期刊论文详细信息
Songklanakarin Journal of Science and Technology (SJST)
Identification of material parameters for springback prediction using cyclic tension–compression test
Vitoon Uthaisangsuk1  Surasak Suranuntchai2  Bunyong Chongthairungruang2  Thaweesak Phongsai2  Weerapong Julsri2  Suwat Jirathearanat3 
[1] Department of Mechanical Engineering Faculty of Engineering, King Mongkut’s University of Technology Thonburi, Thung Khru, Bangkok, 10140 Thailand.;Department of Tool and Materials Engineering, Faculty of Engineering, King Mongkut’s University of Technology Thonburi, Thung Khru, Bangkok, 10140 Thailand.;National Metal and Materials Technology Centre, National Science and Technology Development Agency Khlong Luang, Pathum Thani, 12120 Thailand.;
关键词: high strength steel;    springback;    Yoshida-Uemori model;    material parameters Songklanakarin J. Sci. Technol. 38 (5);    485-493;    Sep. - Oct. 2016 1. Introduction At present;    production of automotive components have become very high competitive. Thus;    part manufacturers require shorter time for developing dies. Besides;    more accurate methods are needed in order to improve the quality of produced parts. For current automotive parts;    advanced high strength (AHS) steel grades have been continuously introduced and employed so that both lightweight and higher strength characteristics are fulfilled. However;    one great challenge of AHS steels in the forming process is the springback effect. It;    material parameters;   
DOI  :  10.14456/sjst-psu.2016.64
来源: DOAJ
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