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Estimation of thermal conductivity, heat transfer coefficient, and heat flux using a three dimensional inverse analysis

机译:使用三维逆分析估算导热系数,传热系数和热通量

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This paper presents a numerical inverse analysis to estimate the thermal conductivity, the heat transfer coefficient, and the heat flux in three dimensional irregular bodies in steady state heat conduction problems. In this study, a 3-D elliptic grid generation technique is used to mesh the irregular body. The 3-D Laplace equation is solved in the computational domain to compute the temperature at any grid point in the meshed body. A novel and very efficient sensitivity analysis scheme is introduced to compute the sensitivity coefficients in gradient based optimization method. Using this sensitivity analysis scheme, one can solve the inverse problem without need to the solution of adjoint equation. The main advantages of the sensitivity analysis scheme are its simplicity, accuracy, and independency of the number of the direct problem solution from the number of the unknown variables which makes the numerical inverse analysis presented here very accurate and efficient. The conjugate gradient method (CGM) is used to minimize the objective function which is the difference between the computed temperature on part of the boundary and the measured temperature. The obtained results confirm that the proposed algorithm is very accurate, robust, and efficient. (C) 2015 Elsevier Masson SAS. All rights reserved.
机译:本文提出了一种数值逆分析方法,以估计稳态导热问题中三维不规则物体的导热系数,传热系数和热通量。在这项研究中,使用3-D椭圆网格生成技术对不规则物体进行网格划分。在计算域中求解3-D Laplace方程,以计算网格物体中任意网格点的温度。提出了一种新颖,高效的灵敏度分析方案,以基于梯度的优化方法计算灵敏度系数。使用这种灵敏度分析方案,可以解决反问题,而无需求解伴随方程。灵敏度分析方案的主要优点是简单,准确,并且直接问题解决方案的数量与未知变量的数量无关,这使得此处提出的数值逆分析非常准确和高效。共轭梯度法(CGM)用于最小化目标函数,该目标函数是边界部分的计算温度与测量温度之间的差。获得的结果证实了所提出的算法非常准确,健壮和有效。 (C)2015 Elsevier Masson SAS。版权所有。

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