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Numerical software for the inverse estimation of the temperature-dependent thermal properties in heat conduction

机译:用于反演热传导中与温度相关的热特性的数值软件

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A software application has been developed for the numerical solution of inverse problems in heat conduction. The developed software allows the estimation of specific heat and thermal conductivity both individually and simultaneously -temperature dependent - and allows application of a variety of boundary conditions. The first step is to accurately estimate the starting point, then estimate the thermophysical properties, presenting the solution by a linear function of straight stretches. The input data is the temperature history at a particular location of the solid. The iterative least-squares approach is used to minimize the functional and in all cases a piecewise function is used to approximate the solution. No prior information is used for the functional forms of the unknown specific heat, because this problem is considered a function estimation problem. In all the cases a piece-wise function is used to approximate the solution. The Network Simulation Method is the numerical method used, with a design of the network model made easy, with very few electric devices. The software developed is used to run the network so that no mathematical manipulations are required. The results confirm that it is possible to estimate the thermophysical properties using experimental temperature history and a procedure inverse. As regards the convergence of the solutions, no restrictions concerning the time interval need to be imposed by the user.
机译:已经开发了用于热传导逆问题的数值解的软件应用程序。所开发的软件允许单独且同时估计比热和导热率-取决于温度-并允许应用各种边界条件。第一步是准确估算起点,然后估算热物理性质,并通过直线拉伸的线性函数给出解。输入数据是固体特定位置的温度历史记录。迭代最小二乘方法用于最小化函数,并且在所有情况下都使用分段函数来近似求解。没有先验信息用于未知比热的功能形式,因为此问题被认为是函数估计问题。在所有情况下,都使用分段函数来近似求解。网络仿真方法是所使用的数值方法,通过很少的电气设备就可以简化网络模型的设计。所开发的软件用于运行网络,因此不需要数学操作。结果证实,可以使用实验温度历史记录和逆过程来估算热物理性质。关于解决方案的收敛,用户不需要对时间间隔施加任何限制。

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