脉冲热成像涂层测厚的仿真与实验研究
Simulation and Experimental Research on Coating Thickness Measurement by Pulsed Thermal Imaging
摘要: 本文通过COMSOL物理场仿真，系统分析了涂层厚度、基底厚度、涂层材料及基底材料四个关键参数对涂层表面温度场的独立影响机制，揭示了各因素对热传导过程的作用机理。实验上利用脉冲光源辐照待测样品，并基于100~203 μm厚度范围的聚氨酯漆涂层训练集，提取其中心区域温度的时序数据建立多项式厚度测量模型，并利用独立测试集开展盲样验证，实现了平均预测准确率大于95%的涂层厚度无损检测。
Abstract: This article uses COMSOL for physical field simulation. The independent influence mechanisms of four key parameters, namely coating thickness, substrate thickness, coating material, and substrate material, on the surface temperature field of the coating were systematically analyzed. It reveals the mechanism of each factor’s influence on the heat conduction process. In the experiment, the sample to be tested was irradiated by a pulsed light source. Based on the training set of polyurethane paint coatings with a thickness range of 100~203 μm, the time series data of the central area temperature were extracted to establish a polynomial thickness measurement model. A blind sample verification was conducted using an independent test set, achieving an average prediction accuracy of more than 95% for non-destructive coating thickness measurement.
文章引用：周靖泽, 徐立君. 脉冲热成像涂层测厚的仿真与实验研究[J]. 建模与仿真, 2026, 15(1): 9-18. https://doi.org/10.12677/mos.2026.151002

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