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Brüning, D. Kleinschmidt, J.D.R.H. Petzke, in: 39th International Conference of the Polymer Processing Society, 2024.","bibtex":"@inproceedings{Brüning_Kleinschmidt_Petzke_2024, title={Improvement of an alternative method for the correction of wall slip effects in rheological studies of filled rubber compounds}, booktitle={39th International Conference of the Polymer Processing Society}, author={Brüning, Florian and Kleinschmidt, Dennis and Petzke, Jonas Dirk Rudolf Helmut}, year={2024} }","apa":"Brüning, F., Kleinschmidt, D., &#38; Petzke, J. D. R. H. (2024). Improvement of an alternative method for the correction of wall slip effects in rheological studies of filled rubber compounds. <i>39th International Conference of the Polymer Processing Society</i>.","ama":"Brüning F, Kleinschmidt D, Petzke JDRH. Improvement of an alternative method for the correction of wall slip effects in rheological studies of filled rubber compounds. 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Petzke, “Improvement of an alternative method for the correction of wall slip effects in rheological studies of filled rubber compounds,” 2024."},"status":"public","quality_controlled":"1","type":"conference","publication":"39th International Conference of the Polymer Processing Society"},{"language":[{"iso":"eng"}],"keyword":["Kautschuk","Mikrowelle","Simulation","Vulkanisation"],"title":"Simulative Approach for Predicting the Heating Behavior of Elastomers in the Solid-State Microwave Heating Process","department":[{"_id":"9"},{"_id":"321"},{"_id":"367"}],"user_id":"59363","author":[{"id":"57512","full_name":"Petzke, Jonas Dirk Rudolf Helmut","last_name":"Petzke","first_name":"Jonas Dirk Rudolf Helmut"},{"first_name":"Florian","full_name":"Brüning, Florian","id":"72920","last_name":"Brüning"},{"last_name":"Kleinschmidt","full_name":"Kleinschmidt, Dennis","id":"40516","first_name":"Dennis"}],"date_created":"2025-03-25T09:54:31Z","_id":"59126","date_updated":"2025-03-28T10:09:31Z","status":"public","citation":{"ama":"Petzke JDRH, Brüning F, Kleinschmidt D. Simulative Approach for Predicting the Heating Behavior of Elastomers in the Solid-State Microwave Heating Process. In: <i>39th International Conference of the Polymer Processing Society</i>. ; 2024.","chicago":"Petzke, Jonas Dirk Rudolf Helmut, Florian Brüning, and Dennis Kleinschmidt. “Simulative Approach for Predicting the Heating Behavior of Elastomers in the Solid-State Microwave Heating Process.” In <i>39th International Conference of the Polymer Processing Society</i>, 2024.","ieee":"J. D. R. H. Petzke, F. Brüning, and D. Kleinschmidt, “Simulative Approach for Predicting the Heating Behavior of Elastomers in the Solid-State Microwave Heating Process,” 2024.","bibtex":"@inproceedings{Petzke_Brüning_Kleinschmidt_2024, title={Simulative Approach for Predicting the Heating Behavior of Elastomers in the Solid-State Microwave Heating Process}, booktitle={39th International Conference of the Polymer Processing Society}, author={Petzke, Jonas Dirk Rudolf Helmut and Brüning, Florian and Kleinschmidt, Dennis}, year={2024} }","short":"J.D.R.H. Petzke, F. Brüning, D. Kleinschmidt, in: 39th International Conference of the Polymer Processing Society, 2024.","mla":"Petzke, Jonas Dirk Rudolf Helmut, et al. “Simulative Approach for Predicting the Heating Behavior of Elastomers in the Solid-State Microwave Heating Process.” <i>39th International Conference of the Polymer Processing Society</i>, 2024.","apa":"Petzke, J. D. R. H., Brüning, F., &#38; Kleinschmidt, D. (2024). Simulative Approach for Predicting the Heating Behavior of Elastomers in the Solid-State Microwave Heating Process. <i>39th International Conference of the Polymer Processing Society</i>."},"year":"2024","publication":"39th International Conference of the Polymer Processing Society","type":"conference","quality_controlled":"1"},{"publication":"Annual Technical Conference of the Society of Plastics Engineers (ANTEC 2024)","type":"conference","status":"public","citation":{"mla":"Petzke, Jonas Dirk Rudolf Helmut, et al. “SIMULATION OF MICROWAVE HEATING IN THE VULCANIZATION PROCESS OF RUBBER EXTRUDATES.” <i>Annual Technical Conference of the Society of Plastics Engineers (ANTEC 2024)</i>, 2024.","bibtex":"@inproceedings{Petzke_Brüning_Kleinschmidt_2024, title={SIMULATION OF MICROWAVE HEATING IN THE VULCANIZATION PROCESS OF RUBBER EXTRUDATES}, booktitle={Annual Technical Conference of the Society of Plastics Engineers (ANTEC 2024)}, author={Petzke, Jonas Dirk Rudolf Helmut and Brüning, Florian and Kleinschmidt, Dennis}, year={2024} }","short":"J.D.R.H. Petzke, F. Brüning, D. Kleinschmidt, in: Annual Technical Conference of the Society of Plastics Engineers (ANTEC 2024), 2024.","apa":"Petzke, J. D. R. H., Brüning, F., &#38; Kleinschmidt, D. (2024). SIMULATION OF MICROWAVE HEATING IN THE VULCANIZATION PROCESS OF RUBBER EXTRUDATES. <i>Annual Technical Conference of the Society of Plastics Engineers (ANTEC 2024)</i>.","ama":"Petzke JDRH, Brüning F, Kleinschmidt D. SIMULATION OF MICROWAVE HEATING IN THE VULCANIZATION PROCESS OF RUBBER EXTRUDATES. In: <i>Annual Technical Conference of the Society of Plastics Engineers (ANTEC 2024)</i>. ; 2024.","ieee":"J. D. R. H. Petzke, F. Brüning, and D. Kleinschmidt, “SIMULATION OF MICROWAVE HEATING IN THE VULCANIZATION PROCESS OF RUBBER EXTRUDATES,” 2024.","chicago":"Petzke, Jonas Dirk Rudolf Helmut, Florian Brüning, and Dennis Kleinschmidt. “SIMULATION OF MICROWAVE HEATING IN THE VULCANIZATION PROCESS OF RUBBER EXTRUDATES.” In <i>Annual Technical Conference of the Society of Plastics Engineers (ANTEC 2024)</i>, 2024."