Process Parameters Optimization of Plasma Spraying Nanostructured Coating Based on Particle Swarm Optimization Algorithm
Abstract
Process parameters of plasma spraying nanostructured Al 2 O 3 -13%TiO 2 (mass fraction) coating were optimized based on particle swarm optimization (PSO) algorithm. BP neural network was applied to compute fitness of PSO algorithm. A BP neural network model was built. Process parameters of coating were optimized based on PSO algorithm. The results shown that maximal bonding strength was 33.08MPa. Process parameters of plasma spraying...
Paper Details
Title
Process Parameters Optimization of Plasma Spraying Nanostructured Coating Based on Particle Swarm Optimization Algorithm
Published Date
Oct 1, 2014
Volume
665
Pages
68 - 71
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