[{"type":"journal_article","status":"public","_id":"30228","department":[{"_id":"150"},{"_id":"624"},{"_id":"219"}],"user_id":"464","article_type":"original","publication_status":"published","page":"1149–1157","intvolume":"        74","citation":{"ama":"Klippstein SH, Heiny F, Pashikanti, N, Gessler M, Schmid H-J. Powder Spread Process Monitoring in Polymer Laser Sintering and its Influences on Part Properties. <i>JOM - The Journal of The Minerals, Metals &#38; Materials Society (TMS)</i>. 2022;74:1149–1157. doi:<a href=\"https://doi.org/10.1007/s11837-021-05042-w \">https://doi.org/10.1007/s11837-021-05042-w </a>","chicago":"Klippstein, Sven Helge, Florian Heiny, Nagaraju Pashikanti, Monika Gessler, and Hans-Joachim Schmid. “Powder Spread Process Monitoring in Polymer Laser Sintering and Its Influences on Part Properties.” <i>JOM - The Journal of The Minerals, Metals &#38; Materials Society (TMS)</i> 74 (2022): 1149–1157. <a href=\"https://doi.org/10.1007/s11837-021-05042-w \">https://doi.org/10.1007/s11837-021-05042-w </a>.","ieee":"S. H. Klippstein, F. Heiny, N. Pashikanti, M. Gessler, and H.-J. Schmid, “Powder Spread Process Monitoring in Polymer Laser Sintering and its Influences on Part Properties,” <i>JOM - The Journal of The Minerals, Metals &#38; Materials Society (TMS)</i>, vol. 74, pp. 1149–1157, 2022, doi: <a href=\"https://doi.org/10.1007/s11837-021-05042-w \">https://doi.org/10.1007/s11837-021-05042-w </a>.","bibtex":"@article{Klippstein_Heiny_Pashikanti,_Gessler_Schmid_2022, title={Powder Spread Process Monitoring in Polymer Laser Sintering and its Influences on Part Properties}, volume={74}, DOI={<a href=\"https://doi.org/10.1007/s11837-021-05042-w \">https://doi.org/10.1007/s11837-021-05042-w </a>}, journal={JOM - The Journal of The Minerals, Metals &#38; Materials Society (TMS)}, publisher={Springer}, author={Klippstein, Sven Helge and Heiny, Florian and Pashikanti, Nagaraju and Gessler, Monika and Schmid, Hans-Joachim}, year={2022}, pages={1149–1157} }","short":"S.H. Klippstein, F. Heiny, N. Pashikanti, M. Gessler, H.-J. Schmid, JOM - The Journal of The Minerals, Metals &#38; Materials Society (TMS) 74 (2022) 1149–1157.","mla":"Klippstein, Sven Helge, et al. “Powder Spread Process Monitoring in Polymer Laser Sintering and Its Influences on Part Properties.” <i>JOM - The Journal of The Minerals, Metals &#38; Materials Society (TMS)</i>, vol. 74, Springer, 2022, pp. 1149–1157, doi:<a href=\"https://doi.org/10.1007/s11837-021-05042-w \">https://doi.org/10.1007/s11837-021-05042-w </a>.","apa":"Klippstein, S. H., Heiny, F., Pashikanti, N., Gessler, M., &#38; Schmid, H.-J. (2022). Powder Spread Process Monitoring in Polymer Laser Sintering and its Influences on Part Properties. <i>JOM - The Journal of The Minerals, Metals &#38; Materials Society (TMS)</i>, <i>74</i>, 1149–1157. <a href=\"https://doi.org/10.1007/s11837-021-05042-w \">https://doi.org/10.1007/s11837-021-05042-w </a>"},"date_updated":"2023-05-04T08:32:55Z","volume":74,"author":[{"last_name":"Klippstein","id":"71545","full_name":"Klippstein, Sven Helge","first_name":"Sven Helge"},{"first_name":"Florian","id":"14053","full_name":"Heiny, Florian","last_name":"Heiny"},{"last_name":"Pashikanti,","full_name":"Pashikanti,, Nagaraju","first_name":"Nagaraju"},{"first_name":"Monika","full_name":"Gessler, Monika","last_name":"Gessler"},{"first_name":"Hans-Joachim","id":"464","full_name":"Schmid, Hans-Joachim","orcid":"000-0001-8590-1921","last_name":"Schmid"}],"doi":"https://doi.org/10.1007/s11837-021-05042-w ","conference":{"name":"Solid Freeform Fabrication 2021","start_date":"02.08.2021","end_date":"04.08.2021","location":"Online"},"publication":"JOM - The Journal of The Minerals, Metals & Materials Society (TMS)","abstract":[{"text":"Confidence in additive manufacturing technologies is directly related to the predictability of part properties, which is influenced by several factors. To gain confidence, online process monitoring with dedicated and reliable feedback is desirable for every process. In this project, a powder bed monitoring system was