},"year":"2024","department":[{"_id":"9"},{"_id":"321"},{"_id":"367"}],"date_created":"2025-03-25T09:54:31Z","author":[{"full_name":"Petzke, Jonas Dirk Rudolf Helmut","id":"57512","last_name":"Petzke","first_name":"Jonas Dirk Rudolf Helmut"},{"full_name":"Brüning, Florian","id":"72920","last_name":"Brüning","first_name":"Florian"},{"full_name":"Kleinschmidt, Dennis","id":"40516","last_name":"Kleinschmidt","first_name":"Dennis"}],"user_id":"59363","_id":"59125","date_updated":"2025-03-28T10:10:11Z","language":[{"iso":"eng"}],"title":"SIMULATION OF MICROWAVE HEATING IN THE VULCANIZATION PROCESS OF RUBBER EXTRUDATES","keyword":["Kautschuk","Mikrowelle","Simulation","Vulkanisation"]},{"_id":"59121","user_id":"59363","department":[{"_id":"9"},{"_id":"321"},{"_id":"367"}],"keyword":["Rheologie","Viskosität","Wandgleiten"],"language":[{"iso":"eng"}],"type":"conference","publication":"Deutsche Kautschuk Tagung 2024 (DKT 2024)","status":"public","date_updated":"2025-03-28T10:05:19Z","date_created":"2025-03-25T09:54:31Z","author":[{"id":"72920","full_name":"Brüning, Florian","last_name":"Brüning","first_name":"Florian"},{"last_name":"Kleinschmidt","full_name":"Kleinschmidt, Dennis","id":"40516","first_name":"Dennis"},{"full_name":"Petzke, Jonas Dirk Rudolf Helmut","id":"57512","last_name":"Petzke","first_name":"Jonas Dirk Rudolf Helmut"}],"title":"Applicability of empirical rheological transfer functions on filled rubber compounds","year":"2024","citation":{"bibtex":"@inproceedings{Brüning_Kleinschmidt_Petzke_2024, title={Applicability of empirical rheological transfer functions on filled rubber compounds}, booktitle={Deutsche Kautschuk Tagung 2024 (DKT 2024)}, author={Brüning, Florian and Kleinschmidt, Dennis and Petzke, Jonas Dirk Rudolf Helmut}, year={2024} }","short":"F. Brüning, D. Kleinschmidt, J.D.R.H. Petzke, in: Deutsche Kautschuk Tagung 2024 (DKT 2024), 2024.","mla":"Brüning, Florian, et al. “Applicability of Empirical Rheological Transfer Functions on Filled Rubber Compounds.” <i>Deutsche Kautschuk Tagung 2024 (DKT 2024)</i>, 2024.","apa":"Brüning, F., Kleinschmidt, D., &#38; Petzke, J. D. R. H. (2024). Applicability of empirical rheological transfer functions on filled rubber compounds. <i>Deutsche Kautschuk Tagung 2024 (DKT 2024)</i>.","ama":"Brüning F, Kleinschmidt D, Petzke JDRH. Applicability of empirical rheological transfer functions on filled rubber compounds. In: <i>Deutsche Kautschuk Tagung 2024 (DKT 2024)</i>. ; 2024.","chicago":"Brüning, Florian, Dennis Kleinschmidt, and Jonas Dirk Rudolf Helmut Petzke. “Applicability of Empirical Rheological Transfer Functions on Filled Rubber Compounds.” In <i>Deutsche Kautschuk Tagung 2024 (DKT 2024)</i>, 2024.","ieee":"F. Brüning, D. Kleinschmidt, and J. D. R. H. Petzke, “Applicability of empirical rheological transfer functions on filled rubber compounds,” 2024."}},{"language":[{"iso":"ger"}],"_id":"58388","department":[{"_id":"9"},{"_id":"876"},{"_id":"321"}],"user_id":"22833","status":"public","publication":"Kunststoffland NRW Report","type":"journal_article","popular_science":"1","title":"Kunststoffrecycling im Lehrangebot der Universität Paderborn ","date_updated":"2025-04-01T08:06:33Z","author":[{"id":"45326","full_name":"Austermeier, Laura","last_name":"Austermeier","first_name":"Laura"},{"id":"72920","full_name":"Brüning, Florian","last_name":"Brüning","first_name":"Florian"},{"last_name":"Schöppner","id":"20530","full_name":"Schöppner, Volker","first_name":"Volker"},{"last_name":"Schlüter","orcid":"0000-0002-2569-1624","id":"103302","full_name":"Schlüter, Alexander","first_name":"Alexander"}],"date_created":"2025-01-29T07:49:50Z","year":"2024","page":"24-25","citation":{"apa":"Austermeier, L., Brüning, F., Schöppner, V., &#38; Schlüter, A. (2024). Kunststoffrecycling im Lehrangebot der Universität Paderborn . <i>Kunststoffland NRW Report</i>, <i>03/2024</i>, 24–25.","short":"L. Austermeier, F. Brüning, V. Schöppner, A. Schlüter, Kunststoffland NRW Report (2024) 24–25.","mla":"Austermeier, Laura, et al. “Kunststoffrecycling im Lehrangebot der Universität Paderborn .” <i>Kunststoffland NRW Report</i>, no. 03/2024, 2024, pp. 24–25.","bibtex":"@article{Austermeier_Brüning_Schöppner_Schlüter_2024, title={Kunststoffrecycling im Lehrangebot der Universität Paderborn }, number={03/2024}, journal={Kunststoffland NRW Report}, author={Austermeier, Laura and Brüning, Florian and Schöppner, Volker and Schlüter, Alexander}, year={2024}, pages={24–25} }","ama":"Austermeier L, Brüning F, Schöppner V, Schlüter A. Kunststoffrecycling im Lehrangebot der Universität Paderborn . <i>Kunststoffland NRW Report</i>. 