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Title:Optimization on hot stamping process of S-beam performance gradient based on Kriging model
Authors: Xing Weixin Tang Bingtao Liu Jiyuan Guo Ning 
Unit: Qilu University of Technology (Shandong Academy of Sciences) 
KeyWords: hot stamping  temperature partition  tensile strength  elongation performance gradient 
ClassificationCode:TG156
year,vol(issue):pagenumber:2020,45(9):57-63
Abstract:

The heating device is used to partition the temperature of the hot stamping mold to make the different areas of a part have different cooling rates and finally obtain a method of the same hot stamping part with gradient performance, which is an effective hot stamping process. Then, for the S-beam, based on the modeFrontier optimization platform and the multi-objective genetic algorithm of Kriging model, taking the mold initial temperature, the sheet initial temperature and the time of pressure maintaining as input variables and the final temperature of sheet, the sheet thickness and the thinning rate as objective functions, the optimization process was conducted by Ls-dyna simulation software, and the reasonable and effective process parameters were obtained with the initial temperature for B1500HS boron steel of 900 ℃, the punch initial temperature of 500 ℃ in heating zone, the die initial temperature of 520 ℃ in heating zone, the punch and die initial temperature of 30 ℃ in non-heating zone and the time of pressure maintaining for 5 s. Finally, the optimized process parameters were used to simulate the performance gradient distribution of hot stamping process, and the reliability of optimization results was verified.

Funds:
国家自然科学基金资助项目(51875295);济南市“高校20条”资助项目(2018GXRC026);齐鲁工业大学(山东省科学院)青年博士合作基金项目(2017BSHZ002);辽宁省自然科学基金资助计划(2019-KF-25-03);山东省科学院重大创新专项
AuthorIntro:
邢伟鑫(1992-),男,硕士研究生 E-mail:564411898@qq.com 通讯作者:唐炳涛(1976-),男,博士,教授 E-mail:13626409179@163.com
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