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粉末冶金产品缺陷的形成机理、检测技术及抑制方法

Formation Mechanisms, Detection Techniques, and Mitigation Methods of Defects in Powder Metallurgy Products

  • 摘要: 粉末冶金作为一种近净成形、高效节能的先进制造技术,在航空航天、汽车、电子等高端装备领域发挥着不可替代的作用。然而,粉末冶金产品在制备过程中,易产生各种各样的缺陷,严重制约了产品的使用性能和服役可靠性。因此,本文综述了粉末冶金产品中典型缺陷的形成机理、检测技术与抑制方法。文章首先将缺陷归纳为气孔、裂纹、夹杂物等常见缺陷,以及原始颗粒边界(Prior Particle Boundary,PPB)、分层、偏析等特殊缺陷,分析了原始粉体特性、粉末冶金工艺参数对各类缺陷形成的影响规律;随后,归纳了各类缺陷的微观及宏观检测方法,涵盖常规破坏性检验及无损检测技术。在缺陷抑制方面,针对性总结了不同合金体系中各类缺陷的抑制方法,主要涉及粉末表面改性、模具与压制曲线优化、先进致密化技术及针对性热处理等技术手段。最后,展望了该领域与材料基因工程、人工智能及数字化孪生等技术深度融合的前景,旨在为粉末冶金产品的质量控制和性能提升提供理论指导。

     

    Abstract: Powder metallurgy, as an advanced manufacturing technology featuring near-net shaping and high efficiency and energy conservation, plays an irreplaceable role in high-end equipment fields such as aerospace, automotive, and electronics. However, during the preparation of powder metallurgy products, various defects are prone to occur, which seriously restrict the performance and reliability of the products. Therefore, this paper reviews the formation mechanism, detection technology and mitigation methods of key defects in powder metallurgy products. Firstly, the defects are classified into common defects such as stomata, cracks and inclusions, as well as special defects such as original particle boundaries (Prior Particle Boundary,PPB), delamination and segregation. Influences of the characteristics of the original powder and powder metallurgy process parameters on the formation of various defects are analyzed. Then, the microscopic and macroscopic detection methods of various defects are summarized, covering conventional destructive testing and non-destructive testing techniques. In terms of defect mitigation, this paper summarizes the suppression methods of various defects in different alloy systems, mainly involving powder surface modification, optimization of molds and pressing curves, advanced densification technologies and targeted heat treatment techniques. Finally, this paper looks forward to the prospects of the deep integration of this field with material gene engineering, artificial intelligence and digital twins, aiming to provide theoretical guidance for the quality control and performance improvement of powder metallurgy products.

     

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