Comparison of Response Surface Methodology and Genetic Algorithm in Parameter Optimization of Laser Welding Process

2018 ◽  
Vol 12 (1) ◽  
pp. 239-248 ◽  
Author(s):  
K. Vijayan ◽  
P. Ranjithkumar ◽  
B. Shanmugarajan
Keyword(s):  
Genetic Algorithm ◽  
Response Surface Methodology ◽  
Laser Welding ◽  
Response Surface ◽  
Parameter Optimization ◽  
Welding Process ◽  
Laser Welding Process

Optimization for Laser Welding Fillet Joint Based on Response Surface Method

2011 ◽  
Vol 211-212 ◽  
pp. 1110-1114
Author(s):  
Xiao Yun Zhang ◽  
Yan Song Zhang
Keyword(s):  
Laser Welding ◽  
Response Surface ◽  
Weld Seam ◽  
Welding Process ◽  
Galvanized Steel ◽  
Plant Production ◽  
Welding Parameters ◽  
Technical Instructions ◽  
Fillet Joint ◽  
Laser Welding Process

The wide use of galvanized steel in automobile manufacturing brings much challenge to the roof to body-side laser welding process. Fillet joint is an effective way to solve this problem such as pore in laser welding process. However, there is little research on this type of complicated joint process. Focused on this problem, take metallographic size of weld seam as the weld quality criteria, response surface methodology (RSM) is used to study the influence of laser welding parameters on weld seam quality. Finally, the optimum welding parameters are concluded to give technical instructions for the plant production.

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