2024;(03/2024):24-25.","ieee":"L. Austermeier, F. Brüning, V. Schöppner, and A. Schlüter, “Kunststoffrecycling im Lehrangebot der Universität Paderborn ,” <i>Kunststoffland NRW Report</i>, no. 03/2024, pp. 24–25, 2024.","chicago":"Austermeier, Laura, Florian Brüning, Volker Schöppner, and Alexander Schlüter. “Kunststoffrecycling im Lehrangebot der Universität Paderborn .” <i>Kunststoffland NRW Report</i>, no. 03/2024 (2024): 24–25."},"publication_status":"published","issue":"03/2024"},{"abstract":[{"text":"Most single-screw extruders used in the plastics processing industry are plasticizing extruders, designed to melt solid pellets or powders within the screw channel during processing. In many cases, the efficiency of the melting process acts as the primary throughput-limiting factor. If the material melts too late in the process, it may not be sufficiently mixed, resulting in substandard product quality. Accurate prediction of the melting process is therefore essential for efficient and cost-effective machine design. A practical method for engineers is the modeling of the melting process using mathematical–physical models that can be solved without complex numerical methods. These models enable rapid calculations while still providing sufficient predictive accuracy. This study revisits the modified Tadmor model by Potente, which describes the melting process and predicts the delay-zone length, extending from the hopper front edge to the point of melt pool formation. Based on extensive experimental investigations, this model is adapted by redefining the flow temperatures at the phase boundary and accounting for surface porosity at the beginning of the melting zone. Additionally, the effect of variable solid bed dynamics on model accuracy is examined. Significant model improvements were achieved by accounting for reduced heat flow into the solid bed due to the porous surface structure in the solid conveying zone, along with a new assumption for the flow temperature at the phase boundary between the solid bed and melt film.","lang":"eng"}],"status":"public","publication":"Polymers","type":"journal_article","keyword":["delay zone","extrusion","melting modeling"],"language":[{"iso":"eng"}],"_id":"59243","department":[{"_id":"9"},{"_id":"321"},{"_id":"367"}],"user_id":"59363","year":"2024","intvolume":"        16","page":"3130","citation":{"ieee":"V. Schöppner, F. Brüning, and F. Knaup, “Improvement in an Analytical Approach for Modeling the Melting Process in Single-Screw Extruders,” <i>Polymers</i>, vol. 16, no. 22, p. 3130, 2024, doi: <a href=\"https://doi.org/10.3390/polym16223130\">10.3390/polym16223130</a>.","chicago":"Schöppner, Volker, Florian Brüning, and Felix Knaup. “Improvement in an Analytical Approach for Modeling the Melting Process in Single-Screw Extruders.” <i>Polymers</i> 16, no. 22 (2024): 3130. <a href=\"https://doi.org/10.3390/polym16223130\">https://doi.org/10.3390/polym16223130</a>.","ama":"Schöppner V, Brüning F, Knaup F. Improvement in an Analytical Approach for Modeling the Melting Process in Single-Screw Extruders. <i>Polymers</i>. 2024;16(22):3130. doi:<a href=\"https://doi.org/10.3390/polym16223130\">10.3390/polym16223130</a>","mla":"Schöppner, Volker, et al. “Improvement in an Analytical Approach for Modeling the Melting Process in Single-Screw Extruders.” <i>Polymers</i>, vol. 16, no. 22, 2024, p. 3130, doi:<a href=\"https://doi.org/10.3390/polym16223130\">10.3390/polym16223130</a>.","short":"V. Schöppner, F. Brüning, F. Knaup, Polymers 16 (2024) 3130.","bibtex":"@article{Schöppner_Brüning_Knaup_2024, title={Improvement in an Analytical Approach for Modeling the Melting Process in Single-Screw Extruders}, volume={16}, DOI={<a href=\"https://doi.org/10.3390/polym16223130\">10.3390/polym16223130</a>}, number={22}, journal={Polymers}, author={Schöppner, Volker and Brüning, Florian and Knaup, Felix}, year={2024}, pages={3130} }","apa":"Schöppner, V., Brüning, F., &#38; Knaup, F. (2024). Improvement in an Analytical Approach for Modeling the Melting Process in Single-Screw Extruders. <i>Polymers</i>, <i>16</i>(22), 3130. <a href=\"https://doi.org/10.3390/polym16223130\">https://doi.org/10.3390/polym16223130</a>"},"quality_controlled":"1","issue":"22","title":"Improvement in an Analytical Approach for Modeling the Melting Process in Single-Screw Extruders","doi":"10.3390/polym16223130","date_updated":"2025-04-02T11:21:00Z","volume":16,"date_created":"2025-04-02T09:51:32Z","author":[{"first_name":"Volker","full_name":"Schöppner, Volker","id":"20530","last_name":"Schöppner"},{"first_name":"Florian","last_name":"Brüning","id":"72920","full_name":"Brüning, Florian"},{"first_name":"Felix","last_name":"Knaup","full_name":"Knaup, Felix","id":"45124"}]},{"title":"Corrosion fatigue behavior of nanoparticle modified iron processed by electron powder bed fusion","doi":"10.1038/s41529-024-00470-w","publisher":"Springer Science and Business Media LLC","date_updated":"2025-11-18T12:11:30Z","date_created":"2025-11-18T12:11:06Z","author":[{"first_name":"Steffen","full_name":"Wackenrohr, Steffen","last_name":"Wackenrohr"},{"last_name":"Torrent","full_name":"Torrent, Christof