Optimization of Material Composition of FGM Coating under Steady Heat Flux Loading by Micro-Genetic Algorithms

Jian Ping Wang; Gang Chen; Peng Cheng Zhai

doi:10.4028/www.scientific.net/MSF.492-493.441

Paper Titles

Machining FGM: Residual Stresses Redistribution
p.415

Finite Element Simulation of Microstresses in a Traditional FGM: The Case of Soft Tribo-Alloys
p.421

Thermo-Mechanical Analysis of RLV Thrust Cell Liners with Homogeneous and Graded Coatings
p.429

Design of Functionally Graded Structures Using Topology Optimization
p.435

Optimization of Material Composition of FGM Coating under Steady Heat Flux Loading by Micro-Genetic Algorithms
p.441

Dynamic Fracture of Functionally Graded Composites Using an Intrinsic Cohesive Zone Model
p.447

The Optimization of Propagation Characteristic of Elastic Wave in FGM
p.453

Numerical Simulation of a Centrifugal Process to Fabricate Permittivity Graded FGM from Alumina/Epoxy Mixture
p.459

Numerical Simulation of Laser Induced Modification Processes of Ceramic Substrates
p.465

HomeMaterials Science ForumMaterials Science Forum Vols. 492-493Optimization of Material Composition of FGM...

Optimization of Material Composition of FGM Coating under Steady Heat Flux Loading by Micro-Genetic Algorithms

Abstract:

This paper studies the optimization problem of composition distribution of functionally graded material (FGM) coating subjected to steady heat flux loading. The investigation object of the paper is an infinite plate substrate with FGM coating in the surface. The materials are heated at the ceramic surface (upside) with a steady high-intensity heat flux input, and cooled at the metal surface (underside) with flowing liquid nitrogen. The thermal stress distribution and the temperature distribution are obtained by formulation. For optimization, the design variables are the thickness of each interlayer and the volume fraction distribution of the coating. The objective function is the danger coefficient and the restricted condition is the total thickness of FGM plate and heat insulation coefficient. In the paper, three different optimization schemes are considered and compared. The µGA and related parameters are discussed in detail. Optimizing the thermal stress distribution and minimizing the danger coefficient are carried out by µGA. The optimization results of composition distribution are gained, and the results show the optimum composition distribution can distinctly reduce the danger coefficient.

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Materials Science Forum (Volumes 492-493)

Pages:

441-446

DOI:

https://doi.org/10.4028/www.scientific.net/MSF.492-493.441

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Online since:

August 2005

Authors:

Jian Ping Wang, Gang Chen, Peng Cheng Zhai

Keywords:

Functionally Graded Material (FGM), Heat Flux, Micro-Genetic Algorithms, Optimization, Thermal Barrier Coating (TBC), Thermal Stress

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