Loading…
Validation of fibre stress utilization model for modified ring spun yarns
To model the fibre stress utilization in modified ring spun yarns, we developed an analytical formula from the experimental data. The development of empirical formulae is carried out by using two different techniques, i.e., Cubic Spline and Artificial Neural Network methods. The experimental data of...
Saved in:
Published in: | Journal of the Textile Institute 2024-11, Vol.115 (11), p.2294-2306 |
---|---|
Main Authors: | , , , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites |
Online Access: | Get full text |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
cited_by | |
---|---|
cites | cdi_FETCH-LOGICAL-c366t-3fe9113946b1a884acb8eefbd9e6d2b0cf5eae8bd32b812f3775e64595ef70a63 |
container_end_page | 2306 |
container_issue | 11 |
container_start_page | 2294 |
container_title | Journal of the Textile Institute |
container_volume | 115 |
creator | Zubair, Muhammad Ahmad, Fayyaz Zubair, Zakariya Jabbar, Abdul Baig, Jiya |
description | To model the fibre stress utilization in modified ring spun yarns, we developed an analytical formula from the experimental data. The development of empirical formulae is carried out by using two different techniques, i.e., Cubic Spline and Artificial Neural Network methods. The experimental data of stress-strain curves of fibre and yarn has a large variation. To cope this variability, we used the smoothing spline technique to find the best-fit curve with respect to a reasonable smoothness. The best nonlinear smooth fitting can be used to extrapolate the experimental data beyond the breaking point. The modified ring spun yarns (compact, SIRO and SIRO-compact) with 20/1, 30/1 and 40/1 English count, produced from viscose staple fibre, were used to predict fibre stress utilization up to the yarn break by extrapolating the mean stress-strain curves of fibre and yarn by using the artificial neural network. Moreover, a new distribution function of fibre distribution in yarn has been proposed and successfully implemented for the prediction of fibre stress utilization in yarn. The new formulation helps to compute the fibre stress utilization in the yarn analytically. The validation of the proposed methodology is presented by comparing the numerical results with the experimental data. The predicted fibre stress utilization was in good agreement with the experimental fibre stress utilization for all types of modified ring spun yarns. It has been observed that SIRO-compact yarn exhibits improved fibre stress utilization as compared to SIRO and compact yarns. Moreover, the new distribution functions Gamma and Gaussian distribution were introduced in parallel with the Dirac delta function. In previous similar studies on ring, rotor and air-jet spun yarns, the proposed model can only predict the fibre stress utilization before the breakage point whereas the modified model, in this study, can predict the fibre stress utilization up to the breaking point. |
doi_str_mv | 10.1080/00405000.2023.2286031 |
format | article |
fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_journals_3119454147</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>3153806796</sourcerecordid><originalsourceid>FETCH-LOGICAL-c366t-3fe9113946b1a884acb8eefbd9e6d2b0cf5eae8bd32b812f3775e64595ef70a63</originalsourceid><addsrcrecordid>eNp9kEtLxDAQgIMouK7-BKHgxUvXybPtTVl8wYIX9RrSdiJZ2mZNWmT99bZ0vXjwNAPzzesj5JLCikIONwACJACsGDC-YixXwOkRWdBMipRxAcdkMTHpBJ2Ssxi3ADyHgi7I87tpXG1657vE28S6MmAS-4AxJkPvGvc911pfY5NYH6bMWYd1Elz3kcTd0CV7E7p4Tk6saSJeHOKSvD3cv66f0s3L4_P6bpNWXKk-5RYLSnkhVElNngtTlTmiLesCVc1KqKxEg3lZc1bmlFmeZRKVkIVEm4FRfEmu57m74D8HjL1uXaywaUyHfoiaUzn-prJiQq_-oFs_hG68bqRoIaSgIhspOVNV8DEGtHoXXGvCXlPQk2D9K1hPgvVB8Nh3O_e5bvTSmi8fmlr3Zt_4YIPpKjet-XfEDzcqgaQ</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>3119454147</pqid></control><display><type>article</type><title>Validation of fibre stress utilization model for modified ring spun yarns</title><source>Taylor and Francis:Jisc Collections:Taylor and Francis Read and Publish Agreement 2024-2025:Science and Technology Collection (Reading list)</source><creator>Zubair, Muhammad ; Ahmad, Fayyaz ; Zubair, Zakariya ; Jabbar, Abdul ; Baig, Jiya</creator><creatorcontrib>Zubair, Muhammad ; Ahmad, Fayyaz ; Zubair, Zakariya ; Jabbar, Abdul ; Baig, Jiya</creatorcontrib><description>To model the fibre stress utilization in modified ring spun yarns, we developed an analytical formula from the experimental data. The development of empirical formulae is carried out by using two different