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高熵合金的增材制造组织结构与性能优化研究进展

Research progress on microstructure and property optimization of high-entropy alloys fabricated by additive manufacturing

  • 摘要: 高熵合金凭借多主元成分设计与高熵效应获得优异综合性能,但传统成形工艺难以兼顾其复杂形状与均匀组织,严重制约了工业化应用。增材制造技术(AM)为实现其复杂构件成形与微观组织精密调控提供了解决方案。本文系统综述了激光粉末床熔融、定向能量沉积等主流增材制造技术在高熵合金制备中的研究现状,总结了增材制造高熵合金的典型体系以及在AM过程中的微观结构特征、力学性能及功能性能的表现。研究表明,AM技术通过快速凝固与热循环可细化晶粒、抑制有害相、促进亚稳相形成,显著提高材料性能,但仍面临工艺参数复杂、裂纹敏感、制备成本高、多尺度模拟不足等挑战。未来应积极利用机器学习优化工艺-组织-性能关系、开发新型AM技术与后处理工艺、设计低成本合金体系,以及结合跨尺度模拟实现智能化设计。

     

    Abstract: High-entropy alloys exhibit outstanding properties owing to their multi-principal-element design and high-entropy effects. Nevertheless, conventional forming processes fail to produce complex shapes while maintaining microstructural uniformity. This bottleneck severely hinders their industrial application. Additive manufacturing (AM) provides a revolutionary solution for complex component forming and microstructure precision control. In this paper, the research status of mainstream additive manufacturing technologies such as laser powder bed melting and directional energy deposition in the preparation of high-entropy alloys is systematically reviewed. The typical systems of additive manufacturing high-entropy alloys and the microstructure characteristics, mechanical properties and functional properties in the AM process are summarized. Studies have shown that AM technology can refine grains, inhibit harmful phases, promote the formation of metastable phases, and significantly improve material properties through rapid solidification and thermal cycling. However, it still faces challenges such as complex process parameters, crack sensitivity, high preparation cost, and insufficient multi-scale simulation. In the future, machine learning should be actively used to optimize the process-organization-performance relationship, develop new AM technology and post-treatment process, design low-cost alloy system, and realize intelligent design combined with cross-scale simulation.

     

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