On-line evaluation and monitoring technology for material surface integrity in laser shock peening-A review

被引:45
作者
Qin, Rui [1 ]
Zhang, Zhifen [1 ]
Hu, Zhiyao [1 ]
Du, Zhengyao [1 ]
Xiang, Xianwen [1 ]
Wen, Guangrui [1 ]
He, Weifeng [1 ]
机构
[1] Xi An Jiao Tong Univ, Dept Mech Engn, Xian 710049, Shaanxi, Peoples R China
基金
中国国家自然科学基金;
关键词
Laser shock peening; Online monitoring system; Surface quality assessment; Surface integrity; Sensing signal; GRAIN-REFINEMENT MECHANISM; ACOUSTIC-EMISSION; MICROSTRUCTURE EVOLUTION; RESIDUAL-STRESSES; CAVITATION BUBBLES; FATIGUE BEHAVIOR; PULSED-LASER; ALLOY; WAVES; TOPOGRAPHY;
D O I
10.1016/j.jmatprotec.2022.117851
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
Laser shock peening (LSP) is a multidisciplinary surface plasticity strengthening technique that significantly enhances the mechanical properties of metallic materials by introducing residual compressive stresses and improving the microstructure on the material surface. The development of online monitoring technology for product quality in LSP can be used to ensure stable and efficient production processes on a large scale and can facilitate the further development of this technology in areas with high requirements for part quality and production efficiency. Although the scientific community has conducted extensive research on the online monitoring technology in LSP, there is a lack of comprehensive review of this technical scheme in the published relevant comments. This paper provides a comprehensive summary and review of the LSP quality online monitoring technology based on process physical signals, multi-source information fusion and advanced data-driven methods. This review also summarizes the basic principles of LSP and the technical metrics used to assess product quality and discusses the advantages and disadvantages of each sensing method and the challenges for its future development via comparative analysis. It is expected that this review will provide important theoretical guidance and technical solutions for the actual online monitoring of LSP.
引用
收藏
页数:19
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