A quantitative evaluation method of arc welding process stability based on arc sound

Abstract

The invention discloses a quantitative evaluation method of the arc welding process stability based on an electric arc sound. The method concretely comprises the steps of: carrying out short-term energy calculation on a de-noised electric arc sound signal, drawing a probability cumulative distribution map and a probability distribution histogram by utilizing a statistical index; calculating the stage slope of a probability cumulative distribution curve and a probability distribution maximal value of energy, and finally achieving welding process stability evaluation through the designed electric arc sound evaluation index (ASST). According to the invention, short-tem energy and a statistical theory are combined to design a welding process stability evaluation system of the electric arc sound; two situations of distribution and variation trend of the electric arc sound energy are comprehensively considered, and the welding process stability evaluation index based on the short-term energy is automatically designed. According to the method disclosed by the invention, the stability degree of the arc welding process can be effectively quantified by the electric arc sound.

Description

technical field [0001] The invention belongs to the field of arc welding quality evaluation, in particular to a quantitative evaluation method for realizing the stability evaluation of the welding process by utilizing the arc sound signal in the arc welding process. Background technique [0002] The arc sound signal generated during the welding process contains a wealth of arc information, which is closely related to arc behavior, droplet transfer mode, arc stability, weld quality, etc. one of the sources of information. Stable welding process, soft and smooth arc sound, little or no spatter. Spatter reduces welding productivity and seriously affects welding quality. When the splash is generated, it will emit a popping sound, which will increase the voltage of the arc sound signal and increase the output energy. Therefore, by analyzing the energy change of the arc acoustic signal, the occurrence and degree of spatter can be observed, and the stability of the welding proce...

AI Technical Summary

Problems solved by technology

[0005] Short-term energy analysis is the basic method of time-domain analysis of speech signals. It is widely used in speech signal detection, speech signal energy distinction, speech recognition, etc. Short-term energy can be used to characterize the stability of arc sound, but only short-term energy Quantitative analysis of welding process stability cannot be realized

[0006] Judging from the currently published literature in China, there is no report on the quantitative evaluation of the stability of the welding process using short-term energy.

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