基于位错密度的金属材料模型的灵敏度分析、识别与验证

IF 0.9 4区材料科学 Q3 METALLURGY & METALLURGICAL ENGINEERING

Metallurgical Research & Technology Pub Date : 2021-01-01 DOI:10.1051/METAL/2021037

D. Szeliga, Natalia Czyżewska, Konrad Klimczak, J. Kusiak, Pawel M. Morkisz, P. Oprocha, M. Pietrzyk, Paweł Przybyłowicz

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引用次数: 4

摘要

提出了基于位错演化微分方程的微观组织演化模型。进行敏感性分析，找出对模型输出影响最大的参数。通过对实验数据的逆分析，确定了不同金属材料的模型系数。在有限元程序中实现了该模型，并对各种热成形过程进行了仿真。

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Sensitivity analysis, identification and validation of the dislocation density-based model for metallic materials

Microstructure evolution model based on the differential equation describing evolution of dislocations was proposed. Sensitivity analysis was performed and parameters with the strongest influence on the output of the model were revealed. Identification of the model coefficients was performed for various metallic materials using inverse analysis for experimental data. The model was implemented in the finite element code and simulations of various hot forming processes were performed.

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来源期刊

Metallurgical Research & Technology METALLURGY & METALLURGICAL ENGINEERING-

CiteScore

1.70

自引率

9.10%

发文量

审稿时长

4.4 months

期刊介绍： Metallurgical Research and Technology (MRT) is a peer-reviewed bi-monthly journal publishing original high-quality research papers in areas ranging from process metallurgy to metal product properties and applications of ferrous and non-ferrous metals and alloys, including light-metals. It covers also the materials involved in the metal processing as ores, refractories and slags. The journal is listed in the citation index Web of Science and has an Impact Factor. It is highly concerned by the technological innovation as a support of the metallurgical industry at a time when it has to tackle severe challenges like energy, raw materials, sustainability, environment... Strengthening and enhancing the dialogue between science and industry is at the heart of the scope of MRT. This is why it welcomes manuscripts focusing on industrial practice, as well as basic metallurgical knowledge or review articles.