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短周期螺柱焊在线分析系统
引用本文:包晔峰,廖海龙,张金辉,张景璋,杨可,蒋永锋.短周期螺柱焊在线分析系统[J].电焊机,2017,47(1).
作者姓名:包晔峰  廖海龙  张金辉  张景璋  杨可  蒋永锋
作者单位:1. 河海大学机电工程学院,江苏常州,213022;2. 河海大学机电工程学院,江苏常州213022;华中科技大学武汉国家光电实验室,湖北武汉430074
摘    要:短周期电弧螺柱焊生产效率高,易于实现自动化,广泛应用于汽车工业。开发了由信号采集单元和分析软件构成的短周期螺柱焊在线分析系统。信号采集单元包含PIC18F4580单片机、电源、信号调理、外部存储器和RS485通信等电路,通过焊接状态判断、AD采样、数据存储和通信等程序,实现焊接电流和电压采集、存储和传输。分析软件采用Microsoft Visual Studio C#编写,操作界面由主窗口、焊接过程分析窗口、熔深阈值设置窗口和报警窗口等构成。DP600镀锌钢板焊接试验表明,开发的短周期螺柱焊分析系统能实时显示焊接电流和电压波形,提取焊接参数特征值,判断电弧的稳定性,熔深计算值与实测值相吻合,在线检测结论与外观目检、宏观检测和扭矩测试的结论一致。系统收集的原始数据可用于分析引起质量问题的具体原因。

关 键 词:螺柱焊  信号采集  数据分析  实时判断

Online analysis system for short-cycle arc stud welding
BAO Yefeng,LIAO Hailong,ZHANG Jinhui,ZHANG Jingzhang,YANG Ke,JIANG Yongfeng.Online analysis system for short-cycle arc stud welding[J].Electric Welding Machine,2017,47(1).
Authors:BAO Yefeng  LIAO Hailong  ZHANG Jinhui  ZHANG Jingzhang  YANG Ke  JIANG Yongfeng
Abstract:Due to the high production efficiency and automation applications,short cycle arc stud welding is widely used in automotive industry. A system composed of signal acquisition unit and analysis software was developed in this paper. The signal acquisition unit consisted of PIC18F4580 and circuits of power supply,signal conditioning,external storage and RS485 communication,and the signals of welding current and voltage were gathered,stored,and transferred by software of the AD sampling,data storage and communication respectively based on the judgment of welding state. The interface of the system was programmed by Microsoft Visual Studio C#,which included the main window,welding process analysis window,penetration threshold settings window and alarm window. DP600 galvanized sheet trial showed that the short cycle arc stud welding analysis system could extract the characteristic values of the welding process,judge the stability of the arc.Penetration calculated by the system coincided well with actual values. Online monitor conclusion agreed well with the results of visual inspection,macro examination and torque test. The data collected by the system could be used to identify the causes of poor quality.
Keywords:stud welding  signal acquisition  quality monitoring  online judgment
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