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Photonics Research. 2020;8(9):1435-1440. doi:10.1364/prj.389200","chicago":"Chantakit, Teanchai, Christian Schlickriede, Basudeb Sain, Fabian Meyer, Thomas Weiss, Nattaporn Chattham, and Thomas Zentgraf. “All-Dielectric Silicon Metalens for Two-Dimensional Particle Manipulation in Optical Tweezers.” Photonics Research 8, no. 9 (2020): 1435–40. https://doi.org/10.1364/prj.389200.","bibtex":"@article{Chantakit_Schlickriede_Sain_Meyer_Weiss_Chattham_Zentgraf_2020, title={All-dielectric silicon metalens for two-dimensional particle manipulation in optical tweezers}, volume={8}, DOI={10.1364/prj.389200}, number={9}, journal={Photonics Research}, publisher={OSA}, author={Chantakit, Teanchai and Schlickriede, Christian and Sain, Basudeb and Meyer, Fabian and Weiss, Thomas and Chattham, Nattaporn and Zentgraf, Thomas}, year={2020}, pages={1435–1440} }","mla":"Chantakit, Teanchai, et al. “All-Dielectric Silicon Metalens for Two-Dimensional Particle Manipulation in Optical Tweezers.” Photonics Research, vol. 8, no. 9, OSA, 2020, pp. 1435–40, doi:10.1364/prj.389200.","short":"T. Chantakit, C. Schlickriede, B. Sain, F. Meyer, T. Weiss, N. Chattham, T. Zentgraf, Photonics Research 8 (2020) 1435–1440.","ieee":"T. Chantakit et al., “All-dielectric silicon metalens for two-dimensional particle manipulation in optical tweezers,” Photonics Research, vol. 8, no. 9, pp. 1435–1440, 2020."},"year":"2020","type":"journal_article","page":"1435-1440","article_type":"original","user_id":"30525","author":[{"full_name":"Chantakit, Teanchai","first_name":"Teanchai","last_name":"Chantakit"},{"first_name":"Christian","full_name":"Schlickriede, Christian","last_name":"Schlickriede","id":"59792"},{"last_name":"Sain","full_name":"Sain, Basudeb","first_name":"Basudeb"},{"last_name":"Meyer","full_name":"Meyer, Fabian","first_name":"Fabian"},{"first_name":"Thomas","full_name":"Weiss, Thomas","last_name":"Weiss"},{"full_name":"Chattham, Nattaporn","first_name":"Nattaporn","last_name":"Chattham"},{"first_name":"Thomas","full_name":"Zentgraf, Thomas","orcid":"0000-0002-8662-1101","last_name":"Zentgraf","id":"30525"}],"quality_controlled":"1","publisher":"OSA","publication":"Photonics Research","volume":8,"status":"public","date_created":"2020-07-16T07:35:01Z"},{"language":[{"iso":"eng"}],"type":"conference","year":"2020","citation":{"chicago":"Turcanu, Ion, Thomas Engel, and Christoph Sommer. “Fog Seeding Strategies for Information-Centric Heterogeneous Vehicular Networks.” In 2019 IEEE Vehicular Networking Conference (VNC), 2020. https://doi.org/10.1109/vnc48660.2019.9062816.","apa":"Turcanu, I., Engel, T., & Sommer, C. 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Scaling Digital Business Models: A Case from the Automotive Industry. In: Proceedings of the 2020 ISPIM Innovation Conference (Virtual) Event “Innovating in Times of Crisis.” ISPIM Innovation Conference; 2020.","apa":"Becker, J.-K., Joachim, K., Koldewey, C., Reinhold, J., & Dumitrescu, R. (2020). Scaling Digital Business Models: A Case from the Automotive Industry. In Proceedings of the 2020 ISPIM Innovation Conference (Virtual) Event “Innovating in Times of Crisis.” ISPIM Innovation Conference.","chicago":"Becker, Julia-Kristin, Klemens Joachim, Christian Koldewey, Jannik Reinhold, and Roman Dumitrescu. “Scaling Digital Business Models: A Case from the Automotive Industry.” In Proceedings of the 2020 ISPIM Innovation Conference (Virtual) Event “Innovating in Times of Crisis.” ISPIM Innovation Conference, 2020.","ieee":"J.-K. Becker, K. Joachim, C. Koldewey, J. Reinhold, and R. Dumitrescu, “Scaling Digital Business Models: A Case from the Automotive Industry,” in Proceedings of the 2020 ISPIM Innovation Conference (Virtual) Event “Innovating in Times of Crisis,” 2020.","short":"J.