3D micromechanical modeling of dual phase steels using the representative volume element method

被引：62

作者：

Amirmaleki, Maedeh ^{[1
]}

Samei, Javad ^{[1
]}

Green, Daniel E. ^{[1
]}

van Riemsdijk, Isadora ^{[2
]}

Stewart, Lorna ^{[2
]}

机构：

[1] Univ Windsor, Dept Mech Automot & Mat Engn, 401 Sunset Ave, Windsor, ON N9B 3P4, Canada

[2] ArcelorMittal Global Res, Hamilton Lab, 1330 Burlington St East, Hamilton, ON L8N 3J5, Canada

来源：

MECHANICS OF MATERIALS | 2016年 / 101卷

基金：

加拿大自然科学与工程研究理事会;

关键词：

3D modeling; Dual phase steels; Micromechanical modeling; Microstructural design; Quantitative metallography; Representative volume element; MECHANICAL-PROPERTIES; BEHAVIOR; STRAIN; STRESS; SIMULATION; MICROSTRUCTURES; DISLOCATIONS; FRACTION; PREDICT; DAMAGE;

D O I：

10.1016/j.mechmat.2016.07.011

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

There is a steady increase in the implementation of dual phase steels in stamped automotive components. Therefore, steel suppliers who develop dual phase steels are interested in predicting the microstructure properties relationship for optimization of microstructural design. This goal is achievable by micromechanical modeling. The representative volume element (RVE) method has been a popular technique for micromechanical modeling of dual phase steels. It is generally considered that 2D modeling underestimates the flow curves and that 3D modeling predicts the experimental stress-strain curves more accurately. However, much of the research has focused on 2D modeling. This paper develops 3D micromechanical modeling of DP500 and bainite-aided DP600 steels by including statistical quantitative metallography data in the models. More than 3000 grains were analyzed in each steel. Hence, both volume fraction and morphology of martensite were statistically determined. This model predicted the ultimate tensile strength of these two dual phase steels with less than 0.5% error. (C) 2016 Elsevier Ltd. All rights reserved.

引用

页码：27 / 39

页数：13

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