Johannes Jaime","first_name":"Christof Johannes Jaime"},{"full_name":"Herbst, Sebastian","last_name":"Herbst","first_name":"Sebastian"},{"last_name":"Nürnberger","full_name":"Nürnberger, Florian","first_name":"Florian"},{"last_name":"Krooss","full_name":"Krooss, Philipp","first_name":"Philipp"},{"first_name":"Johanna-Maria","full_name":"Frenck, Johanna-Maria","last_name":"Frenck"},{"first_name":"Christoph","last_name":"Ebbert","full_name":"Ebbert, Christoph","id":"7266"},{"first_name":"Markus","id":"15182","full_name":"Voigt, Markus","last_name":"Voigt"},{"last_name":"Grundmeier","id":"194","full_name":"Grundmeier, Guido","first_name":"Guido"},{"first_name":"Thomas","full_name":"Niendorf, Thomas","last_name":"Niendorf"},{"full_name":"Maier, Hans Jürgen","last_name":"Maier","first_name":"Hans Jürgen"}],"volume":8,"year":"2024","citation":{"short":"S. Wackenrohr, C.J.J. Torrent, S. Herbst, F. Nürnberger, P. Krooss, J.-M. Frenck, C. Ebbert, M. Voigt, G. Grundmeier, T. Niendorf, H.J. Maier, Npj Materials Degradation 8 (2024).","mla":"Wackenrohr, Steffen, et al. “Corrosion Fatigue Behavior of Nanoparticle Modified Iron Processed by Electron Powder Bed Fusion.” <i>Npj Materials Degradation</i>, vol. 8, no. 1, 49, Springer Science and Business Media LLC, 2024, doi:<a href=\"https://doi.org/10.1038/s41529-024-00470-w\">10.1038/s41529-024-00470-w</a>.","bibtex":"@article{Wackenrohr_Torrent_Herbst_Nürnberger_Krooss_Frenck_Ebbert_Voigt_Grundmeier_Niendorf_et al._2024, title={Corrosion fatigue behavior of nanoparticle modified iron processed by electron powder bed fusion}, volume={8}, DOI={<a href=\"https://doi.org/10.1038/s41529-024-00470-w\">10.1038/s41529-024-00470-w</a>}, number={149}, journal={npj Materials Degradation}, publisher={Springer Science and Business Media LLC}, author={Wackenrohr, Steffen and Torrent, Christof Johannes Jaime and Herbst, Sebastian and Nürnberger, Florian and Krooss, Philipp and Frenck, Johanna-Maria and Ebbert, Christoph and Voigt, Markus and Grundmeier, Guido and Niendorf, Thomas and et al.}, year={2024} }","apa":"Wackenrohr, S., Torrent, C. J. J., Herbst, S., Nürnberger, F., Krooss, P., Frenck, J.-M., Ebbert, C., Voigt, M., Grundmeier, G., Niendorf, T., &#38; Maier, H. J. (2024). Corrosion fatigue behavior of nanoparticle modified iron processed by electron powder bed fusion. <i>Npj Materials Degradation</i>, <i>8</i>(1), Article 49. <a href=\"https://doi.org/10.1038/s41529-024-00470-w\">https://doi.org/10.1038/s41529-024-00470-w</a>","ama":"Wackenrohr S, Torrent CJJ, Herbst S, et al. Corrosion fatigue behavior of nanoparticle modified iron processed by electron powder bed fusion. <i>npj Materials Degradation</i>. 2024;8(1). doi:<a href=\"https://doi.org/10.1038/s41529-024-00470-w\">10.1038/s41529-024-00470-w</a>","ieee":"S. Wackenrohr <i>et al.</i>, “Corrosion fatigue behavior of nanoparticle modified iron processed by electron powder bed fusion,” <i>npj Materials Degradation</i>, vol. 8, no. 1, Art. no. 49, 2024, doi: <a href=\"https://doi.org/10.1038/s41529-024-00470-w\">10.1038/s41529-024-00470-w</a>.","chicago":"Wackenrohr, Steffen, Christof Johannes Jaime Torrent, Sebastian Herbst, Florian Nürnberger, Philipp Krooss, Johanna-Maria Frenck, Christoph Ebbert, et al. “Corrosion Fatigue Behavior of Nanoparticle Modified Iron Processed by Electron Powder Bed Fusion.” <i>Npj Materials Degradation</i> 8, no. 1 (2024). <a href=\"https://doi.org/10.1038/s41529-024-00470-w\">https://doi.org/10.1038/s41529-024-00470-w</a>."},"intvolume":"         8","publication_status":"published","publication_identifier":{"issn":["2397-2106"]},"issue":"1","article_number":"49","language":[{"iso":"eng"}],"_id":"62236","user_id":"7266","department":[{"_id":"35"},{"_id":"302"},{"_id":"321"}],"abstract":[{"lang":"eng","text":"<jats:title>Abstract</jats:title><jats:p>Due to its excellent biocompatibility, pure iron is a very promising implant material, but often features corrosion rates that are too low. Using additive manufacturing and modified powders the microstructure and, thus, the material properties, e.g., the corrosion properties, can be tailored for specific applications. Within the scope of this study, pure iron powder was modified with different amounts of CeO<jats:sub>2</jats:sub> or Fe<jats:sub>2</jats:sub>O<jats:sub>3</jats:sub> nanoparticles and subsequently processed by Electron Beam Powder Bed Fusion (PBF-EB/M). The corrosion-fatigue behavior of CeO<jats:sub>2</jats:sub> and Fe<jats:sub>2</jats:sub>O<jats:sub>3</jats:sub> modified iron was investigated using rotation bending tests under the influence of simulated body fluid (m-SBF). While the modification using Fe<jats:sub>2</jats:sub>O<jats:sub>3</jats:sub> showed reduced fatigue and corrosion-fatigue strengths, it could be demonstrated that the modification with CeO<jats:sub>2</jats:sub> is characterized by improved fatigue properties. The superior fatigue properties in air are attributed to the positive impact of dispersion strengthening. Additionally, an increased degradation rate compared to pure iron could be observed, eventually promoting an earlier failure of the specimens in the corrosion fatigue tests.