-K. Becker, K. Joachim, C. Koldewey, J. Reinhold, R. Dumitrescu, in: Proceedings of the 2020 ISPIM Innovation Conference (Virtual) Event “Innovating in Times of Crisis,” ISPIM Innovation Conference, 2020."},"year":"2020","type":"conference","_id":"17406","date_updated":"2022-01-06T06:53:10Z"},{"language":[{"iso":"eng"}],"year":"2020","type":"conference","citation":{"ieee":"A. Tornede, M. D. Wever, and E. Hüllermeier, “Extreme Algorithm Selection with Dyadic Feature Representation,” presented at the Discovery Science 2020, 2020.","short":"A. Tornede, M.D. Wever, E. 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In: Discovery Science. ; 2020."},"date_updated":"2022-01-06T06:53:10Z","_id":"17407","conference":{"name":"Discovery Science 2020"},"author":[{"id":"38209","last_name":"Tornede","full_name":"Tornede, Alexander","first_name":"Alexander"},{"first_name":"Marcel Dominik","orcid":" https://orcid.org/0000-0001-9782-6818","full_name":"Wever, Marcel Dominik","last_name":"Wever","id":"33176"},{"last_name":"Hüllermeier","id":"48129","first_name":"Eyke","full_name":"Hüllermeier, Eyke"}],"publication":"Discovery Science","department":[{"_id":"34"},{"_id":"355"},{"_id":"26"}],"status":"public","date_created":"2020-07-21T10:06:51Z","project":[{"name":"SFB 901","_id":"1"},{"_id":"3","name":"SFB 901 - Project Area B"},{"name":"SFB 901 - Subproject B2","_id":"10"},{"name":"Computing Resources Provided by the Paderborn Center for Parallel Computing","_id":"52"}],"user_id":"5786","title":"Extreme Algorithm Selection with Dyadic Feature Representation"},{"user_id":"5786","title":"Hybrid Ranking and Regression for Algorithm Selection","department":[{"_id":"34"},{"_id":"355"},{"_id":"26"}],"publication":"KI 2020: Advances in Artificial Intelligence","author":[{"last_name":"Hanselle","id":"43980","first_name":"Jonas Manuel","orcid":"0000-0002-1231-4985","full_name":"Hanselle, Jonas Manuel"},{"first_name":"Alexander","full_name":"Tornede, Alexander","last_name":"Tornede","id":"38209"},{"id":"33176","last_name":"Wever","full_name":"Wever, Marcel Dominik","orcid":" https://orcid.org/0000-0001-9782-6818","first_name":"Marcel Dominik"},{"last_name":"Hüllermeier","id":"48129","first_name":"Eyke","full_name":"Hüllermeier, Eyke"}],"project":[{"name":"SFB 901","_id":"1"},{"_id":"3","name":"SFB 901 - Project Area B"},{"name":"SFB 901 - Subproject B2","_id":"10"},{"name":"Computing Resources Provided by the Paderborn Center for Parallel Computing","_id":"52"}],"date_created":"2020-07-21T10:21:09Z","status":"public","conference":{"name":"43rd German Conference on Artificial Intelligence"},"date_updated":"2022-01-06T06:53:10Z","_id":"17408","language":[{"iso":"eng"}],"type":"conference","year":"2020","citation":{"chicago":"Hanselle, Jonas Manuel, Alexander Tornede, Marcel Dominik Wever, and Eyke Hüllermeier. “Hybrid Ranking and Regression for Algorithm Selection.” In KI 2020: Advances in Artificial Intelligence, 2020.","apa":"Hanselle, J. M., Tornede, A., Wever, M. D., & Hüllermeier, E. (2020). Hybrid Ranking and Regression for Algorithm Selection. KI 2020: Advances in Artificial Intelligence. 43rd German Conference on Artificial Intelligence.","ama":"Hanselle JM, Tornede A, Wever MD, Hüllermeier E. Hybrid Ranking and Regression for Algorithm Selection. In: KI 2020: Advances in Artificial Intelligence. ; 2020.","mla":"Hanselle, Jonas Manuel, et al. “Hybrid Ranking and Regression for Algorithm Selection.” KI 2020: Advances in Artificial Intelligence, 2020.","bibtex":"@inproceedings{Hanselle_Tornede_Wever_Hüllermeier_2020, title={Hybrid Ranking and Regression for Algorithm Selection}, booktitle={KI 2020: Advances in Artificial Intelligence}, author={Hanselle, Jonas Manuel and Tornede, Alexander and Wever, Marcel Dominik and Hüllermeier, Eyke}, year={2020} }","short":"J.M. Hanselle, A. Tornede, M.D. Wever, E. Hüllermeier, in: KI 2020: Advances in Artificial Intelligence, 2020.","ieee":"J. M. Hanselle, A. Tornede, M. D. Wever, and E. Hüllermeier, “Hybrid Ranking and Regression for Algorithm Selection,” presented at the 43rd German Conference on Artificial Intelligence, 2020."