--- _id: '53959' abstract: - lang: eng text: In light of the growing interest in type inference research for Python, both researchers and practitioners require a standardized process to assess the performance of various type inference techniques. This paper introduces TypeEvalPy, a comprehensive micro-benchmarking framework for evaluating type inference tools. TypeEvalPy contains 154 code snippets with 845 type annotations across 18 categories that target various Python features. The framework manages the execution of containerized tools, transforms inferred types into a standardized format, and produces meaningful metrics for assessment. Through our analysis, we compare the performance of six type inference tools, highlighting their strengths and limitations. Our findings provide a foundation for further research and optimization in the domain of Python type inference. author: - first_name: Ashwin Prasad full_name: Shivarpatna Venkatesh, Ashwin Prasad id: '66637' last_name: Shivarpatna Venkatesh - first_name: Samkutty full_name: Sabu, Samkutty last_name: Sabu - first_name: Jiawei full_name: Wang, Jiawei last_name: Wang - first_name: Amir M. full_name: Mir, Amir M. last_name: Mir - first_name: Li full_name: Li, Li last_name: Li - first_name: Eric full_name: Bodden, Eric id: '59256' last_name: Bodden orcid: 0000-0003-3470-3647 citation: ama: 'Shivarpatna Venkatesh AP, Sabu S, Wang J, Mir AM, Li L, Bodden E. TypeEvalPy: A Micro-benchmarking Framework for Python Type Inference  Tools. In: Proceedings of the 2024 IEEE/ACM 46th International Conference on Software Engineering: Companion Proceedings. ICSE-Companion 24. Association for Computing Machinery; 2024:49-53. doi:10.1145/3639478.3640033' apa: 'Shivarpatna Venkatesh, A. P., Sabu, S., Wang, J., Mir, A. M., Li, L., & Bodden, E. (2024). TypeEvalPy: A Micro-benchmarking Framework for Python Type Inference  Tools. Proceedings of the 2024 IEEE/ACM 46th International Conference on Software Engineering: Companion Proceedings, 49–53. https://doi.org/10.1145/3639478.3640033' bibtex: '@inproceedings{Shivarpatna Venkatesh_Sabu_Wang_Mir_Li_Bodden_2024, place={New York, NY, USA}, series={ICSE-Companion 24}, title={TypeEvalPy: A Micro-benchmarking Framework for Python Type Inference  Tools}, DOI={10.1145/3639478.3640033}, booktitle={Proceedings of the 2024 IEEE/ACM 46th International Conference on Software Engineering: Companion Proceedings}, publisher={Association for Computing Machinery}, author={Shivarpatna Venkatesh, Ashwin Prasad and Sabu, Samkutty and Wang, Jiawei and Mir, Amir M. and Li, Li and Bodden, Eric}, year={2024}, pages={49–53}, collection={ICSE-Companion 24} }' chicago: 'Shivarpatna Venkatesh, Ashwin Prasad, Samkutty Sabu, Jiawei Wang, Amir M. Mir, Li Li, and Eric Bodden. “TypeEvalPy: A Micro-Benchmarking Framework for Python Type Inference  Tools.” In Proceedings of the 2024 IEEE/ACM 46th International Conference on Software Engineering: Companion Proceedings, 49–53. ICSE-Companion 24. New York, NY, USA: Association for Computing Machinery, 2024. https://doi.org/10.1145/3639478.3640033.' ieee: 'A. P. Shivarpatna Venkatesh, S. Sabu, J. Wang, A. M. Mir, L. Li, and E. Bodden, “TypeEvalPy: A Micro-benchmarking Framework for Python Type Inference  Tools,” in Proceedings of the 2024 IEEE/ACM 46th International Conference on Software Engineering: Companion Proceedings, Lisbon, Portugal, 2024, pp. 49–53, doi: 10.1145/3639478.3640033.' mla: 'Shivarpatna Venkatesh, Ashwin Prasad, et al. “TypeEvalPy: A Micro-Benchmarking Framework for Python Type Inference  Tools.” Proceedings of the 2024 IEEE/ACM 46th International Conference on Software Engineering: Companion Proceedings, Association for Computing Machinery, 2024, pp. 49–53, doi:10.1145/3639478.3640033.' short: 'A.P. Shivarpatna Venkatesh, S. Sabu, J. Wang, A.M. Mir, L. Li, E. Bodden, in: Proceedings of the 2024 IEEE/ACM 46th International Conference on Software Engineering: Companion Proceedings, Association for Computing Machinery, New York, NY, USA, 2024, pp. 49–53.' conference: location: Lisbon, Portugal date_created: 2024-05-06T11:49:22Z date_updated: 2024-08-05T07:49:33Z department: - _id: '76' doi: 10.1145/3639478.3640033 external_id: arxiv: - '2312.16882' language: - iso: eng page: 49-53 place: New York, NY, USA publication: 'Proceedings of the 2024 IEEE/ACM 46th International Conference on Software Engineering: Companion Proceedings' publication_identifier: isbn: - '9798400705021' publisher: Association for Computing Machinery series_title: ICSE-Companion 24 status: public title: 'TypeEvalPy: A Micro-benchmarking Framework for Python Type Inference Tools' type: conference user_id: '15249' year: '2024' ... --- _id: '56207' abstract: - lang: eng text: We present a data acquisition and visualization pipeline that allows experts to monitor additive manufacturing processes, in particular laser metal deposition with wire (LMD-w) processes, in immersive virtual reality. Our virtual environment consists of a digital shadow of the LMD-w production site enriched with additional measurement data shown on both static as well as handheld virtual displays. Users can explore the production site by enhanced teleportation capabilities that enable them to change their scale as well as their elevation above the ground plane. In an exploratory user study with 22 participants, we demonstrate that our system is generally suitable for the supervision of LMD-w processes while generating low task load and cybersickness. Therefore, it serves as a first promising step towards the successful application of virtual reality technology in the comparatively young field of additive manufacturing. author: - first_name: Daniel full_name: Rupp, Daniel last_name: Rupp - first_name: Torsten W. full_name: Kuhlen, Torsten W. last_name: Kuhlen - first_name: Sven full_name: Rarbach, Sven id: '67999' last_name: Rarbach - first_name: Dominik full_name: Wiechel, Dominik id: '67161' last_name: Wiechel - first_name: Jens full_name: Pottebaum, Jens id: '405' last_name: Pottebaum orcid: http://orcid.org/0000-0001-8778-2989 - first_name: Tizia full_name: Weidemann, Tizia last_name: Weidemann - first_name: Duc Thanh full_name: Tran, Duc Thanh last_name: Tran - first_name: Robin full_name: Day, Robin last_name: Day - first_name: Jonas full_name: Zielinski, Jonas last_name: Zielinski - first_name: Valentina full_name: König, Valentina last_name: König - first_name: Jan full_name: Bremer, Jan last_name: Bremer - first_name: Thomas full_name: Kosche, Thomas last_name: Kosche - first_name: Andreas full_name: Grimm, Andreas last_name: Grimm - first_name: Thomas full_name: Bergs, Thomas last_name: Bergs - first_name: Iris full_name: Gräßler, Iris id: '47565' last_name: Gräßler orcid: 0000-0001-5765-971X - first_name: Tim full_name: Weissker, Tim last_name: Weissker citation: ama: 'Rupp D, Kuhlen TW, Rarbach S, et al. Virtual Reality as a Tool for Monitoring Additive Manufacturing Processes via Digital Shadows. In: Proceedings of the GI VR/AR Workshop 2024. Gesellschaft für Informatik e.V.; 2024. doi:10.18420/vrar2024_0006' apa: Rupp, D., Kuhlen, T. W., Rarbach, S., Wiechel, D., Pottebaum, J., Weidemann, T., Tran, D. T., Day, R., Zielinski, J., König, V., Bremer, J., Kosche, T., Grimm, A., Bergs, T., Gräßler, I., & Weissker, T. (2024). Virtual Reality as a Tool for Monitoring Additive Manufacturing Processes via Digital Shadows. Proceedings of the GI VR/AR Workshop 2024. GI VR/AR Workshop 2024, Hamburg. https://doi.org/10.18420/vrar2024_0006 bibtex: '@inproceedings{Rupp_Kuhlen_Rarbach_Wiechel_Pottebaum_Weidemann_Tran_Day_Zielinski_König_et al._2024, title={Virtual Reality as a Tool for Monitoring Additive Manufacturing Processes via Digital Shadows}, DOI={10.18420/vrar2024_0006}, booktitle={Proceedings of the GI VR/AR Workshop 2024}, publisher={Gesellschaft für Informatik e.V.}, author={Rupp, Daniel and Kuhlen, Torsten W. and Rarbach, Sven and Wiechel, Dominik and Pottebaum, Jens and Weidemann, Tizia and Tran, Duc Thanh and Day, Robin and Zielinski, Jonas and König, Valentina and et al.}, year={2024} }' chicago: Rupp, Daniel, Torsten W. Kuhlen, Sven Rarbach, Dominik Wiechel, Jens Pottebaum, Tizia Weidemann, Duc Thanh Tran, et al. “Virtual Reality as a Tool for Monitoring Additive Manufacturing Processes via Digital Shadows.” In Proceedings of the GI VR/AR Workshop 2024. Gesellschaft für Informatik e.V., 2024. https://doi.org/10.18420/vrar2024_0006. ieee: 'D. Rupp et al., “Virtual Reality as a Tool for Monitoring Additive Manufacturing Processes via Digital Shadows,” presented at the GI VR/AR Workshop 2024, Hamburg, 2024, doi: 10.18420/vrar2024_0006.' mla: Rupp, Daniel, et al. “Virtual Reality as a Tool for Monitoring Additive Manufacturing Processes via Digital Shadows.” Proceedings of the GI VR/AR Workshop 2024, Gesellschaft für Informatik e.V., 2024, doi:10.18420/vrar2024_0006. short: 'D. Rupp, T.W. Kuhlen, S. Rarbach, D. Wiechel, J. Pottebaum, T. Weidemann, D.T. Tran, R. Day, J. Zielinski, V. König, J. Bremer, T. Kosche, A. Grimm, T. Bergs, I. Gräßler, T. Weissker, in: Proceedings of the GI VR/AR Workshop 2024, Gesellschaft für Informatik e.V., 2024.' conference: end_date: 18.09.2024 location: Hamburg name: GI VR/AR Workshop 2024 start_date: 17.09.2024 date_created: 2024-09-23T09:30:34Z date_updated: 2024-09-23T09:31:14Z department: - _id: '152' doi: 10.18420/vrar2024_0006 language: - iso: eng main_file_link: - open_access: '1' oa: '1' project: - _id: '684' name: Vitamine 5G - Realitätsnahe Umgebung für Additive Fertigung, ermöglicht durch 5G publication: Proceedings of the GI VR/AR Workshop 2024 publication_status: published publisher: Gesellschaft für Informatik e.V. quality_controlled: '1' status: public title: Virtual Reality as a Tool for Monitoring Additive Manufacturing Processes via Digital Shadows type: conference user_id: '405' year: '2024' ... --- _id: '56221' author: - first_name: Angel E. full_name: Rodriguez-Fernandez, Angel E. last_name: Rodriguez-Fernandez - first_name: Lennart full_name: Schäpermeier, Lennart last_name: Schäpermeier - first_name: Carlos full_name: Hernández, Carlos last_name: Hernández - first_name: Pascal full_name: Kerschke, Pascal last_name: Kerschke - first_name: Heike full_name: Trautmann, Heike id: '100740' last_name: Trautmann orcid: 0000-0002-9788-8282 - first_name: Oliver full_name: Schütze, Oliver last_name: Schütze citation: ama: Rodriguez-Fernandez AE, Schäpermeier L, Hernández C, Kerschke P, Trautmann H, Schütze O. Finding ϵ-Locally Optimal Solutions for Multi-Objective Multimodal Optimization. IEEE Transactions on Evolutionary Computation. Published online 2024:1-1. doi:10.1109/TEVC.2024.3458855 apa: Rodriguez-Fernandez, A. E., Schäpermeier, L., Hernández, C., Kerschke, P., Trautmann, H., & Schütze, O. (2024). Finding ϵ-Locally Optimal Solutions for Multi-Objective Multimodal Optimization. IEEE Transactions on Evolutionary Computation, 1–1. https://doi.org/10.1109/TEVC.2024.3458855 bibtex: '@article{Rodriguez-Fernandez_Schäpermeier_Hernández_Kerschke_Trautmann_Schütze_2024, title={Finding ϵ-Locally Optimal Solutions for Multi-Objective Multimodal Optimization}, DOI={10.1109/TEVC.2024.3458855}, journal={IEEE Transactions on Evolutionary Computation}, author={Rodriguez-Fernandez, Angel E. and Schäpermeier, Lennart and Hernández, Carlos and Kerschke, Pascal and Trautmann, Heike and Schütze, Oliver}, year={2024}, pages={1–1} }' chicago: Rodriguez-Fernandez, Angel E., Lennart Schäpermeier, Carlos Hernández, Pascal Kerschke, Heike Trautmann, and Oliver Schütze. “Finding ϵ-Locally Optimal Solutions for Multi-Objective Multimodal Optimization.” IEEE Transactions on Evolutionary Computation, 2024, 1–1. https://doi.org/10.1109/TEVC.2024.3458855. ieee: 'A. E. Rodriguez-Fernandez, L. Schäpermeier, C. Hernández, P. Kerschke, H. Trautmann, and O. Schütze, “Finding ϵ-Locally Optimal Solutions for Multi-Objective Multimodal Optimization,” IEEE Transactions on Evolutionary Computation, pp. 1–1, 2024, doi: 10.1109/TEVC.2024.3458855.' mla: Rodriguez-Fernandez, Angel E., et al. “Finding ϵ-Locally Optimal Solutions for Multi-Objective Multimodal Optimization.” IEEE Transactions on Evolutionary Computation, 2024, pp. 1–1, doi:10.1109/TEVC.2024.3458855. short: A.E. Rodriguez-Fernandez, L. Schäpermeier, C. Hernández, P. Kerschke, H. Trautmann, O. Schütze, IEEE Transactions on Evolutionary Computation (2024) 1–1. date_created: 2024-09-24T08:01:14Z date_updated: 2024-09-24T08:01:47Z doi: 10.1109/TEVC.2024.3458855 keyword: - Optimization - Evolutionary computation - Approximation algorithms - Benchmark testing - Vectors - Surveys - Pareto optimization - multi-objective optimization - evolutionary computation - multimodal optimization - local solutions language: - iso: eng page: 1-1 publication: IEEE Transactions on Evolutionary Computation status: public title: Finding ϵ-Locally Optimal Solutions for Multi-Objective Multimodal Optimization type: journal_article user_id: '15504' year: '2024' ... --- _id: '46649' abstract: - lang: eng text: "Different conflicting optimization criteria arise naturally in various Deep\r\nLearning scenarios. These can address different main tasks (i.e., in the\r\nsetting of Multi-Task Learning), but also main and secondary tasks such as loss\r\nminimization versus sparsity. The usual approach is a simple weighting of the\r\ncriteria, which formally only works in the convex setting. In this paper, we\r\npresent a Multi-Objective Optimization algorithm using a modified Weighted\r\nChebyshev scalarization for training Deep Neural Networks (DNNs) with respect\r\nto several tasks. By employing this scalarization technique, the algorithm can\r\nidentify all optimal solutions of the original problem while reducing its\r\ncomplexity to a sequence of single-objective problems. The simplified problems\r\nare then solved using an Augmented Lagrangian method, enabling the use of\r\npopular optimization techniques such as Adam and Stochastic Gradient Descent,\r\nwhile efficaciously handling constraints. Our work aims to address the\r\n(economical and also ecological) sustainability issue of DNN models, with a\r\nparticular focus on Deep Multi-Task models, which are typically designed with a\r\nvery large number of weights to perform equally well on multiple tasks. Through\r\nexperiments conducted on two Machine Learning datasets, we demonstrate the\r\npossibility of adaptively sparsifying the model during training without\r\nsignificantly impacting its performance, if we are willing to apply\r\ntask-specific adaptations to the network weights. Code is available at\r\nhttps://github.com/salomonhotegni/MDMTN." author: - first_name: Sedjro Salomon full_name: Hotegni, Sedjro Salomon id: '97995' last_name: Hotegni - first_name: Manuel Bastian full_name: Berkemeier, Manuel Bastian id: '51701' last_name: Berkemeier - first_name: Sebastian full_name: Peitz, Sebastian id: '47427' last_name: Peitz orcid: 0000-0002-3389-793X citation: ama: 'Hotegni SS, Berkemeier MB, Peitz S. Multi-Objective Optimization for Sparse Deep Multi-Task Learning. In: 2024 International Joint Conference on Neural Networks (IJCNN). IEEE; 2024:9. doi:10.1109/IJCNN60899.2024.10650994' apa: Hotegni, S. S., Berkemeier, M. B., & Peitz, S. (2024). Multi-Objective Optimization for Sparse Deep Multi-Task Learning. 2024 International Joint Conference on Neural Networks (IJCNN), 9. https://doi.org/10.1109/IJCNN60899.2024.10650994 bibtex: '@inproceedings{Hotegni_Berkemeier_Peitz_2024, place={Yokohama, Japan}, title={Multi-Objective Optimization for Sparse Deep Multi-Task Learning}, DOI={10.1109/IJCNN60899.2024.10650994}, booktitle={2024 International Joint Conference on Neural Networks (IJCNN)}, publisher={IEEE}, author={Hotegni, Sedjro Salomon and Berkemeier, Manuel Bastian and Peitz, Sebastian}, year={2024}, pages={9} }' chicago: 'Hotegni, Sedjro Salomon, Manuel Bastian Berkemeier, and Sebastian Peitz. “Multi-Objective Optimization for Sparse Deep Multi-Task Learning.” In 2024 International Joint Conference on Neural Networks (IJCNN), 9. Yokohama, Japan: IEEE, 2024. https://doi.org/10.1109/IJCNN60899.2024.10650994.' ieee: 'S. S. Hotegni, M. B. Berkemeier, and S. Peitz, “Multi-Objective Optimization for Sparse Deep Multi-Task Learning,” in 2024 International Joint Conference on Neural Networks (IJCNN), Yokohama, Japan, 2024, p. 9, doi: 10.1109/IJCNN60899.2024.10650994.' mla: Hotegni, Sedjro Salomon, et al. “Multi-Objective Optimization for Sparse Deep Multi-Task Learning.” 2024 International Joint Conference on Neural Networks (IJCNN), IEEE, 2024, p. 9, doi:10.1109/IJCNN60899.2024.10650994. short: 'S.S. Hotegni, M.B. Berkemeier, S. Peitz, in: 2024 International Joint Conference on Neural Networks (IJCNN), IEEE, Yokohama, Japan, 2024, p. 9.' conference: end_date: 2024-07-05 location: Yokohama, Japan name: 2024 International Joint Conference on Neural Networks (IJCNN) start_date: 2024-06-30 date_created: 2023-08-24T07:44:36Z date_updated: 2024-09-27T10:24:22Z department: - _id: '655' doi: 10.1109/IJCNN60899.2024.10650994 has_accepted_license: '1' language: - iso: eng main_file_link: - open_access: '1' url: https://ieeexplore.ieee.org/document/10650994 oa: '1' page: '9' place: Yokohama, Japan publication: 2024 International Joint Conference on Neural Networks (IJCNN) publication_identifier: eisbn: - 979-8-3503-5931-2 eissn: - ' 2161-4407' publication_status: published publisher: IEEE status: public title: Multi-Objective Optimization for Sparse Deep Multi-Task Learning type: conference user_id: '97995' year: '2024' ... --- _id: '54847' abstract: - lang: eng text: The widespread adoption of ultra-high strength steels, due to their high bulk resistivity, intensifies expulsion issues in resistance spot welding (RSW), deteriorating both the spot weld and surface quality. This study presents a novel approach to prevent expulsion by employing a preheating current. Through characteristic analysis of joint formation under critical welding current, the importance of plastic material encapsulation around the weld nugget (plastic shell) at high temperatures in preventing expulsion is highlighted. To evaluate the effect of preheating on the plastic shell and understand its mechanism in expulsion prevention, a two-dimensional welding simulation model for dissimilar ultra-high strength steel joints was established. The results showed that optimal preheating enhances the thickness of the plastic shell, improving its ability to encapsulate the weld nugget during the primary welding phase, thereby diminishing expulsion risks. Experimental validation confirmed that by employing the optimal preheating current, the maximum nugget diameter was enhanced to 9.42 mm, marking an increase of 13.4 % and extending the weldable current range by 27.5 %. Under quasi-static cross-tensile loading, joints with preheating demonstrated a 7.9 % enhancement in maximum load-bearing capacity compared to joints without preheating, showing a reproducible and complete pull-out failure mode within the heat-affected zone. This study offers a prevention method based on underlying mechanisms, providing a new perspective for future research on welding parameter optimization with the aim of expulsion prevention. article_type: original author: - first_name: Keke full_name: Yang, Keke id: '65085' last_name: Yang orcid: 0000-0001-9201-9304 - first_name: Bassel full_name: El-Sari, Bassel last_name: El-Sari - first_name: Viktoria full_name: Olfert, Viktoria id: '5974' last_name: Olfert - first_name: Zhuoqun full_name: Wang, Zhuoqun last_name: Wang - first_name: Max full_name: Biegler, Max last_name: Biegler - first_name: Michael full_name: Rethmeier, Michael last_name: Rethmeier - first_name: Gerson full_name: Meschut, Gerson id: '32056' last_name: Meschut orcid: 0000-0002-2763-1246 citation: ama: 'Yang K, El-Sari B, Olfert V, et al. Expulsion prevention in resistance spot welding of dissimilar joints with ultra-high strength steel: An analysis of the mechanism and effect of preheating current. Journal of Manufacturing Processes. 