Global Journal of Technology and Optimization

Department of Mechanical Engineering, Serbia University of Kragujevac, Jovana, Serbia

Publications

• Mini Review   
  Prediction of weld area based on image recognition and machine learning
  Author(s): Milorad Bojic*
  
  Modern aluminium alloy welding techniques like laser oscillation welding can successfully reduce weld porosity brought on by the physical and chemical characteristics of aluminium alloy. Since it has a significant impact on the mechanical qualities of welded connections, the weld area is frequently used as an evaluation index of geometric attributes to assess the welding quality. In this paper, a method for predicting the weld area for laser oscillation welding of 6061 aluminium alloy is proposed. The cross-sectional area of the weld is computed using image recognition technology from the metallographic micrographs of welding trials, and the inaccuracy of the recognised weld area is less than 8.8%. Additionally, alternative prediction models for the weld area are created by machine learning methods, such as linear regression, under varied process circumstances... Read More»
  

  Abstract PDF