弧焊过程质量监测研究现状  

Research Status of Process Quality Monitoring for Arc Welding

作　　者：周晓晓 徐佳琛 朱大伟 黄勇[2] ZHOU Xiaoxiao;XU Jiachen;ZHU Dawei;HUANG Yong(School of Electrical Engineering,Nanjing Vocational University of Industry Technology,Nanjing 210023,China;School of Materials Science and Engineering,Nanjing University of Science and Technology,Nanjing 210014,China)

机构地区：[1]南京工业职业技术大学电气工程学院,江苏南京210023 [2]南京理工大学材料科学与工程学院,江苏南京210014

出　　处：《电焊机》2023年第9期99-107,共9页Electric Welding Machine

基　　金：南京工业职业技术大学引进人才科研启动基金项目(YK19-02-01)。

摘　　要：随着科技的发展,现代制造业对焊接自动化与智能化的要求越来越高,而焊接过程质量监测是实现焊接自动化与智能化的重要保证。焊接过程质量监测主要包括焊接过程信息采集与分析两方面内容。针对焊接加工方式中应用最广泛的电弧焊方法,从焊接过程监测信息源和数据分析方法两个方面综述了国内外焊接过程质量监测领域的研究现状。前者包括焊接过程工艺信息、电弧声信息、熔池视觉图像信息及多源信息融合等;后者包括统计学分析方法和机器学习方法。最后,提出了现存研究的不足与将来的研究方向。Welding is an indispensable processing method in modern manufacturing.With the development of modern manufacturing,the demand for welding automation and intelligence is increasing.And welding process quality monitoring is the premise of welding automation and intelligence.Welding process quality monitoring mainly includes two aspects:welding process information collection and analysis.This work describes welding process quality monitor technologies of the most widely used arc welding mainly from the information sensed from the welding and data analytic technologies two aspects.The former includes the instantaneous electrical information,the acoustic information,the optical information and the fusion of multi-source information;and the latter includes statistical methods and machine learning methods.And proposed the shortcomings of existing research and future research needs.

关 键 词：电弧焊 质量监测 信息传感 统计分析 机器学习 

分 类 号：TG409[金属学及工艺—焊接] TP391.7[自动化与计算机技术—计算机应用技术]