Quantifying and reducing errors in equilibrium moisture content measurements with dynamic vapor sorption (DVS) experiments
Dynamic vapor sorption (DVS) measurements are widely used to collect water vapor sorption isotherms for wood and other cellulosic materials. Equilibrium moisture content (EMC) is typically assumed to have been reached when the rate of change in moisture content with time ( d M / d t ) drops below a...
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description | Dynamic vapor sorption (DVS) measurements are widely used to collect water vapor sorption isotherms for wood and other cellulosic materials. Equilibrium moisture content (EMC) is typically assumed to have been reached when the rate of change in moisture content with time (
d
M
/
d
t
) drops below a certain value. However, the errors associated with determining EMC in this manner have never been characterized. Here, an operational definition of equilibrium for DVS measurements is provided, and twenty test cases over four cellulosic materials are presented where the relative humidity was stepped up or down and then held constant until equilibrium was reached. Then, both the time to reach various
d
M
/
d
t
“stop criteria” and the errors in EMC associated with those stop criteria are quantified. The errors in the EMC from the widely used 0.002% min
−1
stop criterion are found to be as large as 1.2% MC, and the average error for 20 test cases is 0.5% MC, which are much larger than the 0.1% MC error claimed in the literature. Longer data collection times are recommended, and a more stringent
d
M
/
d
t
criterion (0.0003% min
−1
, using a 2-h window) for cellulosic materials is proposed. The errors with this criterion are less than 0.75% MC, and the average error is 0.3% MC. Furthermore, it is shown that the errors for a given stop criterion are systematic and can be fairly well characterized with a simple linear regression. Finally, a correction for systematic error is proposed that results in more accurate EMC values with shorter hold times. |
doi_str_mv | 10.1007/s00226-018-1007-0 |
format | Article |
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d
M
/
d
t
) drops below a certain value. However, the errors associated with determining EMC in this manner have never been characterized. Here, an operational definition of equilibrium for DVS measurements is provided, and twenty test cases over four cellulosic materials are presented where the relative humidity was stepped up or down and then held constant until equilibrium was reached. Then, both the time to reach various
d
M
/
d
t
“stop criteria” and the errors in EMC associated with those stop criteria are quantified. The errors in the EMC from the widely used 0.002% min
−1
stop criterion are found to be as large as 1.2% MC, and the average error for 20 test cases is 0.5% MC, which are much larger than the 0.1% MC error claimed in the literature. Longer data collection times are recommended, and a more stringent
d
M
/
d
t
criterion (0.0003% min
−1
, using a 2-h window) for cellulosic materials is proposed. The errors with this criterion are less than 0.75% MC, and the average error is 0.3% MC. Furthermore, it is shown that the errors for a given stop criterion are systematic and can be fairly well characterized with a simple linear regression. Finally, a correction for systematic error is proposed that results in more accurate EMC values with shorter hold times.</description><identifier>ISSN: 0043-7719</identifier><identifier>EISSN: 1432-5225</identifier><identifier>DOI: 10.1007/s00226-018-1007-0</identifier><language>eng</language><publisher>Berlin/Heidelberg: Springer Berlin Heidelberg</publisher><subject>Biomedical and Life Sciences ; Ceramics ; Composites ; Criteria ; Data collection ; Equilibrium ; Error correction ; Glass ; Life Sciences ; Machines ; Manufacturing ; Moisture content ; Natural Materials ; Original ; Processes ; Relative humidity ; Sorption ; Systematic errors ; Water content ; Water vapor ; Wood Science & Technology</subject><ispartof>Wood science and technology, 2018-07, Vol.52 (4), p.909-927</ispartof><rights>This is a U.S. Government work and not under copyright protection in the US; foreign copyright protection may apply 2018</rights><rights>Wood Science and Technology is a copyright of Springer, (2018). All Rights Reserved.