Estimating wood physical properties by using microwave measurements

Wood is a natural material with a wide range of physical properties. For effective use of the material resource, it is important to be able to make reliable non-destructive measurements of material properties. Of particular interest here are grain angle, moisture content and density of wood. Thes...

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Main Author: Orhan, Fatos Bahar
Language:English
Published: 2009
Online Access:http://hdl.handle.net/2429/15605
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spelling ndltd-LACETR-oai-collectionscanada.gc.ca-BVAU.2429-156052014-03-14T15:48:18Z Estimating wood physical properties by using microwave measurements Orhan, Fatos Bahar Wood is a natural material with a wide range of physical properties. For effective use of the material resource, it is important to be able to make reliable non-destructive measurements of material properties. Of particular interest here are grain angle, moisture content and density of wood. These are important for process control and for wood strength estimation. Microwaves provide an effective method for measuring wood properties. The measurements are non-contact, high speed and safe. Their data content is also very rich, with a total of eight independent measurements at each point. Thus, there is good opportunity for reliable material property evaluation and for data consistency checking. The microwave system described here measures the attenuation and phase change of a microwave beam as it propagates through wood specimens. It makes these measurements for both parallel and perpendicular polarizations. In this study, microwave measurements are made on 76 hemlock and 150 Douglas fir pieces. The collected data are used to estimate the wood grain angle, moisture content and density. For estimations, linear models whose coefficients are calculated by applying least-squares method are constructed. Also, since temperature has a significant influence on electrical properties, the temperature is taken into account as a variable in the formulations. A significant species dependence was observed in the results, with different moisture and wood density sensitivities for hemlock and Douglas fir. In general, the results from hemlock were superior to those from Douglas fir. For hemlock and Douglas fir respectively, 3 3 the standard error of estimation (SEE) of wet density was 4kg/m3 and l0kg/m3 (moisture density range = 40-120 kg/m3 ). For dry wood density, the SEE was 40 and 65 kg/m3 (dry wood density range = 300-650 kg/m3). For moisture content, the SEE was 1.0% and 2.0% (moisture content range = 6-30%). For grain angles, the SEE was 0.9 and 2.5 degrees (grain angle range = 0-180°). All these results indicate that the microwave method has substantial practical potential as a method for estimating wood moisture density, moisture content and grain angle. 2009-11-24T20:49:35Z 2009-11-24T20:49:35Z 2004 2009-11-24T20:49:35Z 2004-11 Electronic Thesis or Dissertation http://hdl.handle.net/2429/15605 eng UBC Retrospective Theses Digitization Project [http://www.library.ubc.ca/archives/retro_theses/]
collection NDLTD
language English
sources NDLTD
description Wood is a natural material with a wide range of physical properties. For effective use of the material resource, it is important to be able to make reliable non-destructive measurements of material properties. Of particular interest here are grain angle, moisture content and density of wood. These are important for process control and for wood strength estimation. Microwaves provide an effective method for measuring wood properties. The measurements are non-contact, high speed and safe. Their data content is also very rich, with a total of eight independent measurements at each point. Thus, there is good opportunity for reliable material property evaluation and for data consistency checking. The microwave system described here measures the attenuation and phase change of a microwave beam as it propagates through wood specimens. It makes these measurements for both parallel and perpendicular polarizations. In this study, microwave measurements are made on 76 hemlock and 150 Douglas fir pieces. The collected data are used to estimate the wood grain angle, moisture content and density. For estimations, linear models whose coefficients are calculated by applying least-squares method are constructed. Also, since temperature has a significant influence on electrical properties, the temperature is taken into account as a variable in the formulations. A significant species dependence was observed in the results, with different moisture and wood density sensitivities for hemlock and Douglas fir. In general, the results from hemlock were superior to those from Douglas fir. For hemlock and Douglas fir respectively, 3 3 the standard error of estimation (SEE) of wet density was 4kg/m3 and l0kg/m3 (moisture density range = 40-120 kg/m3 ). For dry wood density, the SEE was 40 and 65 kg/m3 (dry wood density range = 300-650 kg/m3). For moisture content, the SEE was 1.0% and 2.0% (moisture content range = 6-30%). For grain angles, the SEE was 0.9 and 2.5 degrees (grain angle range = 0-180°). All these results indicate that the microwave method has substantial practical potential as a method for estimating wood moisture density, moisture content and grain angle.
author Orhan, Fatos Bahar
spellingShingle Orhan, Fatos Bahar
Estimating wood physical properties by using microwave measurements
author_facet Orhan, Fatos Bahar
author_sort Orhan, Fatos Bahar
title Estimating wood physical properties by using microwave measurements
title_short Estimating wood physical properties by using microwave measurements
title_full Estimating wood physical properties by using microwave measurements
title_fullStr Estimating wood physical properties by using microwave measurements
title_full_unstemmed Estimating wood physical properties by using microwave measurements
title_sort estimating wood physical properties by using microwave measurements
publishDate 2009
url http://hdl.handle.net/2429/15605
work_keys_str_mv AT orhanfatosbahar estimatingwoodphysicalpropertiesbyusingmicrowavemeasurements
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