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Robotic Ultrasonic Testing Technology for Aero-Engine Blades
With the rapid development of the aerospace industry, the quality inspection of complex curved components, such as aero-engine blades, is becoming increasingly strict. In contrast with other NDT methods, ultrasonic testing is easier to automate, while offering higher accuracy and efficiency in thick...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10099332/ https://www.ncbi.nlm.nih.gov/pubmed/37050789 http://dx.doi.org/10.3390/s23073729 |
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author | Ma, Pengzhi Xu, Chunguang Xiao, Dingguo |
author_facet | Ma, Pengzhi Xu, Chunguang Xiao, Dingguo |
author_sort | Ma, Pengzhi |
collection | PubMed |
description | With the rapid development of the aerospace industry, the quality inspection of complex curved components, such as aero-engine blades, is becoming increasingly strict. In contrast with other NDT methods, ultrasonic testing is easier to automate, while offering higher accuracy and efficiency in thickness measuring. To solve the challenge of the automated NDT inspection of aero-engine blades, in this study, an ultrasonic inspection system with a six degree of freedom (DOF) was proposed for industrial robots. Additionally, a defect detection model and a thickness detection method were proposed for the robotic ultrasonic inspection system, based on the thickness variation of the aero-engine blade. Through the quantitative analysis on engine blades with prefabricated defects and curved test blocks with stepped thicknesses, it can be concluded that our system is able to achieve high accuracy in defect detection and thickness measurement. |
format | Online Article Text |
id | pubmed-10099332 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-100993322023-04-14 Robotic Ultrasonic Testing Technology for Aero-Engine Blades Ma, Pengzhi Xu, Chunguang Xiao, Dingguo Sensors (Basel) Article With the rapid development of the aerospace industry, the quality inspection of complex curved components, such as aero-engine blades, is becoming increasingly strict. In contrast with other NDT methods, ultrasonic testing is easier to automate, while offering higher accuracy and efficiency in thickness measuring. To solve the challenge of the automated NDT inspection of aero-engine blades, in this study, an ultrasonic inspection system with a six degree of freedom (DOF) was proposed for industrial robots. Additionally, a defect detection model and a thickness detection method were proposed for the robotic ultrasonic inspection system, based on the thickness variation of the aero-engine blade. Through the quantitative analysis on engine blades with prefabricated defects and curved test blocks with stepped thicknesses, it can be concluded that our system is able to achieve high accuracy in defect detection and thickness measurement. MDPI 2023-04-04 /pmc/articles/PMC10099332/ /pubmed/37050789 http://dx.doi.org/10.3390/s23073729 Text en © 2023 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 Ma, Pengzhi Xu, Chunguang Xiao, Dingguo Robotic Ultrasonic Testing Technology for Aero-Engine Blades |
title | Robotic Ultrasonic Testing Technology for Aero-Engine Blades |
title_full | Robotic Ultrasonic Testing Technology for Aero-Engine Blades |
title_fullStr | Robotic Ultrasonic Testing Technology for Aero-Engine Blades |
title_full_unstemmed | Robotic Ultrasonic Testing Technology for Aero-Engine Blades |
title_short | Robotic Ultrasonic Testing Technology for Aero-Engine Blades |
title_sort | robotic ultrasonic testing technology for aero-engine blades |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10099332/ https://www.ncbi.nlm.nih.gov/pubmed/37050789 http://dx.doi.org/10.3390/s23073729 |
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