Identification of Remote Laser Welding Parameters for the Gap Control based on Taguchi Method

Abstract

Remote Laser Welding (RLW) is emerging as a powerful and promising joining technology for sheet metal assembly. RLW can easily create joints through robot repositioning and laser beam redirection from a remote distance. To keep or increase RLW quality, tight dimensional control of a part-to-part gap is essential, which can be obtained from correct combination of welding parameters. In this paper, the concept of Taguchi method is used for identifying welding parameters. The signal to noise (S/N) ratio and analysis of variance (ANOVA) are carried out in order to discover the main function and the influence of factors . Therefore, significant parameters affecting the quality of RLW can be clearly identified by using the proposed methods.