MODELING AND GENETIC ALGORITHM INTER-RELATIONSHIP-OPTIMIZED PLASMA-SPRAYED IN718 THERMAL BARRIER COATING STRUCTURE

Vijay Kumar Dwivedi, Priyanka Sharma and Dipak Kumar
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Vijay Kumar Dwivedi: MED, GLA University, Mathura 281406, UP, India
Priyanka Sharma: MED, GLA University, Mathura 281406, UP, India
Dipak Kumar: ��MED, Raj Kumar Goel Institute of Technology (RKGIT), Ghaziabad 201003, UP, India

Surface Review and Letters (SRL), 2022, vol. 29, issue 07, 1-12

Abstract: Current paper comprises the inter-relationship between second-order regression modeling and genetic algorithm (GA)-based optimization of air plasma deposited with improved thermal barrier coating (TBC) systems structures. For developing the regression model, experiments were performed as per L27 orthogonal array, and models were established by MINITAB software. The regression models have been found satisfactory for predicting the responses at 99% confidence level. GA optimization showed a 14.86% improvement in hardness and a 15.99% reduction in roughness. The optimal level of air plasma spraying (APS) parameters was obtained as 8 number of spraying layers, 70V of accelerating voltage, 600A of Arc current, 30mm/s of travel speed, 100mm of spray distance, 25g/min of powder feed rate, 4J/min of carrier gas flow rate, and 55L/min of primary gas flow rate for maximum hardness and minimum roughness.

Keywords: Air plasma spraying (APS); thermal barrier coating (TBC); Inconel718; optimization; analysis of variance (ANOVA); regression model (search for similar items in EconPapers)
Date: 2022
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DOI: 10.1142/S0218625X22500925

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