scholarly journals Multiscale feature extraction and its application in the weld seam quality prediction for plasma arc welding

Author(s):  
Hao Dong ◽  
Yan Cai ◽  
Zihan Li ◽  
Xueming Hua
2021 ◽  
Author(s):  
Hao Dong ◽  
Cai Yan ◽  
Zihan Li ◽  
Xueming Hua

Abstract Weld seam quality prediction is important for intelligent robot welding. Current models with single scale feature extraction methods meet difficulty when facing complex physical instability in welding process. In this paper, a novel feature extraction method based on sliding multiscale windows is proposed to improve model accuracy and calculation speed. A group of windows with different width are established to extract multiscale information of complex objective. Windows slide throughout process and be synchronized on the timeline for feature correlation. Based on the feature vector extracted from multiscale-windows, Support vector machine (SVM) with radial basis function (RBF) kernel is used after signal denoising and dimension reduction by Primary components analysis (PCA). The best window width is determined by model training. The proposed method is used to predict seam quality for Plasma arc welding (PAW) in the field of shipbuilding. The results show that the model with multiscale feature extraction is helpful to improve prediction precision and recall ratio.


Materials ◽  
2021 ◽  
Vol 14 (3) ◽  
pp. 703
Author(s):  
Junnan Qiao ◽  
Chuansong Wu ◽  
Yongfeng Li

The acoustic radiation force driving the plasma jet and the ultrasound reflection at the plasma arc-weld pool interface are considered to modify the formulas of gas shear stress and plasma arc pressure on the anode surface in ultrasonic-assisted plasma arc welding (U-PAW). A transient model taking into account the dynamic changes of heat flux, gas shear stress, and arc pressure on the keyhole wall is developed. The keyhole and weld pool behaviors are numerically simulated to predict the heat transfer and fluid flow in the weld pool and dynamic keyhole evolution process. The model is experimentally validated. The simulation results show that the acoustic radiation force increases the plasma arc velocity, and then increases both the plasma arc pressure and the gas shear stress on the keyhole wall, so that the keyholing capability is enhanced in U-PAW.


Sign in / Sign up

Export Citation Format

Share Document