Modelling and Simulation of Composition and Mechanical Properties of High Entropy Magnesium-Based Multi Component Alloy

Robert Kennedy Otieno, Edward V. Odhong, J. Mutua
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Abstract

Magnesium alloys are high potential materials for application in the aerospace and automotive industries due to their lightweight properties. They can help to lower dead weight and fuel consumption to contribute to sustainability and efficiency. It is possible to achieve high specific strength and high stiffness of the alloys by varying compositions of alloying elements. Applications of magnesium are limited due to its low strength and relatively low stiffness. This research focuses on a recipe of multi component alloys of magnesium with varied percentages of Mg, Al, Cu, Mn and Zn obtained from literature and optimizes the percentage compositions to obtain for high specific strength and specific stiffness. Relationships among percentage constituents of the alloy components are examined in Matlab R2022b using multiple linear regression. Optimization is achieved using genetic algorithm to determine the specific strengths and stiffness. The resulting optimal alloy component percentages by weight are used for microstructure simulation of thermodynamic properties, diffusion and phase transformations of proposed alloy is done in MatCalc software version 6.04. Results show potential for improved mechanical properties resulting from disordered structure in the high entropy magnesium alloy. Future research should focus on production and characterization of the proposed alloy.
高熵镁基多组分合金成分及力学性能的建模与仿真
镁合金由于其轻量化的特性,在航空航天和汽车工业中具有很高的应用潜力。它们可以帮助降低自重和燃料消耗,从而促进可持续性和效率。通过改变合金元素的组成,可以实现合金的高比强度和高刚度。镁的应用受到限制,因为它的低强度和相对较低的刚度。本文主要研究了从文献中获得的不同Mg、Al、Cu、Mn和Zn含量的多组分镁合金配方,并对配方进行了优化,以获得较高的比强度和比刚度。在Matlab R2022b中使用多元线性回归分析了合金成分百分比成分之间的关系。优化采用遗传算法来确定比强度和刚度。采用MatCalc 6.04软件对优选合金的热力学性能、扩散和相变进行微观模拟。结果表明,高熵镁合金的无序结构有改善其力学性能的潜力。未来的研究应集中在制备和表征所提出的合金。
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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