journal article·2025-08-08

Automatic segmentation of microporous defects in composite film materials based on the improved attention U-Net module

Zhiyang Zhang, Jue Hu, Rongbang Wang, Xueyan Chen, Dazhi Yang, Vladimir P. Vavilov, Yuxia Duan, Hai Zhang

Publisher page

Abstract

Composite film materials offer several advantages, such as high strength-to-weight ratios, flexibility, durability, or cost-effectiveness, which make them ideal for a wide range of applications across various industries. However, microporous defects in the material compromise its durability and air-tightness. Thus far, few works have been performed on inquiring non-destructive testing methods intended for the detection of microporous defects in composite film materials. In this study, the automatic detection of microporous defects is achieved by using a thermal imaging inspection system developed on the basis of a laser infrared system and the U-Net. Innovatively, an improved attention module is added to U-Net to boost its detection performance. While using a laser as a heat source, a fibre laser beam shaper is chosen as the laser beam expansion to ensure a uniform intensity distribution of the laser beam within a small heating area. Experimental results show that the proposed method can reliably detect microporous defects in the composite film materials with sizes in the order of millimeters/micrometers.
Source: openalex_inverted_index · Quality: baseline

Research context

OpenAlex topics: Thermography and Photoacoustic Techniques · Industrial Vision Systems and Defect Detection · Photoacoustic and Ultrasonic Imaging

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Harbin Institute of Technology

Central South University

Tomsk Polytechnic University

Funding

National Key Laboratory of Science and Technology on Advanced Composites in Special Environments · Russian Scientific Foundation

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