Defect Location Analysis of CFRP Plates Based on Morphological Filtering Technique
Carbon fiber reinforced polymers (CFRP) have become an essentials structural material in advanced manufacturing sectors, including new-energy vehicles and precision equipment, owing to their superior strength-to-weight ratio, exceptional fatigue resistance, and lightweight characteristics. However,...
Saved in:
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
IEEE
2025-01-01
|
| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/11008626/ |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1849689636856659968 |
|---|---|
| author | Yanlai Peng Zhenyu Wu Xiaoying Cheng Lin Shi |
| author_facet | Yanlai Peng Zhenyu Wu Xiaoying Cheng Lin Shi |
| author_sort | Yanlai Peng |
| collection | DOAJ |
| description | Carbon fiber reinforced polymers (CFRP) have become an essentials structural material in advanced manufacturing sectors, including new-energy vehicles and precision equipment, owing to their superior strength-to-weight ratio, exceptional fatigue resistance, and lightweight characteristics. However, CFRP components are prone to developing surface defects, such as microcracks, interlinear delamination, and porosity, during both manufacturing processes and their service life. These millimeter-scale imperfections can reduce structural integrity by up to 60%, potentially leading to catastrophic failures in safety-critical applications. Current nondestructive evaluation methods face challenges in reliably distinguishing genuine defects from surface texture artifacts while maintaining operational efficiency. In this study, we propose a novel defect localization method for CFRP plates using an advanced morphological filtering technique. The proposed approach employs opening and closing operations to effectively separate genuine defects from noise artifacts. A subsequent defec-region decision model was established to accurately identify and localize the damage features. The experimental results demonstrate that the method achieves rapid and precise localization of surface defects on CFRP plates, significantly enhancing detection accuracy and efficiency. This method not only overcomes the limitations of traditional inspection techniques but also provides a robust solution for real-time quality assessment in industrial applications. |
| format | Article |
| id | doaj-art-c0ea3f3b366d41a2a42ee6a8eb679b4b |
| institution | DOAJ |
| issn | 2169-3536 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj-art-c0ea3f3b366d41a2a42ee6a8eb679b4b2025-08-20T03:21:33ZengIEEEIEEE Access2169-35362025-01-0113910659106910.1109/ACCESS.2025.357213811008626Defect Location Analysis of CFRP Plates Based on Morphological Filtering TechniqueYanlai Peng0https://orcid.org/0009-0003-4199-374XZhenyu Wu1https://orcid.org/0000-0003-2819-6343Xiaoying Cheng2Lin Shi3National Faculty of Mechanical Engineering and Automation, Zhejiang Sci-Tech University, Hangzhou, ChinaNational Faculty of Mechanical Engineering and Automation, Zhejiang Sci-Tech University, Hangzhou, ChinaNational Faculty of Mechanical Engineering and Automation, Zhejiang Sci-Tech University, Hangzhou, ChinaNational Faculty of Mechanical Engineering and Automation, Zhejiang Sci-Tech University, Hangzhou, ChinaCarbon fiber reinforced polymers (CFRP) have become an essentials structural material in advanced manufacturing sectors, including new-energy vehicles and precision equipment, owing to their superior strength-to-weight ratio, exceptional fatigue resistance, and lightweight characteristics. However, CFRP components are prone to developing surface defects, such as microcracks, interlinear delamination, and porosity, during both manufacturing processes and their service life. These millimeter-scale imperfections can reduce structural integrity by up to 60%, potentially leading to catastrophic failures in safety-critical applications. Current nondestructive evaluation methods face challenges in reliably distinguishing genuine defects from surface texture artifacts while maintaining operational efficiency. In this study, we propose a novel defect localization method for CFRP plates using an advanced morphological filtering technique. The proposed approach employs opening and closing operations to effectively separate genuine defects from noise artifacts. A subsequent defec-region decision model was established to accurately identify and localize the damage features. The experimental results demonstrate that the method achieves rapid and precise localization of surface defects on CFRP plates, significantly enhancing detection accuracy and efficiency. This method not only overcomes the limitations of traditional inspection techniques but also provides a robust solution for real-time quality assessment in industrial applications.https://ieeexplore.ieee.org/document/11008626/CFRPdefect localizationmorphological filteringstructural elements |
| spellingShingle | Yanlai Peng Zhenyu Wu Xiaoying Cheng Lin Shi Defect Location Analysis of CFRP Plates Based on Morphological Filtering Technique IEEE Access CFRP defect localization morphological filtering structural elements |
| title | Defect Location Analysis of CFRP Plates Based on Morphological Filtering Technique |
| title_full | Defect Location Analysis of CFRP Plates Based on Morphological Filtering Technique |
| title_fullStr | Defect Location Analysis of CFRP Plates Based on Morphological Filtering Technique |
| title_full_unstemmed | Defect Location Analysis of CFRP Plates Based on Morphological Filtering Technique |
| title_short | Defect Location Analysis of CFRP Plates Based on Morphological Filtering Technique |
| title_sort | defect location analysis of cfrp plates based on morphological filtering technique |
| topic | CFRP defect localization morphological filtering structural elements |
| url | https://ieeexplore.ieee.org/document/11008626/ |
| work_keys_str_mv | AT yanlaipeng defectlocationanalysisofcfrpplatesbasedonmorphologicalfilteringtechnique AT zhenyuwu defectlocationanalysisofcfrpplatesbasedonmorphologicalfilteringtechnique AT xiaoyingcheng defectlocationanalysisofcfrpplatesbasedonmorphologicalfilteringtechnique AT linshi defectlocationanalysisofcfrpplatesbasedonmorphologicalfilteringtechnique |