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c316t-4c12c57c1c4e896640689282da4a44e00263b4da7ea18a7f2945f3dfc94031223</citedby><cites>FETCH-LOGICAL-c316t-4c12c57c1c4e896640689282da4a44e00263b4da7ea18a7f2945f3dfc94031223</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s00226-018-1007-0$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s00226-018-1007-0$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,776,780,27901,27902,41464,42533,51294</link.rule.ids></links><search><creatorcontrib>Glass, Samuel V.</creatorcontrib><creatorcontrib>Boardman, Charles R.</creatorcontrib><creatorcontrib>Thybring, Emil Engelund</creatorcontrib><creatorcontrib>Zelinka, Samuel L.</creatorcontrib><title>Quantifying and reducing errors in equilibrium moisture content measurements with dynamic vapor sorption (DVS) experiments</title><title>Wood science and technology</title><addtitle>Wood Sci Technol</addtitle><description>Dynamic vapor sorption (DVS) measurements are widely used to collect water vapor sorption isotherms for wood and other cellulosic materials. Equilibrium moisture content (EMC) is typically assumed to have been reached when the rate of change in moisture content with time (
d
M
/
d
t
) drops below a certain value. However, the errors associated with determining EMC in this manner have never been characterized. Here, an operational definition of equilibrium for DVS measurements is provided, and twenty test cases over four cellulosic materials are presented where the relative humidity was stepped up or down and then held constant until equilibrium was reached. Then, both the time to reach various
d
M
/
d
t
“stop criteria” and the errors in EMC associated with those stop criteria are quantified. The errors in the EMC from the widely used 0.002% min
−1
stop criterion are found to be as large as 1.2% MC, and the average error for 20 test cases is 0.5% MC, which are much larger than the 0.1% MC error claimed in the literature. Longer data collection times are recommended, and a more stringent
d
M
/
d
t
criterion (0.0003% min
−1
, using a 2-h window) for cellulosic materials is proposed. The errors with this criterion are less than 0.75% MC, and the average error is 0.3% MC. Furthermore, it is shown that the errors for a given stop criterion are systematic and can be fairly well characterized with a simple linear regression. Finally, a correction for systematic error is proposed that results in more accurate EMC values with shorter hold times.</description><subject>Biomedical and Life Sciences</subject><subject>Ceramics</subject><subject>Composites</subject><subject>Criteria</subject><subject>Data collection</subject><subject>Equilibrium</subject><subject>Error correction</subject><subject>Glass</subject><subject>Life Sciences</subject><subject>Machines</subject><subject>Manufacturing</subject><subject>Moisture content</subject><subject>Natural Materials</subject><subject>Original</subject><subject>Processes</subject><subject>Relative humidity</subject><subject>Sorption</subject><subject>Systematic errors</subject><subject>Water content</subject><subject>Water vapor</subject><subject>Wood Science & Technology</subject><issn>0043-7719</issn><issn>1432-5225</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2018</creationdate><recordtype>article</recordtype><sourceid>BENPR</sourceid><recordid>eNp1kEtLxDAUhYMoOI7-AHcBN7qIJmnatEsZnzAg4mNbMmk6ZpgmnTzU8debWsGVq3sPfOc-DgDHBJ8TjPmFx5jSAmFSokEjvAMmhGUU5ZTmu2CCMcsQ56TaBwferzAmnLNyAr4eozBBt1ttllCYBjrVRDkI5Zx1HmoD1SbqtV44HTvYWe1DdApKa4IyAXZK-KS71Hv4ocMbbLZGdFrCd9FbB711fdDWwNOr16czqD575fQPfQj2WrH26ui3TsHLzfXz7A7NH27vZ5dzJDNSBMQkoTLnkkimyqooGC7Kipa0EUwwptLfRbZgjeBKkFLwllYsb7OmlRXDGaE0m4KTcW7v7CYqH-qVjc6klXWKjA5x8TxRZKSks9471dZ9ulO4bU1wPTD1GHGdIh41Th46enxizVK5v8n_m74BGcuALw</recordid><startdate>20180701</startdate><enddate>20180701</enddate><creator>Glass, Samuel V.</creator><creator>Boardman, Charles R.</creator><creator>Thybring, Emil Engelund</creator><creator>Zelinka, Samuel L.</creator><general>Springer Berlin Heidelberg</general><general>Springer Nature B.V</general><scope>AAYXX</scope><scope>CITATION</scope><scope>8FE</scope><scope>8FG</scope><scope>ABJCF</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>PATMY</scope><scope>PDBOC</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PYCSY</scope></search><sort><creationdate>20180701</creationdate><title>Quantifying and reducing errors in equilibrium moisture content measurements with dynamic vapor sorption (DVS) experiments</title><author>Glass, Samuel V. ; Boardman, Charles R. ; Thybring, Emil Engelund ; Zelinka, Samuel L.