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Modeling And Genetic Algorithm Inter-Relationship-Optimized Plasma-Sprayed In718 Thermal Barrier Coating Structure

Author

Listed:
  • 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)

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.

Suggested Citation

  • Vijay Kumar Dwivedi & Priyanka Sharma & Dipak Kumar, 2022. "Modeling And Genetic Algorithm Inter-Relationship-Optimized Plasma-Sprayed In718 Thermal Barrier Coating Structure," Surface Review and Letters (SRL), World Scientific Publishing Co. Pte. Ltd., vol. 29(07), pages 1-12, July.
    • Handle: RePEc:wsi:srlxxx:v:29:y:2022:i:07:n:s0218625x22500925
    DOI: 10.1142/S0218625X22500925
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