An Overview of Technological Parameter Optimization in the Case of Laser Cladding

This review examines the methods used to optimize process parameters of laser cladding, including traditional optimization algorithms such as single-factor, regression analysis, response surface, and Taguchi, well intelligent system neural network models, genetic algorithms, support vector machines, new non-dominance ranking algorithm II, particle swarm algorithms. The advantages disadvantages various cladding are analyzed summarized. Finally, development trend in field is summarized predicted. It believed that result would serve a foundation for future studies on preparation high-quality coatings.