Scholarlink

<p>To improve the formability of magnesium alloy sheets, this study established a quantitative relationship between the stress triaxiality in the deformation zone and process parameters, combining a self-developed multiaxial loading device with finite element simulation. The results indicate that at a loading angle <i>θ</i> = − 45° (stress triaxiality <i>η</i> = − 0.533), the AZ31 magnesium alloy exhibits the most significant grain refinement and the lowest basal texture intensity. Based on a comprehensive analysis of both microhardness and the developed microstructure gradient, the optimal process parameters corresponding to <i>η</i> = − 0.533 were determined as a compressive ratio of 20% and an asynchronous ratio of 1.2. This parameter combination not only significantly increases the microhardness, but also forms a unique and stable gradient microstructure from the surface to the center. This study demonstrates a novel model-driven strategy, integrating a custom device with coupled experiment-simulation, for the precise optimization of magnesium alloy rolling processes.</p>

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Optimal Process Parameters for AZ31 Magnesium Alloy under Combined Compressive-Shear Stress

  • 期刊论文

  • 发表日期：

    2026年3月12日

查看全文
  • Zhengjie Ma,
  • Weitao Jia,
  • Fangkun Ning,
  • Junyi Lei,
  • Weilei Jiang

摘要

To improve the formability of magnesium alloy sheets, this study established a quantitative relationship between the stress triaxiality in the deformation zone and process parameters, combining a self-developed multiaxial loading device with finite element simulation. The results indicate that at a loading angle θ = − 45° (stress triaxiality η = − 0.533), the AZ31 magnesium alloy exhibits the most significant grain refinement and the lowest basal texture intensity. Based on a comprehensive analysis of both microhardness and the developed microstructure gradient, the optimal process parameters corresponding to η = − 0.533 were determined as a compressive ratio of 20% and an asynchronous ratio of 1.2. This parameter combination not only significantly increases the microhardness, but also forms a unique and stable gradient microstructure from the surface to the center. This study demonstrates a novel model-driven strategy, integrating a custom device with coupled experiment-simulation, for the precise optimization of magnesium alloy rolling processes.