Quality measure and control system for the whole process of arc welding
welding quality control is critical for welding manufacturing. However, the factors that affect welding quality exist in the whole welding process including choice of the welding material, welding technology and parameter making, stability of the welding process and the metallurgical structure and mechanical property of the joint. Whole process welding quality control is a technology control process that can control the welding quality from choice of the welding material, stability of the welding process and quality assurance after welding. Based on the basic concept of whole process welding quality control, a quality measure and control system is developed in this paper. The system is consisted of three modules: Technology property evaluation and welding material choice module based on Analysator Hannover. Through sampling the electrical signal of welding process with different welding material, this module can evaluate the technology property of welding material based on the correlation criterion and software system provided by our studies. This system can evaluate three type of welding material: electrode, solid welding wire and flux-cored wire. Based on the evaluated results, welding material with good technology property can be chosen to improve the welding quality.Welding process stability evaluation module based on welding process information. Through collecting electrical and light spectral signal of the welding process, the disturbing factor affect the welding quality is diagnosed to provide specific signal for online measurement. The finished work is mainly focused on electrical signal and the studies on light spectral signal are doing with promising results. Through comparison the signal of welding process with standard disturbing signal, the stability and disturbing factor of the welding process can be identified for welding quality control. The module for forecasting the metallurgical structure and property of joint. The metallurgical structure and property of joint are critical for welding quality and its application. Through calling the CCT diagram data base which is set up by the module with Autocad and chose the right criterion equations, the metallurgical structure and mechanical property of the weld affected zone and weld metal is predicted for different welding process. The software can optimize the welding parameter and process making through predicting the metallurgical structure and mechanical property of weld. For stainless steel, a predicting method based on Schaeffer is also provided in this module.
welding quality control Technology property evaluation Analysator Hannover metallurgical structure
Li Zhiyong Wang bao Ding jingbin
Welding technology center，North University of China, China 030051
国际会议
郑州
英文
2007-10-23（万方平台首次上网日期，不代表论文的发表时间）