Analysis of characteristic prediction of aluminized boron steel after the hot stamping process using an image color-based neural network
Author:
Publisher
Springer Science and Business Media LLC
Subject
Industrial and Manufacturing Engineering,Computer Science Applications,Mechanical Engineering,Software,Control and Systems Engineering
Link
https://link.springer.com/content/pdf/10.1007/s00170-023-12477-9.pdf
Reference37 articles.
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2. Kim K-J, Han C-P, Lim J-H et al (2012) Light-weight design and simulation of automotive rear bumper impact beam using boron steels. Trans Kor Soc Auto Eng 20:98–102. https://doi.org/10.7467/ksae.2012.20.2.098
3. Bok H-H, Lee M-G, Kim H-D, Moon M-B (2010) Thermo-mechanical finite element analysis incorporating the temperature dependent stress-strain response of low alloy steel for practical application to the hot stamped part. Met Mater Int 16:185–195. https://doi.org/10.1007/s12540-010-0405-0
4. Ma BL, Wan M, Wu XD et al (2017) Investigation on forming limit of advanced high strength steels (AHSS) under hot stamping conditions. J Manuf Processes 30:320–327. https://doi.org/10.1016/j.jmapro.2017.10.001
5. Yoon SC, Kim DH (2013) Analysis of phase transformation and temperature history during hot stamping using the finite element method. Trans Mater Process 22:123–132. https://doi.org/10.5228/kstp.2013.22.3.123
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