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<p>The precipitation behavior of Cu-rich phases remains a fundamental challenge in optimizing the properties of Cu-containing alloys. The size, morphology, and distribution of these precipitates directly determine the strength and toughness of such alloys; coarse precipitates severely reduce toughness and cause premature service failure. Thus, understanding and regulating Cu precipitation is critical for fabricating high-performance Cu-bearing alloys. Current research mainly uses transmission electron microscopy and atom probe tomography for characterization, but their long cycles and limited spatiotemporal resolution hinder a comprehensive understanding of precipitation dynamics and underlying micro-mechanisms. The phase-field method—based on thermodynamic free energy—enables the dynamic modeling of the full evolution process of Cu-rich precipitate (nucleation, growth, coarsening), integrates multi-physics effects, visualizes behavior, and links it to composition/temperature. In recent years, this method has been widely used to reveal Cu-rich precipitation rules (including binary/multi-component transformation kinetics). Adding multi-physics energy terms has improved simulation accuracy and expanded applicability. Key mechanisms became quantitative equations, enabling predictive models for grain boundary precipitation and complex structures in multi-component alloys. This paper reviews the phase-field method’s application to Cu-rich precipitation, highlights its advantages in decoding micro-mechanisms and guiding alloy design, notes inherent limitations of existing models, and concludes by emphasizing that the phase-field method has exerted a transformative impact on this research field, bridging the gap between experimental observations and theoretical predictions of Cu-rich precipitation. Addressing its unresolved challenges—such as constructing non-equilibrium multi-field coupled models and establishing bidirectional cross-scale simulation frameworks—will drive the development of next-generation high-performance Cu-containing alloys.</p>

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Phase-Field Modeling Cu-rich Precipitation: A Review

  • 期刊论文

  • 发表日期：

    2026年3月5日

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  • Hong Qin,
  • Yingxue Teng,
  • Zhenbo Jiao,
  • Jing Guo,
  • Pengyu Wen

摘要

The precipitation behavior of Cu-rich phases remains a fundamental challenge in optimizing the properties of Cu-containing alloys. The size, morphology, and distribution of these precipitates directly determine the strength and toughness of such alloys; coarse precipitates severely reduce toughness and cause premature service failure. Thus, understanding and regulating Cu precipitation is critical for fabricating high-performance Cu-bearing alloys. Current research mainly uses transmission electron microscopy and atom probe tomography for characterization, but their long cycles and limited spatiotemporal resolution hinder a comprehensive understanding of precipitation dynamics and underlying micro-mechanisms. The phase-field method—based on thermodynamic free energy—enables the dynamic modeling of the full evolution process of Cu-rich precipitate (nucleation, growth, coarsening), integrates multi-physics effects, visualizes behavior, and links it to composition/temperature. In recent years, this method has been widely used to reveal Cu-rich precipitation rules (including binary/multi-component transformation kinetics). Adding multi-physics energy terms has improved simulation accuracy and expanded applicability. Key mechanisms became quantitative equations, enabling predictive models for grain boundary precipitation and complex structures in multi-component alloys. This paper reviews the phase-field method’s application to Cu-rich precipitation, highlights its advantages in decoding micro-mechanisms and guiding alloy design, notes inherent limitations of existing models, and concludes by emphasizing that the phase-field method has exerted a transformative impact on this research field, bridging the gap between experimental observations and theoretical predictions of Cu-rich precipitation. Addressing its unresolved challenges—such as constructing non-equilibrium multi-field coupled models and establishing bidirectional cross-scale simulation frameworks—will drive the development of next-generation high-performance Cu-containing alloys.