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Research on the Weld Position Detection Method for Sandwich Structures from Face-Panel Side Based on Backscattered X-ray
Web-core sandwich panels are a typical lightweight structure utilized in a variety of fields, such as naval, aviation, aerospace, etc. Welding is considered as an effective process to join the face panel to the core panel from the face panel side. However, it is difficult to locate the joint positio...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6679273/ https://www.ncbi.nlm.nih.gov/pubmed/31330774 http://dx.doi.org/10.3390/s19143198 |
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author | Wei, Angang Chang, Baohua Xue, Boce Peng, Guodong Du, Dong Han, Zandong |
author_facet | Wei, Angang Chang, Baohua Xue, Boce Peng, Guodong Du, Dong Han, Zandong |
author_sort | Wei, Angang |
collection | PubMed |
description | Web-core sandwich panels are a typical lightweight structure utilized in a variety of fields, such as naval, aviation, aerospace, etc. Welding is considered as an effective process to join the face panel to the core panel from the face panel side. However, it is difficult to locate the joint position (i.e., the position of core panel) due to the shielding of the face panel. This paper studies a weld position detection method based on X-ray from the face panel side for aluminum web-core sandwich panels used in aviation and naval structures. First, an experimental system was designed for weld position detection, able to quickly acquire the X-ray intensity signal backscattered by the specimen. An effective signal processing method was developed to accurately extract the characteristic value of X-ray intensity signals representing the center of the joint. Secondly, an analytical model was established to calculate and optimize the detection parameters required for detection of the weld position of a given specimen by analyzing the relationship between the backscattered X-ray intensity signal detected by the detector and the parameters of the detection system and specimen during the detection process. Finally, several experiments were carried out on a 6061 aluminum alloy specimen with a thickness of 3 mm. The experimental results demonstrate that the maximum absolute error of the detection was 0.340 mm, which is sufficiently accurate for locating the position of the joint. This paper aims to provide the technical basis for the automatic tracking of weld joints from the face panel side, required for the high-reliability manufacturing of curved sandwich structures. |
format | Online Article Text |
id | pubmed-6679273 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-66792732019-08-19 Research on the Weld Position Detection Method for Sandwich Structures from Face-Panel Side Based on Backscattered X-ray Wei, Angang Chang, Baohua Xue, Boce Peng, Guodong Du, Dong Han, Zandong Sensors (Basel) Article Web-core sandwich panels are a typical lightweight structure utilized in a variety of fields, such as naval, aviation, aerospace, etc. Welding is considered as an effective process to join the face panel to the core panel from the face panel side. However, it is difficult to locate the joint position (i.e., the position of core panel) due to the shielding of the face panel. This paper studies a weld position detection method based on X-ray from the face panel side for aluminum web-core sandwich panels used in aviation and naval structures. First, an experimental system was designed for weld position detection, able to quickly acquire the X-ray intensity signal backscattered by the specimen. An effective signal processing method was developed to accurately extract the characteristic value of X-ray intensity signals representing the center of the joint. Secondly, an analytical model was established to calculate and optimize the detection parameters required for detection of the weld position of a given specimen by analyzing the relationship between the backscattered X-ray intensity signal detected by the detector and the parameters of the detection system and specimen during the detection process. Finally, several experiments were carried out on a 6061 aluminum alloy specimen with a thickness of 3 mm. The experimental results demonstrate that the maximum absolute error of the detection was 0.340 mm, which is sufficiently accurate for locating the position of the joint. This paper aims to provide the technical basis for the automatic tracking of weld joints from the face panel side, required for the high-reliability manufacturing of curved sandwich structures. MDPI 2019-07-20 /pmc/articles/PMC6679273/ /pubmed/31330774 http://dx.doi.org/10.3390/s19143198 Text en © 2019 by the authors. 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 (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Wei, Angang Chang, Baohua Xue, Boce Peng, Guodong Du, Dong Han, Zandong Research on the Weld Position Detection Method for Sandwich Structures from Face-Panel Side Based on Backscattered X-ray |
title | Research on the Weld Position Detection Method for Sandwich Structures from Face-Panel Side Based on Backscattered X-ray |
title_full | Research on the Weld Position Detection Method for Sandwich Structures from Face-Panel Side Based on Backscattered X-ray |
title_fullStr | Research on the Weld Position Detection Method for Sandwich Structures from Face-Panel Side Based on Backscattered X-ray |
title_full_unstemmed | Research on the Weld Position Detection Method for Sandwich Structures from Face-Panel Side Based on Backscattered X-ray |
title_short | Research on the Weld Position Detection Method for Sandwich Structures from Face-Panel Side Based on Backscattered X-ray |
title_sort | research on the weld position detection method for sandwich structures from face-panel side based on backscattered x-ray |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6679273/ https://www.ncbi.nlm.nih.gov/pubmed/31330774 http://dx.doi.org/10.3390/s19143198 |
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