文献类型：期刊文献

英文题名：Optimal Configuration Strategies for Multiple Active Infrared Thermography in Defect Detection of Silicone Rubber-Epoxy Bonded Composite Materials

作者：Tu, Yanxin[1]; Cao, Bin[1]; Jiang, Zhuojun[1]; Liu, Lishuai[2]; Mei, Hongwei[1]; Wang, Liming[1]

机构：[1] Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen, 518055, China; [2] Shanghai Key Laboratory of Intelligent Sensing and Detection Technology, School of Mechanical and Power Engineering, East China University of Science and Technology, Shanghai, 200237, China

年份：2024

外文期刊名：SSRN

收录：EI(收录号：20240258220)

语种：英文

外文关键词：Defects - Excited states - Feature extraction - Frequency modulation - Rubber - Silicones - Thermography (imaging)

摘要：This paper investigates using multiple active infrared thermography (AIT) to detect internal defects in silicone rubber-epoxy bonded composite materials. Key modules and thermal wave features in AIT were examined, leading to an optimized configuration scheme. Initially, a thermal response model under multimodal photothermal excitation and various feature extraction algorithms were developed. Subsequently, for single frequency (SF) and step heating excitations, the effects of modulation frequency and excitation time on feature imaging results were analyzed, leading to the proposal of optimal configuration choices. Following that, a comparative study on the imaging effects of linear and logarithmic frequency modulation signals across different frequency bands was conducted. Lastly, a comparative analysis and theoretical examination of the optimal modulation methods among different thermal excitation modulations were performed. The results reveal that the SF thermal excitation modulation method, matching the defect depth's thermal wave frequency, provides the best detection performance. ? 2024, The Authors. All rights reserved.