红外技术2018，Vol.40Issue(1)：85-90,6.
基于红外测温数据的亚表面缺陷的反演方法
An Inversion Algorithm for the Subsurface Defect Based on Infrared Temperature Measurement
摘要
Abstract
The research on inverse heat conduction is the theoretical basis of quantitative estimation and identification technology of subsurface defects. An inversion algorithm to characterize depth of subsurface defects in materials is presented. A one-dimensional heat transfer model of semi-infinite material containing a subsurface cylinder was developed and the Levenberg–Marquardt (LM) method was applied to the quantitative detection procedure. The analytical solution for the forward study based on non-Fourier law was employed in the proposed method as the experimental data. The effects of such parameters as initial guess, incident frequency, and thermal diffusion length on the inversion results were examined. Moreover, the comparison between the LM algorithm, the steepest descent method, and the Newton's method were discussed at the end of the paper to certify the superiority of the LM algorithm. The results of this work are summarized as follows. The reliability and applicability of the LM method applied to pulsed thermography are verified. The inversion accuracy of the results is high in different initial assumption. Thermophysical parameters such as incident frequency and thermal diffusion length do not affect the final inversion results, but the rate of convergence may be affected. Compared with the steepest descent method and the Newton's method, the LM method has a wider convergence range.关键词
热传导逆问题/非傅里叶导热/亚表面缺陷/Levenberg-Marquart法Key words
inverse problem of heat conduction/non-Fourier law/subsurface defect/Levenberg-Marquart method分类
能源科技引用本文复制引用
马晓波,王青青..基于红外测温数据的亚表面缺陷的反演方法[J].红外技术,2018,40(1):85-90,6.基金项目
国家自然科学基金项目(51276129). （51276129）
