Simulations of Texture Evolution in the Near-Surface Region During Aluminum Rolling

Elisa Cantergiani, Michael Riedel, Kai F. Karhausen, Franz Roters, Angela Quadfasel, Georg Falkinger, Olaf Engler, Rajeevan Rabindran
{"title":"Simulations of Texture Evolution in the Near-Surface Region During Aluminum Rolling","authors":"Elisa Cantergiani, Michael Riedel, Kai F. Karhausen, Franz Roters, Angela Quadfasel, Georg Falkinger, Olaf Engler, Rajeevan Rabindran","doi":"10.1007/s11661-024-07472-y","DOIUrl":null,"url":null,"abstract":"<p>Prediction of texture changes during cold rolling is important because they affect the recrystallization and anisotropy of an aluminum sheet during successive forming steps. During cold rolling of aluminum alloys, the through-thickness textural change in the subsurface layer depends heavily on the shear stresses exerted on the material. The intensity of this shear stress is determined by the value of and change in the coefficient of friction as the contact length between the rolls and metallic sheet changes. The quality of the texture prediction under constant and variable coefficients of friction are assessed for three established texture models: the grain interaction (GIA) model, the viscoplastic self-consistent (VPSC) approach, and the full-field crystal plasticity Düsseldorf Advanced Material Simulation Kit (DAMASK) code. The simulation results are compared with subsurface layer textures obtained from conducting experimental cold-rolling trials on an aluminum alloy, which are designed to maximize shear in a single rolling pass. The formulation of a variable coefficient of friction is crucial for ensuring both the reasonable prediction of rolling forces and changes in texture. GIA and DAMASK yield the best texture prediction results for a variable coefficient of friction model.</p>","PeriodicalId":18504,"journal":{"name":"Metallurgical and Materials Transactions A","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2024-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Metallurgical and Materials Transactions A","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1007/s11661-024-07472-y","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

Prediction of texture changes during cold rolling is important because they affect the recrystallization and anisotropy of an aluminum sheet during successive forming steps. During cold rolling of aluminum alloys, the through-thickness textural change in the subsurface layer depends heavily on the shear stresses exerted on the material. The intensity of this shear stress is determined by the value of and change in the coefficient of friction as the contact length between the rolls and metallic sheet changes. The quality of the texture prediction under constant and variable coefficients of friction are assessed for three established texture models: the grain interaction (GIA) model, the viscoplastic self-consistent (VPSC) approach, and the full-field crystal plasticity Düsseldorf Advanced Material Simulation Kit (DAMASK) code. The simulation results are compared with subsurface layer textures obtained from conducting experimental cold-rolling trials on an aluminum alloy, which are designed to maximize shear in a single rolling pass. The formulation of a variable coefficient of friction is crucial for ensuring both the reasonable prediction of rolling forces and changes in texture. GIA and DAMASK yield the best texture prediction results for a variable coefficient of friction model.

Abstract Image

模拟铝材轧制过程中近表面区域的纹理演变
预测冷轧过程中的纹理变化非常重要,因为它们会影响铝板在连续成型步骤中的再结晶和各向异性。在铝合金冷轧过程中,次表层的通厚纹理变化在很大程度上取决于施加在材料上的剪应力。这种剪应力的强度取决于轧辊和金属板之间接触长度变化时摩擦系数的值和变化。在摩擦系数恒定和可变的情况下,对三种已建立的纹理模型的纹理预测质量进行了评估:晶粒相互作用(GIA)模型、粘塑自洽(VPSC)方法和全场晶体塑性杜塞尔多夫先进材料模拟工具包(DAMASK)代码。模拟结果与铝合金冷轧试验中获得的次表层纹理进行了比较,冷轧试验的目的是在单次轧制中获得最大剪切力。制定可变摩擦系数对于确保合理预测轧制力和纹理变化至关重要。对于可变摩擦系数模型,GIA 和 DAMASK 得出的纹理预测结果最好。
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
自引率
0.00%
发文量
0
×
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:481959085
Book学术官方微信