A computational approach to restoration phenomena during annealing of rolled Cu-2Be: recrystallization, grain growth and abnormal grain growth

Author:

Kalaki A,Vafaeenezhad HORCID,Mirahmadi D,Hirsch J

Abstract

Abstract In this study, an integrated paradigm was developed for the simulation of static recrystallization (SRX) after cold rolling of a Cu-2Be alloy. The proposed framework also models with the normal and abnormal grain growth (AGG) of the after transient recrystallization through post-rolling annealing when stored and interfacial energies are varying. The simulation of AGG was done to study the influence of precipitates and sub-boundaries. The initial stored energy as a result of deformation was calculated. The finite element analysis was used to compute the heterogeneous distribution of stored energy due to heterogeneous deformation and is then incorporated to Monte Carlo (MC) algorithm to attain SRX grain size and kinetics. The stored energy assigned to the as-rolled grain micrograph is introduced to the MC simulation as the initial condition considering the size-scale of the calculation domain. The effects of the Zener drag pressure stemming from the presence of second phase particles on the recrystallization progress was also incorporated into the MC model. To evaluate the simulation predictions, the numerical results of the SRX fractions and grain sizes after cold rolling was studied and compared to the experimental ones, and a reasonable accordance is achieved. The numerical results presented that precipitates and sub-boundaries in cooperation take a significant role in persuading AGG by wetting alongside triple junctions. To validate the quantitative results, SRX transformation kinetics has been investigated using the differential scanning calorimetry.

Publisher

IOP Publishing

Subject

Computer Science Applications,Mechanics of Materials,Condensed Matter Physics,General Materials Science,Modeling and Simulation

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3