Genetic algorithm based optimization of the process parameters for gas metal arc welding of AISI 904 L stainless steel

• Published in: Journal of mechanical science and technology Vol. 27; no. 8; pp. 2457 - 2465
• Main Authors: Sathiya, P., Ajith, P. M., Soundararajan, R.
• Format: Journal Article
• Language: English
• Published: Dordrecht Springer Netherlands 01.08.2013; Springer Nature B.V; 대한기계학회
• Subjects: Austenitic stainless steels; Beads; Control; Dynamical Systems; Engineering; Gas metal arc welding; Genetic algorithms; Industrial and Production Engineering; Mathematical analysis; Mathematical models; Mechanical Engineering; Penetration; Vibration; Wire; 기계공학; Gas metal arc welding; Genetic algorithm; Box — Behnken design; Optimization; Bead geometry
• ISSN: 1738-494X; 1976-3824
• DOI: 10.1007/s12206-013-0631-8

The present study is focused on welding of super austenitic stainless steel sheet using gas metal arc welding process with AISI 904 L super austenitic stainless steel with solid wire of 1.2 mm diameter. Based on the Box — Behnken design technique, the experiments are carried out. The input parameters (gas flow rate, voltage, travel speed and wire feed rate) ranges are selected based on the filler wire thickness and base material thickness and the corresponding output variables such as bead width (BW), bead height (BH) and depth of penetration (DP) are measured using optical microscopy. Based on the experimental data, the mathematical models are developed as per regression analysis using Design Expert 7.1 software. An attempt is made to minimize the bead width and bead height and maximize the depth of penetration using genetic algorithm.