}},{"_id":"17411","date_updated":"2022-01-06T06:53:11Z","doi":"10.1007/978-3-030-51264-4_9","language":[{"iso":"eng"}],"citation":{"apa":"Flaßkamp, K., Ober-Blöbaum, S., & Peitz, S. (2020). Symmetry in Optimal Control: A Multiobjective Model Predictive Control Approach. In O. Junge, O. Schütze, G. Froyland, S. Ober-Blöbaum, & K. Padberg-Gehle (Eds.), Advances in Dynamics, Optimization and Computation. Cham: Springer. https://doi.org/10.1007/978-3-030-51264-4_9","ama":"Flaßkamp K, Ober-Blöbaum S, Peitz S. Symmetry in Optimal Control: A Multiobjective Model Predictive Control Approach. In: Junge O, Schütze O, Froyland G, Ober-Blöbaum S, Padberg-Gehle K, eds. Advances in Dynamics, Optimization and Computation. Cham: Springer; 2020. doi:10.1007/978-3-030-51264-4_9","chicago":"Flaßkamp, Kathrin, Sina Ober-Blöbaum, and Sebastian Peitz. “Symmetry in Optimal Control: A Multiobjective Model Predictive Control Approach.” In Advances in Dynamics, Optimization and Computation, edited by Oliver Junge, Oliver Schütze, Gary Froyland, Sina Ober-Blöbaum, and Kathrin Padberg-Gehle. Cham: Springer, 2020. https://doi.org/10.1007/978-3-030-51264-4_9.","mla":"Flaßkamp, Kathrin, et al. “Symmetry in Optimal Control: A Multiobjective Model Predictive Control Approach.” Advances in Dynamics, Optimization and Computation, edited by Oliver Junge et al., Springer, 2020, doi:10.1007/978-3-030-51264-4_9.","bibtex":"@inbook{Flaßkamp_Ober-Blöbaum_Peitz_2020, place={Cham}, title={Symmetry in Optimal Control: A Multiobjective Model Predictive Control Approach}, DOI={10.1007/978-3-030-51264-4_9}, booktitle={Advances in Dynamics, Optimization and Computation}, publisher={Springer}, author={Flaßkamp, Kathrin and Ober-Blöbaum, Sina and Peitz, Sebastian}, editor={Junge, Oliver and Schütze, Oliver and Froyland, Gary and Ober-Blöbaum, Sina and Padberg-Gehle, KathrinEditors}, year={2020} }","short":"K. Flaßkamp, S. Ober-Blöbaum, S. Peitz, in: O. Junge, O. Schütze, G. Froyland, S. Ober-Blöbaum, K. Padberg-Gehle (Eds.), Advances in Dynamics, Optimization and Computation, Springer, Cham, 2020.","ieee":"K. Flaßkamp, S. Ober-Blöbaum, and S. Peitz, “Symmetry in Optimal Control: A Multiobjective Model Predictive Control Approach,” in Advances in Dynamics, Optimization and Computation, O. Junge, O. Schütze, G. Froyland, S. Ober-Blöbaum, and K. Padberg-Gehle, Eds. Cham: Springer, 2020."},"type":"book_chapter","year":"2020","abstract":[{"lang":"eng","text":"Many dynamical systems possess symmetries, e.g. rotational and translational invariances of mechanical systems. These can be beneficially exploited in the design of numerical optimal control methods. We present a model predictive control scheme which is based on a library of precomputed motion primitives. The primitives are equivalence classes w.r.t. the symmetry of the optimal control problems. Trim primitives as relative equilibria w.r.t. this symmetry, play a crucial role in the algorithm. The approach is illustrated using an academic mobile robot example."