techniques, i.e., Cubic Spline and Artificial Neural Network methods. The experimental data of stress-strain curves of fibre and yarn has a large variation. To cope this variability, we used the smoothing spline technique to find the best-fit curve with respect to a reasonable smoothness. The best nonlinear smooth fitting can be used to extrapolate the experimental data beyond the breaking point. The modified ring spun yarns (compact, SIRO and SIRO-compact) with 20/1, 30/1 and 40/1 English count, produced from viscose staple fibre, were used to predict fibre stress utilization up to the yarn break by extrapolating the mean stress-strain curves of fibre and yarn by using the artificial neural network. Moreover, a new distribution function of fibre distribution in yarn has been proposed and successfully implemented for the prediction of fibre stress utilization in yarn. The new formulation helps to compute the fibre stress utilization in the yarn analytically. The validation of the proposed methodology is presented by comparing the numerical results with the experimental data. The predicted fibre stress utilization was in good agreement with the experimental fibre stress utilization for all types of modified ring spun yarns. It has been observed that SIRO-compact yarn exhibits improved fibre stress utilization as compared to SIRO and compact yarns. Moreover, the new distribution functions Gamma and Gaussian distribution were introduced in parallel with the Dirac delta function. In previous similar studies on ring, rotor and air-jet spun yarns, the proposed model can only predict the fibre stress utilization before the breakage point whereas the modified model, in this study, can predict the fibre stress utilization up to the breaking point.</description><identifier>ISSN: 0040-5000</identifier><identifier>ISSN: 1754-2340</identifier><identifier>EISSN: 1754-2340</identifier><identifier>DOI: 10.1080/00405000.2023.2286031</identifier><language>eng</language><publisher>Manchester: Taylor & Francis</publisher><subject>artificial neural network ; Artificial neural networks ; cubic spline ; Curve fitting ; Data analysis ; Data smoothing ; Delta function ; Distribution functions ; fabrics ; Fibre stress utilization ; Gaussian quadrature method ; modified ring spun yarns ; Neural networks ; Normal distribution ; prediction ; Predictions ; Siro ; Smoothness ; Stress-strain curves ; Stress-strain relationships ; Utilization ; viscose ; Yarns</subject><ispartof>Journal of the Textile Institute, 2024-11, Vol.115 (11), p.2294-2306</ispartof><rights>2023 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group 2023</rights><rights>2023 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group. This work is licensed under the Creative Commons Attribution – Non-Commercial – No Derivatives License http://creativecommons.org/licenses/by-nc-nd/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c366t-3fe9113946b1a884acb8eefbd9e6d2b0cf5eae8bd32b812f3775e64595ef70a63</cites><orcidid>0000-0002-7751-5489</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,776,780,27903,27904</link.rule.ids></links><search><creatorcontrib>Zubair, Muhammad</creatorcontrib><creatorcontrib>Ahmad, Fayyaz</creatorcontrib><creatorcontrib>Zubair, Zakariya</creatorcontrib><creatorcontrib>Jabbar, Abdul</creatorcontrib><creatorcontrib>Baig, Jiya</creatorcontrib><title>Validation of fibre stress utilization model for modified ring spun yarns</title><title>Journal of the Textile Institute</title><description>To model the fibre stress utilization in modified ring spun yarns, we developed an analytical formula from the experimental data. The development of empirical formulae is carried out by using two different techniques, i.e., Cubic Spline and Artificial Neural Network methods. The experimental data of stress-strain curves of fibre and yarn has a large variation. To cope this variability, we used the smoothing spline technique to find the best-fit curve with respect to a reasonable smoothness. The best nonlinear smooth fitting can be used to extrapolate the experimental data beyond the breaking point. The modified ring spun yarns (compact, SIRO and SIRO-compact) with 20/1, 30/1 and 40/1 English count, produced from viscose staple fibre, were used to predict fibre stress utilization up to the yarn break by extrapolating the mean stress-strain curves of fibre and yarn by using the artificial neural network. Moreover, a new distribution function of fibre distribution in yarn has been proposed and successfully implemented for the prediction of fibre stress utilization