Investigation of the history-dependent nonlinear micro-viscoplasticity behavior of dual-phase steel using crystal plasticity finite element method

IF 3.4 3区材料科学 Q2 MATERIALS SCIENCE, MULTIDISCIPLINARY

Mechanics of Materials Pub Date : 2024-11-09 DOI:10.1016/j.mechmat.2024.105202

Jaebong Jung , Ji Hoon Kim

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Abstract

During tensile loading–unloading cycles, steels composed of different phases may exhibit history-dependent nonlinear micro-viscoplasticity behavior. To analyze the mechanism of the evolution of the elastic behavior, in this study, loading–unloading experiments were conducted for dual-phase steels, comprising martensite and ferrite, with a thickness of 1.1 mm and a tensile strength of 980 MPa. To investigate the complex elastic behavior at the microscale, a 3D representative volume element modeling the steel microstructure was generated and the elastic response was examined using the rate-dependent crystal plasticity finite element method. The differences of the plastic deformation in the ferritic and martensitic phases were analyzed. To describe the history-dependent nonlinear micro-viscoplasticity behavior for macroscopic simulations, a micro-viscoplasticity model was developed. The developed material model successfully captured the repeated loading–unloading behavior of DP980 steel.

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利用晶体塑性有限元法研究双相钢的历史依赖性非线性微粘塑性行为

在拉伸加载-卸载循环过程中，由不同相组成的钢可能会表现出与历史相关的非线性微粘弹性行为。为分析弹性行为的演变机制，本研究对厚度为 1.1 毫米、抗拉强度为 980 兆帕的双相钢（包括马氏体和铁素体）进行了加载-卸载实验。为研究微观尺度上的复杂弹性行为，生成了钢材微观结构的三维代表性体积元素模型，并使用速率相关晶体塑性有限元法研究了弹性响应。分析了铁素体相和马氏体相塑性变形的差异。为了在宏观模拟中描述与历史相关的非线性微粘塑性行为，开发了一个微粘塑性模型。所建立的材料模型成功地捕捉到了 DP980 钢的重复加载-卸载行为。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Mechanics of Materials 工程技术-材料科学：综合

CiteScore

7.60

自引率

5.10%

发文量

243

审稿时长

46 days

期刊介绍： Mechanics of Materials is a forum for original scientific research on the flow, fracture, and general constitutive behavior of geophysical, geotechnical and technological materials, with balanced coverage of advanced technological and natural materials, with balanced coverage of theoretical, experimental, and field investigations. Of special concern are macroscopic predictions based on microscopic models, identification of microscopic structures from limited overall macroscopic data, experimental and field results that lead to fundamental understanding of the behavior of materials, and coordinated experimental and analytical investigations that culminate in theories with predictive quality.