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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...

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Detalles Bibliográficos
Autores principales: Radwan, Mohamed, Becker, Noah, Thiel, David V., Espinosa, Hugo G.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
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.
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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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