基于微观组织结构重构的先进高强度双相钢力学性能预测
Prediction of the Mechanical Properties for Advanced High-Strength Dual Phase Steel Based on the Reconstructed Microstructure
DOI: 10.12677/MS.2019.910118, PDF,  被引量    国家自然科学基金支持
作者: 李洪周*, 张文晶：湖南科技大学机电工程学院，湖南 湘潭
关键词: 微观组织结构；双相钢；重构；拉伸性能；剪切性能；Microstructure； Dual Phase Steel； Reconstruction； Tensile Property； Shear Property
摘要: 本文对先进高强度双相钢微观组织结构显微观测的金相图，采用两点相关性和线性路径概率函数进行统计分析和表征，结合模拟退火优化算法，建立了双相钢微观组织结构的重构方法。基于重构的双相钢微观组织结构构建了代表体积元模型，并进行了拉伸和剪切力学性能的预测。研究结果表明：采用概率统计函数结合优化算法能得到具有统计意义的双相钢典型微观组织结构，基于重构微观组织结构的代表体积元模型预测的力学性能与试验结果吻合良好。
Abstract: The two-point correlation and linear-path probability functions were used to statistically analyze and characterize the metallography of advanced high-strength dual phase steel observed by the optical microscope. Combined with simulated annealing optimization algorithm, a reconstruction method for the microstructure of dual phase steel was established. The RVE model was constructed based on the reconstructed microstructure. The tensile and shear mechanical properties were predicted by using the RVE model. The results showed that the typical microstructure of the dual phase steel with statistical significance can be obtained by combining the probability function with optimization algorithm. The mechanical properties predicted by RVE model base on the reconstructed microstructure are in good agreement with the experimental results.
文章引用：李洪周, 张文晶. 基于微观组织结构重构的先进高强度双相钢力学性能预测[J]. 材料科学, 2019, 9(10): 955-963. https://doi.org/10.12677/MS.2019.910118

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