</jats:p>"}],"status":"public","type":"journal_article","publication":"npj Materials Degradation"},{"year":"2024","intvolume":"        75","page":"1377-1406","citation":{"ama":"Najafi Koopas R, Rezaei S, Rauter N, Ostwald R, Lammering R. Introducing a microstructure-embedded autoencoder approach for reconstructing high-resolution solution field data from a reduced parametric space. <i>Computational Mechanics</i>. 2024;75(4):1377-1406. doi:<a href=\"https://doi.org/10.1007/s00466-024-02568-z\">10.1007/s00466-024-02568-z</a>","ieee":"R. Najafi Koopas, S. Rezaei, N. Rauter, R. Ostwald, and R. Lammering, “Introducing a microstructure-embedded autoencoder approach for reconstructing high-resolution solution field data from a reduced parametric space,” <i>Computational Mechanics</i>, vol. 75, no. 4, pp. 1377–1406, 2024, doi: <a href=\"https://doi.org/10.1007/s00466-024-02568-z\">10.1007/s00466-024-02568-z</a>.","chicago":"Najafi Koopas, Rasoul, Shahed Rezaei, Natalie Rauter, Richard Ostwald, and Rolf Lammering. “Introducing a Microstructure-Embedded Autoencoder Approach for Reconstructing High-Resolution Solution Field Data from a Reduced Parametric Space.” <i>Computational Mechanics</i> 75, no. 4 (2024): 1377–1406. <a href=\"https://doi.org/10.1007/s00466-024-02568-z\">https://doi.org/10.1007/s00466-024-02568-z</a>.","bibtex":"@article{Najafi Koopas_Rezaei_Rauter_Ostwald_Lammering_2024, title={Introducing a microstructure-embedded autoencoder approach for reconstructing high-resolution solution field data from a reduced parametric space}, volume={75}, DOI={<a href=\"https://doi.org/10.1007/s00466-024-02568-z\">10.1007/s00466-024-02568-z</a>}, number={4}, journal={Computational Mechanics}, publisher={Springer Science and Business Media LLC}, author={Najafi Koopas, Rasoul and Rezaei, Shahed and Rauter, Natalie and Ostwald, Richard and Lammering, Rolf}, year={2024}, pages={1377–1406} }","short":"R. Najafi Koopas, S. Rezaei, N. Rauter, R. Ostwald, R. Lammering, Computational Mechanics 75 (2024) 1377–1406.","mla":"Najafi Koopas, Rasoul, et al. “Introducing a Microstructure-Embedded Autoencoder Approach for Reconstructing High-Resolution Solution Field Data from a Reduced Parametric Space.” <i>Computational Mechanics</i>, vol. 75, no. 4, Springer Science and Business Media LLC, 2024, pp. 1377–406, doi:<a href=\"https://doi.org/10.1007/s00466-024-02568-z\">10.1007/s00466-024-02568-z</a>.","apa":"Najafi Koopas, R., Rezaei, S., Rauter, N., Ostwald, R., &#38; Lammering, R. (2024). Introducing a microstructure-embedded autoencoder approach for reconstructing high-resolution solution field data from a reduced parametric space. <i>Computational Mechanics</i>, <i>75</i>(4), 1377–1406. <a href=\"https://doi.org/10.1007/s00466-024-02568-z\">https://doi.org/10.1007/s00466-024-02568-z</a>"},"quality_controlled":"1","publication_identifier":{"issn":["0178-7675","1432-0924"]},"publication_status":"published","issue":"4","title":"Introducing a microstructure-embedded autoencoder approach for reconstructing high-resolution solution field data from a reduced parametric space","doi":"10.1007/s00466-024-02568-z","publisher":"Springer Science and Business Media LLC","date_updated":"2025-12-03T12:51:26Z","volume":75,"date_created":"2025-12-03T12:37:08Z","author":[{"first_name":"Rasoul","full_name":"Najafi Koopas, Rasoul","last_name":"Najafi Koopas"},{"last_name":"Rezaei","full_name":"Rezaei, Shahed","first_name":"Shahed"},{"first_name":"Natalie","last_name":"Rauter","full_name":"Rauter, Natalie"},{"last_name":"Ostwald","orcid":"0000-0003-2147-8444","id":"106876","full_name":"Ostwald, Richard","first_name":"Richard"},{"full_name":"Lammering, Rolf","last_name":"Lammering","first_name":"Rolf"}],"abstract":[{"lang":"eng","text":"<jats:title>Abstract</jats:title>\r\n          <jats:p>In this study, we develop a novel multi-fidelity deep learning approach that transforms low-fidelity solution maps into high-fidelity ones by incorporating parametric space information into an autoencoder architecture. This method’s integration of parametric space information significantly reduces the amount of training data needed to effectively predict high-fidelity solutions from low-fidelity ones. In this study, we examine a two-dimensional steady-state heat transfer analysis within a heterogeneous materials microstructure. The heat conductivity coefficients for two different materials are condensed from a 101 <jats:inline-formula>\r\n              <jats:alternatives>\r\n                <jats:tex-math>$$\\times $$</jats:tex-math>\r\n                <mml:math xmlns:mml=\"http://www.w3.org/1998/Math/MathML\">\r\n                  <mml:mo>×</mml:mo>\r\n                </mml:math>\r\n              </jats:alternatives>\r\n            </jats:inline-formula> 101 grid to smaller grids. We then solve the boundary value problem on the coarsest grid using a pre-trained physics-informed neural operator network known as Finite Operator Learning (FOL). The resulting