KNN-Entwicklung in der Halbwarmumformung/ANN development in semi-hot forming
Table of contents
Bibliographic information
Open Access Full access
wt Werkstattstechnik online
Volume 113 (2023), Edition 10
- Authors:
- Publisher
- VDI fachmedien, Düsseldorf
- Copyright year
- 2023
- ISSN-Online
- 1436-4980
- ISSN-Print
- 1436-4980
Chapter information
Open Access Full access
Volume 113 (2023), Edition 10
KNN-Entwicklung in der Halbwarmumformung/ANN development in semi-hot forming
- Authors:
- ISSN-Print
- 1436-4980
- ISSN-Online
- 1436-4980
- Preview:
Bibliography
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- [1] Lin, J.; Bao, X.; Hou, Y. et al.: Investigation on Yield Behavior of 7075-T6 Aluminum Alloy at Elevated Temperatures. Chinese Journal of Mechanical Engineering 33 (2020) 1, p. 76 Open Google Scholar doi.org/10.37544/1436-4980-2023-10-29
- [2] Pandya, K. S.; Roth, C. C.; Mohr, D.: Strain Rate and Temperature Dependent Plastic Response of AA7075 during Hot Forming. IOP Conference Series: Materials Science and Engineering 651 (2019) 1, p. 12100 Open Google Scholar doi.org/10.37544/1436-4980-2023-10-29
- [3] Kohar, C. P.; Greve, L.; Eller, T. K. et al.: A machine learning framework for accelerating the design process using CAE simulations: An application to finite element analysis in structural crashworthiness. Computer Methods in Applied Mechanics and Engineering 385 (2021), #114008 Open Google Scholar doi.org/10.37544/1436-4980-2023-10-29
- [4] Maysam B. G.; Dirk M.: Towards neural network models for describing the large deformation behavior of sheet metal. IOP Conference Series: Materials Science and Engineering 651 (2019) 1, #12102 Open Google Scholar doi.org/10.37544/1436-4980-2023-10-29
- [5] Decke, J.; Engelhardt, A.; Rauch, L. et al.: Predicting Flow Stress Behavior of an AA7075 Alloy Using Machine Learning Methods. Crystals 12 (2022) 9, doi.org/10.17170/kobra-202304217875 Open Google Scholar doi.org/10.37544/1436-4980-2023-10-29
- [6] Lin, Y. C.; Zhang, J.; Zhong, J.: Application of neural networks to predict the elevated temperature flow behavior of a low alloy steel. Computational Materials Science 43 (2008) 4, pp. 752–758 Open Google Scholar doi.org/10.37544/1436-4980-2023-10-29
- [7] Kingma, D. P.; Ba, J.: Adam: A method for stochastic optimization. arXiv preprint arXiv:1412 (2014), #6980, doi.org/10.48550/arXiv.1412.6980 Open Google Scholar doi.org/10.37544/1436-4980-2023-10-29
- [8] Behrens, B.-A.; Vogt, H.; Jalanesh, D. M. et al.: Warmumformung von 7xxx-Aluminiumlegierungen. EFB-Forschungsbericht Nr. 501. Stand: 2018. Internet: www.gbv.de/dms/tib-ub-hannover/1049514572.pdf. Zugriff am 22.09.2023 Open Google Scholar doi.org/10.37544/1436-4980-2023-10-29
- [9] Wangtu H.; Longgang H.; Yusheng Z. et al.: Warm formability and post-forming microstructure/property of high-strength AA 7075-T6 Al alloy. Materials Science and Engineering: A 675 (2016), pp. 44–54 Open Google Scholar doi.org/10.37544/1436-4980-2023-10-29