Loading…
An Infra-Red Heating Based Fast Method of Moisture Content Measurement and Its Application to Measure Blend Proportion of Polyester-Viscose Woven Fabrics
Moisture content values of plain woven fabrics of polyester-viscose blended yarns were measured using standard conditioning procedures as well as a new method of preconditioning of samples using infrared heating and subsequent conditioning in a desiccator for a specific conditioning time. The effect...
Saved in:
Published in: | Journal of engineered fibers and fabrics 2010-06, Vol.5 (2), p.22-26 |
---|---|
Main Authors: | , |
Format: | Article |
Language: | English |
Citations: | Items that this one cites |
Online Access: | Request full text |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
cited_by | |
---|---|
cites | cdi_FETCH-LOGICAL-c348t-48be0b9718c31e13f5b50276daf8585aeb9d8b48bca264d91796b142f1fe9a633 |
container_end_page | 26 |
container_issue | 2 |
container_start_page | 22 |
container_title | Journal of engineered fibers and fabrics |
container_volume | 5 |
creator | Kothari, V.K. Bal, Kausik |
description | Moisture content values of plain woven fabrics of polyester-viscose blended yarns were measured using standard conditioning procedures as well as a new method of preconditioning of samples using infrared heating and subsequent conditioning in a desiccator for a specific conditioning time. The effects of drying time and conditioning time on measured moisture content values were studied and optimization of these parameters were done. Results of the moisture content measurement using these methods show a sufficiently linear relationship between measured moisture content and the proportion of viscose in the fabric samples. The regression analysis showed very high coefficients of determination (above 0.98) in all cases. Regression equations were used to predict the blend proportion of fabric samples from the moisture content data. It was found that even the moisture content values using a shorter conditioning time of 60 minutes and even 10 minutes yielded correct prediction with a maximum error of magnitude less than 3.0 in blend percentage values. |
doi_str_mv | 10.1177/155892501000500203 |
format | article |
fullrecord | <record><control><sourceid>sage_AFRWT</sourceid><recordid>TN_cdi_doaj_primary_oai_doaj_org_article_09fa48560b9a48c7baad326d48da4044</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sage_id>10.1177_155892501000500203</sage_id><doaj_id>oai_doaj_org_article_09fa48560b9a48c7baad326d48da4044</doaj_id><sourcerecordid>10.1177_155892501000500203</sourcerecordid><originalsourceid>FETCH-LOGICAL-c348t-48be0b9718c31e13f5b50276daf8585aeb9d8b48bca264d91796b142f1fe9a633</originalsourceid><addsrcrecordid>eNp9kdtKxDAQhosoqKsv4FVeoJq0SZterouHBUURD5dlmkzWLjVZkij4KL6t6a6KIHg1M__8803CZNkRo8eM1fUJE0I2haCMUiooLWi5le2NYj6q27_y3Ww_hGVyNaWge9nH1JK5NR7yO9TkEiH2dkFOIaTqHEIk1xifnSbOkGvXh_jqkcycjWjHFoRUv4w5WE3mMZDpajX0KlGcJdF9W8jpgMlw693K-XUv8W7d8I4hos8f-6BcQPLk3tCmtZ3vVTjIdgwMAQ-_4iR7OD-7n13mVzcX89n0KlcllzHnskPaNTWTqmTISiM6QYu60mCkkAKwa7TskktBUXHdsLqpOsYLwww2UJXlJJtvuNrBsl35_gX8e-ugb9eC84sW0pvVgC1tDHApqrQvRVV3ALosKs2lBk45T6xiw1LeheDR_PAYbcdDtX8PlYZONkMBFtgu3au36b__TXwCUbSUbA</addsrcrecordid><sourcetype>Open Website</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype></control><display><type>article</type><title>An Infra-Red Heating Based Fast Method of Moisture Content Measurement and Its Application to Measure Blend Proportion of Polyester-Viscose Woven Fabrics</title><source>SAGE Open Access</source><creator>Kothari, V.K. ; Bal, Kausik</creator><creatorcontrib>Kothari, V.K. ; Bal, Kausik</creatorcontrib><description>Moisture content values of plain woven fabrics of polyester-viscose blended yarns were measured using standard conditioning procedures as well as a new method of preconditioning of samples using infrared heating and subsequent conditioning in a desiccator for a specific conditioning time. The effects of drying time and conditioning