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A strategy for synthetic microstructure generation and crystal plasticity parameter calibration of fine-grain-structured dual-phase steel

机译:细粒结构双相钢的合成微观结构产生和晶体塑性参数校准策略

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摘要

This study aims to establish a strategy for bridging the microstructure and mechanical properties of fine-grain-structured dual-phase steel. A complete workflow is built up commencing with the microstructure observations and characterization in both phase and grain levels by assorted experimental techniques. An assessment criterion is proposed to quantitatively examine the representativeness of synthetic microstructure models in terms of the refined microstructural features including phase fraction, grain size, grain shape, and texture for each phase of the steel. The criterion is employed to define a two-step optimization procedure for building the synthetic microstructure model for the dual-phase steel with nanoscale grain size. The crystal plasticity model is employed to describe the material deformation behavior. The corresponding material parameters are calibrated by an inverse approach combining the nanoindentation test and the macroscopic uniaxial tensile test. The simulation with the calibrated parameters and the synthetic microstructure model gives an excellent prediction of the Lankford coefficient of the dual-phase steel. Benefiting from the strategy, a virtual laboratory is conducted to investigate the micro-structure sensitivity on the mechanical properties, which serves a basis for the microstructure design with desired properties.
机译:本研究旨在建立一种促进细纹结构双相钢的微观结构和力学性能的策略。通过各种实验技术建立了完整的工作流程开始使用微观结构观察和相位和晶粒水平的表征。提出了评估标准,以定量地检查合成微观结构模型的代表性,而是在具有钢的各相的相位级分,粒度,晶粒形状和纹理的精制微观结构特征方面的代表性。采用标准来定义两步优化过程,用于用纳米级粒度构建双相钢的合成微观结构模型。使用晶体塑性模型来描述材料变形行为。相应的材料参数通过组合纳米狭窄试验和宏观单轴拉伸试验的反向方法校准。具有校准参数和合成微结构模型的模拟给出了双相钢的Lankford系数的优异预测。从策略中受益,进行虚拟实验室以研究机械性能的微结构敏感性,这为微观结构设计具有所需性能的基础。

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