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表面裂纹深度定量检测的红外成像方法研究
Research on infrared thermography for quantitative detection of surface crack depth
投稿时间:2025-03-14  修订日期:2025-04-27
DOI:
中文关键词:  线激光红外成像  表面裂纹  深度测量  复合材料
英文关键词:laser-line infrared thermography  surface crack  depth measurement  composite material
基金项目:
作者单位邮编
李超逸 江苏大学土木工程与力学学院 212013
刘佳居 江苏大学土木工程与力学学院 212013
朱建国* 江苏大学土木工程与力学学院 212013
卓立军 江苏大学土木工程与力学学院 212013
金恩泽 航天材料及工艺研究所 100076
龚晓冬 航天材料及工艺研究所 100076
刘宏瑞 航天材料及工艺研究所 100076
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中文摘要:
      红外热成像无损检测技术以其非接触、快速、低成本和高精度等优势,在复合材料结构检测领域得到广泛应用。本研究针对复合材料表面裂纹检测难题,提出了一种线性激光热成像无损检测方法,并建立了基于表面最大温度梯度差的裂纹深度表征模型。通过热传导理论分析,深入揭示了表面裂纹对线性热源温度场的扰动机制;结合有限元数值模拟,构建了裂纹深度与最大温度梯度差之间的定量关系模型;最后通过实验验证了该方法在纤维复合材料表面裂纹深度识别中的有效性。实验结果表明,该方法具有较高的测量精度,裂纹深度识别的相对误差小于5%。本研究提出的基于表面最大温度梯度差的裂纹深度表征方法,为工程结构表面裂纹的定量检测提供了一种可靠的新方法,具有重要的工程应用价值。
英文摘要:
      Infrared thermography non-destructive testing technology has been widely used in the detection of composite structures due to its advantages, including non-contact operation, rapidity, low cost, and high precision. To address the challenge of surface crack detection in composite materials, this study proposed a non-destructive testing method based on laser-line thermography and established a crack depth characterization model based on the maximum surface temperature gradient difference. Through theoretical analysis of heat conduction, the mechanism by which surface cracks disturb the temperature field of the linear heat source was thoroughly investigated. Then, combined with finite element numerical simulations, a quantitative relationship model between crack depth and the maximum temperature gradient difference was developed. Finally, the effectiveness of this method for identifying surface crack depth in fiber-reinforced composites was validated through experiments. The experimental results validated that this method achieves high measurement accuracy, with the relative error of crack depth identification below 5%. The crack depth characterization method based on the maximum temperature gradient difference proposed in this study offers a reliable approach for the quantitative detection of surface cracks in engineering structures, demonstrating significant practical application value.
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