developed as a retrofit solution for the EOS P3 laser sintering machines. A high-resolution camera records each layer, which is analyzed by a Region-Based Convolutional Neural Network (Mask R-CNN). Over 2500 images were annotated and classified to train the network in detecting defects in the powder bed at a very high level. Each defect is checked for intersection with exposure areas. To distinguish between acceptable imperfections and critical defects that lead to part rejection, the impact of these imperfections on part properties is investigated.","lang":"eng"}],"language":[{"iso":"eng"}],"quality_controlled":"1","year":"2022","publisher":"Springer","date_created":"2022-03-10T12:35:18Z","title":"Powder Spread Process Monitoring in Polymer Laser Sintering and its Influences on Part Properties"},{"user_id":"53103","department":[{"_id":"28"},{"_id":"66"},{"_id":"534"}],"_id":"13140","language":[{"iso":"eng"}],"type":"conference","publication":"Proceedings of the 12th International Conference on Graph Transformation, ICGT 2019, Held as Part of STAF 2019","status":"public","editor":[{"full_name":"Guerra, Esther","last_name":"Guerra","first_name":"Esther"},{"first_name":"Fernando","last_name":"Orejas","full_name":"Orejas, Fernando"}],"author":[{"full_name":"Weidmann, Nils","id":"53103","last_name":"Weidmann","first_name":"Nils"},{"full_name":"Anjorin, Anthony","last_name":"Anjorin","first_name":"Anthony"},{"first_name":"Florian","full_name":"Stolte, Florian","last_name":"Stolte"},{"first_name":"Florian","id":"14053","full_name":"Kraus, Florian","last_name":"Kraus"}],"date_created":"2019-09-05T13:36:07Z","date_updated":"2022-01-06T06:51:29Z","publisher":"Springer","conference":{"start_date":"2019-07-15","name":"12th International Conference on Graph Transformation, ICGT 2019, Held as Part of STAF 2019","location":"Eindhoven, The Netherlands","end_date":"2019-07-16"},"doi":"10.1007/978-3-030-23611-3\\_12","title":"From Pattern Invocation Networks to Rule Preconditions","citation":{"ama":"Weidmann N, Anjorin A, Stolte F, Kraus F. From Pattern Invocation Networks to Rule Preconditions. In: Guerra E, Orejas F, eds. <i>Proceedings of the 12th International Conference on Graph Transformation, ICGT 2019, Held as Part of STAF 2019</i>. Springer; 2019:195-211. doi:<a href=\"https://doi.org/10.1007/978-3-030-23611-3\\_12\">10.1007/978-3-030-23611-3\\_12</a>","ieee":"N. Weidmann, A. Anjorin, F. Stolte, and F. Kraus, “From Pattern Invocation Networks to Rule Preconditions,” in <i>Proceedings of the 12th International Conference on Graph Transformation, ICGT 2019, Held as Part of STAF 2019</i>, Eindhoven, The Netherlands, 2019, pp. 195–211.","chicago":"Weidmann, Nils, Anthony Anjorin, Florian Stolte, and Florian Kraus. “From Pattern Invocation Networks to Rule Preconditions.” In <i>Proceedings of the 12th International Conference on Graph Transformation, ICGT 2019, Held as Part of STAF 2019</i>, edited by Esther Guerra and Fernando Orejas, 195–211. Springer, 2019. <a href=\"https://doi.org/10.1007/978-3-030-23611-3\\_12\">https://doi.org/10.1007/978-3-030-23611-3\\_12</a>.","apa":"Weidmann, N., Anjorin, A., Stolte, F., &#38; Kraus, F. (2019). From Pattern Invocation Networks to Rule Preconditions. In E. Guerra &#38; F. Orejas (Eds.), <i>Proceedings of the 12th International Conference on Graph Transformation, ICGT 2019, Held as Part of STAF 2019</i> (pp. 195–211). Eindhoven, The Netherlands: Springer. <a href=\"https://doi.org/10.1007/978-3-030-23611-3\\_12\">https://doi.org/10.1007/978-3-030-23611-3\\_12</a>","bibtex":"@inproceedings{Weidmann_Anjorin_Stolte_Kraus_2019, title={From Pattern Invocation Networks to Rule Preconditions}, DOI={<a href=\"https://doi.org/10.1007/978-3-030-23611-3\\_12\">10.1007/978-3-030-23611-3\\_12</a>}, booktitle={Proceedings of the 12th International Conference on Graph Transformation, ICGT 2019, Held as Part of STAF 2019}, publisher={Springer}, author={Weidmann, Nils and Anjorin, Anthony and Stolte, Florian and Kraus, Florian}, editor={Guerra, Esther and Orejas, FernandoEditors}, year={2019}, pages={195–211} }","mla":"Weidmann, Nils, et