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首页> 外文期刊>Numerical Heat Transfer, Part B. Fundamentals: An International Journal of Computation and Methodology >A simplified conjugate-gradient method for shape identification based on thermal data
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A simplified conjugate-gradient method for shape identification based on thermal data

机译：基于热数据的形状识别的共轭梯度简化方法

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摘要

The present study is focused on simplification of the conjugate-gradient method so as to extend the flexibility of the inverse heat transfer method for applications in the shape identification problems associated with various forms of objective functions. The capability of the simplified conjugate-gradient method (SCGM) in seeking the shapes of inner structures is tested for several cases. These test cases use three kinds of thermal data measured on the outer surface of a solid body, including temperature distribution, local heat flux distribution, and the overall heat transfer rate. The aim of these test cases is to identify the boundary of the inner voids in the solid bodies based on the thermal data. Results show that for all test cases, the optimization process leads to acceptable accuracy for the objective functions of different forms. [References: 16]
机译：本研究的重点是简化共轭梯度法，以扩展逆向传热方法在与各种形式的目标函数相关的形状识别问题中的应用的灵活性。针对几种情况，测试了简化的共轭梯度法（SCGM）寻找内部结构形状的能力。这些测试用例使用在固体外表面上测量的三种热数据，包括温度分布，局部热通量分布和总传热率。这些测试用例的目的是基于热数据确定固体内部空隙的边界。结果表明，对于所有测试用例，优化过程都可以为不同形式的目标函数带来可接受的准确性。 [参考：16]

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