为了促进红外检测技术在材料导热系数检测上的研究, 提出了依据相位为识别条件的共轭梯度反演算法。针对研究问题, 建立了二维导热问题下的材料等效导热系数分布的红外检测模型, 应用有限体积法计算出检测表面的温度分布, 经 FFT(Fast Fourier Transform)变换, 得到检测表面的相位分布, 以此相位为识别条件, 采用共轭梯度算法实现了对材料等效导热系数分布的定量检测, 并采用数值实验验证了检测方法的有效性。

A phase-based conjugate gradient recognition algorithm was proposed to facilitate the research of infrared detection in the quantitative identification of the thermal conductivity of a material. In view of the research problem, the infrared detect model of distribution of the effective thermal conductivity of material in two-dimensional heat conduction was established. According Using the finite volume method, the distribution of the temperature was solved, and then the phase of the inspection surface was obtained using a fast Fourier transform for the temperature of the detection surface. Based on the phase for the input parameter, a quantitative detection method distribution of the effective thermal conductivity of a material was proposed using a conjugate gradient algorithm. The effectiveness of the quantitative detection method was confirmed by numerical experimentation.