2024;124:489-502. doi:10.1016/j.jmapro.2024.06.034' apa: 'Yang, K., El-Sari, B., Olfert, V., Wang, Z., Biegler, M., Rethmeier, M., & Meschut, G. (2024). Expulsion prevention in resistance spot welding of dissimilar joints with ultra-high strength steel: An analysis of the mechanism and effect of preheating current. Journal of Manufacturing Processes, 124, 489–502. https://doi.org/10.1016/j.jmapro.2024.06.034' bibtex: '@article{Yang_El-Sari_Olfert_Wang_Biegler_Rethmeier_Meschut_2024, title={Expulsion prevention in resistance spot welding of dissimilar joints with ultra-high strength steel: An analysis of the mechanism and effect of preheating current}, volume={124}, DOI={10.1016/j.jmapro.2024.06.034}, journal={Journal of Manufacturing Processes}, publisher={Elsevier BV}, author={Yang, Keke and El-Sari, Bassel and Olfert, Viktoria and Wang, Zhuoqun and Biegler, Max and Rethmeier, Michael and Meschut, Gerson}, year={2024}, pages={489–502} }' chicago: 'Yang, Keke, Bassel El-Sari, Viktoria Olfert, Zhuoqun Wang, Max Biegler, Michael Rethmeier, and Gerson Meschut. “Expulsion Prevention in Resistance Spot Welding of Dissimilar Joints with Ultra-High Strength Steel: An Analysis of the Mechanism and Effect of Preheating Current.” Journal of Manufacturing Processes 124 (2024): 489–502. https://doi.org/10.1016/j.jmapro.2024.06.034.' ieee: 'K. Yang et al., “Expulsion prevention in resistance spot welding of dissimilar joints with ultra-high strength steel: An analysis of the mechanism and effect of preheating current,” Journal of Manufacturing Processes, vol. 124, pp. 489–502, 2024, doi: 10.1016/j.jmapro.2024.06.034.' mla: 'Yang, Keke, et al. “Expulsion Prevention in Resistance Spot Welding of Dissimilar Joints with Ultra-High Strength Steel: An Analysis of the Mechanism and Effect of Preheating Current.” Journal of Manufacturing Processes, vol. 124, Elsevier BV, 2024, pp. 489–502, doi:10.1016/j.jmapro.2024.06.034.' short: K. Yang, B. El-Sari, V. Olfert, Z. Wang, M. Biegler, M. Rethmeier, G. Meschut, Journal of Manufacturing Processes 124 (2024) 489–502. date_created: 2024-06-23T21:58:29Z date_updated: 2024-10-18T06:59:27Z ddc: - '670' department: - _id: '157' doi: 10.1016/j.jmapro.2024.06.034 file: - access_level: closed content_type: application/pdf creator: kekeyang date_created: 2024-06-23T21:59:20Z date_updated: 2024-06-23T21:59:20Z file_id: '54848' file_name: 1-s2.0-S1526612524006145-main.pdf file_size: 12432409 relation: main_file success: 1 file_date_updated: 2024-06-23T21:59:20Z has_accepted_license: '1' intvolume: ' 124' keyword: - Expulsion Resistance spot welding Finite element modelling Preheating Weldable current range Ultra-high strength steel language: - iso: eng main_file_link: - open_access: '1' url: https://www.sciencedirect.com/science/article/pii/S1526612524006145 oa: '1' page: 489-502 publication: Journal of Manufacturing Processes publication_identifier: issn: - 1526-6125 publication_status: published publisher: Elsevier BV quality_controlled: '1' status: public title: 'Expulsion prevention in resistance spot welding of dissimilar joints with ultra-high strength steel: An analysis of the mechanism and effect of preheating current' type: journal_article user_id: '65085' volume: 124 year: '2024' ... --- _id: '55654' article_number: '108838' article_type: original author: - first_name: Lilli Sophia full_name: Röder, Lilli Sophia last_name: Röder - first_name: Arne full_name: Gröngröft, Arne last_name: Gröngröft - first_name: Marcus full_name: Grünewald, Marcus last_name: Grünewald - first_name: Julia full_name: Riese, Julia id: '101499' last_name: Riese orcid: 0000-0002-3053-0534 citation: ama: Röder LS, Gröngröft A, Grünewald M, Riese J. Optimization of Design and Operation of a Digestate Treatment Cascade for Demand Side Management Implementation. Computers & Chemical Engineering. Published online 2024. doi:10.1016/j.compchemeng.2024.108838 apa: Röder, L. S., Gröngröft, A., Grünewald, M., & Riese, J. (2024). Optimization of Design and Operation of a Digestate Treatment Cascade for Demand Side Management Implementation. Computers & Chemical Engineering, Article 108838. https://doi.org/10.1016/j.compchemeng.2024.108838 bibtex: '@article{Röder_Gröngröft_Grünewald_Riese_2024, title={Optimization of Design and Operation of a Digestate Treatment Cascade for Demand Side Management Implementation}, DOI={10.1016/j.compchemeng.2024.108838}, number={108838}, journal={Computers & Chemical Engineering}, publisher={Elsevier BV}, author={Röder, Lilli Sophia and Gröngröft, Arne and Grünewald, Marcus and Riese, Julia}, year={2024} }' chicago: Röder, Lilli Sophia, Arne Gröngröft, Marcus Grünewald, and Julia Riese. “Optimization of Design and Operation of a Digestate Treatment Cascade for Demand Side Management Implementation.” Computers & Chemical Engineering, 2024. https://doi.org/10.1016/j.compchemeng.2024.108838. ieee: 'L. S. Röder, A. Gröngröft, M. Grünewald, and J. Riese, “Optimization of Design and Operation of a Digestate Treatment Cascade for Demand Side Management Implementation,” Computers & Chemical Engineering, Art. no. 108838, 2024, doi: 10.1016/j.compchemeng.2024.108838.' mla: Röder, Lilli Sophia, et al. “Optimization of Design and Operation of a Digestate Treatment Cascade for Demand Side Management Implementation.” Computers & Chemical Engineering, 108838, Elsevier BV, 2024, doi:10.1016/j.compchemeng.2024.108838. short: L.S. Röder, A. Gröngröft, M. Grünewald, J. Riese, Computers & Chemical Engineering (2024). date_created: 2024-08-19T14:30:54Z date_updated: 2024-10-22T09:53:02Z department: - _id: '831' doi: 10.1016/j.compchemeng.2024.108838 language: - iso: eng publication: Computers & Chemical Engineering publication_identifier: issn: - 0098-1354 publication_status: published publisher: Elsevier BV quality_controlled: '1' status: public title: Optimization of Design and Operation of a Digestate Treatment Cascade for Demand Side Management Implementation type: journal_article user_id: '101499' year: '2024' ... --- _id: '56888' abstract: - lang: ger text: "Elterliche Unterstützung bei der Internetnutzung geriet durch die Covid-19-Pandemie stärker in den Fokus, auch wenn diese bereits vor der Pandemie aufgrund der nur langsam fortschreitenden Digitalisierung von Schulen elementar war. Neben der Relevanz der Quantität elterlicher Unterstützung ist in Untersuchungen zur Rolle der Familie für das Lernen mit digitalen Medien auch die Qualität von zentraler Bedeutung (Bonanati et al., 2022). Dabei erwies sich allgemein in der Forschung zur elterlichen Hausaufgabenunterstützung eine autonomieunterstützende, strukturgebende und zugleich wertschätzende Instruktion als besonders gewinnbringend (Dumont et al., 2014). Zudem ist bekannt, dass die elterliche Unterstützung unter anderem auf Grund der steigenden Komplexität der Unterrichtsinhalte, der steigenden Selbstständigkeit sowie dem zunehmenden Autonomiebedürfnis der Lernenden im Schulverlauf abnimmt (Luplow & Schneider, 2018). Wie sich die elterliche Unterstützung bei der informationsorientierten Internetnutzung von Kindern über die Zeit und mit Beginn der Covid-19-Pandemie verändert, ist relevant für den Förderkontext, bislang aber nur wenig betrachtet worden und deshalb Ziel der vorliegenden Untersuchung.\r\nGrundlage der vorliegenden Untersuchung sind längsschnittliche Daten von 395 Schüler*innen sowie 191 Eltern, die im Jahr 2019/2020 in fünften Klassen (~10-11 Jahre) und im Jahr 2021/22 in siebten Klassen (~12-13 Jahre) erhoben wurden. \r\nDie Ergebnisse zeigten eine Abnahme der Quantität elterlicher Instruktion von der fünften zur siebten Jahrgansstufe sowohl aus Eltern- als auch aus Kinderperspektive. Hinsichtlich der Qualität elterlicher Unterstützung berichteten Eltern in der 7. Klassenstufe von weniger autonomieunterstützender Instruktion, während Kinder der 7. Klassenstufe von einer weniger autonomieunterstützenden und wertschätzenden Instruktion berichteten. Weitere Ergebnisse werden in dem Vortrag diskutiert." author: - first_name: Nicole full_name: Gruchel, Nicole id: '38556' last_name: Gruchel - first_name: Ricarda full_name: Kurock, Ricarda id: '78797' last_name: Kurock - first_name: Heike M. full_name: Buhl, Heike M. last_name: Buhl citation: ama: 'Gruchel N, Kurock R, Buhl HM. Digitale häusliche Lernumwelt – Veränderungen der elterlichen Unterstützung bei der informationsorientierten Internetnutzung von Fünft- und Siebtklässler*innen . In: ; 2024.' apa: Gruchel, N., Kurock, R., & Buhl, H. M. (2024). Digitale häusliche Lernumwelt – Veränderungen der elterlichen Unterstützung bei der informationsorientierten Internetnutzung von Fünft- und Siebtklässler*innen . Deutsche Gesellschaft für Psychologie, Wien. bibtex: '@inproceedings{Gruchel_Kurock_Buhl_2024, title={Digitale häusliche Lernumwelt – Veränderungen der elterlichen Unterstützung bei der informationsorientierten Internetnutzung von Fünft- und Siebtklässler*innen }, author={Gruchel, Nicole and Kurock, Ricarda and Buhl, Heike M.}, year={2024} }' chicago: Gruchel, Nicole, Ricarda Kurock, and Heike M. Buhl. “Digitale Häusliche Lernumwelt – Veränderungen Der Elterlichen Unterstützung Bei Der Informationsorientierten Internetnutzung von Fünft- Und Siebtklässler*innen ,” 2024. ieee: N. Gruchel, R. Kurock, and H. M. Buhl, “Digitale häusliche Lernumwelt – Veränderungen der elterlichen Unterstützung bei der informationsorientierten Internetnutzung von Fünft- und Siebtklässler*innen ,” presented at the Deutsche Gesellschaft für Psychologie, Wien, 2024. mla: Gruchel, Nicole, et al. Digitale Häusliche Lernumwelt – Veränderungen Der Elterlichen Unterstützung Bei Der Informationsorientierten Internetnutzung von Fünft- Und Siebtklässler*innen . 2024. short: 'N. Gruchel, R. Kurock, H.M. Buhl, in: 2024.' conference: end_date: 2024-09-19 location: Wien name: Deutsche Gesellschaft für Psychologie start_date: 2024-09-26 date_created: 2024-11-06T08:35:04Z date_updated: 2024-11-06T10:06:43Z department: - _id: '427' language: - iso: eng popular_science: '1' quality_controlled: '1' status: public title: 'Digitale häusliche Lernumwelt – Veränderungen der elterlichen Unterstützung bei der informationsorientierten Internetnutzung von Fünft- und Siebtklässler*innen ' type: conference user_id: '38556' year: '2024' ... --- _id: '58325' alternative_title: - Mit Texten von Jens Schröter und Michael Kröger. 80 farbige Abb. [= Katalog anlässlich der gleichnamigen Ausstellung im Kunstverein Paderborn. 