time on measured moisture content values were studied and optimization of these parameters were done. Results of the moisture content measurement using these methods show a sufficiently linear relationship between measured moisture content and the proportion of viscose in the fabric samples. The regression analysis showed very high coefficients of determination (above 0.98) in all cases. Regression equations were used to predict the blend proportion of fabric samples from the moisture content data. It was found that even the moisture content values using a shorter conditioning time of 60 minutes and even 10 minutes yielded correct prediction with a maximum error of magnitude less than 3.0 in blend percentage values.</description><identifier>ISSN: 1558-9250</identifier><identifier>EISSN: 1558-9250</identifier><identifier>DOI: 10.1177/155892501000500203</identifier><language>eng</language><publisher>London, England: SAGE Publications</publisher><ispartof>Journal of engineered fibers and fabrics, 2010-06, Vol.5 (2), p.22-26</ispartof><rights>2010 SAGE Publications</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c348t-48be0b9718c31e13f5b50276daf8585aeb9d8b48bca264d91796b142f1fe9a633</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://journals.sagepub.com/doi/pdf/10.1177/155892501000500203$$EPDF$$P50$$Gsage$$H</linktopdf><linktohtml>$$Uhttps://journals.sagepub.com/doi/10.1177/155892501000500203$$EHTML$$P50$$Gsage$$H</linktohtml><link.rule.ids>314,780,784,21966,27853,27924,27925,44945,45333</link.rule.ids><linktorsrc>$$Uhttps://journals.sagepub.com/doi/full/10.1177/155892501000500203?utm_source=summon&utm_medium=discovery-provider$$EView_record_in_SAGE_Publications$$FView_record_in_$$GSAGE_Publications</linktorsrc></links><search><creatorcontrib>Kothari, V.K.</creatorcontrib><creatorcontrib>Bal, Kausik</creatorcontrib><title>An Infra-Red Heating Based Fast Method of Moisture Content Measurement and Its Application to Measure Blend Proportion of Polyester-Viscose Woven Fabrics</title><title>Journal of engineered fibers and fabrics</title><description>Moisture content values of plain woven fabrics of polyester-viscose blended yarns were measured using standard conditioning procedures as well as a new method of preconditioning of samples using infrared heating and subsequent conditioning in a desiccator for a specific conditioning time. The effects of drying time and conditioning time on measured moisture content values were studied and optimization of these parameters were done. Results of the moisture content measurement using these methods show a sufficiently linear relationship between measured moisture content and the proportion of viscose in the fabric samples. The regression analysis showed very high coefficients of determination (above 0.98) in all cases. Regression equations were used to predict the blend proportion of fabric samples from the moisture content data. It was found that even the moisture content values using a shorter conditioning time of 60 minutes and even 10 minutes yielded correct prediction with a maximum error of magnitude less than 3.0 in blend percentage values.</description><issn>1558-9250</issn><issn>1558-9250</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2010</creationdate><recordtype>article</recordtype><sourceid>DOA</sourceid><recordid>eNp9kdtKxDAQhosoqKsv4FVeoJq0SZterouHBUURD5dlmkzWLjVZkij4KL6t6a6KIHg1M__8803CZNkRo8eM1fUJE0I2haCMUiooLWi5le2NYj6q27_y3Ww_hGVyNaWge9nH1JK5NR7yO9TkEiH2dkFOIaTqHEIk1xifnSbOkGvXh_jqkcycjWjHFoRUv4w5WE3mMZDpajX0KlGcJdF9W8jpgMlw693K-XUv8W7d8I4hos8f-6BcQPLk3tCmtZ3vVTjIdgwMAQ-_4iR7OD-7n13mVzcX89n0KlcllzHnskPaNTWTqmTISiM6QYu60mCkkAKwa7TskktBUXHdsLqpOsYLwww2UJXlJJtvuNrBsl35_gX8e-ugb9eC84sW0pvVgC1tDHApqrQvRVV3ALosKs2lBk45T6xiw1LeheDR_PAYbcdDtX8PlYZONkMBFtgu3au36b__TXwCUbSUbA</recordid><startdate>201006</startdate><enddate>201006</enddate><creator>Kothari, V.K.