[{"status":"public","user_id":"82875","volume":54,"publisher":"Materials Research Forum LLC","_id":"62022","citation":{"short":"L. Kersting, S.K. Gunasagran, B. Arian, J. Rozo Vaszquez, A. Trächtler, W. Homberg, F. Walther, in: Materials Research Proceedings, Materials Research Forum LLC, 2025.","ama":"Kersting L, Gunasagran SK, Arian B, et al. Real-time modelling of incremental multi-pass flow forming by a hybrid, data-based model. In: <i>Materials Research Proceedings</i>. Vol 54. Materials Research Forum LLC; 2025. doi:<a href=\"https://doi.org/10.21741/9781644903599-140\">10.21741/9781644903599-140</a>","chicago":"Kersting, Lukas, Sharin Kumar Gunasagran, Bahman Arian, Julian Rozo Vaszquez, Ansgar Trächtler, Werner Homberg, and Frank Walther. “Real-Time Modelling of Incremental Multi-Pass Flow Forming by a Hybrid, Data-Based Model.” In <i>Materials Research Proceedings</i>, Vol. 54. Materials Research Forum LLC, 2025. <a href=\"https://doi.org/10.21741/9781644903599-140\">https://doi.org/10.21741/9781644903599-140</a>.","bibtex":"@inproceedings{Kersting_Gunasagran_Arian_Rozo Vaszquez_Trächtler_Homberg_Walther_2025, title={Real-time modelling of incremental multi-pass flow forming by a hybrid, data-based model}, volume={54}, DOI={<a href=\"https://doi.org/10.21741/9781644903599-140\">10.21741/9781644903599-140</a>}, booktitle={Materials Research Proceedings}, publisher={Materials Research Forum LLC}, author={Kersting, Lukas and Gunasagran, Sharin Kumar and Arian, Bahman and Rozo Vaszquez, Julian and Trächtler, Ansgar and Homberg, Werner and Walther, Frank}, year={2025} }","mla":"Kersting, Lukas, et al. “Real-Time Modelling of Incremental Multi-Pass Flow Forming by a Hybrid, Data-Based Model.” <i>Materials Research Proceedings</i>, vol. 54, Materials Research Forum LLC, 2025, doi:<a href=\"https://doi.org/10.21741/9781644903599-140\">10.21741/9781644903599-140</a>.","apa":"Kersting, L., Gunasagran, S. K., Arian, B., Rozo Vaszquez, J., Trächtler, A., Homberg, W., &#38; Walther, F. (2025). Real-time modelling of incremental multi-pass flow forming by a hybrid, data-based model. <i>Materials Research Proceedings</i>, <i>54</i>. <a href=\"https://doi.org/10.21741/9781644903599-140\">https://doi.org/10.21741/9781644903599-140</a>","ieee":"L. Kersting <i>et al.</i>, “Real-time modelling of incremental multi-pass flow forming by a hybrid, data-based model,” in <i>Materials Research Proceedings</i>, 2025, vol. 54, doi: <a href=\"https://doi.org/10.21741/9781644903599-140\">10.21741/9781644903599-140</a>."},"oa":"1","date_updated":"2025-10-30T12:53:36Z","publication_status":"published","intvolume":"        54","title":"Real-time modelling of incremental multi-pass flow forming by a hybrid, data-based model","year":"2025","publication_identifier":{"issn":["2474-395X"]},"author":[{"first_name":"Lukas","last_name":"Kersting","full_name":"Kersting, Lukas"},{"full_name":"Gunasagran, Sharin Kumar","first_name":"Sharin Kumar","last_name":"Gunasagran"},{"id":"36287","full_name":"Arian, Bahman","first_name":"Bahman","last_name":"Arian"},{"full_name":"Rozo Vaszquez, Julian","first_name":"Julian","last_name":"Rozo Vaszquez"},{"id":"552","full_name":"Trächtler, Ansgar","last_name":"Trächtler","first_name":"Ansgar"},{"last_name":"Homberg","first_name":"Werner","full_name":"Homberg, Werner","id":"233"},{"full_name":"Walther, Frank","last_name":"Walther","first_name":"Frank"}],"doi":"10.21741/9781644903599-140","main_file_link":[{"url":"https://doi.org/10.21741/9781644903599-140 ","open_access":"1"}],"language":[{"iso":"eng"}],"abstract":[{"text":"<jats:p>Abstract. The incremental flow forming process features a large number of process parameter combinations that can be varied from pass to pass or during a pass. In the future however, a more efficient utilization of this large number of process parameter combinations and a compensation of process disturbances could be required. This is due to a rising demand for increasing the part complexity, e.g. by graded property structures or a more complex geometry. In this context, innovative approaches like closed-loop property control and optimal control are advantageous, but require fast process models of flow forming that are not state of the art. This paper thus proposes a new modelling approach of multi-pass flow forming especially taking the transfer behavior between process parameters and wall thickness evolution from pass to pass into focus. A hybrid modelling approach is developed that combines knowledge about the incremental process character with empirical data regression to a basic analytic relation. The basic relation is further extended by a multi-layer neural network to enhance the overall model accuracy. This hybrid modelling approach is finally validated using experimental data. Thus, it is shown that a suitable model structure was found in context of a future closed-loop control or optimal control for multi-pass flow forming.</jats:p>","lang":"eng"}],"publication":"Materials Research Proceedings","type":"conference","department":[{"_id":"153"},{"_id":"241"},{"_id":"156"}],"date_created":"2025-10-30T12:16:37Z"}]