Scholarlink

<p>This article presents a high-speed z-shaped laser point scanning thermography detection method and its corresponding experimental system. The system is designed for the rapid inspection of specimens. By analyzing the thermal response of the z-shaped scan thermography, a thermal response signal reconstruction method based on the restored pseudo heat flux (RPHF) theory, which is autocorrelated RPHF (RPHF-autocorr), is proposed, and the principle of the process is discussed. Additionally, the proposed method corrects the speckle and time offsets in the point laser scanning infrared thermal imaging. Experiments were conducted on carbon fiber reinforced polymer (CFRP) composites, where the raw thermal images are obtained and processed using the proposed algorithm. The signal-to-noise ratio (SNR) of defects is calculated and used to evaluate the defect detectability. The results are compared to the pseudo-static matrix reconstruction time truncation (PSMRT) and PSMRT pulse phase thermography (PSMRT-PPT). The experimental results show that the RPHF-autocorr algorithm provides a relatively high SNR. In summary, the RPHF-autocorr algorithm significantly improves the SNR of defects, increases defect detection sensitivity, and reduces the impact of lateral thermal diffusion caused by the moving laser spot.</p>

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

High-speed Z-shaped Laser Point Scanning for Thermographic Detection of CFRP Defects

  • 期刊论文

  • 发表日期：

    2025年12月1日

查看全文
  • Shuaishuai Gao,
  • Chao Zhang,
  • Chenghao Yang,
  • Ziwen Chen,
  • Jinhao Qiu

摘要

This article presents a high-speed z-shaped laser point scanning thermography detection method and its corresponding experimental system. The system is designed for the rapid inspection of specimens. By analyzing the thermal response of the z-shaped scan thermography, a thermal response signal reconstruction method based on the restored pseudo heat flux (RPHF) theory, which is autocorrelated RPHF (RPHF-autocorr), is proposed, and the principle of the process is discussed. Additionally, the proposed method corrects the speckle and time offsets in the point laser scanning infrared thermal imaging. Experiments were conducted on carbon fiber reinforced polymer (CFRP) composites, where the raw thermal images are obtained and processed using the proposed algorithm. The signal-to-noise ratio (SNR) of defects is calculated and used to evaluate the defect detectability. The results are compared to the pseudo-static matrix reconstruction time truncation (PSMRT) and PSMRT pulse phase thermography (PSMRT-PPT). The experimental results show that the RPHF-autocorr algorithm provides a relatively high SNR. In summary, the RPHF-autocorr algorithm significantly improves the SNR of defects, increases defect detection sensitivity, and reduces the impact of lateral thermal diffusion caused by the moving laser spot.