A comparison of mass parameters determination using capacitive and optical sensors

Detalhes bibliográficos
Autor(a) principal: Carvalho, Vítor
Data de Publicação: 2011
Outros Autores: Belsley, M., Vasconcelos, Rosa, Soares, Filomena
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/1822/15336
Resumo: This paper presents a comparison study between the use of 1mmresolution capacitive and optical sensors for the determination of yarn mass parameters. A parallel plate capacitive sensor to determine yarn mass variations and a yarn diameter and hairiness determination solution using optical sensors and integrating optical signal processing based on Fourier analysis are described. As there is a high correlation between yarn diameter and yarn mass, it is possible to determine yarn mass and infer variations in yarn diameter and vice versa. Moreover, by optically detecting the degree of yarn hairiness, one can quantify its influence on the capacitive sensor mass variation measurements. Here we present the results of a signal processing analysis and statistical description of measurements carried out in two 100% cotton yarns with a linear mass of 59 and 295 g/km performed in yarn system quality (YSQ) machine. We conclude that an accurate yarn characterization can be carried out using optical sensors alone, reducing system’s cost and complexity and increasing efficiency.
id RCAP_f6bb970cd1340ed610b8d1d0b91beeb7
oai_identifier_str oai:repositorium.sdum.uminho.pt:1822/15336
network_acronym_str RCAP
network_name_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
repository_id_str 7160
spelling A comparison of mass parameters determination using capacitive and optical sensorsTextile fibersOptical characterizationYarn mass parameterizationDiameter and mass correlationOptical sensorsCapacitive sensorsOptical signal processingScience & TechnologyThis paper presents a comparison study between the use of 1mmresolution capacitive and optical sensors for the determination of yarn mass parameters. A parallel plate capacitive sensor to determine yarn mass variations and a yarn diameter and hairiness determination solution using optical sensors and integrating optical signal processing based on Fourier analysis are described. As there is a high correlation between yarn diameter and yarn mass, it is possible to determine yarn mass and infer variations in yarn diameter and vice versa. Moreover, by optically detecting the degree of yarn hairiness, one can quantify its influence on the capacitive sensor mass variation measurements. Here we present the results of a signal processing analysis and statistical description of measurements carried out in two 100% cotton yarns with a linear mass of 59 and 295 g/km performed in yarn system quality (YSQ) machine. We conclude that an accurate yarn characterization can be carried out using optical sensors alone, reducing system’s cost and complexity and increasing efficiency.Fundação para a Ciência e a Tecnologia (FCT) - BD/19028/2004ElsevierUniversidade do MinhoCarvalho, VítorBelsley, M.Vasconcelos, RosaSoares, Filomena2011-03-082011-03-08T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/1822/15336eng0924-424710.1016/j.sna.2011.03.006www.elsevier.com/info:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2023-07-21T12:20:18Zoai:repositorium.sdum.uminho.pt:1822/15336Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T19:13:24.541753Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv A comparison of mass parameters determination using capacitive and optical sensors
title A comparison of mass parameters determination using capacitive and optical sensors
spellingShingle A comparison of mass parameters determination using capacitive and optical sensors
Carvalho, Vítor
Textile fibers
Optical characterization
Yarn mass parameterization
Diameter and mass correlation
Optical sensors
Capacitive sensors
Optical signal processing
Science & Technology
title_short A comparison of mass parameters determination using capacitive and optical sensors
title_full A comparison of mass parameters determination using capacitive and optical sensors
title_fullStr A comparison of mass parameters determination using capacitive and optical sensors
title_full_unstemmed A comparison of mass parameters determination using capacitive and optical sensors
title_sort A comparison of mass parameters determination using capacitive and optical sensors
author Carvalho, Vítor
author_facet Carvalho, Vítor
Belsley, M.
Vasconcelos, Rosa
Soares, Filomena
author_role author
author2 Belsley, M.
Vasconcelos, Rosa
Soares, Filomena
author2_role author
author
author
dc.contributor.none.fl_str_mv Universidade do Minho
dc.contributor.author.fl_str_mv Carvalho, Vítor
Belsley, M.
Vasconcelos, Rosa
Soares, Filomena
dc.subject.por.fl_str_mv Textile fibers
Optical characterization
Yarn mass parameterization
Diameter and mass correlation
Optical sensors
Capacitive sensors
Optical signal processing
Science & Technology
topic Textile fibers
Optical characterization
Yarn mass parameterization
Diameter and mass correlation
Optical sensors
Capacitive sensors
Optical signal processing
Science & Technology
description This paper presents a comparison study between the use of 1mmresolution capacitive and optical sensors for the determination of yarn mass parameters. A parallel plate capacitive sensor to determine yarn mass variations and a yarn diameter and hairiness determination solution using optical sensors and integrating optical signal processing based on Fourier analysis are described. As there is a high correlation between yarn diameter and yarn mass, it is possible to determine yarn mass and infer variations in yarn diameter and vice versa. Moreover, by optically detecting the degree of yarn hairiness, one can quantify its influence on the capacitive sensor mass variation measurements. Here we present the results of a signal processing analysis and statistical description of measurements carried out in two 100% cotton yarns with a linear mass of 59 and 295 g/km performed in yarn system quality (YSQ) machine. We conclude that an accurate yarn characterization can be carried out using optical sensors alone, reducing system’s cost and complexity and increasing efficiency.
publishDate 2011
dc.date.none.fl_str_mv 2011-03-08
2011-03-08T00:00:00Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/1822/15336
url http://hdl.handle.net/1822/15336
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 0924-4247
10.1016/j.sna.2011.03.006
www.elsevier.com/
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Elsevier
publisher.none.fl_str_mv Elsevier
dc.source.none.fl_str_mv reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron:RCAAP
instname_str Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron_str RCAAP
institution RCAAP
reponame_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
collection Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
repository.name.fl_str_mv Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
repository.mail.fl_str_mv
_version_ 1799132573244325888