in yarn. The new formulation helps to compute the fibre stress utilization in the yarn analytically. The validation of the proposed methodology is presented by comparing the numerical results with the experimental data. The predicted fibre stress utilization was in good agreement with the experimental fibre stress utilization for all types of modified ring spun yarns. It has been observed that SIRO-compact yarn exhibits improved fibre stress utilization as compared to SIRO and compact yarns. Moreover, the new distribution functions Gamma and Gaussian distribution were introduced in parallel with the Dirac delta function. In previous similar studies on ring, rotor and air-jet spun yarns, the proposed model can only predict the fibre stress utilization before the breakage point whereas the modified model, in this study, can predict the fibre stress utilization up to the breaking point.</description><subject>artificial neural network</subject><subject>Artificial neural networks</subject><subject>cubic spline</subject><subject>Curve fitting</subject><subject>Data analysis</subject><subject>Data smoothing</subject><subject>Delta function</subject><subject>Distribution functions</subject><subject>fabrics</subject><subject>Fibre stress utilization</subject><subject>Gaussian quadrature method</subject><subject>modified ring spun yarns</subject><subject>Neural networks</subject><subject>Normal distribution</subject><subject>prediction</subject><subject>Predictions</subject><subject>Siro</subject><subject>Smoothness</subject><subject>Stress-strain curves</subject><subject>Stress-strain relationships</subject><subject>Utilization</subject><subject>viscose</subject><subject>Yarns</subject><issn>0040-5000</issn><issn>1754-2340</issn><issn>1754-2340</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><sourceid>0YH</sourceid><recordid>eNp9kEtLxDAQgIMouK7-BKHgxUvXybPtTVl8wYIX9RrSdiJZ2mZNWmT99bZ0vXjwNAPzzesj5JLCikIONwACJACsGDC-YixXwOkRWdBMipRxAcdkMTHpBJ2Ssxi3ADyHgi7I87tpXG1657vE28S6MmAS-4AxJkPvGvc911pfY5NYH6bMWYd1Elz3kcTd0CV7E7p4Tk6saSJeHOKSvD3cv66f0s3L4_P6bpNWXKk-5RYLSnkhVElNngtTlTmiLesCVc1KqKxEg3lZc1bmlFmeZRKVkIVEm4FRfEmu57m74D8HjL1uXaywaUyHfoiaUzn-prJiQq_-oFs_hG68bqRoIaSgIhspOVNV8DEGtHoXXGvCXlPQk2D9K1hPgvVB8Nh3O_e5bvTSmi8fmlr3Zt_4YIPpKjet-XfEDzcqgaQ</recordid><startdate>20241101</startdate><enddate>20241101</enddate><creator>Zubair, Muhammad</creator><creator>Ahmad, Fayyaz</creator><creator>Zubair, Zakariya</creator><creator>Jabbar, Abdul</creator><creator>Baig, Jiya</creator><general>Taylor & Francis</general><general>Taylor & Francis Ltd</general><scope>0YH</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7SR</scope><scope>7TA</scope><scope>8FD</scope><scope>F28</scope><scope>FR3</scope><scope>JG9</scope><scope>7S9</scope><scope>L.6</scope><orcidid>https://orcid.org/0000-0002-7751-5489</orcidid></search><sort><creationdate>20241101</creationdate><title>Validation of fibre stress utilization model for modified ring spun yarns</title><author>Zubair, Muhammad ; Ahmad, Fayyaz ; Zubair, Zakariya ; Jabbar, Abdul ; Baig, Jiya</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c366t-3fe9113946b1a884acb8eefbd9e6d2b0cf5eae8bd32b812f3775e64595ef70a63</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2024</creationdate><topic>artificial neural network</topic><topic>Artificial neural networks</topic><topic>cubic spline</topic><topic>Curve fitting</topic><topic>Data analysis</topic><topic>Data smoothing</topic><topic>Delta function</topic><topic>Distribution functions</topic><topic>fabrics</topic><topic>Fibre stress utilization</topic><topic>Gaussian quadrature method</topic><topic>modified ring spun yarns</topic><topic>Neural networks</topic><topic>Normal distribution</topic><topic>prediction</topic><topic>Predictions</topic><topic>Siro</topic><topic>Smoothness</topic><topic>Stress-strain curves</topic><topic>Stress-strain relationships</topic><topic>Utilization</topic><topic>viscose</topic><topic>Yarns</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Zubair, Muhammad</creatorcontrib><creatorcontrib>Ahmad, Fayyaz</creatorcontrib><creatorcontrib>Zubair, Zakariya</creatorcontrib><creatorcontrib>Jabbar, Abdul</creatorcontrib><creatorcontrib>Baig, Jiya</creatorcontrib><collection>Taylor & Francis Open Access</collection><collection>CrossRef</collection><collection>Engineered Materials Abstracts</collection><collection>Materials Business File</collection><collection>Technology Research Database</collection><collection>ANTE: Abstracts in New Technology & Engineering</collection><collection>Engineering Research