窄間隙立焊焊縫成形及傳感特性分析
[Abstract]:In recent years, with the increasing size of industrial equipment and the wide application of medium and thick steel plate of large components, the application of thick plate welding is becoming more and more common. Because narrow gap welding has the advantages of high efficiency, low cost and low deformation in thick plate welding, its application is increasing day by day. Narrow gap vertical welding is an important part of narrow gap welding. In the process of vertical welding, the quality of welding seam is poor when the process parameters are not chosen at the same time. The analysis of the sensing characteristics of welding sensing signals is an important preliminary preparation for the extraction of welding seam deviation and the realization of weld seam tracking. In this paper, narrow gap vertical welding is taken as the research object. The influence of welding process parameters on the surface forming and the sensing characteristics of the collected welding sensing signals are studied. Firstly, in order to obtain a good quality narrow gap vertical welding seam, the influence of wire feeding speed, swing speed, welding speed, side wall residence time and welding torch angle on the weld formation during the narrow gap vertical welding is studied in this paper. The results show that the change of welding process parameters will affect the surface forming and analyze the causes of the influence. At the same time, the causes of the non-fusion of the side wall and the right angle region of the two sides of the groove during vertical downward welding are analyzed and the solutions are put forward. Secondly, based on the analysis of the arc sensing characteristics of the welding sensing signal, if we want to realize the welding seam tracking control, we must extract the characteristic signal from the welding sensing signal that can accurately reflect the welding torch height change. Based on the study of the arc sensing characteristics of welding sensing signals, the basic mean current signals reflecting the variation of welding torch height are extracted as characteristic signals in this paper. Finally, because of the interference of various factors in the actual welding process, the collected welding arc signal is seriously disturbed. In order to obtain accurate weld deviation information, the signal must be filtered to improve its quality. In order to solve this problem, a combined filtering method is proposed to filter the base mean current signal, and the simulation is carried out in MATLAB. The feasibility of the filtering method is verified by experiments.
【學(xué)位授予單位】:天津工業(yè)大學(xué)
【學(xué)位級別】:碩士
【學(xué)位授予年份】:2017
【分類號】:TG409
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