</creator><creator>Bal, Kausik</creator><general>SAGE Publications</general><general>SAGE Publishing</general><scope>AAYXX</scope><scope>CITATION</scope><scope>DOA</scope></search><sort><creationdate>201006</creationdate><title>An Infra-Red Heating Based Fast Method of Moisture Content Measurement and Its Application to Measure Blend Proportion of Polyester-Viscose Woven Fabrics</title><author>Kothari, V.K. ; Bal, Kausik</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c348t-48be0b9718c31e13f5b50276daf8585aeb9d8b48bca264d91796b142f1fe9a633</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2010</creationdate><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Kothari, V.K.</creatorcontrib><creatorcontrib>Bal, Kausik</creatorcontrib><collection>CrossRef</collection><collection>Directory of Open Access Journals</collection><jtitle>Journal of engineered fibers and fabrics</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Kothari, V.K.</au><au>Bal, Kausik</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>An Infra-Red Heating Based Fast Method of Moisture Content Measurement and Its Application to Measure Blend Proportion of Polyester-Viscose Woven Fabrics</atitle><jtitle>Journal of engineered fibers and fabrics</jtitle><date>2010-06</date><risdate>2010</risdate><volume>5</volume><issue>2</issue><spage>22</spage><epage>26</epage><pages>22-26</pages><issn>1558-9250</issn><eissn>1558-9250</eissn><abstract>Moisture content values of plain woven fabrics of polyester-viscose blended yarns were measured using standard conditioning procedures as well as a new method of preconditioning of samples using infrared heating and subsequent conditioning in a desiccator for a specific conditioning time. The effects of drying time and conditioning time on measured moisture content values were studied and optimization of these parameters were done. Results of the moisture content measurement using these methods show a sufficiently linear relationship between measured moisture content and the proportion of viscose in the fabric samples. The regression analysis showed very high coefficients of determination (above 0.98) in all cases. Regression equations were used to predict the blend proportion of fabric samples from the moisture content data. It was found that even the moisture content values using a shorter conditioning time of 60 minutes and even 10 minutes yielded correct prediction with a maximum error of magnitude less than 3.0 in blend percentage values.</abstract><cop>London, England</cop><pub>SAGE Publications</pub><doi>10.1177/155892501000500203</doi><tpages>5</tpages><oa>free_for_read</oa></addata></record> |
fulltext | fulltext_linktorsrc |
identifier | ISSN: 1558-9250 |
ispartof | Journal of engineered fibers and fabrics, 2010-06, Vol.5 (2), p.22-26 |
issn | 1558-9250 1558-9250 |
language | eng |
recordid | cdi_doaj_primary_oai_doaj_org_article_09fa48560b9a48c7baad326d48da4044 |
source | SAGE Open Access |
title | An Infra-Red Heating Based Fast Method of Moisture Content Measurement and Its Application to Measure Blend Proportion of Polyester-Viscose Woven Fabrics |
url | http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-27T18%3A57%3A02IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-sage_AFRWT&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=An%20Infra-Red%20Heating%20Based%20Fast%20Method%20of%20Moisture%20Content%20Measurement%20and%20Its%20Application%20to%20Measure%20Blend%20Proportion%20of%20Polyester-Viscose%20Woven%20Fabrics&rft.jtitle=Journal%20of%20engineered%20fibers%20and%20fabrics&rft.au=Kothari,%20V.K.&rft.date=2010-06&rft.volume=5&rft.issue=2&rft.spage=22&rft.epage=26&rft.pages=22-26&rft.issn=1558-9250&rft.eissn=1558-9250&rft_id=info:doi/10.1177/155892501000500203&rft_dat=%3Csage_AFRWT%3E10.1177_155892501000500203%3C/sage_AFRWT%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-c348t-48be0b9718c31e13f5b50276daf8585aeb9d8b48bca264d91796b142f1fe9a633%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_id=info:pmid/&rft_sage_id=10.1177_155892501000500203&rfr_iscdi=true |