Physical and Mechanical Properties of Catalpa bungei Clones and Estimation of the Properties by Near-Infrared Spectroscopy
Air-dry density, modulus of rupture (MOR), modulus of elasticity (MOE), compressive strength parallel to grain, and hardness of Catalpa bungei clones were investigated in this study with feasibility of predicting these properties by near-infrared (NIR) spectroscopy. The best candidate ‘Luoqiu 3’ has...
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Veröffentlicht in: | Journal of renewable materials 2022, Vol.10 (12), p.3285-3302 |
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description | Air-dry density, modulus of rupture (MOR), modulus of elasticity (MOE), compressive strength parallel to grain, and hardness of Catalpa bungei clones were investigated in this study with feasibility of predicting these properties by near-infrared (NIR) spectroscopy. The best candidate ‘Luoqiu 3’ has been selected from three clones based on wood physical and mechanical property indices. Lower values of wood physical and mechanical properties have been found in the corewood compared to the outerwood. There were significant positive correlations between the air-dry density and mechanical properties. Information from cross section for air-dry density, compressive strength parallel to grain, and hardness yielded prediction models with better effects, along with the best MOR and MOE modeling effects resulted from average sections’ spectra collection. Multiplicative scatter correction (MSC) + Savitzky-Golay (S-G) smoothing method has been proved to be the most applicable way. In addition, the predictions from five-point sampling method were slightly better than three-point one. Overall, results suggest NIR spectroscopy was viable to predict the physical and mechanical properties of C. bungei clones with methods developed in this study proved effective in preliminary screening. |
doi_str_mv | 10.32604/jrm.2022.020546 |
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The best candidate ‘Luoqiu 3’ has been selected from three clones based on wood physical and mechanical property indices. Lower values of wood physical and mechanical properties have been found in the corewood compared to the outerwood. There were significant positive correlations between the air-dry density and mechanical properties. Information from cross section for air-dry density, compressive strength parallel to grain, and hardness yielded prediction models with better effects, along with the best MOR and MOE modeling effects resulted from average sections’ spectra collection. Multiplicative scatter correction (MSC) + Savitzky-Golay (S-G) smoothing method has been proved to be the most applicable way. In addition, the predictions from five-point sampling method were slightly better than three-point one. Overall, results suggest NIR spectroscopy was viable to predict the physical and mechanical properties of C. bungei clones with methods developed in this study proved effective in preliminary screening.</description><identifier>ISSN: 2164-6341</identifier><identifier>ISSN: 2164-6325</identifier><identifier>EISSN: 2164-6341</identifier><identifier>DOI: 10.32604/jrm.2022.020546</identifier><language>eng</language><publisher>Henderson: Tech Science Press</publisher><subject>Catalpa bungei ; Compressive strength ; Dry density ; Feasibility studies ; Hardness ; I.R. radiation ; Infrared spectra ; Infrared spectroscopy ; Mechanical properties ; Modulus of elasticity ; Modulus of rupture ; Near infrared radiation ; Physical properties ; Prediction models ; Spectrum analysis</subject><ispartof>Journal of renewable materials, 2022, Vol.10 (12), p.3285-3302</ispartof><rights>2022. This work is licensed under https://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c313t-a81279658173205da01310bb9ca690a5d0728f38573dccd9aa5b22f27d9428303</citedby><cites>FETCH-LOGICAL-c313t-a81279658173205da01310bb9ca690a5d0728f38573dccd9aa5b22f27d9428303</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,4023,27922,27923,27924</link.rule.ids></links><search><creatorcontrib>Wang, Rui</creatorcontrib><creatorcontrib>Shi, Lanlan</creatorcontrib><creatorcontrib>Wang, Yurong</creatorcontrib><title>Physical and Mechanical Properties of Catalpa bungei Clones and Estimation of the Properties by Near-Infrared Spectroscopy</title><title>Journal of renewable materials</title><description>Air-dry density, modulus of rupture (MOR), modulus of elasticity (MOE), compressive strength parallel to grain, and hardness of Catalpa bungei clones were investigated in this study with feasibility of predicting these properties by near-infrared (NIR) spectroscopy. The best candidate ‘Luoqiu 3’ has been selected from three clones based on wood physical and mechanical property indices. Lower values of wood physical and mechanical properties have been found in the corewood compared to the outerwood. There were significant positive correlations between the air-dry density and mechanical properties. Information from cross section for air-dry density, compressive strength parallel to grain, and hardness yielded prediction models with better effects, along with the best MOR and MOE modeling effects resulted from average sections’ spectra collection. Multiplicative scatter correction (MSC) + Savitzky-Golay (S-G) smoothing method has been proved to be the most applicable way. In addition, the predictions from five-point sampling method were slightly better than three-point one. Overall, results suggest NIR spectroscopy was viable to predict the physical and mechanical properties of C. bungei clones with methods developed in this study proved effective in preliminary screening.