Suppr超能文献

Cold Rolling Texture Prediction Using Finite Element Simulation with Zooming Analysis.

作者信息

Wang Honghao, Ding Sheng, Taylor Tom, Yanagimoto Jun

机构信息

Department of Mechanical Engineering, The University of Tokyo, Hongo 7-3-1, Bunkyo, Tokyo 113-8656, Japan.

出版信息

Materials (Basel). 2021 Nov 16;14(22):6909. doi: 10.3390/ma14226909.

Abstract

Cold rolling is widely employed in the manufacturing industry for the production of metal plates. In the cold rolling process, the thickness reduction of the metal plate under the recrystallization temperature generates severe anisotropy; this influences the subsequent forming processes. Therefore, the generation and prediction of metal plate anisotropy during cold rolling is a highly interesting research topic involving upstream studies of sheet metal forming. In this study, using the finite element method with zooming analysis, we established an efficient elastic-plastic analysis method to predict the metal plate texture after cold rolling. This method for cold rolling texture prediction was confirmed by comparing the experimental and simulation results of cold rolling for an S45C plate with a body-centered cubic lattice. Further, the numerical analysis method proposed in this study can contribute to the study of anisotropy as an alternative to experimental approaches.

摘要
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7254/8619451/b0a9561f6e7b/materials-14-06909-g0A1.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验