al. “From Pattern Invocation Networks to Rule Preconditions.” <i>Proceedings of the 12th International Conference on Graph Transformation, ICGT 2019, Held as Part of STAF 2019</i>, edited by Esther Guerra and Fernando Orejas, Springer, 2019, pp. 195–211, doi:<a href=\"https://doi.org/10.1007/978-3-030-23611-3\\_12\">10.1007/978-3-030-23611-3\\_12</a>.","short":"N. Weidmann, A. Anjorin, F. Stolte, F. Kraus, in: E. Guerra, F. Orejas (Eds.), Proceedings of the 12th International Conference on Graph Transformation, ICGT 2019, Held as Part of STAF 2019, Springer, 2019, pp. 195–211."},"page":"195-211","year":"2019"},{"status":"public","type":"conference","publication":"2015 International Conference on ReConFigurable Computing and FPGAs (ReConFig)","language":[{"iso":"eng"}],"extern":"1","user_id":"14053","department":[{"_id":"78"}],"_id":"5812","citation":{"ama":"Boschmann A, Agne A, Witschen L, Thombansen G, Kraus F, Platzner M. FPGA-based acceleration of high density myoelectric signal processing. In: <i>2015 International Conference on ReConFigurable Computing and FPGAs (ReConFig)</i>. IEEE; 2016. doi:<a href=\"https://doi.org/10.1109/reconfig.2015.7393312\">10.1109/reconfig.2015.7393312</a>","chicago":"Boschmann, Alexander, Andreas Agne, Linus Witschen, Georg Thombansen, Florian Kraus, and Marco Platzner. “FPGA-Based Acceleration of High Density Myoelectric Signal Processing.” In <i>2015 International Conference on ReConFigurable Computing and FPGAs (ReConFig)</i>. IEEE, 2016. <a href=\"https://doi.org/10.1109/reconfig.2015.7393312\">https://doi.org/10.1109/reconfig.2015.7393312</a>.","ieee":"A. Boschmann, A. Agne, L. Witschen, G. Thombansen, F. Kraus, and M. Platzner, “FPGA-based acceleration of high density myoelectric signal processing,” in <i>2015 International Conference on ReConFigurable Computing and FPGAs (ReConFig)</i>, 2016.","bibtex":"@inproceedings{Boschmann_Agne_Witschen_Thombansen_Kraus_Platzner_2016, title={FPGA-based acceleration of high density myoelectric signal processing}, DOI={<a href=\"https://doi.org/10.1109/reconfig.2015.7393312\">10.1109/reconfig.2015.7393312</a>}, booktitle={2015 International Conference on ReConFigurable Computing and FPGAs (ReConFig)}, publisher={IEEE}, author={Boschmann, Alexander and Agne, Andreas and Witschen, Linus and Thombansen, Georg and Kraus, Florian and Platzner, Marco}, year={2016} }","short":"A. Boschmann, A. Agne, L. Witschen, G. Thombansen, F. Kraus, M. Platzner, in: 2015 International Conference on ReConFigurable Computing and FPGAs (ReConFig), IEEE, 2016.","mla":"Boschmann, Alexander, et al. “FPGA-Based Acceleration of High Density Myoelectric Signal Processing.” <i>2015 International Conference on ReConFigurable Computing and FPGAs (ReConFig)</i>, IEEE, 2016, doi:<a href=\"https://doi.org/10.1109/reconfig.2015.7393312\">10.1109/reconfig.2015.7393312</a>.","apa":"Boschmann, A., Agne, A., Witschen, L., Thombansen, G., Kraus, F., &#38; Platzner, M. (2016). FPGA-based acceleration of high density myoelectric signal processing. In <i>2015 International Conference on ReConFigurable Computing and FPGAs (ReConFig)</i>. IEEE. <a href=\"https://doi.org/10.1109/reconfig.2015.7393312\">https://doi.org/10.1109/reconfig.2015.7393312</a>"},"year":"2016","publication_status":"published","publication_identifier":{"isbn":["9781467394062"]},"doi":"10.1109/reconfig.2015.7393312","title":"FPGA-based acceleration of high density myoelectric signal processing","date_created":"2018-11-23T15:00:28Z","author":[{"first_name":"Alexander","full_name":"Boschmann, Alexander","last_name":"Boschmann"},{"first_name":"Andreas","full_name":"Agne, Andreas","last_name":"Agne"},{"first_name":"Linus","full_name":"Witschen, Linus","last_name":"Witschen"},{"first_name":"Georg","full_name":"Thombansen, Georg","last_name":"Thombansen"},{"full_name":"Kraus, Florian","id":"14053","last_name":"Kraus","first_name":"Florian"},{"first_name":"Marco","id":"398","full_name":"Platzner, Marco","last_name":"Platzner"}],"publisher":"IEEE","date_updated":"2022-01-06T07:02:42Z"}]