low-fidelity solution is subsequently upscaled back to a 101 <jats:inline-formula>\r\n              <jats:alternatives>\r\n                <jats:tex-math>$$\\times $$</jats:tex-math>\r\n                <mml:math xmlns:mml=\"http://www.w3.org/1998/Math/MathML\">\r\n                  <mml:mo>×</mml:mo>\r\n                </mml:math>\r\n              </jats:alternatives>\r\n            </jats:inline-formula> 101 grid using a newly designed enhanced autoencoder. The novelty of the developed enhanced autoencoder lies in the concatenation of heat conductivity maps of different resolutions to the decoder segment in distinct steps. Hence the developed algorithm is named microstructure-embedded autoencoder (MEA). We compare the MEA outcomes with those from finite element methods, the standard U-Net, and an interpolation approach as an upscaling technique. Our analysis shows that MEA outperforms these methods in terms of computational efficiency and error on representative test cases. As a result, the MEA serves as a potential supplement to neural operator networks, effectively upscaling low-fidelity solutions to high-fidelity while preserving critical details often lost in traditional upscaling methods, such as sharp interfaces features lost in the context of interpolation approaches.</jats:p>"}],"status":"public","publication":"Computational Mechanics","type":"journal_article","language":[{"iso":"eng"}],"_id":"62767","department":[{"_id":"952"},{"_id":"321"}],"user_id":"85414"},{"issue":"8","publication_status":"published","quality_controlled":"1","publication_identifier":{"issn":["0939-1533","1432-0681"]},"citation":{"ieee":"J. Gerlach <i>et al.</i>, “Enhancing damage prediction in bulk metal forming through machine learning-assisted parameter identification,” <i>Archive of Applied Mechanics</i>, vol. 94, no. 8, pp. 2217–2242, 2024, doi: <a href=\"https://doi.org/10.1007/s00419-024-02634-1\">10.1007/s00419-024-02634-1</a>.","chicago":"Gerlach, Jan, Robin Schulte, Alexander Schowtjak, Till Clausmeyer, Richard Ostwald, A. Erman Tekkaya, and Andreas Menzel. “Enhancing Damage Prediction in Bulk Metal Forming through Machine Learning-Assisted Parameter Identification.” <i>Archive of Applied Mechanics</i> 94, no. 8 (2024): 2217–42. <a href=\"https://doi.org/10.1007/s00419-024-02634-1\">https://doi.org/10.1007/s00419-024-02634-1</a>.","ama":"Gerlach J, Schulte R, Schowtjak A, et al. Enhancing damage prediction in bulk metal forming through machine learning-assisted parameter identification. <i>Archive of Applied Mechanics</i>. 2024;94(8):2217-2242. doi:<a href=\"https://doi.org/10.1007/s00419-024-02634-1\">10.1007/s00419-024-02634-1</a>","bibtex":"@article{Gerlach_Schulte_Schowtjak_Clausmeyer_Ostwald_Tekkaya_Menzel_2024, title={Enhancing damage prediction in bulk metal forming through machine learning-assisted parameter identification}, volume={94}, DOI={<a href=\"https://doi.org/10.1007/s00419-024-02634-1\">10.1007/s00419-024-02634-1</a>}, number={8}, journal={Archive of Applied Mechanics}, publisher={Springer Science and Business Media LLC}, author={Gerlach, Jan and Schulte, Robin and Schowtjak, Alexander and Clausmeyer, Till and Ostwald, Richard and Tekkaya, A. Erman and Menzel, Andreas}, year={2024}, pages={2217–2242} }","mla":"Gerlach, Jan, et al. “Enhancing Damage Prediction in Bulk Metal Forming through Machine Learning-Assisted Parameter Identification.” <i>Archive of Applied Mechanics</i>, vol. 94, no. 8, Springer Science and Business Media LLC, 2024, pp. 2217–42, doi:<a href=\"https://doi.org/10.1007/s00419-024-02634-1\">10.1007/s00419-024-02634-1</a>.","short":"J. Gerlach, R. Schulte, A. Schowtjak, T. Clausmeyer, R. Ostwald, A.E. Tekkaya, A. Menzel, Archive of Applied Mechanics 94 (2024) 2217–2242.","apa":"Gerlach, J., Schulte, R., Schowtjak, A., Clausmeyer, T., Ostwald, R., Tekkaya, A. E., &#38; Menzel, A. (2024). Enhancing damage prediction in bulk metal forming through machine learning-assisted parameter identification. <i>Archive of Applied Mechanics</i>, <i>94</i>(8), 2217–2242. <a href=\"https://doi.org/10.1007/s00419-024-02634-1\">https://doi.org/10.1007/s00419-024-02634-1</a>"},"intvolume":"        94","page":"2217-2242","year":"2024","date_created":"2025-12-03T12:46:31Z","author":[{"first_name":"Jan","last_name":"Gerlach","full_name":"Gerlach, Jan"},{"first_name":"Robin","last_name":"Schulte","full_name":"Schulte, Robin"},{"first_name":"Alexander","last_name":"Schowtjak","full_name":"Schowtjak, Alexander"},{"last_name":"Clausmeyer","full_name":"Clausmeyer, Till","first_name":"Till"},{"orcid":"0000-0003-2147-8444","last_name":"Ostwald","id":"106876","full_name":"Ostwald, Richard","first_name":"Richard"},{"full_name":"Tekkaya, A. Erman","last_name":"Tekkaya","first_name":"A. Erman"},{"full_name":"Menzel, Andreas","last_name":"Menzel","first_name":"Andreas"}],"volume":94,"date_updated":"2025-12-03T12:50:41Z","publisher":"Springer Science and Business Media LLC","doi":"10.1007/s00419-024-02634-1","title":"Enhancing damage prediction in bulk metal forming through machine learning-assisted parameter identification","type":"journal_article","publication":"Archive