2021
Dornheim, J.; Morand, L.; Zeitvogel, S.; Iraki,T.; Link, N.; Helm, D., Deep reinforcement learning methods for structure-guided processing path optimization, Journal of Intelligent Manufacturing 33 (2022) 333-352 Link
Heese, R.; Morand, L.; Helm, D.; Bortz, M., CupNet – pruning a network for geometric data, Artificial Neural Networks and Machine Learning – ICANN 2021, Proc. Part IV; Lecture Notes in Computer Science LNCS Vol. 12894; Farkaš, I.; Masulli, P.; Otte, S.; Wermter, S. (Eds.); Springer Nature Switzerland AG, Cahm, Switzerland (2021) 29-33 Link
Trân, R.; Kertsch, L.; Marx, S.; Hebbar, S.; Psyk, V.; Butz, A., Toward an efficient industrial implementation of W-temper forming for 7xxx series Al alloys, Forming The Future; The Minerals, Metals & Materials Series (MMMS); Daehn, G.; Cao, J.; Kinsey, B.; Tekkaya, E.; Vivek, A.; Yoshida, Y. (Eds.); Springer, Cham, Schweiz (2021) 935-947 Link
Uppaluri, R.; Helm, D., A convex fourth order yield function for orthotropic metal plasticity, European Journal of Mechanics - A/Solids 87 (2021) Art. 104196; 17 pp. Link
von Kurnatowski, M.; Schmid, J.; Link, P.; Zache, R.; Morand, L.; Kraft, T.; Schmidt, I.; Schwientek, J.; Stoll, A., Compensating data shortages in manufacturing with monotonicity knowledge, Algorithms 14/12 (2021) Art. 345, 18 pp. Link
Wessel, A.; Morand, L.; Butz, A.; Helm, D.; Volk, W., A new machine learning based method for sampling virtual experiments and its effect on the parameter identification for anisotropic yield models, IOP Conference Series: Materials Science and Engineering Vol. 1157, 40th International Deep-Drawing Research Group Conference IDDRG 2021; Liewald, M.; Karadogan, C. (Eds.); IOP Publishing Ltd, Bristol, UK (2021) Art. 012026, 9 pp. Link
Willmann, T.; Wessel, A.; Beier, T.; Butz, A.; Bischoff, M.; Cross-sectional warping in sheet metal forming simulations, in Proc. of 13th European LS-DYNA Conference 2021; DYNAmore GmbH, Stuttgart (2021) Art. 087, 8 pp. Link
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