}],"place":"Cham","user_id":"47427","title":"Symmetry in Optimal Control: A Multiobjective Model Predictive Control Approach","publication":"Advances in Dynamics, Optimization and Computation","department":[{"_id":"101"}],"publisher":"Springer","author":[{"last_name":"Flaßkamp","full_name":"Flaßkamp, Kathrin","first_name":"Kathrin"},{"last_name":"Ober-Blöbaum","full_name":"Ober-Blöbaum, Sina","first_name":"Sina"},{"last_name":"Peitz","id":"47427","first_name":"Sebastian","orcid":"0000-0002-3389-793X","full_name":"Peitz, Sebastian"}],"date_created":"2020-07-27T09:50:19Z","status":"public","publication_identifier":{"issn":["2198-4182","2198-4190"],"isbn":["9783030512637","9783030512644"]},"publication_status":"published","editor":[{"first_name":"Oliver","full_name":"Junge, Oliver","last_name":"Junge"},{"last_name":"Schütze","full_name":"Schütze, Oliver","first_name":"Oliver"},{"first_name":"Gary","full_name":"Froyland, Gary","last_name":"Froyland"},{"first_name":"Sina","full_name":"Ober-Blöbaum, Sina","last_name":"Ober-Blöbaum"},{"last_name":"Padberg-Gehle","full_name":"Padberg-Gehle, Kathrin","first_name":"Kathrin"}]},{"title":"AutoML for Predictive Maintenance: One Tool to RUL Them All","user_id":"5786","date_created":"2020-07-28T09:17:41Z","project":[{"_id":"52","name":"Computing Resources Provided by the Paderborn Center for Parallel Computing"},{"_id":"3","name":"SFB 901 - Project Area B"},{"_id":"10","name":"SFB 901 - Subproject B2"},{"_id":"1","name":"SFB 901"},{"_id":"52","name":"Computing Resources Provided by the Paderborn Center for Parallel Computing"}],"status":"public","publication":"Proceedings of the ECMLPKDD 2020","department":[{"_id":"34"},{"_id":"355"},{"_id":"26"}],"author":[{"last_name":"Tornede","id":"40795","first_name":"Tanja","full_name":"Tornede, Tanja"},{"id":"38209","last_name":"Tornede","full_name":"Tornede, Alexander","first_name":"Alexander"},{"id":"33176","last_name":"Wever","orcid":" https://orcid.org/0000-0001-9782-6818","full_name":"Wever, Marcel Dominik","first_name":"Marcel Dominik"},{"last_name":"Mohr","full_name":"Mohr, Felix","first_name":"Felix"},{"first_name":"Eyke","full_name":"Hüllermeier, Eyke","last_name":"Hüllermeier","id":"48129"}],"doi":"10.1007/978-3-030-66770-2_8","conference":{"name":"IOTStream Workshop @ ECMLPKDD 2020"},"date_updated":"2022-01-06T06:53:11Z","_id":"17424","citation":{"chicago":"Tornede, Tanja, Alexander Tornede, Marcel Dominik Wever, Felix Mohr, and Eyke Hüllermeier. “AutoML for Predictive Maintenance: One Tool to RUL Them All.” In Proceedings of the ECMLPKDD 2020, 2020. https://doi.org/10.1007/978-3-030-66770-2_8.","ama":"Tornede T, Tornede A, Wever MD, Mohr F, Hüllermeier E. AutoML for Predictive Maintenance: One Tool to RUL Them All. In: Proceedings of the ECMLPKDD 2020. ; 2020. doi:10.1007/978-3-030-66770-2_8","apa":"Tornede, T., Tornede, A., Wever, M. D., Mohr, F., & Hüllermeier, E. (2020). AutoML for Predictive Maintenance: One Tool to RUL Them All. Proceedings of the ECMLPKDD 2020. IOTStream Workshop @ ECMLPKDD 2020. https://doi.org/10.1007/978-3-030-66770-2_8","bibtex":"@inproceedings{Tornede_Tornede_Wever_Mohr_Hüllermeier_2020, title={AutoML for Predictive Maintenance: One Tool to RUL Them All}, DOI={10.1007/978-3-030-66770-2_8}, booktitle={Proceedings of the ECMLPKDD 2020}, author={Tornede, Tanja and Tornede, Alexander and Wever, Marcel Dominik and Mohr, Felix and Hüllermeier, Eyke}, year={2020} }","mla":"Tornede, Tanja, et al. “AutoML for Predictive Maintenance: One Tool to RUL Them All.” Proceedings of the ECMLPKDD 2020, 2020, doi:10.1007/978-3-030-66770-2_8.","short":"T. Tornede, A. Tornede, M.D. Wever, F. Mohr, E. Hüllermeier, in: Proceedings of the ECMLPKDD 2020, 2020.","ieee":"T. Tornede, A. Tornede, M. D. Wever, F. Mohr, and E. 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The impact of the recombination mechanisms in luminescent materials is discussed with regard to luminescence based gas-sensing applications and the use of semiconducting materials, as an alternative to organic–metal complexes, is outlined.