22. März bis 5. Mai 2024]. author: - first_name: Sabiene full_name: Autsch, Sabiene id: '15' last_name: Autsch citation: ama: Autsch S. Micro Archives. Künstlerische Arbeiten 2019-2024. . Edition Imorde ; 2024. apa: Autsch, S. (2024). Micro Archives. Künstlerische Arbeiten 2019-2024. . Edition Imorde . bibtex: '@book{Autsch_2024, place={Berlin}, title={Micro Archives. Künstlerische Arbeiten 2019-2024. }, publisher={Edition Imorde }, author={Autsch, Sabiene}, year={2024} }' chicago: 'Autsch, Sabiene. Micro Archives. Künstlerische Arbeiten 2019-2024. . Berlin: Edition Imorde , 2024.' ieee: 'S. Autsch, Micro Archives. Künstlerische Arbeiten 2019-2024. . Berlin: Edition Imorde , 2024.' mla: Autsch, Sabiene. Micro Archives. Künstlerische Arbeiten 2019-2024. . Edition Imorde , 2024. short: S. Autsch, Micro Archives. Künstlerische Arbeiten 2019-2024. , Edition Imorde , Berlin, 2024. date_created: 2025-01-22T13:54:47Z date_updated: 2025-01-22T13:54:55Z language: - iso: ger place: Berlin publication_status: published publisher: 'Edition Imorde ' status: public title: 'Micro Archives. Künstlerische Arbeiten 2019-2024. ' type: misc user_id: '89836' year: '2024' ... --- _id: '58335' author: - first_name: Moritz full_name: Seiler, Moritz id: '105520' last_name: Seiler - first_name: Urban full_name: Skvorc, Urban id: '103764' last_name: Skvorc - first_name: Carola full_name: Doerr, Carola last_name: Doerr - first_name: Heike full_name: Trautmann, Heike id: '100740' last_name: Trautmann orcid: 0000-0002-9788-8282 citation: ama: 'Seiler M, Skvorc U, Doerr C, Trautmann H. Synergies of Deep and Classical Exploratory Landscape Features for Automated Algorithm Selection. In: Festa P, Ferone D, Pastore T, Pisacane O, eds. Learning and Intelligent Optimization - 18th International Conference, LION 18, Ischia Island, Italy, June 9-13, 2024, Revised Selected Papers. Vol 14990. Lecture Notes in Computer Science. Springer; 2024:361–376. doi:10.1007/978-3-031-75623-8_29' apa: Seiler, M., Skvorc, U., Doerr, C., & Trautmann, H. (2024). Synergies of Deep and Classical Exploratory Landscape Features for Automated Algorithm Selection. In P. Festa, D. Ferone, T. Pastore, & O. Pisacane (Eds.), Learning and Intelligent Optimization - 18th International Conference, LION 18, Ischia Island, Italy, June 9-13, 2024, Revised Selected Papers (Vol. 14990, pp. 361–376). Springer. https://doi.org/10.1007/978-3-031-75623-8_29 bibtex: '@inproceedings{Seiler_Skvorc_Doerr_Trautmann_2024, series={Lecture Notes in Computer Science}, title={Synergies of Deep and Classical Exploratory Landscape Features for Automated Algorithm Selection}, volume={14990}, DOI={10.1007/978-3-031-75623-8_29}, booktitle={Learning and Intelligent Optimization - 18th International Conference, LION 18, Ischia Island, Italy, June 9-13, 2024, Revised Selected Papers}, publisher={Springer}, author={Seiler, Moritz and Skvorc, Urban and Doerr, Carola and Trautmann, Heike}, editor={Festa, Paola and Ferone, Daniele and Pastore, Tommaso and Pisacane, Ornella}, year={2024}, pages={361–376}, collection={Lecture Notes in Computer Science} }' chicago: Seiler, Moritz, Urban Skvorc, Carola Doerr, and Heike Trautmann. “Synergies of Deep and Classical Exploratory Landscape Features for Automated Algorithm Selection.” In Learning and Intelligent Optimization - 18th International Conference, LION 18, Ischia Island, Italy, June 9-13, 2024, Revised Selected Papers, edited by Paola Festa, Daniele Ferone, Tommaso Pastore, and Ornella Pisacane, 14990:361–376. Lecture Notes in Computer Science. Springer, 2024. https://doi.org/10.1007/978-3-031-75623-8_29. ieee: 'M. Seiler, U. Skvorc, C. Doerr, and H. Trautmann, “Synergies of Deep and Classical Exploratory Landscape Features for Automated Algorithm Selection,” in Learning and Intelligent Optimization - 18th International Conference, LION 18, Ischia Island, Italy, June 9-13, 2024, Revised Selected Papers, 2024, vol. 14990, pp. 361–376, doi: 10.1007/978-3-031-75623-8_29.' mla: Seiler, Moritz, et al. “Synergies of Deep and Classical Exploratory Landscape Features for Automated Algorithm Selection.” Learning and Intelligent Optimization - 18th International Conference, LION 18, Ischia Island, Italy, June 9-13, 2024, Revised Selected Papers, edited by Paola Festa et al., vol. 14990, Springer, 2024, pp. 361–376, doi:10.1007/978-3-031-75623-8_29. short: 'M. Seiler, U. Skvorc, C. Doerr, H. Trautmann, in: P. Festa, D. Ferone, T. Pastore, O. Pisacane (Eds.), Learning and Intelligent Optimization - 18th International Conference, LION 18, Ischia Island, Italy, June 9-13, 2024, Revised Selected Papers, Springer, 2024, pp. 361–376.' date_created: 2025-01-23T12:39:37Z date_updated: 2025-01-23T12:40:32Z department: - _id: '819' doi: 10.1007/978-3-031-75623-8_29 editor: - first_name: Paola full_name: Festa, Paola last_name: Festa - first_name: Daniele full_name: Ferone, Daniele last_name: Ferone - first_name: Tommaso full_name: Pastore, Tommaso last_name: Pastore - first_name: Ornella full_name: Pisacane, Ornella last_name: Pisacane intvolume: ' 14990' language: - iso: eng page: 361–376 publication: Learning and Intelligent Optimization - 18th International Conference, LION 18, Ischia Island, Italy, June 9-13, 2024, Revised Selected Papers publisher: Springer series_title: Lecture Notes in Computer Science status: public title: Synergies of Deep and Classical Exploratory Landscape Features for Automated Algorithm Selection type: conference user_id: '15504' volume: 14990 year: '2024' ... --- _id: '58441' abstract: - lang: eng text: This study presents a numerical approach using a 3D finite element model to quantify the remaining clamp load of a plastic nut joint after a specific time. The viscoelastic relaxation of a thermoplastic nut, which is predominantly screwed on a welding stud, is described by a material card using Prony Series. Prony Series are derived from experimental Dynamical Mechanical Analysis with different moisture and fiber contents of the thermoplastic. Since plastic nuts usually do not have preformed threads, the increased temperatures and resulting stresses from the thread-forming process are considered in the simulation. Firstly, the FE model is verified by substrate stress relaxation tests. Subsequently, experimental clamp load measurements with miniature compression load cells verify the clamp load prediction. Finally, the developed model is used to analyze the clamp load distribution within the threads author: - first_name: Jan full_name: Wippermann, Jan id: '55686' last_name: Wippermann orcid: 0000-0002-5013-853X - first_name: Gerson full_name: Meschut, Gerson id: '32056' last_name: Meschut orcid: 0000-0002-2763-1246 citation: ama: Wippermann J, Meschut G. Numerical modeling of clamp load relaxation of plastic nuts under varying moisture and fiber content. Published online 2024. apa: Wippermann, J., & Meschut, G. (2024). Numerical modeling of clamp load relaxation of plastic nuts under varying moisture and fiber content. Springer Science and Business Media LLC. bibtex: '@article{Wippermann_Meschut_2024, title={Numerical modeling of clamp load relaxation of plastic nuts under varying moisture and fiber content}, publisher={Springer Science and Business Media LLC}, author={Wippermann, Jan and Meschut, Gerson}, year={2024} }' chicago: Wippermann, Jan, and Gerson Meschut. “Numerical Modeling of Clamp Load Relaxation of Plastic Nuts under Varying Moisture and Fiber Content.” Springer Science and Business Media LLC, 2024. ieee: J. Wippermann and G. Meschut, “Numerical modeling of clamp load relaxation of plastic nuts under varying moisture and fiber content.” Springer Science and Business Media LLC, 2024. mla: Wippermann, Jan, and Gerson Meschut. Numerical Modeling of Clamp Load Relaxation of Plastic Nuts under Varying Moisture and Fiber Content. Springer Science and Business Media LLC, 2024. short: J. Wippermann, G. Meschut, (2024). date_created: 2025-01-30T14:30:09Z date_updated: 2025-01-30T14:41:17Z department: - _id: '157' language: - iso: eng publication_status: published publisher: Springer Science and Business Media LLC status: public title: Numerical modeling of clamp load relaxation of plastic nuts under varying moisture and fiber content type: preprint user_id: '55686' year: '2024' ... --- _id: '58448' abstract: - lang: eng text: Die Inbetriebnahme von Steuerungen und Regelungen stellt sicher, dass ein mechatronisches System ordnungsgemäß funktioniert und den Anforderungen gerecht wird. Der modellbasierte Entwurf basiert auf einem genauen Simulationsmodell. Allerdings ist dieser klassische Weg bei komplexen Systemen oft nicht praktikabel, da die analytische Modellierung zu kompliziert und zeitaufwendig ist. Diese Forschungslücke wird durch Verfahren adressiert, die eine effiziente und sichere Inbetriebnahme ermöglichen. Diese Verfahren kombinieren Regelungstechnik und Reinforcement Learning und nutzen vorhandenes Wissen über die Regelungsaufgabe, um Korrekturen basierend auf Messdaten und der probabilistischen Gauß-Prozess-Regression vorzunehmen. Das Vorwissen kann als teilweise bekanntes physikalisches Modell oder als Steuerungsfunktion vorliegen. Anwendungsbeispiele sind der Ultraschalldrahtbondprozess, verschiedene Pendelsysteme und ein Hexapod. Eine angepasste Bayessche Optimierung wird zur Identifikation einer Steuerparametrisierung für das Ultraschallbonden eingesetzt. Außerdem wird eine hybride Optimalsteuerung für das Doppelpendel auf einem Wagen entwickelt und erfolgreich validiert. Fur einen Hexapod zur Fahrzeugachsprüfung wird eine hybride Zustandslinearisierung formuliert und ein Funktionsnachweis im Rahmen einer Simulation erbracht. Die Einhaltung technischer Rahmenbedingungen und stabiles Systemverhalten werden durch probabilistische Pradiktionen gewährleistet. In allen Anwendungsfällen wird eine Steigerung der Effizienz und Güte erzielt. - lang: eng text: The commissioning of control systems ensures that a mechatronic system functions properly and meets the requirements. Model-based design is based on a precise simulation model. However, this classic approach is often impractical for complex systems, as analytical modeling is too complicated and time-consuming. This research gap is addressed by methods that enable efficient and safe commissioning. These methods combine control engineering and reinforcement learning and use existing knowledge about the control task to make corrections based on measurement data and probabilistic Gaussian process regression. The prior knowledge can be available as a partially known physical model or as a control function. Application examples include the ultrasonic wire bonding process, various pendulum systems and a hexapod. An adapted