Database</collection><collection>Materials Research Database</collection><collection>AGRICOLA</collection><collection>AGRICOLA - Academic</collection><jtitle>Journal of the Textile Institute</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Zubair, Muhammad</au><au>Ahmad, Fayyaz</au><au>Zubair, Zakariya</au><au>Jabbar, Abdul</au><au>Baig, Jiya</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Validation of fibre stress utilization model for modified ring spun yarns</atitle><jtitle>Journal of the Textile Institute</jtitle><date>2024-11-01</date><risdate>2024</risdate><volume>115</volume><issue>11</issue><spage>2294</spage><epage>2306</epage><pages>2294-2306</pages><issn>0040-5000</issn><issn>1754-2340</issn><eissn>1754-2340</eissn><abstract>To model the fibre stress utilization in modified ring spun yarns, we developed an analytical formula from the experimental data. The development of empirical formulae is carried out by using two different techniques, i.e., Cubic Spline and Artificial Neural Network methods. The experimental data of stress-strain curves of fibre and yarn has a large variation. To cope this variability, we used the smoothing spline technique to find the best-fit curve with respect to a reasonable smoothness. The best nonlinear smooth fitting can be used to extrapolate the experimental data beyond the breaking point. The modified ring spun yarns (compact, SIRO and SIRO-compact) with 20/1, 30/1 and 40/1 English count, produced from viscose staple fibre, were used to predict fibre stress utilization up to the yarn break by extrapolating the mean stress-strain curves of fibre and yarn by using the artificial neural network. Moreover, a new distribution function of fibre distribution in yarn has been proposed and successfully implemented for the prediction of fibre stress utilization in yarn. The new formulation helps to compute the fibre stress utilization in the yarn analytically. The validation of the proposed methodology is presented by comparing the numerical results with the experimental data. The predicted fibre stress utilization was in good agreement with the experimental fibre stress utilization for all types of modified ring spun yarns. It has been observed that SIRO-compact yarn exhibits improved fibre stress utilization as compared to SIRO and compact yarns. Moreover, the new distribution functions Gamma and Gaussian distribution were introduced in parallel with the Dirac delta function. In previous similar studies on ring, rotor and air-jet spun yarns, the proposed model can only predict the fibre stress utilization before the breakage point whereas the modified model, in this study, can predict the fibre stress utilization up to the breaking point.</abstract><cop>Manchester</cop><pub>Taylor & Francis</pub><doi>10.1080/00405000.2023.2286031</doi><tpages>13</tpages><orcidid>https://orcid.org/0000-0002-7751-5489</orcidid><oa>free_for_read</oa></addata></record> |
fulltext | fulltext |
identifier | ISSN: 0040-5000 |
ispartof | Journal of the Textile Institute, 2024-11, Vol.115 (11), p.2294-2306 |
issn | 0040-5000 1754-2340 1754-2340 |
language | eng |
recordid | cdi_proquest_journals_3119454147 |
source | Taylor and Francis:Jisc Collections:Taylor and Francis Read and Publish Agreement 2024-2025:Science and Technology Collection (Reading list) |
subjects | artificial neural network Artificial neural networks cubic spline Curve fitting Data analysis Data smoothing Delta function Distribution functions fabrics Fibre stress utilization Gaussian quadrature method modified ring spun yarns Neural networks Normal distribution prediction Predictions Siro Smoothness Stress-strain curves Stress-strain relationships Utilization viscose Yarns |
title | Validation of fibre stress utilization model for modified ring spun yarns |
url | http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-24T10%3A07%3A52IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Validation%20of%20fibre%20stress%20utilization%20model%20for%20modified%20ring%20spun%20yarns&rft.jtitle=Journal%20of%20the%20Textile%20Institute&rft.au=Zubair,%20Muhammad&rft.date=2024-11-01&rft.volume=115&rft.issue=11&rft.spage=2294&rft.epage=2306&rft.pages=2294-2306&rft.issn=0040-5000&rft.eissn=1754-2340&rft_id=info:doi/10.1080/00405000.2023.2286031&rft_dat=%3Cproquest_cross%3E3153806796%3C/proquest_cross%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-c366t-3fe9113946b1a884acb8eefbd9e6d2b0cf5eae8bd32b812f3775e64595ef70a63%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_pqid=3119454147&rft_id=info:pmid/&rfr_iscdi=true |