Characterization and Prediction of Physical Properties of Luanta Fir Wood with Vacuum Hydrothermal Treatment
This study used the luanta fir (<i>Cunninghamia konishii</i> Hayata) wood, one of the most used wood construction and building materials in Taiwan, as specimens to examine the impact of different conditions of vacuum hydrothermal (VH) treatment on the physical properties of this wood. A...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2022-10-01
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| Series: | Polymers |
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| Online Access: | https://www.mdpi.com/2073-4360/14/20/4374 |
| _version_ | 1797470155755749376 |
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| author | Ming-Chi Hsieh Ke-Chang Hung Jin-Wei Xu Wen-Shao Chang Jyh-Horng Wu |
| author_facet | Ming-Chi Hsieh Ke-Chang Hung Jin-Wei Xu Wen-Shao Chang Jyh-Horng Wu |
| author_sort | Ming-Chi Hsieh |
| collection | DOAJ |
| description | This study used the luanta fir (<i>Cunninghamia konishii</i> Hayata) wood, one of the most used wood construction and building materials in Taiwan, as specimens to examine the impact of different conditions of vacuum hydrothermal (VH) treatment on the physical properties of this wood. A prediction model for these properties was created using a nondestructive spectroscopy technique. The test results revealed that the mass loss, moisture exclusion efficiency, anti-swelling efficiency, color difference, and surface contact angle of the VH-treated wood all increased under increasing heat treatment temperature and time. Moreover, the use of near-infrared (NIR) spectroscopy in creating the prediction model for the physical properties of the VH-treated luanta fir wood revealed that the ratios of performance to deviation (RPD) for mass loss, equilibrium moisture content, and color difference were all above 2.5, indicating a high prediction accuracy. These results suggested that an NIR spectrometer can serve as a useful instrument for the accurate prediction of the physical properties or for controlling the quality of VH-treated wood. |
| first_indexed | 2024-03-09T19:32:44Z |
| format | Article |
| id | doaj.art-79d3eb0c1037491baf79e69ab7f53a51 |
| institution | Directory Open Access Journal |
| issn | 2073-4360 |
| language | English |
| last_indexed | 2024-03-09T19:32:44Z |
| publishDate | 2022-10-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Polymers |
| spelling | doaj.art-79d3eb0c1037491baf79e69ab7f53a512023-11-24T02:08:09ZengMDPI AGPolymers2073-43602022-10-011420437410.3390/polym14204374Characterization and Prediction of Physical Properties of Luanta Fir Wood with Vacuum Hydrothermal TreatmentMing-Chi Hsieh0Ke-Chang Hung1Jin-Wei Xu2Wen-Shao Chang3Jyh-Horng Wu4Department of Forestry, National Chung Hsing University, Taichung 40227, TaiwanDepartment of Wood Based Materials and Design, National Chiayi University, Chiayi 600355, TaiwanDepartment of Forestry, National Chung Hsing University, Taichung 40227, TaiwanSchool of Architecture, University of Sheffield, Sheffield S10 2TN, UKDepartment of Forestry, National Chung Hsing University, Taichung 40227, TaiwanThis study used the luanta fir (<i>Cunninghamia konishii</i> Hayata) wood, one of the most used wood construction and building materials in Taiwan, as specimens to examine the impact of different conditions of vacuum hydrothermal (VH) treatment on the physical properties of this wood. A prediction model for these properties was created using a nondestructive spectroscopy technique. The test results revealed that the mass loss, moisture exclusion efficiency, anti-swelling efficiency, color difference, and surface contact angle of the VH-treated wood all increased under increasing heat treatment temperature and time. Moreover, the use of near-infrared (NIR) spectroscopy in creating the prediction model for the physical properties of the VH-treated luanta fir wood revealed that the ratios of performance to deviation (RPD) for mass loss, equilibrium moisture content, and color difference were all above 2.5, indicating a high prediction accuracy. These results suggested that an NIR spectrometer can serve as a useful instrument for the accurate prediction of the physical properties or for controlling the quality of VH-treated wood.https://www.mdpi.com/2073-4360/14/20/4374<i>Cunninghamia konishii</i>near infrared spectroscopynondestructive spectroscopy techniqueprediction modelphysical propertyheat treatment |
| spellingShingle | Ming-Chi Hsieh Ke-Chang Hung Jin-Wei Xu Wen-Shao Chang Jyh-Horng Wu Characterization and Prediction of Physical Properties of Luanta Fir Wood with Vacuum Hydrothermal Treatment Polymers <i>Cunninghamia konishii</i> near infrared spectroscopy nondestructive spectroscopy technique prediction model physical property heat treatment |
| title | Characterization and Prediction of Physical Properties of Luanta Fir Wood with Vacuum Hydrothermal Treatment |
| title_full | Characterization and Prediction of Physical Properties of Luanta Fir Wood with Vacuum Hydrothermal Treatment |
| title_fullStr | Characterization and Prediction of Physical Properties of Luanta Fir Wood with Vacuum Hydrothermal Treatment |
| title_full_unstemmed | Characterization and Prediction of Physical Properties of Luanta Fir Wood with Vacuum Hydrothermal Treatment |
| title_short | Characterization and Prediction of Physical Properties of Luanta Fir Wood with Vacuum Hydrothermal Treatment |
| title_sort | characterization and prediction of physical properties of luanta fir wood with vacuum hydrothermal treatment |
| topic | <i>Cunninghamia konishii</i> near infrared spectroscopy nondestructive spectroscopy technique prediction model physical property heat treatment |
| url | https://www.mdpi.com/2073-4360/14/20/4374 |
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