Bayesian optimization is used to identify a control parameterization for ultrasonic bonding. In addition, a hybrid optimal control for the double pendulum on a cart is developed and successfully validated. A hybrid state linearization is formulated for a hexapod for vehicle axle testing and a proof of concept is provided in a simulation. Compliance with technical framework conditions and stable system behavior are ensured by probabilistic predictions. An increase in efficiency and quality is achieved in all use cases. author: - first_name: Michael full_name: Hesse, Michael id: '29222' last_name: Hesse citation: ama: Hesse M. Interaktive Inbetriebnahme von Steuerungen und Regelungen für partiell bekannte dynamische Systeme mittels Gauß-Prozess-Regression. Vol 426. Heinz Nixdorf Institut; 2024. doi:10.17619/UNIPB/1-2135 apa: Hesse, M. (2024). Interaktive Inbetriebnahme von Steuerungen und Regelungen für partiell bekannte dynamische Systeme mittels Gauß-Prozess-Regression (Vol. 426). Heinz Nixdorf Institut. https://doi.org/10.17619/UNIPB/1-2135 bibtex: '@book{Hesse_2024, place={Paderborn}, series={Verlagsschriftenreihe des Heinz Nixdorf Instituts}, title={Interaktive Inbetriebnahme von Steuerungen und Regelungen für partiell bekannte dynamische Systeme mittels Gauß-Prozess-Regression}, volume={426}, DOI={10.17619/UNIPB/1-2135}, publisher={Heinz Nixdorf Institut}, author={Hesse, Michael}, year={2024}, collection={Verlagsschriftenreihe des Heinz Nixdorf Instituts} }' chicago: 'Hesse, Michael. Interaktive Inbetriebnahme von Steuerungen und Regelungen für partiell bekannte dynamische Systeme mittels Gauß-Prozess-Regression. Vol. 426. Verlagsschriftenreihe des Heinz Nixdorf Instituts. Paderborn: Heinz Nixdorf Institut, 2024. https://doi.org/10.17619/UNIPB/1-2135.' ieee: 'M. Hesse, Interaktive Inbetriebnahme von Steuerungen und Regelungen für partiell bekannte dynamische Systeme mittels Gauß-Prozess-Regression, vol. 426. Paderborn: Heinz Nixdorf Institut, 2024.' mla: Hesse, Michael. Interaktive Inbetriebnahme von Steuerungen und Regelungen für partiell bekannte dynamische Systeme mittels Gauß-Prozess-Regression. Heinz Nixdorf Institut, 2024, doi:10.17619/UNIPB/1-2135. short: M. Hesse, Interaktive Inbetriebnahme von Steuerungen und Regelungen für partiell bekannte dynamische Systeme mittels Gauß-Prozess-Regression, Heinz Nixdorf Institut, Paderborn, 2024. date_created: 2025-01-30T14:45:46Z date_updated: 2025-01-30T14:58:46Z department: - _id: '153' - _id: '880' doi: 10.17619/UNIPB/1-2135 intvolume: ' 426' language: - iso: ger main_file_link: - open_access: '1' url: https://digital.ub.uni-paderborn.de/doi/10.17619/UNIPB/1-2135 oa: '1' place: Paderborn publication_identifier: eissn: - 2365-4422 isbn: - 978-3-947647-45-3 publication_status: published publisher: Heinz Nixdorf Institut series_title: Verlagsschriftenreihe des Heinz Nixdorf Instituts status: public supervisor: - first_name: Julia full_name: Timmermann, Julia id: '15402' last_name: Timmermann - first_name: Eyke full_name: Hüllermeier, Eyke last_name: Hüllermeier title: Interaktive Inbetriebnahme von Steuerungen und Regelungen für partiell bekannte dynamische Systeme mittels Gauß-Prozess-Regression type: dissertation user_id: '82875' volume: 426 year: '2024' ... --- _id: '58491' abstract: - lang: eng text: Similar to bulk metal forming, clinch joining is characterised by large plastic deformations and a variety of different 3D stress states, including severe compression. However, inherent to plastic forming is the nucleation and growth of defects, whose detrimental effects on the material behaviour can be described by continuum damage models and eventually lead to material failure. As the damage evolution strongly depends on the stress state, a stress-state-dependent model is utilised to correctly track the accumulation. To formulate and parameterise this model, besides classical experiments, so-called modified punch tests are also integrated herein to enhance the calibration of the failure model by capturing a larger range of stress states and metal-forming-specific loading conditions. Moreover, when highly ductile materials are considered, such as the dual-phase steel HCT590X and the aluminium alloy EN AW-6014 T4 investigated here, strong necking and localisation might occur prior to fracture. This can alter the stress state and affect the actual strain at failure. This influence is captured by coupling plasticity and damage to incorporate the damage-induced softening effect. Its relative importance is shown by conducting inverse parameter identifications to determine damage and failure parameters for both mentioned ductile metals based on up to 12 different experiments. article_number: '157' author: - first_name: Johannes full_name: Friedlein, Johannes last_name: Friedlein - first_name: Max full_name: Böhnke, Max last_name: Böhnke - first_name: Malte full_name: Schlichter, Malte last_name: Schlichter - first_name: Mathias full_name: Bobbert, Mathias last_name: Bobbert - first_name: Gerson full_name: Meschut, Gerson last_name: Meschut - first_name: Julia full_name: Mergheim, Julia last_name: Mergheim - first_name: Paul full_name: Steinmann, Paul last_name: Steinmann citation: ama: Friedlein J, Böhnke M, Schlichter M, et al. Material Parameter Identification for a Stress-State-Dependent Ductile Damage and Failure Model Applied to Clinch Joining. Journal of Manufacturing and Materials Processing. 2024;8(4). doi:10.3390/jmmp8040157 apa: Friedlein, J., Böhnke, M., Schlichter, M., Bobbert, M., Meschut, G., Mergheim, J., & Steinmann, P. (2024). Material Parameter Identification for a Stress-State-Dependent Ductile Damage and Failure Model Applied to Clinch Joining. Journal of Manufacturing and Materials Processing, 8(4), Article 157. https://doi.org/10.3390/jmmp8040157 bibtex: '@article{Friedlein_Böhnke_Schlichter_Bobbert_Meschut_Mergheim_Steinmann_2024, title={Material Parameter Identification for a Stress-State-Dependent Ductile Damage and Failure Model Applied to Clinch Joining}, volume={8}, DOI={10.3390/jmmp8040157}, number={4157}, journal={Journal of Manufacturing and Materials Processing}, publisher={MDPI AG}, author={Friedlein, Johannes and Böhnke, Max and Schlichter, Malte and Bobbert, Mathias and Meschut, Gerson and Mergheim, Julia and Steinmann, Paul}, year={2024} }' chicago: Friedlein, Johannes, Max Böhnke, Malte Schlichter, Mathias Bobbert, Gerson Meschut, Julia Mergheim, and Paul Steinmann. “Material Parameter Identification for a Stress-State-Dependent Ductile Damage and Failure Model Applied to Clinch Joining.” Journal of Manufacturing and Materials Processing 8, no. 4 (2024). https://doi.org/10.3390/jmmp8040157. ieee: 'J. Friedlein et al., “Material Parameter Identification for a Stress-State-Dependent Ductile Damage and Failure Model Applied to Clinch Joining,” Journal of Manufacturing and Materials Processing, vol. 8, no. 4, Art. no. 157, 2024, doi: 10.3390/jmmp8040157.' mla: Friedlein, Johannes, et al. “Material Parameter Identification for a Stress-State-Dependent Ductile Damage and Failure Model Applied to Clinch Joining.” Journal of Manufacturing and Materials Processing, vol. 8, no. 4, 157, MDPI AG, 2024, doi:10.3390/jmmp8040157. short: J. Friedlein, M. Böhnke, M. Schlichter, M. Bobbert, G. Meschut, J. Mergheim, P. Steinmann, Journal of Manufacturing and Materials Processing 8 (2024). date_created: 2025-01-31T16:59:13Z date_updated: 2025-01-31T17:03:34Z doi: 10.3390/jmmp8040157 intvolume: ' 8' issue: '4' keyword: - ductile damage - stress-state dependency - failure - parameter identification - punch test - clinching language: - iso: eng project: - _id: '130' grant_number: '418701707' name: 'TRR 285: TRR 285: Methodenentwicklung zur mechanischen Fügbarkeit in wandlungsfähigen Prozessketten' - _id: '131' name: 'TRR 285 - A: TRR 285 - Project Area A' - _id: '139' name: 'TRR 285 – A05: TRR 285 - Subproject A05' publication: Journal of Manufacturing and Materials Processing publication_identifier: issn: - 2504-4494 publication_status: published publisher: MDPI AG status: public title: Material Parameter Identification for a Stress-State-Dependent Ductile Damage and Failure Model Applied to Clinch Joining type: journal_article user_id: '84990' volume: 8 year: '2024' ... --- _id: '59237' abstract: - lang: eng text: Batch and process fluctuations during the fabrication of sheet metal components result in discrepancies in the resulting component properties, affecting subsequent process steps and potentially leading to production rejects. Consequently, the identification of deviations and knowledge of the effects of fluctuations are crucial for achieving consistently high product quality, reducing waste and thus increasing resource efficiency of production processes through countermeasures derived from this. The approach presented to address this is the use of data-driven metamodeling to map entire process chains and predict process parameters in order to compensate for process and batch fluctuation. The investigated process chain consists of the sub-processes deep drawing, clamping and clinching. For each process step, relevant input and output variables are identified, numerical simulation models are created, and subsequently validated. Variant simulations of the sub-processes are conducted and evaluated to generate a database for the metamodeling of the individual process steps. Machine learning techniques are utilized for the automated selection and optimization of learning methods to create models that depict the relationships between input and output variables. Finally, the models for the sub-processes are linked together to form a superordinate metamodel for the entire process chain, with the aim to make inline-process adaptations possible.