</description><subject>Catalpa bungei</subject><subject>Compressive strength</subject><subject>Dry density</subject><subject>Feasibility studies</subject><subject>Hardness</subject><subject>I.R. radiation</subject><subject>Infrared spectra</subject><subject>Infrared spectroscopy</subject><subject>Mechanical properties</subject><subject>Modulus of elasticity</subject><subject>Modulus of rupture</subject><subject>Near infrared radiation</subject><subject>Physical properties</subject><subject>Prediction models</subject><subject>Spectrum analysis</subject><issn>2164-6341</issn><issn>2164-6325</issn><issn>2164-6341</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><recordid>eNpNUE1PwzAMjRBITLA7x0icO5ykTdsjmgZMGjAJOEdumrJOXVOS7FB-PdnGYfbBtvyePx4hdwxmgktIH7ZuN-PA-Qw4ZKm8IBPOZJpIkbLLs_yaTL3fQrQCQIKYkN_1ZvStxo5iX9NXozfYH8u1s4NxoTWe2obOMWA3IK32_bdp6byzfWwcKAsf2h2G1vYHXNiYc2Y10jeDLln2jUNnavoxGB2c9doO4y25arDzZvofb8jX0-Jz_pKs3p-X88dVogUTIcGC8byUWcFyEZ-rEZhgUFWlRlkCZjXkvGhEkeWi1rouEbOK84bndZnyQoC4IfenuYOzP3vjg9ravevjSsVlGV0UwCMKTigdz_PONGpw8TE3KgbqKLKKIquDyOoksvgDBTVvyQ</recordid><startdate>2022</startdate><enddate>2022</enddate><creator>Wang, Rui</creator><creator>Shi, Lanlan</creator><creator>Wang, Yurong</creator><general>Tech Science Press</general><scope>AAYXX</scope><scope>CITATION</scope><scope>8FE</scope><scope>8FG</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>CCPQU</scope><scope>D1I</scope><scope>DWQXO</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>KB.</scope><scope>L6V</scope><scope>M7S</scope><scope>PATMY</scope><scope>PDBOC</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PTHSS</scope><scope>PYCSY</scope></search><sort><creationdate>2022</creationdate><title>Physical and Mechanical Properties of Catalpa bungei Clones and Estimation of the Properties by Near-Infrared Spectroscopy</title><author>Wang, Rui ; Shi, Lanlan ; Wang, Yurong</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c313t-a81279658173205da01310bb9ca690a5d0728f38573dccd9aa5b22f27d9428303</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><topic>Catalpa bungei</topic><topic>Compressive strength</topic><topic>Dry density</topic><topic>Feasibility studies</topic><topic>Hardness</topic><topic>I.R. radiation</topic><topic>Infrared spectra</topic><topic>Infrared spectroscopy</topic><topic>Mechanical properties</topic><topic>Modulus of elasticity</topic><topic>Modulus of rupture</topic><topic>Near infrared radiation</topic><topic>Physical properties</topic><topic>Prediction models</topic><topic>Spectrum analysis</topic><toplevel>online_resources</toplevel><creatorcontrib>Wang, Rui</creatorcontrib><creatorcontrib>Shi, Lanlan</creatorcontrib><creatorcontrib>Wang, Yurong</creatorcontrib><collection>CrossRef</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>Materials Science & Engineering Collection</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest One Sustainability</collection><collection>ProQuest Central UK/Ireland</collection><collection>Agricultural & Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>Technology Collection (ProQuest)</collection><collection>Natural Science Collection (ProQuest)</collection><collection>ProQuest One Community College</collection><collection>ProQuest Materials Science Collection</collection><collection>ProQuest Central Korea</collection><collection>ProQuest Central Student</collection><collection>SciTech Premium Collection</collection><collection>Materials Science Database</collection><collection>ProQuest Engineering Collection</collection><collection>Engineering Database</collection><collection>Environmental Science Database</collection><collection>Materials Science Collection</collection><collection>Publicly Available Content Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>Engineering Collection</collection><collection>Environmental Science Collection</collection><jtitle>Journal of renewable materials</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Wang, Rui</au><au>Shi, Lanlan</au><au>Wang, Yurong</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Physical and Mechanical Properties of Catalpa bungei Clones and Estimation of the Properties by Near-Infrared Spectroscopy</atitle><jtitle>Journal of renewable materials</jtitle><date>2022</date><risdate>2022</risdate><volume>10</volume><issue>12</issue><spage>3285</spage><epage>3302</epage><pages>3285-3302</pages><issn>2164-6341</issn><issn>2164-6325</issn><eissn>2164-6341</eissn><abstract>Air-dry density, modulus of rupture (MOR), modulus of elasticity (MOE), compressive strength parallel to grain, and hardness of Catalpa bungei clones were investigated in this study with feasibility of predicting these properties by near-infrared (NIR) spectroscopy. The best candidate ‘Luoqiu 3’ has been selected from three clones based on wood physical and mechanical property indices. Lower values of wood physical and mechanical properties have been found in the corewood compared to the outerwood. There were significant positive correlations between the air-dry density and mechanical properties. Information from cross section for air-dry density, compressive strength parallel to grain, and hardness yielded prediction models with better effects, along with the best MOR and MOE modeling effects resulted from average sections’ spectra collection. Multiplicative scatter correction (MSC) + Savitzky-Golay (S-G) smoothing method has been proved to be the most applicable way. In addition, the predictions from five-point sampling method were slightly better than three-point one. Overall, results suggest NIR spectroscopy was viable to predict the physical and mechanical properties of C. bungei clones with methods developed in this study proved effective in preliminary screening.</abstract><cop>Henderson</cop><pub>Tech Science Press</pub><doi>10.32604/jrm.2022.020546</doi><tpages>18</tpages><oa>free_for_read</oa></addata></record> |
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subjects | Catalpa bungei Compressive strength Dry density Feasibility studies Hardness I.R. radiation Infrared spectra Infrared spectroscopy Mechanical properties Modulus of elasticity Modulus of rupture Near infrared radiation Physical properties Prediction models Spectrum analysis |
title | Physical and Mechanical Properties of Catalpa bungei Clones and Estimation of the Properties by Near-Infrared Spectroscopy |
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