Research on Analysis Window Control of Laser Point-by-Point Scanning Excitation Thermographic Detection

This paper presents a technology based on a laser point-by-point scanning excitation infrared thermography system (LPPS-IRT). It establishes the heat transfer equation for multi-pulse laser heating of materials. The technique involves heating the component point-by-point while acquiring a series of thermograms using an infrared camera. The study proposes a Pseudo-Static Matrix Reconstruction (PSMR) algorithm based on peak alignment and offset. The PSMR algorithm reconstructs the thermal image sequence, transforming the dynamic thermal sequence into a quasi-static form. Additionally, the study investigates the influence of different analysis window durations on defect identification and establishes the optimal range for these windows. Experimental results show that as the analysis window duration increases, the detection results effect gradually improves. When the analysis window is between 40 and 60, the processing effect is optimal, and the SNR for defect detection is highest.

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Publication Details

Published
2025-04-23
DOI
https://doi.org/10.58286/30982
Primary Topic
Advanced Measurement and Detection Methods
Type
article
Field-Weighted Citation Impact
0.00

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Research on Analysis Window Control of Laser Point-by-Point Scanning Excitation Thermographic Detection

Shuaishuai Gao, Hongjin Wang, Jinhao Qiu, Tingting Wu et al.
Advanced Measurement and Detection Methods
article

Research on Analysis Window Control of Laser Point-by-Point Scanning Excitation Thermographic Detection

Shuaishuai Gao, Hongjin Wang, Jinhao Qiu, Tingting Wu, Chao Zhang
article en

Abstract

This paper presents a technology based on a laser point-by-point scanning excitation infrared thermography system (LPPS-IRT). It establishes the heat transfer equation for multi-pulse laser heating of materials. The technique involves heating the component point-by-point while acquiring a series of thermograms using an infrared camera. The study proposes a Pseudo-Static Matrix Reconstruction (PSMR) algorithm based on peak alignment and offset. The PSMR algorithm reconstructs the thermal image sequence, transforming the dynamic thermal sequence into a quasi-static form. Additionally, the study investigates the influence of different analysis window durations on defect identification and establishes the optimal range for these windows. Experimental results show that as the analysis window duration increases, the detection results effect gradually improves. When the analysis window is between 40 and 60, the processing effect is optimal, and the SNR for defect detection is highest.

National Natural Science Foundation of China, Government of Jiangsu Province, Natural Science Foundation of Jiangsu Province, Chinese Aeronautical Establishment
Openalex Percentile: Top 93%
Advanced Measurement and Detection Methods
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