15th Forming Technology Forum. ; 2024.' apa: Neumann, J., Kappis, L., Lontsi, S. T.-N., Ludwig, J.-P., Ramaiya, U. B., Scharr, C., Vallaster, E., Flügge, W., Meschut, G., & Merklein, M. (2024). An approach for a metamodel-based consideration of a process chain when mechanically joining sheet metal components. 15th Forming Technology Forum. bibtex: '@inproceedings{Neumann_Kappis_Lontsi_Ludwig_Ramaiya_Scharr_Vallaster_Flügge_Meschut_Merklein_2024, title={An approach for a metamodel-based consideration of a process chain when mechanically joining sheet metal components}, booktitle={15th Forming Technology Forum}, author={Neumann, Jonas and Kappis, Lukas and Lontsi, Seraphin Tsi-Nda and Ludwig, Jean-Patrick and Ramaiya, Umang Bharatkumar and Scharr, Christian and Vallaster, Eva and Flügge, Wilko and Meschut, Gerson and Merklein, Marion}, year={2024} }' chicago: Neumann, Jonas, Lukas Kappis, Seraphin Tsi-Nda Lontsi, Jean-Patrick Ludwig, Umang Bharatkumar Ramaiya, Christian Scharr, Eva Vallaster, Wilko Flügge, Gerson Meschut, and Marion Merklein. “An Approach for a Metamodel-Based Consideration of a Process Chain When Mechanically Joining Sheet Metal Components.” In 15th Forming Technology Forum, 2024. ieee: J. Neumann et al., “An approach for a metamodel-based consideration of a process chain when mechanically joining sheet metal components,” 2024. mla: Neumann, Jonas, et al. “An Approach for a Metamodel-Based Consideration of a Process Chain When Mechanically Joining Sheet Metal Components.” 15th Forming Technology Forum, 2024. short: 'J. Neumann, L. Kappis, S.T.-N. Lontsi, J.-P. Ludwig, U.B. Ramaiya, C. Scharr, E. Vallaster, W. Flügge, G. Meschut, M. Merklein, in: 15th Forming Technology Forum, 2024.' date_created: 2025-04-02T07:03:13Z date_updated: 2025-05-13T07:23:13Z language: - iso: eng publication: 15th Forming Technology Forum status: public title: An approach for a metamodel-based consideration of a process chain when mechanically joining sheet metal components type: conference user_id: '76631' year: '2024' ... --- _id: '60047' abstract: - lang: eng text: "Abstract\r\n Purpose\r\n \ Cardiopulmonary exercise testing (CPET) is considered the gold standard for assessing cardiorespiratory fitness. To ensure consistent performance of each test, it is necessary to adapt the power increase of the test protocol to the physical characteristics of each individual. This study aimed to use machine learning models to determine individualized ramp protocols based on non-exercise features. We hypothesized that machine learning models will predict peak oxygen uptake ($$\\dot{V}$$\r\n \r\n \ V\r\n ˙\r\n \ \r\n O2peak) and peak power output (PPO) more accurately than conventional multiple linear regression (MLR).\r\n \r\n Methods\r\n \ The cross-sectional study was conducted with 274 (♀168, ♂106) participants who performed CPET on a cycle ergometer. Machine learning models and multiple linear regression were used to predict $$\\dot{V}$$\r\n \r\n \ V\r\n ˙\r\n \ \r\n O2peak and PPO using non-exercise features. The accuracy of the models was compared using criteria such as root mean square error (RMSE). Shapley additive explanation (SHAP) was applied to determine the feature importance.\r\n \r\n \ Results\r\n The most accurate machine learning model was the random forest (RMSE: 6.52 ml/kg/min [95% CI 5.21–8.17]) for $$\\dot{V}$$\r\n \r\n \ V\r\n ˙\r\n \ \r\n O2peak prediction and the gradient boosting regression (RMSE: 43watts [95% CI 35–52]) for PPO prediction. Compared to the MLR, the machine learning models reduced the RMSE by up to 28% and 22% for prediction of $$\\dot{V}$$\r\n \r\n \ V\r\n ˙\r\n \ \r\n O2peak and PPO, respectively. Furthermore, SHAP ranked body composition data such as skeletal muscle mass and extracellular water as the most impactful features.\r\n \ \r\n Conclusion\r\n \ Machine learning models predict $$\\dot{V}$$\r\n \r\n \ V\r\n ˙\r\n \ \r\n O2peak and PPO more accurately than MLR and can be used to individualize CPET protocols. Features that provide information about the participant's body composition contribute most to the improvement of these predictions.\r\n \r\n \ Trial registration number\r\n DRKS00031401 (6 March 2023, retrospectively registered).\r\n " author: - first_name: Charlotte full_name: Wenzel, Charlotte last_name: Wenzel - first_name: Thomas full_name: Liebig, Thomas last_name: Liebig - first_name: Adrian full_name: Swoboda, Adrian last_name: Swoboda - first_name: Rika full_name: Smolareck, Rika last_name: Smolareck - first_name: Marit Lea full_name: Schlagheck, Marit Lea id: '117661' last_name: Schlagheck orcid: '0000-0002-8913-6080 ' - first_name: David full_name: Walzik, David last_name: Walzik - first_name: Andreas full_name: Groll, Andreas last_name: Groll - first_name: Richie P. full_name: Goulding, Richie P. last_name: Goulding - first_name: Philipp full_name: Zimmer, Philipp last_name: Zimmer citation: ama: Wenzel C, Liebig T, Swoboda A, et al. Machine learning predicts peak oxygen uptake and peak power output for customizing cardiopulmonary exercise testing using non-exercise features. European Journal of Applied Physiology. 2024;124(11):3421-3431. doi:10.1007/s00421-024-05543-x apa: Wenzel, C., Liebig, T., Swoboda, A., Smolareck, R., Schlagheck, M. L., Walzik, D., Groll, A., Goulding, R. P., & Zimmer, P. (2024). Machine learning predicts peak oxygen uptake and peak power output for customizing cardiopulmonary exercise testing using non-exercise features. European Journal of Applied Physiology, 124(11), 3421–3431. https://doi.org/10.1007/s00421-024-05543-x bibtex: '@article{Wenzel_Liebig_Swoboda_Smolareck_Schlagheck_Walzik_Groll_Goulding_Zimmer_2024, title={Machine learning predicts peak oxygen uptake and peak power output for customizing cardiopulmonary exercise testing using non-exercise features}, volume={124}, DOI={10.1007/s00421-024-05543-x}, number={11}, journal={European Journal of Applied Physiology}, publisher={Springer Science and Business Media LLC}, author={Wenzel, Charlotte and Liebig, Thomas and Swoboda, Adrian and Smolareck, Rika and Schlagheck, Marit Lea and Walzik, David and Groll, Andreas and Goulding, Richie P. and Zimmer, Philipp}, year={2024}, pages={3421–3431} }' chicago: 'Wenzel, Charlotte, Thomas Liebig, Adrian Swoboda, Rika Smolareck, Marit Lea Schlagheck, David Walzik, Andreas Groll, Richie P. Goulding, and Philipp Zimmer. “Machine Learning Predicts Peak Oxygen Uptake and Peak Power Output for Customizing Cardiopulmonary Exercise Testing Using Non-Exercise Features.” European Journal of Applied Physiology 124, no. 11 (2024): 3421–31. https://doi.org/10.1007/s00421-024-05543-x.' ieee: 'C. Wenzel et al., “Machine learning predicts peak oxygen uptake and peak power output for customizing cardiopulmonary exercise testing using non-exercise features,” European Journal of Applied Physiology, vol. 124, no. 11, pp. 3421–3431, 2024, doi: 10.1007/s00421-024-05543-x.' mla: Wenzel, Charlotte, et al. “Machine Learning Predicts Peak Oxygen Uptake and Peak Power Output for Customizing Cardiopulmonary Exercise Testing Using Non-Exercise Features.” European Journal of Applied Physiology, vol. 124, no. 11, Springer Science and Business Media LLC, 2024, pp. 3421–31, doi:10.1007/s00421-024-05543-x. short: C. Wenzel, T. Liebig, A. Swoboda, R. Smolareck, M.L. Schlagheck, D. Walzik, A. Groll, R.P. Goulding, P. Zimmer, European Journal of Applied Physiology 124 (2024) 3421–3431. date_created: 2025-05-27T07:54:52Z date_updated: 2025-06-02T09:34:21Z doi: 10.1007/s00421-024-05543-x extern: '1' intvolume: ' 124' issue: '11' language: - iso: eng page: 3421-3431 publication: European Journal of Applied Physiology publication_identifier: issn: - 1439-6319 - 1439-6327 publication_status: published publisher: Springer Science and Business Media LLC status: public title: Machine learning predicts peak oxygen uptake and peak power output for customizing cardiopulmonary exercise testing using non-exercise features type: journal_article user_id: '117661' volume: 124 year: '2024' ... --- _id: '60176' abstract: - lang: eng text: 'AbstractAimTo investigate the associations of the Dietary Approaches to Stop Hypertension (DASH) score with subcutaneous (SAT) and visceral (VAT) adipose tissue volume and hepatic lipid content (HLC) in people with diabetes and to examine whether changes in the DASH diet were associated with changes in these outcomes.MethodsIn total, 335 participants with recent‐onset type 1 diabetes (T1D) and type 2 diabetes (T2D) from the German Diabetes Study were included in the cross‐sectional analysis, and 111 participants in the analysis of changes during the 5‐year follow‐up. Associations between the DASH score and VAT, SAT and HLC and their changes were investigated using multivariable linear regression models by diabetes type. The proportion mediated by changes in potential mediators was determined using mediation analysis.ResultsA higher baseline DASH score was associated with lower HLC, especially in people with T2D (per 5 points: −1.5% [−2.7%; −0.3%]). Over 5 years, a 5‐point increase in the DASH score was associated with decreased VAT in people with T2D (−514 [−800; −228] cm3). Similar, but imprecise, associations were observed for VAT changes in people with T1D (−403 [−861; 55] cm3) and for HLC in people with T2D (−1.3% [−2.8%; 0.3%]). Body mass index and waist circumference changes explained 8%‐48% of the associations between DASH and VAT changes in both groups. In people with T2D, adipose tissue insulin resistance index (Adipo‐IR) changes explained 47% of the association between DASH and HLC changes.ConclusionsA shift to a DASH‐like diet was associated with favourable VAT and HLC changes, which were partly explained by changes in anthropometric measures and Adipo‐IR.' author: - first_name: Edyta full_name: Schaefer, Edyta last_name: Schaefer - first_name: Alexander full_name: Lang, Alexander last_name: Lang - first_name: Yuliya full_name: Kupriyanova, Yuliya last_name: Kupriyanova - first_name: Kálmán B. full_name: Bódis, Kálmán B. last_name: Bódis - first_name: Katharina S. full_name: Weber, Katharina S. last_name: Weber - first_name: Anette full_name: Buyken, Anette id: '65985' last_name: Buyken - first_name: Janett full_name: Barbaresko, Janett last_name: Barbaresko - first_name: Theresa full_name: Kössler, Theresa last_name: Kössler - first_name: Sabine full_name: Kahl, Sabine last_name: Kahl - first_name: Oana‐Patricia full_name: Zaharia, Oana‐Patricia last_name: Zaharia - first_name: Julia full_name: Szendroedi, Julia last_name: Szendroedi - first_name: Christian full_name: Herder, Christian last_name: Herder - first_name: Vera B. full_name: Schrauwen‐Hinderling, Vera B. last_name: Schrauwen‐Hinderling - first_name: Robert full_name: Wagner, Robert last_name: Wagner - first_name: Oliver full_name: Kuss, Oliver last_name: Kuss - first_name: Michael full_name: Roden, Michael last_name: Roden - first_name: Sabrina full_name: Schlesinger, Sabrina last_name: Schlesinger citation: ama: Schaefer E, Lang A, Kupriyanova Y, et al. Adherence to the Dietary Approaches to Stop Hypertension (DASH) diet is associated with lower visceral and hepatic lipid content in recent‐onset type 1 diabetes and type 2 diabetes. Diabetes, Obesity and Metabolism. 