首页> 外文会议>Annual Symposium on Quantitative Nondestructive Evaluation; 19980719-24; Snowbird,UT(US) >INVERSION FOR MULTI-PARAMETER DEPTH-PROFILES: THERMAL CONDUCTIVITY AND THERMAL IMPEDANCE
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INVERSION FOR MULTI-PARAMETER DEPTH-PROFILES: THERMAL CONDUCTIVITY AND THERMAL IMPEDANCE

机译:多参数深度剖面反演:热导率和热阻抗

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摘要

In this article, the iterative method for reconstruction of thermal conductivity and thermal impedance profiles simultaneously from photoacoustic or photothermal measurement has been developed. Many numerical simulations of inversions for different shapes of thermal conductivity and thermal impedance profiles have been done, which indicate that the iteration procedure is convergent and the algorithm is insensitive to random noise. If the initial distribution does not deviate from the original one too much, a good agreement between the reconstructed and original profiles can be easily obtained. Although the reconstruction is strongly dependent on the choice of the initial profiles, the reconstructed thermal effusivity profiles are always in good agreement with the originals. More details about the effectiveness of the present algorithm will be reported elsewhere.
机译:在本文中,已经开发了从光声或光热测量同时重建热导率和热阻曲线的迭代方法。针对不同形状的热导率和热阻曲线进行了许多反演的数值模拟,这表明迭代过程是收敛的,并且算法对随机噪声不敏感。如果初始分布与原始分布没有太大偏差,则可以轻松获得重建轮廓和原始轮廓之间的良好一致性。尽管重建很大程度上取决于初始轮廓的选择,但是重建的热效率轮廓始终与原始轮廓吻合良好。关于本算法的有效性的更多细节将在其他地方报告。

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