In-Line Wood Defect Detection Using Simple Scalar Network Analyzer
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Becker, Noah
Thiel, David V
Espinosa, Hugo G
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Abstract
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 (S11). 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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Sensors
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22
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23
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© 2022 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 (https://creativecommons.org/licenses/by/4.0/).
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Electronic sensors
Ecology
Electrical engineering
Electronics, sensors and digital hardware
Environmental management
Distributed computing and systems software
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Radwan, M; Becker, N; Thiel, DV; Espinosa, HG, In-Line Wood Defect Detection Using Simple Scalar Network Analyzer, Sensors, 22 (23), pp. 9495