of Applied Mechanics","status":"public","abstract":[{"lang":"eng","text":"<jats:title>Abstract</jats:title><jats:p>The open-source parameter identification tool ADAPT (A diversely applicable parameter identification Tool) is integrated with a machine learning-based approach for start value prediction in order to calibrate a Gurson–Tvergaard–Needleman (GTN) and a Lemaitre damage model. As representative example case-hardened steel 16MnCrS5 is elaborated. An artificial neural network (ANN) is initially trained by using load–displacement curves derived from simulations of a boundary value problem—instead of using data generated for homogeneous states of deformation at material point or one-element level—with varying material parameter combinations. The ANN is then employed so as to predict sets of material parameters that already provide close solutions to the experiment. These predicted parameter sets serve as starting values for a subsequent multi-objective parameter identification by using ADAPT. ADAPT allows for the consideration of input data from multiple scales, including integral data such as load–displacement curves, full-field data such as displacement and strain fields, and high-resolution experimental void data at the micro-scale. The influence of each data set on prediction quality is analyzed. Using various types of input data introduces additional information, enhancing prediction accuracy. The validation is carried out with respect to experimental void measurements of forward rod extruded parts. The results demonstrate, by incorporating void measurements in the optimization process, that it is possible to improve the quantitative prediction of ductile damage in the sense of void area fractions by factor 28 in forward rod extrusion.</jats:p>"}],"user_id":"85414","department":[{"_id":"952"},{"_id":"321"}],"_id":"62770","language":[{"iso":"eng"}]},{"type":"journal_article","publication":"Engineering Fracture Mechanics","status":"public","_id":"62768","user_id":"85414","department":[{"_id":"952"},{"_id":"321"}],"article_number":"110675","language":[{"iso":"eng"}],"publication_status":"published","quality_controlled":"1","publication_identifier":{"issn":["0013-7944"]},"year":"2024","citation":{"apa":"Najafi Koopas, R., Rezaei, S., Rauter, N., Ostwald, R., &#38; Lammering, R. (2024). A spatiotemporal deep learning framework for prediction of crack dynamics in heterogeneous solids: Efficient mapping of concrete microstructures to its fracture properties. <i>Engineering Fracture Mechanics</i>, <i>314</i>, Article 110675. <a href=\"https://doi.org/10.1016/j.engfracmech.2024.110675\">https://doi.org/10.1016/j.engfracmech.2024.110675</a>","mla":"Najafi Koopas, Rasoul, et al. “A Spatiotemporal Deep Learning Framework for Prediction of Crack Dynamics in Heterogeneous Solids: Efficient Mapping of Concrete Microstructures to Its Fracture Properties.” <i>Engineering Fracture Mechanics</i>, vol. 314, 110675, Elsevier BV, 2024, doi:<a href=\"https://doi.org/10.1016/j.engfracmech.2024.110675\">10.1016/j.engfracmech.2024.110675</a>.","short":"R. Najafi Koopas, S. Rezaei, N. Rauter, R. Ostwald, R. Lammering, Engineering Fracture Mechanics 314 (2024).","bibtex":"@article{Najafi Koopas_Rezaei_Rauter_Ostwald_Lammering_2024, title={A spatiotemporal deep learning framework for prediction of crack dynamics in heterogeneous solids: Efficient mapping of concrete microstructures to its fracture properties}, volume={314}, DOI={<a href=\"https://doi.org/10.1016/j.engfracmech.2024.110675\">10.1016/j.engfracmech.2024.110675</a>}, number={110675}, journal={Engineering Fracture Mechanics}, publisher={Elsevier BV}, author={Najafi Koopas, Rasoul and Rezaei, Shahed and Rauter, Natalie and Ostwald, Richard and Lammering, Rolf}, year={2024} }","ieee":"R. Najafi Koopas, S. Rezaei, N. Rauter, R. Ostwald, and R. Lammering, “A spatiotemporal deep learning framework for prediction of crack dynamics in heterogeneous solids: Efficient mapping of concrete microstructures to its fracture properties,” <i>Engineering Fracture Mechanics</i>, vol. 314, Art. no. 110675, 2024, doi: <a href=\"https://doi.org/10.1016/j.engfracmech.2024.110675\">10.1016/j.engfracmech.2024.110675</a>.","chicago":"Najafi Koopas, Rasoul, Shahed Rezaei, Natalie Rauter, Richard Ostwald, and Rolf Lammering. “A Spatiotemporal Deep Learning Framework for Prediction of Crack Dynamics in Heterogeneous Solids: Efficient Mapping of Concrete Microstructures to Its Fracture Properties.” <i>Engineering Fracture Mechanics</i> 314 (2024). <a href=\"https://doi.org/10.1016/j.engfracmech.2024.110675\">https://doi.org/10.1016/j.engfracmech.2024.110675</a>.","ama":"Najafi Koopas R, Rezaei S, Rauter N, Ostwald R, Lammering R. A spatiotemporal deep learning framework for prediction of crack dynamics in heterogeneous solids: Efficient mapping of concrete microstructures to its fracture properties. <i>Engineering Fracture Mechanics</i>. 