Cold Rolling Texture Prediction Using Finite Element Simulation with Zooming Analysis

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,...

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Autores principales: Honghao Wang, Sheng Ding, Tom Taylor, Jun Yanagimoto
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Lenguaje:EN
Publicado: MDPI AG 2021
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spelling oai:doaj.org-article:1f6c97b721b54843af36c9ec83d011872021-11-25T18:14:39ZCold Rolling Texture Prediction Using Finite Element Simulation with Zooming Analysis10.3390/ma142269091996-1944https://doaj.org/article/1f6c97b721b54843af36c9ec83d011872021-11-01T00:00:00Zhttps://www.mdpi.com/1996-1944/14/22/6909https://doaj.org/toc/1996-1944Cold 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.Honghao WangSheng DingTom TaylorJun YanagimotoMDPI AGarticlecold rolling texturefinite element analysisco-rotational formulationTaylor modelTechnologyTElectrical engineering. Electronics. Nuclear engineeringTK1-9971Engineering (General). Civil engineering (General)TA1-2040MicroscopyQH201-278.5Descriptive and experimental mechanicsQC120-168.85ENMaterials, Vol 14, Iss 6909, p 6909 (2021)
institution DOAJ
collection DOAJ
language EN
topic cold rolling texture
finite element analysis
co-rotational formulation
Taylor model
Technology
T
Electrical engineering. Electronics. Nuclear engineering
TK1-9971
Engineering (General). Civil engineering (General)
TA1-2040
Microscopy
QH201-278.5
Descriptive and experimental mechanics
QC120-168.85
spellingShingle cold rolling texture
finite element analysis
co-rotational formulation
Taylor model
Technology
T
Electrical engineering. Electronics. Nuclear engineering
TK1-9971
Engineering (General). Civil engineering (General)
TA1-2040
Microscopy
QH201-278.5
Descriptive and experimental mechanics
QC120-168.85
Honghao Wang
Sheng Ding
Tom Taylor
Jun Yanagimoto
Cold Rolling Texture Prediction Using Finite Element Simulation with Zooming Analysis
description 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.
format article
author Honghao Wang
Sheng Ding
Tom Taylor
Jun Yanagimoto
author_facet Honghao Wang
Sheng Ding
Tom Taylor
Jun Yanagimoto
author_sort Honghao Wang
title Cold Rolling Texture Prediction Using Finite Element Simulation with Zooming Analysis
title_short Cold Rolling Texture Prediction Using Finite Element Simulation with Zooming Analysis
title_full Cold Rolling Texture Prediction Using Finite Element Simulation with Zooming Analysis
title_fullStr Cold Rolling Texture Prediction Using Finite Element Simulation with Zooming Analysis
title_full_unstemmed Cold Rolling Texture Prediction Using Finite Element Simulation with Zooming Analysis
title_sort cold rolling texture prediction using finite element simulation with zooming analysis
publisher MDPI AG
publishDate 2021
url https://doaj.org/article/1f6c97b721b54843af36c9ec83d01187
work_keys_str_mv AT honghaowang coldrollingtexturepredictionusingfiniteelementsimulationwithzoominganalysis
AT shengding coldrollingtexturepredictionusingfiniteelementsimulationwithzoominganalysis
AT tomtaylor coldrollingtexturepredictionusingfiniteelementsimulationwithzoominganalysis
AT junyanagimoto coldrollingtexturepredictionusingfiniteelementsimulationwithzoominganalysis
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