Automatic inspection system of aeroengine cooling hole based on gas excitation and infrared images
文献类型： 外文期刊
作者： Liu, Bo 1 ; Kuang, Fuming 2 ; Ge, Chao 2 ; He, Qing 1 ;
作者机构： 1.Chinese Acad Agr Mechanizat Sci, Funct Coating & EquipmentTechnol Inst, Beijing, Peoples R China
2.Chinese Acad Agr Mechanizat Sci, Engn Res Ctr Hightemperature Protect Coating Techn, Beijing, Peoples R China
关键词： film cooling holes; inspection system; thermal excitation; image preprocessing; diameter measurement
期刊名称：MEASUREMENT SCIENCE AND TECHNOLOGY （ 影响因子：3.4； 五年影响因子：2.9 ）
ISSN： 0957-0233
年卷期： 2025 年 36 卷 7 期
页码：
收录情况： SCI
摘要： Film cooling holes are critical for reducing surface temperature and prolonging the service life of turbine blades in aeroengines. These holes are prone to defects such as shrinkage cavities and blockages after coating or long-term use. To address this, we propose an automated inspection system based on infrared image sequences generated by gas thermal excitation, integrating a robotic arm, an infrared camera, and deep learning techniques. A key innovation of our system is a dedicated image preprocessing pipeline designed to enhance the detectability of film cooling holes. This includes temporal differentiation to highlight dynamic thermal behavior, and local patch-based normalization to amplify grayscale contrast between the holes and their surroundings, thereby improving detection sensitivity and robustness. The system workflow includes: (1) analyzing the response of different blade types to various excitation signals; (2) collecting infrared sequences with a robotic arm to build a comprehensive dataset; and (3) applying deep learning algorithms, combined with the preprocessing techniques, for accurate localization and diameter estimation. Comparative experiments confirm the superiority of our approach over traditional inspection methods.
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