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c316t-4c12c57c1c4e896640689282da4a44e00263b4da7ea18a7f2945f3dfc94031223</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2018</creationdate><topic>Biomedical and Life Sciences</topic><topic>Ceramics</topic><topic>Composites</topic><topic>Criteria</topic><topic>Data collection</topic><topic>Equilibrium</topic><topic>Error correction</topic><topic>Glass</topic><topic>Life Sciences</topic><topic>Machines</topic><topic>Manufacturing</topic><topic>Moisture content</topic><topic>Natural Materials</topic><topic>Original</topic><topic>Processes</topic><topic>Relative humidity</topic><topic>Sorption</topic><topic>Systematic errors</topic><topic>Water content</topic><topic>Water vapor</topic><topic>Wood Science & Technology</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Glass, Samuel V.</creatorcontrib><creatorcontrib>Boardman, Charles R.</creatorcontrib><creatorcontrib>Thybring, Emil Engelund</creatorcontrib><creatorcontrib>Zelinka, Samuel L.</creatorcontrib><collection>CrossRef</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>Materials Science & Engineering Collection</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</collection><collection>Natural Science Collection</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>Environmental Science Database</collection><collection>Materials Science Collection</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>Environmental Science Collection</collection><jtitle>Wood science and technology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Glass, Samuel V.</au><au>Boardman, Charles R.</au><au>Thybring, Emil Engelund</au><au>Zelinka, Samuel L.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Quantifying and reducing errors in equilibrium moisture content measurements with dynamic vapor sorption (DVS) experiments</atitle><jtitle>Wood science and technology</jtitle><stitle>Wood Sci Technol</stitle><date>2018-07-01</date><risdate>2018</risdate><volume>52</volume><issue>4</issue><spage>909</spage><epage>927</epage><pages>909-927</pages><issn>0043-7719</issn><eissn>1432-5225</eissn><abstract>Dynamic vapor sorption (DVS) measurements are widely used to collect water vapor sorption isotherms for wood and other cellulosic materials. Equilibrium moisture content (EMC) is typically assumed to have been reached when the rate of change in moisture content with time (
d
M
/
d
t
) drops below a certain value. However, the errors associated with determining EMC in this manner have never been characterized. Here, an operational definition of equilibrium for DVS measurements is provided, and twenty test cases over four cellulosic materials are presented where the relative humidity was stepped up or down and then held constant until equilibrium was reached. Then, both the time to reach various
d
M
/
d
t
“stop criteria” and the errors in EMC associated with those stop criteria are quantified. The errors in the EMC from the widely used 0.002% min
−1
stop criterion are found to be as large as 1.2% MC, and the average error for 20 test cases is 0.5% MC, which are much larger than the 0.1% MC error claimed in the literature. Longer data collection times are recommended, and a more stringent
d
M
/
d
t
criterion (0.0003% min
−1
, using a 2-h window) for cellulosic materials is proposed. The errors with this criterion are less than 0.75% MC, and the average error is 0.3% MC. Furthermore, it is shown that the errors for a given stop criterion are systematic and can be fairly well characterized with a simple linear regression. Finally, a correction for systematic error is proposed that results in more accurate EMC values with shorter hold times.</abstract><cop>Berlin/Heidelberg</cop><pub>Springer Berlin Heidelberg</pub><doi>10.1007/s00226-018-1007-0</doi><tpages>19</tpages><oa>free_for_read</oa></addata></record> |
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subjects | Biomedical and Life Sciences Ceramics Composites Criteria Data collection Equilibrium Error correction Glass Life Sciences Machines Manufacturing Moisture content Natural Materials Original Processes Relative humidity Sorption Systematic errors Water content Water vapor Wood Science & Technology |
title | Quantifying and reducing errors in equilibrium moisture content measurements with dynamic vapor sorption (DVS) experiments |
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