2024;26(10):4281-4292. doi:10.1111/dom.15772 apa: Schaefer, E., Lang, A., Kupriyanova, Y., Bódis, K. B., Weber, K. S., Buyken, A., Barbaresko, J., Kössler, T., Kahl, S., Zaharia, O., Szendroedi, J., Herder, C., Schrauwen‐Hinderling, V. B., Wagner, R., Kuss, O., Roden, M., & Schlesinger, S. (2024). Adherence to the Dietary Approaches to Stop Hypertension (DASH) diet is associated with lower visceral and hepatic lipid content in recent‐onset type 1 diabetes and type 2 diabetes. Diabetes, Obesity and Metabolism, 26(10), 4281–4292. https://doi.org/10.1111/dom.15772 bibtex: '@article{Schaefer_Lang_Kupriyanova_Bódis_Weber_Buyken_Barbaresko_Kössler_Kahl_Zaharia_et al._2024, title={Adherence to the Dietary Approaches to Stop Hypertension (DASH) diet is associated with lower visceral and hepatic lipid content in recent‐onset type 1 diabetes and type 2 diabetes}, volume={26}, DOI={10.1111/dom.15772}, number={10}, journal={Diabetes, Obesity and Metabolism}, publisher={Wiley}, author={Schaefer, Edyta and Lang, Alexander and Kupriyanova, Yuliya and Bódis, Kálmán B. and Weber, Katharina S. and Buyken, Anette and Barbaresko, Janett and Kössler, Theresa and Kahl, Sabine and Zaharia, Oana‐Patricia and et al.}, year={2024}, pages={4281–4292} }' chicago: 'Schaefer, Edyta, Alexander Lang, Yuliya Kupriyanova, Kálmán B. Bódis, Katharina S. Weber, Anette Buyken, Janett Barbaresko, et al. “Adherence to the Dietary Approaches to Stop Hypertension (DASH) Diet Is Associated with Lower Visceral and Hepatic Lipid Content in Recent‐onset Type 1 Diabetes and Type 2 Diabetes.” Diabetes, Obesity and Metabolism 26, no. 10 (2024): 4281–92. https://doi.org/10.1111/dom.15772.' ieee: 'E. Schaefer et al., “Adherence to the Dietary Approaches to Stop Hypertension (DASH) diet is associated with lower visceral and hepatic lipid content in recent‐onset type 1 diabetes and type 2 diabetes,” Diabetes, Obesity and Metabolism, vol. 26, no. 10, pp. 4281–4292, 2024, doi: 10.1111/dom.15772.' mla: Schaefer, Edyta, et al. “Adherence to the Dietary Approaches to Stop Hypertension (DASH) Diet Is Associated with Lower Visceral and Hepatic Lipid Content in Recent‐onset Type 1 Diabetes and Type 2 Diabetes.” Diabetes, Obesity and Metabolism, vol. 26, no. 10, Wiley, 2024, pp. 4281–92, doi:10.1111/dom.15772. short: E. Schaefer, A. Lang, Y. Kupriyanova, K.B. Bódis, K.S. Weber, A. Buyken, J. Barbaresko, T. Kössler, S. Kahl, O. Zaharia, J. Szendroedi, C. Herder, V.B. Schrauwen‐Hinderling, R. Wagner, O. Kuss, M. Roden, S. Schlesinger, Diabetes, Obesity and Metabolism 26 (2024) 4281–4292. date_created: 2025-06-11T08:39:22Z date_updated: 2025-06-11T08:42:19Z department: - _id: '22' doi: 10.1111/dom.15772 intvolume: ' 26' issue: '10' language: - iso: eng page: 4281-4292 publication: Diabetes, Obesity and Metabolism publication_identifier: issn: - 1462-8902 - 1463-1326 publication_status: published publisher: Wiley status: public title: Adherence to the Dietary Approaches to Stop Hypertension (DASH) diet is associated with lower visceral and hepatic lipid content in recent‐onset type 1 diabetes and type 2 diabetes type: journal_article user_id: '92491' volume: 26 year: '2024' ... --- _id: '64104' author: - first_name: Christian full_name: Scheideler, Christian id: '20792' last_name: Scheideler - first_name: 'Kristian ' full_name: 'Hinnenthal , Kristian ' last_name: 'Hinnenthal ' - first_name: David Jan full_name: Liedtke, David Jan id: '55557' last_name: Liedtke citation: ama: 'Scheideler C, Hinnenthal K, Liedtke DJ. Efficient Shape Formation by 3D Hybrid Programmable Matter: An Algorithm for Low Diameter Intermediate Structures. SAND 2024: 15:1-15:20. In: ; 2024.' apa: 'Scheideler, C., Hinnenthal , K., & Liedtke, D. J. (2024). Efficient Shape Formation by 3D Hybrid Programmable Matter: An Algorithm for Low Diameter Intermediate Structures. SAND 2024: 15:1-15:20.' bibtex: '@inproceedings{Scheideler_Hinnenthal _Liedtke_2024, place={CoRR abs/2401.17734 (2024)}, title={Efficient Shape Formation by 3D Hybrid Programmable Matter: An Algorithm for Low Diameter Intermediate Structures. SAND 2024: 15:1-15:20}, author={Scheideler, Christian and Hinnenthal , Kristian and Liedtke, David Jan}, year={2024} }' chicago: 'Scheideler, Christian, Kristian Hinnenthal , and David Jan Liedtke. “Efficient Shape Formation by 3D Hybrid Programmable Matter: An Algorithm for Low Diameter Intermediate Structures. SAND 2024: 15:1-15:20.” CoRR abs/2401.17734 (2024), 2024.' ieee: 'C. Scheideler, K. Hinnenthal , and D. J. Liedtke, “Efficient Shape Formation by 3D Hybrid Programmable Matter: An Algorithm for Low Diameter Intermediate Structures. SAND 2024: 15:1-15:20,” 2024.' mla: 'Scheideler, Christian, et al. Efficient Shape Formation by 3D Hybrid Programmable Matter: An Algorithm for Low Diameter Intermediate Structures. SAND 2024: 15:1-15:20. 2024.' short: 'C. Scheideler, K. Hinnenthal , D.J. Liedtke, in: CoRR abs/2401.17734 (2024), 2024.' date_created: 2026-02-10T10:12:18Z date_updated: 2026-02-11T09:12:05Z department: - _id: '34' - _id: '7' - _id: '79' language: - iso: eng place: CoRR abs/2401.17734 (2024) status: public title: 'Efficient Shape Formation by 3D Hybrid Programmable Matter: An Algorithm for Low Diameter Intermediate Structures. SAND 2024: 15:1-15:20' type: conference user_id: '15578' year: '2024' ... --- _id: '64106' author: - first_name: Christian full_name: Scheideler, Christian id: '20792' last_name: Scheideler - first_name: 'Irina ' full_name: 'Kostitsyna, Irina ' last_name: Kostitsyna - first_name: David Jan full_name: Liedtke, David Jan id: '55557' last_name: Liedtke citation: ama: 'Scheideler C, Kostitsyna I, Liedtke DJ. Universal Coating by 3D Hybrid Programmable Matter. In: ; 2024.' apa: Scheideler, C., Kostitsyna, I., & Liedtke, D. J. (2024). Universal Coating by 3D Hybrid Programmable Matter. bibtex: '@inproceedings{Scheideler_Kostitsyna_Liedtke_2024, place={SIROCCO 2024: 384-401}, title={Universal Coating by 3D Hybrid Programmable Matter.}, author={Scheideler, Christian and Kostitsyna, Irina and Liedtke, David Jan}, year={2024} }' chicago: 'Scheideler, Christian, Irina Kostitsyna, and David Jan Liedtke. “Universal Coating by 3D Hybrid Programmable Matter.” SIROCCO 2024: 384-401, 2024.' ieee: C. Scheideler, I. Kostitsyna, and D. J. Liedtke, “Universal Coating by 3D Hybrid Programmable Matter.,” 2024. mla: Scheideler, Christian, et al. Universal Coating by 3D Hybrid Programmable Matter. 2024. short: 'C. Scheideler, I. Kostitsyna, D.J. Liedtke, in: SIROCCO 2024: 384-401, 2024.' date_created: 2026-02-10T10:21:39Z date_updated: 2026-02-11T09:12:11Z department: - _id: '34' - _id: '7' - _id: '79' language: - iso: eng place: 'SIROCCO 2024: 384-401' status: public title: Universal Coating by 3D Hybrid Programmable Matter. type: conference user_id: '15578' year: '2024' ... --- _id: '64002' abstract: - lang: eng text: The production of formaldehyde on industrial scale requires huge amounts of energy due to the involvement of reforming processes in combination with the demand in the megaton scale. Hence, a direct route for the transformation of (bio)methane to formaldehyde would decrease costs and puts less pressure on the environment. Herein, we report on the use of zinc modified silicas as possible support materials for vanadium catalysts and the resulting consequences for the performance in the selective oxidation of methane to formaldehyde. After optimization of the Zn content and reaction conditions, a remarkably high space-time yield of 12.4 kgCH2O·kgcat−1·h−1 was achieved. As a result of the extensive characterization by means of UV–vis, Raman, XANES and NMR spectroscopy it was found that vanadium is in the vicinity of highly dispersed zinc atoms which promote the formation of active vanadium species as supposed by theoretical calculations. This work presents a further step of catalyst development towards direct industrial methane conversion which may help to overcome current limitations in the future. author: - first_name: Benny full_name: Kunkel, Benny last_name: Kunkel - first_name: Dominik full_name: Seeburg, Dominik last_name: Seeburg - first_name: Anke full_name: Kabelitz, Anke last_name: Kabelitz - first_name: Steffen full_name: Witte, Steffen last_name: Witte - first_name: Torsten full_name: Gutmann, Torsten id: '118165' last_name: Gutmann - first_name: Hergen full_name: Breitzke, Hergen last_name: Breitzke - first_name: Gerd full_name: Buntkowsky, Gerd last_name: Buntkowsky - first_name: Ana Guilherme full_name: Buzanich, Ana Guilherme last_name: Buzanich - first_name: Sebastian full_name: Wohlrab, Sebastian last_name: Wohlrab citation: ama: Kunkel B, Seeburg D, Kabelitz A, et al. Highly productive V/Zn-SiO2 catalysts for the selective oxidation of methane. Catalysis Today. 