Open AccessOptimization of Welding Input Parameters Using PSO Technique for Minimizing HAZ Width in GMAW
Author(s) -
Mohamed Mezaache,
Badreddine Babes,
Souad Chaouch
Publication year - 2022
Publication title -
periodica polytechnica. mechanical engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.259
H-Index - 16
eISSN - 1587-379X
pISSN - 0324-6051
DOI - 10.3311/ppme.14127
Subject(s) - welding , particle swarm optimization , gas metal arc welding , nozzle , matlab , mechanical engineering , process (computing) , computer science , arc welding , materials science , engineering , algorithm , operating system
In order to conceive command systems for welding equipment based on intelligence techniques similar to human thinking; it is better to use artificial intelligence methods, for example: Genetic algorithms and particle swarm optimization. Freshly, this latter has received increased attention in many research fields. This paper discuss the application of particle swarm optimization algorithm to optimize the welding process parameters and obtain a better Width of Head Affected Zone (WHAZ) in the welding machine which is gas metal arc welding. The effect of four main welding variables in the gas metal arc welding process, namely welding speed, welding voltage, nozzle-to-plate distance and wire feed speed on the WHAZ are studied. A source code is developed in MATLAB 8.3 to perform the optimization.