Process parameter optimisation for plasma sprayed nanostructured ZrO₂-7%Y₂O₃ coatings based on PSO algorithm
by Bin Yang; Hongwei Zhao; Yingfu Zhang
International Journal of Materials and Product Technology (IJMPT), Vol. 51, No. 3, 2015

Abstract: The process parameters of plasma sprayed nanostructured ZrO₂-7%Y₂O₃ coatings were optimised based on a particle swarm optimisation (PSO) algorithm. A BP neural network was applied to compute the fit of the PSO algorithm, and was assembled with four process parameters which included spraying distance, spraying electric current, primary gas pressure, and secondary gas pressure as the inputs; the bonding strength of the coating was the output. The results of the PSO algorithm and BP neural network show that the maximal bonding strength of the coatings was 42.5822 MPa. And the optimal process parameters discovered in this research for the plasma sprayed nanostructured ZrO₂-7%Y₂O₃ coatings are a spraying distance of 80 mm, spraying electric current of 994.3707 A, primary gas pressure of 0.2575 MPa, and secondary gas pressure 1.1611 MPa.

Online publication date: Tue, 06-Oct-2015

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