Consideration of Bauschinger effect based on a reduced texture approach for improved springback prediction with computational efficiency

IF 3.2 3区 工程技术 Q2 ENGINEERING, INDUSTRIAL
Donghwan Noh , Jeong Whan Yoon (2)
{"title":"Consideration of Bauschinger effect based on a reduced texture approach for improved springback prediction with computational efficiency","authors":"Donghwan Noh ,&nbsp;Jeong Whan Yoon (2)","doi":"10.1016/j.cirp.2025.03.022","DOIUrl":null,"url":null,"abstract":"<div><div>This study introduces a reduced texture approach to efficiently describe the plastic behavior of AA6022-T43. By reducing the number of orientations in Finite Element (FE) analyses, the reduced texture approach improves computational efficiency while accurately predicting plastic responses. The approach calibrates a small number of crystallographic orientations using mechanical test results. By incorporating a kinematic hardening model, it captures Bauschinger effect, transient behavior, and permanent softening. Its predictive accuracy is also validated in springback, a critical challenge in sheet metal forming. The results confirm its potential as a computationally efficient alternative to continuum models for large scale engineering problems.</div></div>","PeriodicalId":55256,"journal":{"name":"Cirp Annals-Manufacturing Technology","volume":"74 1","pages":"Pages 351-355"},"PeriodicalIF":3.2000,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Cirp Annals-Manufacturing Technology","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0007850625000216","RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ENGINEERING, INDUSTRIAL","Score":null,"Total":0}
引用次数: 0

Abstract

This study introduces a reduced texture approach to efficiently describe the plastic behavior of AA6022-T43. By reducing the number of orientations in Finite Element (FE) analyses, the reduced texture approach improves computational efficiency while accurately predicting plastic responses. The approach calibrates a small number of crystallographic orientations using mechanical test results. By incorporating a kinematic hardening model, it captures Bauschinger effect, transient behavior, and permanent softening. Its predictive accuracy is also validated in springback, a critical challenge in sheet metal forming. The results confirm its potential as a computationally efficient alternative to continuum models for large scale engineering problems.
考虑包辛格效应的简化织构法提高回弹预测的计算效率
本研究引入了一种简化织构的方法来有效描述AA6022-T43的塑性行为。通过减少有限元分析中的取向数,减少织构法在准确预测塑性响应的同时提高了计算效率。该方法使用力学测试结果校准少量晶体取向。通过结合一个运动硬化模型,它捕获包辛格效应,瞬态行为和永久软化。它的预测精度在回弹中也得到了验证,回弹是钣金成形中的一个关键挑战。结果证实了它作为大规模工程问题连续统模型的计算效率替代方案的潜力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
Cirp Annals-Manufacturing Technology
Cirp Annals-Manufacturing Technology 工程技术-工程:工业
CiteScore
7.50
自引率
9.80%
发文量
137
审稿时长
13.5 months
期刊介绍: CIRP, The International Academy for Production Engineering, was founded in 1951 to promote, by scientific research, the development of all aspects of manufacturing technology covering the optimization, control and management of processes, machines and systems. This biannual ISI cited journal contains approximately 140 refereed technical and keynote papers. Subject areas covered include: Assembly, Cutting, Design, Electro-Physical and Chemical Processes, Forming, Abrasive processes, Surfaces, Machines, Production Systems and Organizations, Precision Engineering and Metrology, Life-Cycle Engineering, Microsystems Technology (MST), Nanotechnology.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信