2024;314. doi:<a href=\"https://doi.org/10.1016/j.engfracmech.2024.110675\">10.1016/j.engfracmech.2024.110675</a>"},"intvolume":"       314","date_updated":"2025-12-03T12:51:12Z","publisher":"Elsevier BV","author":[{"full_name":"Najafi Koopas, Rasoul","last_name":"Najafi Koopas","first_name":"Rasoul"},{"first_name":"Shahed","last_name":"Rezaei","full_name":"Rezaei, Shahed"},{"first_name":"Natalie","last_name":"Rauter","full_name":"Rauter, Natalie"},{"first_name":"Richard","last_name":"Ostwald","orcid":"0000-0003-2147-8444","id":"106876","full_name":"Ostwald, Richard"},{"last_name":"Lammering","full_name":"Lammering, Rolf","first_name":"Rolf"}],"date_created":"2025-12-03T12:40:42Z","volume":314,"title":"A spatiotemporal deep learning framework for prediction of crack dynamics in heterogeneous solids: Efficient mapping of concrete microstructures to its fracture properties","doi":"10.1016/j.engfracmech.2024.110675"},{"type":"preprint","publication":"United States Association for Energy Economics (USAEE) & International Association for Energy Economics (IAEE) Research Paper Series","status":"public","_id":"56289","external_id":{"unknown":["https://dx.doi.org/10.2139/ssrn.4966589"]},"user_id":"103302","department":[{"_id":"876"},{"_id":"9"},{"_id":"393"},{"_id":"321"}],"language":[{"iso":"eng"}],"publication_status":"published","year":"2024","citation":{"bibtex":"@article{Seeger_Genovese_Schlüter_Kockel_Corigliano_Díaz Canales_Fragiacomo_Praktiknjo_2024, title={Evaluating Supply Scenarios for Hydrogen and Green Fuels from Canada, Chile, and Algeria to Germany via a Techno-Economic Assessment}, journal={United States Association for Energy Economics (USAEE) &#38; International Association for Energy Economics (IAEE) Research Paper Series}, publisher={Elsevier BV}, author={Seeger, Karl and Genovese, Matteo and Schlüter, Alexander and Kockel, Christina and Corigliano, Orlando and Díaz Canales, Edith Benjamina and Fragiacomo, Petronilla and Praktiknjo, Aaron}, year={2024} }","mla":"Seeger, Karl, et al. “Evaluating Supply Scenarios for Hydrogen and Green Fuels from Canada, Chile, and Algeria to Germany via a Techno-Economic Assessment.” <i>United States Association for Energy Economics (USAEE) &#38; International Association for Energy Economics (IAEE) Research Paper Series</i>, Elsevier BV, 2024.","short":"K. Seeger, M. Genovese, A. Schlüter, C. Kockel, O. Corigliano, E.B. Díaz Canales, P. Fragiacomo, A. Praktiknjo, United States Association for Energy Economics (USAEE) &#38; International Association for Energy Economics (IAEE) Research Paper Series (2024).","apa":"Seeger, K., Genovese, M., Schlüter, A., Kockel, C., Corigliano, O., Díaz Canales, E. B., Fragiacomo, P., &#38; Praktiknjo, A. (2024). Evaluating Supply Scenarios for Hydrogen and Green Fuels from Canada, Chile, and Algeria to Germany via a Techno-Economic Assessment. In <i>United States Association for Energy Economics (USAEE) &#38; International Association for Energy Economics (IAEE) Research Paper Series</i>. Elsevier BV.","ama":"Seeger K, Genovese M, Schlüter A, et al. Evaluating Supply Scenarios for Hydrogen and Green Fuels from Canada, Chile, and Algeria to Germany via a Techno-Economic Assessment. <i>United States Association for Energy Economics (USAEE) &#38; International Association for Energy Economics (IAEE) Research Paper Series</i>. Published online 2024.","chicago":"Seeger, Karl, Matteo Genovese, Alexander Schlüter, Christina Kockel, Orlando Corigliano, Edith Benjamina Díaz Canales, Petronilla Fragiacomo, and Aaron Praktiknjo. “Evaluating Supply Scenarios for Hydrogen and Green Fuels from Canada, Chile, and Algeria to Germany via a Techno-Economic Assessment.” <i>United States Association for Energy Economics (USAEE) &#38; International Association for Energy Economics (IAEE) Research Paper Series</i>. Elsevier BV, 2024.","ieee":"K. Seeger <i>et al.</i>, “Evaluating Supply Scenarios for Hydrogen and Green Fuels from Canada, Chile, and Algeria to Germany via a Techno-Economic Assessment,” <i>United States Association for Energy Economics (USAEE) &#38; International Association for Energy Economics (IAEE) Research Paper Series</i>. Elsevier BV, 2024."},"oa":"1","date_updated":"2026-01-06T08:00:25Z","publisher":"Elsevier BV","author":[{"last_name":"Seeger","full_name":"Seeger, Karl","first_name":"Karl"},{"last_name":"Genovese","full_name":"Genovese, Matteo","first_name":"Matteo"},{"id":"103302","full_name":"Schlüter, Alexander","orcid":"0000-0002-2569-1624","last_name":"Schlüter","first_name":"Alexander"},{"full_name":"Kockel, Christina","last_name":"Kockel","first_name":"Christina"},{"full_name":"Corigliano, Orlando","last_name":"Corigliano","first_name":"Orlando"},{"first_name":"Edith Benjamina","id":"105704","full_name":"Díaz Canales, Edith Benjamina","last_name":"Díaz Canales","orcid":"0009-0007-2748-0074"},{"first_name":"Petronilla","full_name":"Fragiacomo, Petronilla","last_name":"Fragiacomo"},{"full_name":"Praktiknjo, Aaron","last_name":"Praktiknjo","first_name":"Aaron"}],"date_created":"2024-10-01T09:34:06Z","title":"Evaluating Supply Scenarios for Hydrogen and Green Fuels from Canada, Chile, and Algeria to Germany via a Techno-Economic Assessment","main_file_link":[{"open_access":"1","url":"https://dx.doi.org/10.2139/ssrn.4966589"}]}]