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The calculation of the solids conveying throughput is particularly important for extruders with a grooved feed section. In contrast to smooth barrel extruders the throughput of the entire plant is determined at the feed section. Various simplifications are necessary for an analytical modelling of the solids conveying, e.g. the classification into conveying cases, the assumption of solid block flow and the assumption of pressure anisotropy coefficients. In numerical simulations with the Discrete Element Method (DEM), which has recently been successfully used to describe solids conveying in smooth barrel extruders, the simplifications mentioned above are not taken into account. Here, the pellets are approximated as spherical particles or particles composed of spheres. Based on virtual overlaps, contact models and the solution of Newton's equations of motion, a more complex consideration of the pellet flow is possible. In each iteration step of the simulation, the particle velocities, contact forces and derived quantities, e.g. the mass throughput in the screw channel and the grooves or the radial pressure build-up along the grooved barrel can be evaluated. Therefore, a DEM simulation model can be investigated by means of statistical design of experiments in order to convert the target values into a metamodel by regression. Long computation times of numerical simulations will be avoided in this matter as well as too simple assumptions of analytical approaches. The influencing parameters to be simulated are divided into material, geometry and process parameters. Relevant material parameters are the coefficients of friction of the polymer-polymer and polymer-steel surface as well as the restitution coefficient and the particle diameter. The geometry is varied in the form of the screw diameter, the channel depth and pitch, the number of grooves and their width, depth and angle. By varying the angle, both conventional axial grooves and helical grooves are taken into account. Finally, the process parameters speed and backpressure are also considered in the simulations. In order to reduce the simulation effort, irrelevant parameters are identified in preliminary investigations.\r\n"}],"year":"2020","citation":{"chicago":"Schöppner, Volker, and Florian Brüning. “Development of a Solids Conveying Throughput Model for Grooved Barrel Extruders Based on Discrete Element Simulations.” In Advances in Polymer Processing 2020: Proceedings of the International Symposium on Plastics Technology, edited by Christian Hopmann and Rainer Dahlmann. Springer, 2020.","ama":"Schöppner V, Brüning F. Development of a Solids Conveying Throughput Model for Grooved Barrel Extruders based on Discrete Element Simulations. In: Hopmann C, Dahlmann R, eds. Advances in Polymer Processing 2020: Proceedings of the International Symposium on Plastics Technology. Springer; 2020.","apa":"Schöppner, V., & Brüning, F. (2020). Development of a Solids Conveying Throughput Model for Grooved Barrel Extruders based on Discrete Element Simulations. In C. Hopmann & R. Dahlmann (Eds.), Advances in Polymer Processing 2020: Proceedings of the International Symposium on Plastics Technology. Springer.","bibtex":"@inproceedings{Schöppner_Brüning_2020, title={Development of a Solids Conveying Throughput Model for Grooved Barrel Extruders based on Discrete Element Simulations}, booktitle={Advances in Polymer Processing 2020: Proceedings of the International Symposium on Plastics Technology}, publisher={Springer}, author={Schöppner, Volker and Brüning, Florian}, editor={Hopmann, Christian and Dahlmann, Rainer}, year={2020} }","mla":"Schöppner, Volker, and Florian Brüning. “Development of a Solids Conveying Throughput Model for Grooved Barrel Extruders Based on Discrete Element Simulations.” Advances in Polymer Processing 2020: Proceedings of the International Symposium on Plastics Technology, edited by Christian Hopmann and Rainer Dahlmann, Springer, 2020.","short":"V. Schöppner, F. Brüning, in: C. Hopmann, R. Dahlmann (Eds.), Advances in Polymer Processing 2020: Proceedings of the International Symposium on Plastics Technology, Springer, 2020.","ieee":"V. Schöppner and F. 