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Defect Detection Method for CFRP Based on Line Laser Thermography

A continuous line laser scanning inspection technique for tracing load-bearing structures was developed and applied to defect detection of unidirectional carbon-fiber-reinforced polymers for aero engines. The heat transfer model of the material was analyzed using the finite element software COMSOL....

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Detalles Bibliográficos
Autores principales: Wang, Quan, Zhang, Zhijie, Yin, Wuliang, Chen, Haoze, Liu, Yushan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9025166/
https://www.ncbi.nlm.nih.gov/pubmed/35457915
http://dx.doi.org/10.3390/mi13040612
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author Wang, Quan
Zhang, Zhijie
Yin, Wuliang
Chen, Haoze
Liu, Yushan
author_facet Wang, Quan
Zhang, Zhijie
Yin, Wuliang
Chen, Haoze
Liu, Yushan
author_sort Wang, Quan
collection PubMed
description A continuous line laser scanning inspection technique for tracing load-bearing structures was developed and applied to defect detection of unidirectional carbon-fiber-reinforced polymers for aero engines. The heat transfer model of the material was analyzed using the finite element software COMSOL. Meanwhile, a laser platform was built and an image algorithm was used to verify the feasibility of the method. The potential of this technique for detecting defects and providing information on the location of defects in carbon fiber composites was analyzed. Results indicate line laser thermal imaging can successfully determine the size, location, and crack angle of surface damage with extremely high accuracy. The positioning accuracy error for impact and fracture defects is less than 20%, and the detection rate can reach 100% if the defect is in the special position of just leaving the heating area. The angle detection of fracture cracks can be accurate within 10°.
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spelling pubmed-90251662022-04-23 Defect Detection Method for CFRP Based on Line Laser Thermography Wang, Quan Zhang, Zhijie Yin, Wuliang Chen, Haoze Liu, Yushan Micromachines (Basel) Article A continuous line laser scanning inspection technique for tracing load-bearing structures was developed and applied to defect detection of unidirectional carbon-fiber-reinforced polymers for aero engines. The heat transfer model of the material was analyzed using the finite element software COMSOL. Meanwhile, a laser platform was built and an image algorithm was used to verify the feasibility of the method. The potential of this technique for detecting defects and providing information on the location of defects in carbon fiber composites was analyzed. Results indicate line laser thermal imaging can successfully determine the size, location, and crack angle of surface damage with extremely high accuracy. The positioning accuracy error for impact and fracture defects is less than 20%, and the detection rate can reach 100% if the defect is in the special position of just leaving the heating area. The angle detection of fracture cracks can be accurate within 10°. MDPI 2022-04-13 /pmc/articles/PMC9025166/ /pubmed/35457915 http://dx.doi.org/10.3390/mi13040612 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Wang, Quan
Zhang, Zhijie
Yin, Wuliang
Chen, Haoze
Liu, Yushan
Defect Detection Method for CFRP Based on Line Laser Thermography
title Defect Detection Method for CFRP Based on Line Laser Thermography
title_full Defect Detection Method for CFRP Based on Line Laser Thermography
title_fullStr Defect Detection Method for CFRP Based on Line Laser Thermography
title_full_unstemmed Defect Detection Method for CFRP Based on Line Laser Thermography
title_short Defect Detection Method for CFRP Based on Line Laser Thermography
title_sort defect detection method for cfrp based on line laser thermography
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9025166/
https://www.ncbi.nlm.nih.gov/pubmed/35457915
http://dx.doi.org/10.3390/mi13040612
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AT yinwuliang defectdetectionmethodforcfrpbasedonlinelaserthermography
AT chenhaoze defectdetectionmethodforcfrpbasedonlinelaserthermography
AT liuyushan defectdetectionmethodforcfrpbasedonlinelaserthermography