Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/29787
DC FieldValueLanguage
dc.contributorInstitute of Textiles and Clothing-
dc.contributorDepartment of Health Technology and Informatics-
dc.creatorLin, Y-
dc.creatorChoi, KF-
dc.creatorZhang, M-
dc.creatorLi, Y-
dc.creatorLuximon, A-
dc.creatorYao, L-
dc.creatorHu, J-
dc.date.accessioned2015-06-23T09:09:50Z-
dc.date.available2015-06-23T09:09:50Z-
dc.identifier.issn0040-5175-
dc.identifier.urihttp://hdl.handle.net/10397/29787-
dc.language.isoenen_US
dc.publisherSAGE Publicationsen_US
dc.subjectclothing stressen_US
dc.subjectcompression sportswearen_US
dc.subjectcontact pressureen_US
dc.subjectfinite elementen_US
dc.subjecthyperelastic materialen_US
dc.subjectresponse surface methoden_US
dc.titleAn optimized design of compression sportswear fabric using numerical simulation and the response surface methoden_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.spage108-
dc.identifier.epage116-
dc.identifier.volume82-
dc.identifier.issue2-
dc.identifier.doi10.1177/0040517511424531-
dcterms.abstractWell-designed compression sportswear can be used for the enhancement of athletic performance and reduction of injury. The material and geometric properties of fabric for compression sportswear are vital in achieving compression effects. This study evaluated and optimized the performance of fabric using the design of experiment (DOE) methods, the response surface method (RSM) and the finite element (FE) model. The evaluation and optimization procedure consisted of three phases. The first phase involved developing the FE model of a fabric tube and cylinder, and validated it by compression experiments involving different fabrics. The second phase evaluated the FE prediction using a five-factor experimental design, namely, hyperelastic properties, thickness, density, friction, and tensile strain. The third and final phase was an optimization process using RSM based on the evaluation results. Findings show that the FE predictions approach closely the results of validation experiments. The nonlinear elastic material properties (hyperelastic properties) and shape dimensions (thickness and tensile strain) of fabric tube were found to be important design factors in influencing contact pressure, while the density of fabric and interface friction coefficient played less important roles. The optimal FE model was determined using RSM analysis. The statistically based FE model was found to be an effective approach for evaluating and optimizing the design parameters of fabric for compression sportswear. The results can be applied to make sportswear that has different compression effects at selected anatomical locations to enhance performance and reduce injuries.-
dcterms.bibliographicCitationTextile research journal, 2012, v. 82, no. 2, p. 108-116-
dcterms.isPartOfTextile research journal-
dcterms.issued2012-
dc.identifier.isiWOS:000298185200002-
dc.identifier.scopus2-s2.0-83455195171-
dc.identifier.eissn1746-7748-
dc.identifier.rosgroupidr61793-
dc.description.ros2011-2012 > Academic research: refereed > Publication in refereed journal-
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