Citations
Citations:
B-98. Eren Billur and Adem Karşı, “Multi-Level Material Cards for Sheet Metal Forming Simulations,” Great Designs in Steel 2022, Sponsored by American Iron and Steel Institute; https://www.steel.org/wp-content/uploads/2022/06/Track-1-Session-10-Billur-Billur-Metal-Forming.pdf
Citations
Citations:
K-72. Kidambi Kannan, “Characterization of 3rd Gen AHSS Towards Reliable Forming And Springback,” 2022 Great Designs in Steel Symposium sponsored by AISI; https://www.steel.org/wp-content/uploads/2022/06/Track-2-Session-7-Kannan-AutoForm-Engineering.pdf
Citations
Citations:
L-78. Zhang Liu, Yong Hou, Rui He, You Ye, Chao Niu, and Junying Min, “Machine learning for extending capability of mechanical characterization to improve springback prediction of a quenching and partitioning steel,” Journal of Materials Processing Technology, Volume 308, October 2022, 117737; https://doi.org/10.1016/j.jmatprotec.2022.117737
Citations
Citations:
Y-16. T. Yasutomi, R. Nishimura, S. Yonemura, M. Nakata, T. Yoshida, and M. Mizumura, “Shearing Technology for High-tensile-strength Steel,” Nippon Steel Technical Report, No.122 (2019), pp.28-34; https://www.nipponsteel.com/en/tech/report/pdf/122-06.pdf