2024;432:114643. doi:10.1016/j.cattod.2024.114643 apa: Kunkel, B., Seeburg, D., Kabelitz, A., Witte, S., Gutmann, T., Breitzke, H., Buntkowsky, G., Buzanich, A. G., & Wohlrab, S. (2024). Highly productive V/Zn-SiO2 catalysts for the selective oxidation of methane. Catalysis Today, 432, 114643. https://doi.org/10.1016/j.cattod.2024.114643 bibtex: '@article{Kunkel_Seeburg_Kabelitz_Witte_Gutmann_Breitzke_Buntkowsky_Buzanich_Wohlrab_2024, title={Highly productive V/Zn-SiO2 catalysts for the selective oxidation of methane}, volume={432}, DOI={10.1016/j.cattod.2024.114643}, journal={Catalysis Today}, author={Kunkel, Benny and Seeburg, Dominik and Kabelitz, Anke and Witte, Steffen and Gutmann, Torsten and Breitzke, Hergen and Buntkowsky, Gerd and Buzanich, Ana Guilherme and Wohlrab, Sebastian}, year={2024}, pages={114643} }' chicago: 'Kunkel, Benny, Dominik Seeburg, Anke Kabelitz, Steffen Witte, Torsten Gutmann, Hergen Breitzke, Gerd Buntkowsky, Ana Guilherme Buzanich, and Sebastian Wohlrab. “Highly Productive V/Zn-SiO2 Catalysts for the Selective Oxidation of Methane.” Catalysis Today 432 (2024): 114643. https://doi.org/10.1016/j.cattod.2024.114643.' ieee: 'B. Kunkel et al., “Highly productive V/Zn-SiO2 catalysts for the selective oxidation of methane,” Catalysis Today, vol. 432, p. 114643, 2024, doi: 10.1016/j.cattod.2024.114643.' mla: Kunkel, Benny, et al. “Highly Productive V/Zn-SiO2 Catalysts for the Selective Oxidation of Methane.” Catalysis Today, vol. 432, 2024, p. 114643, doi:10.1016/j.cattod.2024.114643. short: B. Kunkel, D. Seeburg, A. Kabelitz, S. Witte, T. Gutmann, H. Breitzke, G. Buntkowsky, A.G. Buzanich, S. Wohlrab, Catalysis Today 432 (2024) 114643. date_created: 2026-02-07T15:53:56Z date_updated: 2026-02-17T16:15:41Z doi: 10.1016/j.cattod.2024.114643 extern: '1' intvolume: ' 432' keyword: - Formaldehyde - Local coordination - SBA-15 - Vanadium oxo species - XANES - Zinc doped silica language: - iso: eng page: '114643' publication: Catalysis Today status: public title: Highly productive V/Zn-SiO2 catalysts for the selective oxidation of methane type: journal_article user_id: '100715' volume: 432 year: '2024' ... --- _id: '58223' abstract: - lang: eng text: The Shapley value (SV) is a prevalent approach of allocating credit to machine learning (ML) entities to understand black box ML models. Enriching such interpretations with higher-order interactions is inevitable for complex systems, where the Shapley Interaction Index (SII) is a direct axiomatic extension of the SV. While it is well-known that the SV yields an optimal approximation of any game via a weighted least square (WLS) objective, an extension of this result to SII has been a long-standing open problem, which even led to the proposal of an alternative index. In this work, we characterize higher-order SII as a solution to a WLS problem, which constructs an optimal approximation via SII and k-Shapley values (k-SII). We prove this representation for the SV and pairwise SII and give empirically validated conjectures for higher orders. As a result, we propose KernelSHAP-IQ, a direct extension of KernelSHAP for SII, and demonstrate state-of-the-art performance for feature interactions. author: - first_name: Fabian full_name: Fumagalli, Fabian last_name: Fumagalli - first_name: Maximilian full_name: Muschalik, Maximilian last_name: Muschalik - first_name: Patrick full_name: Kolpaczki, Patrick last_name: Kolpaczki - first_name: Eyke full_name: Hüllermeier, Eyke last_name: Hüllermeier - first_name: Barbara full_name: Hammer, Barbara last_name: Hammer citation: ama: 'Fumagalli F, Muschalik M, Kolpaczki P, Hüllermeier E, Hammer B. KernelSHAP-IQ: Weighted Least Square Optimization for Shapley Interactions. In: Proceedings of the 41st International Conference on Machine Learning (ICML). Vol 235. Proceedings of Machine Learning Research. PMLR; 2024:14308–14342.' apa: 'Fumagalli, F., Muschalik, M., Kolpaczki, P., Hüllermeier, E., & Hammer, B. (2024). KernelSHAP-IQ: Weighted Least Square Optimization for Shapley Interactions. Proceedings of the 41st International Conference on Machine Learning (ICML), 235, 14308–14342.' bibtex: '@inproceedings{Fumagalli_Muschalik_Kolpaczki_Hüllermeier_Hammer_2024, series={Proceedings of Machine Learning Research}, title={KernelSHAP-IQ: Weighted Least Square Optimization for Shapley Interactions}, volume={235}, booktitle={Proceedings of the 41st International Conference on Machine Learning (ICML)}, publisher={PMLR}, author={Fumagalli, Fabian and Muschalik, Maximilian and Kolpaczki, Patrick and Hüllermeier, Eyke and Hammer, Barbara}, year={2024}, pages={14308–14342}, collection={Proceedings of Machine Learning Research} }' chicago: 'Fumagalli, Fabian, Maximilian Muschalik, Patrick Kolpaczki, Eyke Hüllermeier, and Barbara Hammer. “KernelSHAP-IQ: Weighted Least Square Optimization for Shapley Interactions.” In Proceedings of the 41st International Conference on Machine Learning (ICML), 235:14308–14342. Proceedings of Machine Learning Research. PMLR, 2024.' ieee: 'F. Fumagalli, M. Muschalik, P. Kolpaczki, E. Hüllermeier, and B. Hammer, “KernelSHAP-IQ: Weighted Least Square Optimization for Shapley Interactions,” in Proceedings of the 41st International Conference on Machine Learning (ICML), 2024, vol. 235, pp. 14308–14342.' mla: 'Fumagalli, Fabian, et al. “KernelSHAP-IQ: Weighted Least Square Optimization for Shapley Interactions.” Proceedings of the 41st International Conference on Machine Learning (ICML), vol. 235, PMLR, 2024, pp. 14308–14342.' short: 'F. Fumagalli, M. Muschalik, P. Kolpaczki, E. Hüllermeier, B. Hammer, in: Proceedings of the 41st International Conference on Machine Learning (ICML), PMLR, 2024, pp. 14308–14342.' date_created: 2025-01-16T16:12:16Z date_updated: 2025-09-11T16:27:05Z department: - _id: '660' intvolume: ' 235' language: - iso: eng page: 14308–14342 project: - _id: '109' name: 'TRR 318: TRR 318 - Erklärbarkeit konstruieren' - _id: '117' name: 'TRR 318 - C: TRR 318 - Project Area C' - _id: '126' name: 'TRR 318 - C3: TRR 318 - Subproject C3' publication: Proceedings of the 41st International Conference on Machine Learning (ICML) publisher: PMLR series_title: Proceedings of Machine Learning Research status: public title: 'KernelSHAP-IQ: Weighted Least Square Optimization for Shapley Interactions' type: conference user_id: '93420' volume: 235 year: '2024' ... --- _id: '61834' abstract: - lang: eng text: Abstract3D printing or additive manufacturing (AM) possesses enormous potential to benefit the manufacturing industry. Presently, rotary draw bending (RDB) is one of the most commonly used cold-forming industrial process for bending metal tubes. Pressure die is a fundamental forming tool in RDB processes, and it is conventionally made by various grades of comparatively expensive alloy steels. This research presents a novel design of a pressure die which can be 3D printed by using inexpensive polymeric filaments. In this research paper, the 3D-printed pressure die is named as “FFF-pressure die.” The material used to fabricate the FFF-pressure die is a thermoplastic polymer known as “ecoPLA.” The mechanical properties of ecoPLA are studied in relation to the process conditions of a RDB process. Firstly, an initial feasibility of using the FFF-pressure die in a RDB process is obtained by conducting a quick static stress analysis with actual process conditions. After initial feasibility, a complete RDB process is developed and simulated with actual process conditions and material properties. The FFF-pressure die is then practically fabricated by FFF 3D printer and experimentally tested on an industrial RDB machine. The results of practical experiments are compared with the simulation results. In order to make a comparison of the FFF-pressure die with the conventional metal pressure die, the simulation and practical process is also conducted with the conventional metal pressure die. A performance and cost comparison is made between the polymeric FFF-pressure die and the conventional metal pressure die. Von Mises stresses, contact forces, failure risk, and elastic deformations are analyzed. The advantages and limitations of using the FFF-pressure die in a RDB process are discussed in the end. This research intends to widen the avenue of using cost-effective and lightweight forming tools in metal forming industries. author: - first_name: Muhammad Ali full_name: Kaleem, Muhammad Ali last_name: Kaleem - first_name: Rainer full_name: Steinheimer, Rainer last_name: Steinheimer - first_name: Peter full_name: Frohn-Sörensen, Peter last_name: Frohn-Sörensen - first_name: Steffen full_name: Gabsa, Steffen id: '106786' last_name: Gabsa - first_name: Bernd full_name: Engel, Bernd last_name: Engel citation: ama: Kaleem MA, Steinheimer R, Frohn-Sörensen P, Gabsa S, Engel B. Additive manufacturing of polymeric pressure die for rotary draw bending process. The International Journal of Advanced Manufacturing Technology. 2024;134(3-4):1789-1804. doi:10.1007/s00170-024-14221-3 apa: Kaleem, M. A., Steinheimer, R., Frohn-Sörensen, P., Gabsa, S., & Engel, B. (2024). Additive manufacturing of polymeric pressure die for rotary draw bending process. The International Journal of Advanced Manufacturing Technology, 134(3–4), 1789–1804. https://doi.org/10.1007/s00170-024-14221-3 bibtex: '@article{Kaleem_Steinheimer_Frohn-Sörensen_Gabsa_Engel_2024, title={Additive manufacturing of polymeric pressure die for rotary draw bending process}, volume={134}, DOI={10.1007/s00170-024-14221-3}, number={3–4}, journal={The International Journal of Advanced Manufacturing Technology}, publisher={Springer Science and Business Media LLC}, author={Kaleem, Muhammad Ali and Steinheimer, Rainer and Frohn-Sörensen, Peter and Gabsa, Steffen and Engel, Bernd}, year={2024}, pages={1789–1804} }' chicago: 'Kaleem, Muhammad Ali, Rainer Steinheimer, Peter Frohn-Sörensen, Steffen Gabsa, and Bernd Engel. “Additive Manufacturing of Polymeric Pressure Die for Rotary Draw Bending Process.” The International Journal of Advanced Manufacturing Technology 134, no. 3–4 (2024): 1789–1804. https://doi.org/10.1007/s00170-024-14221-3.' ieee: 'M. A. Kaleem, R. Steinheimer, P. Frohn-Sörensen, S. Gabsa, and B. Engel, “Additive manufacturing of polymeric pressure die for rotary draw bending process,” The International Journal of Advanced Manufacturing Technology, vol. 134, no. 3–4, pp. 1789–1804, 2024, doi: 10.1007/s00170-024-14221-3.' mla: Kaleem, Muhammad Ali, et al. “Additive Manufacturing of Polymeric Pressure Die for Rotary Draw Bending Process.” The International Journal of Advanced Manufacturing Technology, vol. 134, no. 3–4, Springer Science and Business Media LLC, 2024, pp. 1789–804, doi:10.1007/s00170-024-14221-3. short: M.A. Kaleem, R. Steinheimer, P. Frohn-Sörensen, S. Gabsa, B. Engel, The International Journal of Advanced Manufacturing Technology 134 (2024) 1789–1804. date_created: 2025-10-15T09:02:15Z date_updated: 2025-10-15T13:08:16Z doi: 10.1007/s00170-024-14221-3 intvolume: ' 134' issue: 3-4 language: - iso: eng page: 1789-1804 publication: The International Journal of Advanced Manufacturing Technology publication_identifier: issn: - 0268-3768 - 1433-3015 publication_status: published publisher: Springer Science and Business Media LLC status: public title: Additive manufacturing of polymeric pressure die for rotary draw bending process type: journal_article user_id: '106786' volume: 134 year: '2024' ...