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In-Line Wood Defect Detection Using Simple Scalar Network Analyzer
Timber is widely used in new structures. The leading causes of structural failure are sited at bolt connections, cavities, and knots. This paper introduces a simple method to detect bolts in wood using a UHF Scalar Network Analyzer (SNA). The electronics placed inside an aluminum box with a slot ape...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9741001/ https://www.ncbi.nlm.nih.gov/pubmed/36502197 http://dx.doi.org/10.3390/s22239495 |
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author | Radwan, Mohamed Becker, Noah Thiel, David V. Espinosa, Hugo G. |
author_facet | Radwan, Mohamed Becker, Noah Thiel, David V. Espinosa, Hugo G. |
author_sort | Radwan, Mohamed |
collection | PubMed |
description | Timber is widely used in new structures. The leading causes of structural failure are sited at bolt connections, cavities, and knots. This paper introduces a simple method to detect bolts in wood using a UHF Scalar Network Analyzer (SNA). The electronics placed inside an aluminum box with a slot aperture transmit a microwave signal through the slot, and the near-field signal determines the reflection coefficient (S(11)). Major changes from baseline are an accurate method to detect cavities and bolts inside the wood. Experiments were conducted on pinewood beams with cross-section dimensions of (70 mm × 70 mm). The scalar network analyzer circuit can detect bolts and cavities within a 30 mm range from the wood surface. The technique can be used for timber beam preparation in an automated sawmill at speed. |
format | Online Article Text |
id | pubmed-9741001 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-97410012022-12-11 In-Line Wood Defect Detection Using Simple Scalar Network Analyzer Radwan, Mohamed Becker, Noah Thiel, David V. Espinosa, Hugo G. Sensors (Basel) Communication Timber is widely used in new structures. The leading causes of structural failure are sited at bolt connections, cavities, and knots. This paper introduces a simple method to detect bolts in wood using a UHF Scalar Network Analyzer (SNA). The electronics placed inside an aluminum box with a slot aperture transmit a microwave signal through the slot, and the near-field signal determines the reflection coefficient (S(11)). Major changes from baseline are an accurate method to detect cavities and bolts inside the wood. Experiments were conducted on pinewood beams with cross-section dimensions of (70 mm × 70 mm). The scalar network analyzer circuit can detect bolts and cavities within a 30 mm range from the wood surface. The technique can be used for timber beam preparation in an automated sawmill at speed. MDPI 2022-12-05 /pmc/articles/PMC9741001/ /pubmed/36502197 http://dx.doi.org/10.3390/s22239495 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 | Communication Radwan, Mohamed Becker, Noah Thiel, David V. Espinosa, Hugo G. In-Line Wood Defect Detection Using Simple Scalar Network Analyzer |
title | In-Line Wood Defect Detection Using Simple Scalar Network Analyzer |
title_full | In-Line Wood Defect Detection Using Simple Scalar Network Analyzer |
title_fullStr | In-Line Wood Defect Detection Using Simple Scalar Network Analyzer |
title_full_unstemmed | In-Line Wood Defect Detection Using Simple Scalar Network Analyzer |
title_short | In-Line Wood Defect Detection Using Simple Scalar Network Analyzer |
title_sort | in-line wood defect detection using simple scalar network analyzer |
topic | Communication |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9741001/ https://www.ncbi.nlm.nih.gov/pubmed/36502197 http://dx.doi.org/10.3390/s22239495 |
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