激光诱导击穿光谱应用于金属可靠性评价的研究进展  

Research progress of laser-induced breakdown spectroscopy in metal reliability evaluation

作　　者：杨淇 喻子彧 马维喆 卢志民[1,2,3] 姚顺春 陆继东[1,2,3] YANG Qi;YU Ziyu;MA Weizhe;LU Zhimin;YAO Shunchun;LU Jidong(School of Electric Power Engineering,South China University of Technology,Guangzhou 510641,China;Guangdong Province Key Laboratory of Efficient and Clean Energy Utilization,Guangzhou 510641,China;Guangdong Province Engineering Research Center of High Efficient and Low Pollution Conversion,Guangzhou 510640,China)

机构地区：[1]华南理工大学电力学院,广东广州510641 [2]广东省能源高效清洁利用重点实验室,广东广州510641 [3]广东省能源高效低污染转化与工程技术研究中心,广东广州510640

出　　处：《冶金分析》2023年第7期1-10,共10页Metallurgical Analysis

基　　金：国家自然科学基金(U22B20119);霍英东教育基金会高等学校青年教师基金(171047);广东省自然科学基金杰出青年项目(2021B1515020071);佛山市科技创新团队项目(1920001000052)。

摘　　要：关键金属构件的服役安全与可靠性评价是工业安全生产的核心保障。激光诱导击穿光谱(Laser-induced breakdown spectroscopy,LIBS)是近年来快速发展的一项原子光谱分析技术,凭借其无需复杂样品预处理、能实现多元素同步在线分析和远程原位测量等独特优势,在金属材料可靠性评价领域引起了广泛关注。文章总结了LIBS表征金属机械性能的方法研究,包括建立光谱特性(谱线信号强度及强度比)和等离子体温度与金属机械性能指标之间的线性关联性。梳理了LIBS光谱特性表征金属老化状态机理,并介绍了LIBS诊断金属老化状态方法,即建立谱线信号强度比与金属老化等级的关联性以及利用机器学习算法提高预测模型精度等。探讨了目前便携式LIBS设备研发与应用所面临的挑战及发展现状,并对LIBS在金属机械性能和老化状态表征领域未来的研究方向进行了展望。Critical metal components′ service safety and reliability evaluation is the core guarantee of industrial safety products.Laser-induced breakdown spectroscopy(LIBS) has been a rapidly developing atomic spectroscopy technique in recent years.It has attracted much attention in metal material reliability evaluation due to its unique advantages,such as no complicated sample pretreatment,simultaneous multi-element online analysis,and remote in-situ measurement.The article summarizes the methodological study of LIBS characterization of metal mechanical properties,including establishing a linear correlation between spectral properties(spectral line signal intensity and intensity ratio) and plasma temperature and metal mechanical property indexes.The mechanism of LIBS spectral characteristics to characterize metal aging state is sorted out,and the methods of LIBS to diagnose metal aging state,including establishing the correlation between spectral line signal intensity ratio and metal aging grade and using machine learning algorithms to improve the accuracy of prediction models,are introduced.The challenges and development status of the current development and application of portable LIBS devices are discussed,and the future research directions of LIBS in the field of metal mechanical properties and aging state characterization have been prospected.

关 键 词：激光诱导击穿光谱(LIBS) 金属 机械性能 老化状态诊断 基体效应 

分 类 号：O657.38[理学—分析化学] TF3[理学—化学]