Stability Analysis of Metal Active-Gas Welding Short-Circuiting Transfer Based on Input Pulsating Energy

• Published in: Materials Vol. 17; no. 2; p. 274
• Main Authors: Lv, Xiaoqing, He, Quanjun, Xu, Lianyong
• Format: Journal Article
• Language: English
• Published: Switzerland MDPI AG 01.01.2024
• Subjects: Algorithms; Analysis; approximate entropy; Approximation; Automation; Cameras; Coefficient of variation; Correlation coefficients; Data acquisition systems; Electric properties; Energy consumption; Entropy; Frequency distribution; Gas welding; Gases; High speed cameras; input pulsating energy interpolation line; Interpolation; Manufacturing; Mathematical analysis; Metal active gas welding; short-circuiting transfer; Signal processing; spectral analysis; Stability analysis; Straight lines; Welding; Welding current; China; spectral analysis; approximate entropy; short-circuiting transfer; input pulsating energy interpolation line
• ISSN: 1996-1944; 1996-1944
• DOI: 10.3390/ma17020274

In this study, a platform for a welding experiment, used to collect input and output electrical signals, was constructed, and the algorithm for the input pulsating energy interpolation line (IPEI) was given. Experiments with MAG surface straight line welding were conducted at various voltages. Analysis of the IPEI in relation to the welding current was performed while combining real-world welding occurrences with high-speed camera images of droplet transfer. It was established that the IPEI can be employed as a characteristic parameter to assess the stability of the short-circuiting transfer process in MAG welding. The three criteria for assessing the stability were the spectrum, approximation entropy, and coefficient of variation. A comparative analysis was conducted on each of these approaches. It was determined that the most effective technique is approximation entropy. The approximation entropy of the welding current and IPEI are also highly consistent, with a correlation coefficient as high as 0.9889.