RT - Journal Article T1 - Optimization of gas tungsten arc welding (GTAW) to develop the NiAl coating using neural networks and genetic algorithm JF - JWSTI YR - 2016 JO - JWSTI VO - 2 IS - 2 UR - http://jwsti.iut.ac.ir/article-1-98-en.html SP - 56 EP - 70 K1 - Intermetallic NiAl compound K1 - Cladding K1 - Artificial neural networks K1 - Genetic algorithm K1 - High temperature wear AB - In this research, artificial neural network (ANN) and genetic algorithm (GA) were used in order to produce and develop the NiAl intermetallic coating with the best wear behavior and the most value of hardness. The effect of variations of current, voltage and gas flow on the hardness and wear resistance were optimized by ANN and GA. In the following, the optimum values of current, voltage and gas flow were obtained 90(A), 10(v) and 9 (Lit/min), respectively. Then, the wear behavior in the environment temperature and high temperature for optimized NiAl compound was compared with two other experimental samples. LA eng UL http://jwsti.iut.ac.ir/article-1-98-en.html M3 ER -