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(2020). Einfluss der Materialschädigung auf die Schweißnahtqualität beim Warmgasstumpfschweißen von Polyamiden. DVS CONGRESS 2020 - Große Schweißtechnische Tagung, 365.","ama":"Albrecht M, Bialaschik M, Gehde M, Schöppner V. Einfluss der Materialschädigung auf die Schweißnahtqualität beim Warmgasstumpfschweißen von Polyamiden. DVS CONGRESS 2020 - Große Schweißtechnische Tagung. 2020;365.","chicago":"Albrecht, Mirko, Max Bialaschik, Michael Gehde, and Volker Schöppner. “Einfluss der Materialschädigung auf die Schweißnahtqualität beim Warmgasstumpfschweißen von Polyamiden.” DVS CONGRESS 2020 - Große Schweißtechnische Tagung 365 (2020).","ieee":"M. Albrecht, M. Bialaschik, M. Gehde, and V. Schöppner, “Einfluss der Materialschädigung auf die Schweißnahtqualität beim Warmgasstumpfschweißen von Polyamiden,” DVS CONGRESS 2020 - Große Schweißtechnische Tagung, vol. 365, 2020.","short":"M. Albrecht, M. Bialaschik, M. Gehde, V. Schöppner, DVS CONGRESS 2020 - Große Schweißtechnische Tagung 365 (2020)."},"intvolume":" 365","_id":"23868","date_updated":"2022-01-06T06:56:02Z"},{"title":"Hot gas welding – Influences of the tool design","user_id":"32297","publication_status":"published","status":"public","date_created":"2021-09-07T11:48:32Z","author":[{"first_name":"Mirko","full_name":"Albrecht, Mirko","last_name":"Albrecht"},{"id":"32297","last_name":"Bialaschik","full_name":"Bialaschik, Max","first_name":"Max"},{"last_name":"Gehde","full_name":"Gehde, Michael","first_name":"Michael"},{"full_name":"Schöppner, Volker","first_name":"Volker","id":"20530","last_name":"Schöppner"}],"department":[{"_id":"9"},{"_id":"367"},{"_id":"321"}],"doi":"10.1063/5.0029478","date_updated":"2022-01-06T06:56:02Z","_id":"23873","conference":{"name":"PPS2019 Europe-Africa Regional Conference of the Polymer Processing Society","location":"Pretoria"},"type":"conference","citation":{"chicago":"Albrecht, Mirko, Max Bialaschik, Michael Gehde, and Volker Schöppner. “Hot Gas Welding – Influences of the Tool Design,” 2020. https://doi.org/10.1063/5.0029478.","ama":"Albrecht M, Bialaschik M, Gehde M, Schöppner V. Hot gas welding – Influences of the tool design. In: ; 2020. doi:10.1063/5.0029478","apa":"Albrecht, M., Bialaschik, M., Gehde, M., & Schöppner, V. (2020). Hot gas welding – Influences of the tool design. PPS2019 Europe-Africa Regional Conference of the Polymer Processing Society, Pretoria. https://doi.org/10.1063/5.0029478","mla":"Albrecht, Mirko, et al. Hot Gas Welding – Influences of the Tool Design. 2020, doi:10.1063/5.0029478.","bibtex":"@inproceedings{Albrecht_Bialaschik_Gehde_Schöppner_2020, title={Hot gas welding – Influences of the tool design}, DOI={10.1063/5.0029478}, author={Albrecht, Mirko and Bialaschik, Max and Gehde, Michael and Schöppner, Volker}, year={2020} }","short":"M. Albrecht, M. Bialaschik, M. Gehde, V. Schöppner, in: 2020.","ieee":"M. Albrecht, M. Bialaschik, M. Gehde, and V. Schöppner, “Hot gas welding – Influences of the tool design,” presented at the PPS2019 Europe-Africa Regional Conference of the Polymer Processing Society, Pretoria, 2020, doi: 10.1063/5.0029478."},"year":"2020","language":[{"iso":"eng"}]}]