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ISSN 2063-5346
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APPLICATION OF GREY-TAGUCHI ANALYSIS OPTIMIZATION METHOD FOR THERMAL SPRAY COATINGS

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Nguyen Thanh Phu
» doi: 10.31838/ecb/2023.12.s3.289

Abstract

This paper presents the application of the multi-objective optimization method by Grey –Taguchi analysis to study the simultaneous influence of HVOF spray parameters in order to simultaneously improve the properties of the WC-12Co coating on inner cylinder surface of S40C Steel Pipe includes Hardness, adhesion strength, porosity. The spray parameters studied include spray distance (L), powder feed rate (P), relative movement speed between the nozzle and the surface of the substrate (V). The Grey relation coefficients simultaneously represent the investigated coating properties based on experimental results determined and optimized by the Taguchi method. Optimal results determined L2P1V3 with L2= 0.25m, P1 = 20g/min; V3 = 0.2 m.s-1 is the spray parameter for the largest Grey coefficient (0.79), which is the optimal multi-objective parameter to be determined. The experimental verification that the coating properties were improved simultaneously with: hardness is 1315.2 HV, adhesion strength is 64.5 MPa, coating porosity is 1.51%. The influence of each spray parameter on the coating properties is also studied based on the Gray relation coefficient, which is also determined by ANOVA analysis of variance such as: L is 36.4 %, P is 15.5% , V is 46.6 %, the error effect is not significant with 1.5 %. This study has provided a method to simultaneously improve the efficient output properties including the application of thermal spray technology.

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