Optimization of Material Composition of FGM Coating under Steady Heat Flux Loading by Micro-Genetic Algorithms
Optimization of Material Composition of FGM Coating under Steady Heat Flux Loading by Micro-Genetic Algorithms
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DOI：
10.4028/www.scientific.net/msf.492-493.441
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发表时间：
2005-04
期刊：
影响因子：
--
通讯作者：
Jian Ping Wang;Gang Chen;P. Zhai
中科院分区：
文献类型：
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作者：
Jian Ping Wang;Gang Chen;P. Zhai
本文研究了稳定热流载荷下功能梯度材料（FGM）涂层成分分布的优化问题。本文的研究对象是表面具有FGM涂层的无限平板基材。这些材料通过稳定的高强度热通量输入在陶瓷表面（上侧）加热，并通过流动的液氮在金属表面（下侧）冷却。通过公式得到热应力分布和温度分布。为了优化，设计变量是每个中间层的厚度和涂层的体积分数分布。目标函数为危险系数，限制条件为FGM板总厚度和隔热系数。本文考虑并比较了三种不同的优化方案。 µGA 和相关参数进行了详细讨论。通过 µGA 优化热应力分布并最小化危险系数。得到了成分分布的优化结果，结果表明，最佳成分分布可以显着降低危险系数。
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.