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<p>By integrating the advantages of eutectic systems with the structural complexity of high-entropy alloys (HEAs), eutectic high-entropy alloys (EHEAs) exhibit superior castability and mechanical strength, making them a promising class of advanced materials. In this review, we explore the additive manufacturing (AM) of EHEAs, focusing on how the selection of AM processes and conditions plays a critical role in determining the microstructural characteristics and mechanical performance of fabricated components. Special consideration is given to the phase distribution, microstructural evolution, and mechanical properties of EHEAs fabricated via AM techniques. The paper offers an in-depth exploration of the role of AM in the development and processing of EHEAs. It begins by introducing AM and its significance in alloy design, followed by a detailed discussion on HEAs (high-entropy alloys) and the emerging class of EHEAs. The role of machine learning (ML) in advancing AM processes and HEA design is also analyzed, showcasing its ability to enhance material performance. Subsequently, the review discusses various AM techniques for producing EHEAs, including Powder Bed Fusion (PBF), Directed Energy Deposition (DED), and others. It provides a thorough examination of the microstructural changes and mechanical properties, focusing on the key factors that affect material performance. Furthermore, the application of ML in optimizing AM processes for EHEAs is explored. The review concludes by identifying key challenges and limitations, such as alloy design complexities and the need for novel AM strategies. Future perspectives are outlined, emphasizing the vast potential of AM-produced EHEAs for advanced engineering applications and the necessity for continuous innovation to broaden their practical use.</p>

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Additive Manufacturing of Eutectic High-Entropy Alloys: A Comprehensive Review of Processing, Properties, and Machine Learning Approach

  • 期刊论文

  • 发表日期：

    2025年7月2日

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  • Reliance Jain,
  • Sheetal Kumar Dewangan,
  • Sandeep Jain,
  • Man Mohan,
  • Manoj Choudhari,
  • Hansung Lee,
  • Byungmin Ahn,
  • Yongho Jeon

摘要

By integrating the advantages of eutectic systems with the structural complexity of high-entropy alloys (HEAs), eutectic high-entropy alloys (EHEAs) exhibit superior castability and mechanical strength, making them a promising class of advanced materials. In this review, we explore the additive manufacturing (AM) of EHEAs, focusing on how the selection of AM processes and conditions plays a critical role in determining the microstructural characteristics and mechanical performance of fabricated components. Special consideration is given to the phase distribution, microstructural evolution, and mechanical properties of EHEAs fabricated via AM techniques. The paper offers an in-depth exploration of the role of AM in the development and processing of EHEAs. It begins by introducing AM and its significance in alloy design, followed by a detailed discussion on HEAs (high-entropy alloys) and the emerging class of EHEAs. The role of machine learning (ML) in advancing AM processes and HEA design is also analyzed, showcasing its ability to enhance material performance. Subsequently, the review discusses various AM techniques for producing EHEAs, including Powder Bed Fusion (PBF), Directed Energy Deposition (DED), and others. It provides a thorough examination of the microstructural changes and mechanical properties, focusing on the key factors that affect material performance. Furthermore, the application of ML in optimizing AM processes for EHEAs is explored. The review concludes by identifying key challenges and limitations, such as alloy design complexities and the need for novel AM strategies. Future perspectives are outlined, emphasizing the vast potential of AM-produced EHEAs for advanced engineering applications and the necessity for continuous innovation to broaden their practical use.