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Elastomer testing: The risk of using only uniaxial data for fitting the Mooney-Rivlin hyperelastic-material model

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dc.title Elastomer testing: The risk of using only uniaxial data for fitting the Mooney-Rivlin hyperelastic-material model en
dc.contributor.author Keerthiwansa, Gustinna Wadu Rohitha
dc.contributor.author Javořík, Jakub
dc.contributor.author Kledrowetz, Jan
dc.contributor.author Nekoksa, Pavel
dc.relation.ispartof Materiali in Tehnologije
dc.identifier.issn 1580-2949 Scopus Sources, Sherpa/RoMEO, JCR
dc.date.issued 2018
utb.relation.volume 52
utb.relation.issue 1
dc.citation.spage 3
dc.citation.epage 8
dc.type article
dc.language.iso en
dc.publisher Institute of Metals Technology
dc.identifier.doi 10.17222/mit.2017.085
dc.relation.uri http://mit.imt.si/Revija/mit181.html
dc.subject uniaxial tension en
dc.subject equibiaxial loading en
dc.subject pure shear/planar shear loading en
dc.subject curve fitting en
dc.subject Mooney-Rivlin constitutive model en
dc.description.abstract The Mooney-Rivlin constitutive model is often used for the characterization of hyperelastic rubber-like materials. To obtain the material constants for a model, only a uniaxial-tension-data set is usually used. Though it is regularly used for its easiness of processing data in a simple and practical way, the method is considered to be insufficiently accurate. To analyse the shortcoming of the method, a detailed examination was done with the Mooney-Rivlin two-parameter model. This paper discusses the variations related to three basic load curves, i.e., uniaxial, equibiaxial and pure-shear curves. For a visual observation of the fitted-data dispersion, two data-fitting cases were considered. The first one was the data fitting only through uniaxial data while the second one was a combination of uniaxial and pure-shear experimental-data curve fitting. A detailed one-to-one comparison of the curves was done to achieve an accurate estimation of the variations. en
utb.faculty Faculty of Technology
dc.identifier.uri http://hdl.handle.net/10563/1007759
utb.identifier.obdid 43877342
utb.identifier.scopus 2-s2.0-85041604136
utb.identifier.wok 000426282800001
utb.source j-scopus
dc.date.accessioned 2018-02-26T10:20:06Z
dc.date.available 2018-02-26T10:20:06Z
dc.description.sponsorship TBU in Zlin [IGA/FT/2017/002]
dc.rights.uri http://mit.imt.si/
dc.rights.access openAccess
utb.contributor.internalauthor Keerthiwansa, Gustinna Wadu Rohitha
utb.contributor.internalauthor Javořík, Jakub
utb.contributor.internalauthor Kledrowetz, Jan
utb.contributor.internalauthor Nekoksa, Pavel
utb.fulltext.affiliation Rohitha Keerthiwansa, Jakub Javorik, Jan Kledrowetz, Pavel Nekoksa Tomas Bata University in Zlín, Faculty of Technology, Vavreckova 275, 760 01 Zlín, Czech Republic keerthiwansa@utb.cz
utb.fulltext.dates Prejem rokopisa – received: 2017-06-27; sprejem za objavo – accepted for publication: 2017-10-20
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utb.fulltext.sponsorship This work and the project were realised with the financial support of an internal grant of the TBU in Zlin, No. IGA/FT/2017/002, funded from the resources for the specific university research.
utb.scopus.affiliation Tomas Bata University in Zlín, Faculty of Technology, Vavreckova 275, Zlín, Czech Republic
utb.fulltext.projects IGA/FT/2017/002
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