Prediction of microstructure gradient distribution in machined surface induced by high speed machining through a coupled FE and CA approach

Surface integrity is the permanent pursuit of industries for decades, and microstructure is a key factor controlling physical and mechanical properties of machined surfaces. During machining, a complicated non-uniform distribution of deformation fields will be applied to machined surfaces, as a resu...

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Main Authors: Hongguang Liu, Jun Zhang, Binbin Xu, Xiang Xu, Wanhua Zhao
Format: Article
Language:English
Published: Elsevier 2020-11-01
Series:Materials & Design
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S0264127520306687
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spelling doaj-1b8f09b6ba284d48afdc1ca58fed1d7b2020-11-25T04:00:53ZengElsevierMaterials & Design0264-12752020-11-01196109133Prediction of microstructure gradient distribution in machined surface induced by high speed machining through a coupled FE and CA approachHongguang Liu0Jun Zhang1Binbin Xu2Xiang Xu3Wanhua Zhao4School of Mechanical Engineering, Xi'an Jiaotong University, 28 Xianning West Road, Xi'an 710049, PR China; State Key Laboratory for Manufacturing System Engineering, Xi'an Jiaotong University, 99 Yanxiang Road, Xi'an 710054, PR ChinaSchool of Mechanical Engineering, Xi'an Jiaotong University, 28 Xianning West Road, Xi'an 710049, PR China; State Key Laboratory for Manufacturing System Engineering, Xi'an Jiaotong University, 99 Yanxiang Road, Xi'an 710054, PR China; Corresponding author at: School of Mechanical Engineering, Xi'an Jiaotong University, 28 Xianning West Road, Xi'an 710049, PR China.School of Mechanical Engineering, Xi'an Jiaotong University, 28 Xianning West Road, Xi'an 710049, PR China; State Key Laboratory for Manufacturing System Engineering, Xi'an Jiaotong University, 99 Yanxiang Road, Xi'an 710054, PR ChinaSchool of Mechanical Engineering, Xi'an Jiaotong University, 28 Xianning West Road, Xi'an 710049, PR China; State Key Laboratory for Manufacturing System Engineering, Xi'an Jiaotong University, 99 Yanxiang Road, Xi'an 710054, PR ChinaSchool of Mechanical Engineering, Xi'an Jiaotong University, 28 Xianning West Road, Xi'an 710049, PR China; State Key Laboratory for Manufacturing System Engineering, Xi'an Jiaotong University, 99 Yanxiang Road, Xi'an 710054, PR ChinaSurface integrity is the permanent pursuit of industries for decades, and microstructure is a key factor controlling physical and mechanical properties of machined surfaces. During machining, a complicated non-uniform distribution of deformation fields will be applied to machined surfaces, as a result, microstructure evolution will be significantly influenced. In this study, a coupled finite element (FE) and cellular automata (CA) approach is used to characterize and predict microstructure evolution during high-speed machining oxygen-free high-conductivity (OFHC) copper, where a unique material model is presented to describe both constitutive behaviors and microstructure evolution, and a mixed mechanism of continuous dynamic recrystallization (cDRX) and discontinuous dynamic recrystallization (dDRX) is adopted to show grain refinement and grain growth procedure under gradient distributed fields of strains, strain rates and temperatures in machined surfaces. A similar gradient distribution of grain sizes is obtained through both simulation and experimental results, which validates the predictive model and presents an in-depth understanding of microstructure evolution process during surface formation, and it shows the primary factors influencing the grain size distribution in sub-surface are cDRX-induced grain refinement and dDRX-induced grain growth. Moreover, the gradient distribution of microstructures in refined sub-surfaces could be used to explain mechanisms of sub-surface damage in the future.http://www.sciencedirect.com/science/article/pii/S0264127520306687Surface integrityHigh speed machiningMicrostructure evolutionDynamic recrystallizationCellular automataDislocation density
collection DOAJ
language English
format Article
sources DOAJ
author Hongguang Liu
Jun Zhang
Binbin Xu
Xiang Xu
Wanhua Zhao
spellingShingle Hongguang Liu
Jun Zhang
Binbin Xu
Xiang Xu
Wanhua Zhao
Prediction of microstructure gradient distribution in machined surface induced by high speed machining through a coupled FE and CA approach
Materials & Design
Surface integrity
High speed machining
Microstructure evolution
Dynamic recrystallization
Cellular automata
Dislocation density
author_facet Hongguang Liu
Jun Zhang
Binbin Xu
Xiang Xu
Wanhua Zhao
author_sort Hongguang Liu
title Prediction of microstructure gradient distribution in machined surface induced by high speed machining through a coupled FE and CA approach
title_short Prediction of microstructure gradient distribution in machined surface induced by high speed machining through a coupled FE and CA approach
title_full Prediction of microstructure gradient distribution in machined surface induced by high speed machining through a coupled FE and CA approach
title_fullStr Prediction of microstructure gradient distribution in machined surface induced by high speed machining through a coupled FE and CA approach
title_full_unstemmed Prediction of microstructure gradient distribution in machined surface induced by high speed machining through a coupled FE and CA approach
title_sort prediction of microstructure gradient distribution in machined surface induced by high speed machining through a coupled fe and ca approach
publisher Elsevier
series Materials & Design
issn 0264-1275
publishDate 2020-11-01
description Surface integrity is the permanent pursuit of industries for decades, and microstructure is a key factor controlling physical and mechanical properties of machined surfaces. During machining, a complicated non-uniform distribution of deformation fields will be applied to machined surfaces, as a result, microstructure evolution will be significantly influenced. In this study, a coupled finite element (FE) and cellular automata (CA) approach is used to characterize and predict microstructure evolution during high-speed machining oxygen-free high-conductivity (OFHC) copper, where a unique material model is presented to describe both constitutive behaviors and microstructure evolution, and a mixed mechanism of continuous dynamic recrystallization (cDRX) and discontinuous dynamic recrystallization (dDRX) is adopted to show grain refinement and grain growth procedure under gradient distributed fields of strains, strain rates and temperatures in machined surfaces. A similar gradient distribution of grain sizes is obtained through both simulation and experimental results, which validates the predictive model and presents an in-depth understanding of microstructure evolution process during surface formation, and it shows the primary factors influencing the grain size distribution in sub-surface are cDRX-induced grain refinement and dDRX-induced grain growth. Moreover, the gradient distribution of microstructures in refined sub-surfaces could be used to explain mechanisms of sub-surface damage in the future.
topic Surface integrity
High speed machining
Microstructure evolution
Dynamic recrystallization
Cellular automata
Dislocation density
url http://www.sciencedirect.com/science/article/pii/S0264127520306687
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