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Hyperelastic material characterization: A method of reducing the error of using only uniaxial data for fitting mooney-rivlin curve

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dc.title Hyperelastic material characterization: A method of reducing the error of using only uniaxial data for fitting mooney-rivlin curve 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 Materials Science Forum
dc.identifier.issn 0255-5476 Scopus Sources, Sherpa/RoMEO, JCR
dc.date.issued 2018
utb.relation.volume 919
dc.citation.spage 292
dc.citation.epage 298
dc.type bookPart
dc.language.iso en
dc.publisher Trans Tech Publications Ltd.
dc.identifier.doi 10.4028/www.scientific.net/MSF.919.292
dc.relation.uri https://www.scientific.net/MSF.919.292
dc.subject Data fitting en
dc.subject Equi-biaxial tension en
dc.subject Hyperelastic materials en
dc.subject Material constants en
dc.subject Uniaxial tension en
dc.description.abstract The risk of error in using only uniaxial data for fitting constitutive model curves is emphasized by many hyperelastic material researchers over the years. Unfortunately, despite these indications, often the method is utilized in finding material constants for mathematical models. The reason behind this erroneous practice is the difficulty in obtaining biaxial data. Therefore, as a remedial measure, in this research work we suggest a method of forecasting biaxial data from uniaxial data with a reasonable accuracy. Initially, a set of data is collected through standard uniaxial test. A predefined generalized function is then used to generate a set of values which subsequently used as multiplication factors in order to get biaxial tension data. Eventually, with availability of two data sets, Mooney-Rivlin two parameter model was used for combined data fitting. Material constants were then obtained through least squares approach and thereby theoretical load curves namely uniaxial, equi-biaxial tension and pure shear were drawn. The results of this work suggest a definite improvement related to three curves when compared with only uniaxial test data fitted outcomes. For validation of secondary biaxial data, separate eqi-biaxial test was done and resulting curves were compared. Biaxial primary data curve and forecasted data driven curve show identical data distribution pattern though there is a shift and therefore provide a basis for further research in this direction. © 2018 Trans Tech Publications, Switzerland. en
utb.faculty Faculty of Technology
dc.identifier.uri http://hdl.handle.net/10563/1008013
utb.identifier.scopus 2-s2.0-85045456980
utb.identifier.coden MSFOE
utb.source c-scopus
dc.date.accessioned 2018-07-27T08:47:40Z
dc.date.available 2018-07-27T08:47:40Z
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 Department of Production Engineering, Faculty of Technology, Tomas Bata University in Zlin, nam. T.G. Masaryka 5555, 760 01 Zlin, Czech Republic E-mails: keerthiwansa@utb.cz, javorik@utb.cz, Jan.Kledrowetz@mitas-tyres.com, Pavel.Nekoksa@hzap.cz
utb.fulltext.dates Submitted: 2017-09-29 Revised: 2017-11-23 Accepted: 2017-11-23 Online: 2018-04-10
utb.fulltext.faculty Faculty of Technology
utb.fulltext.faculty Faculty of Technology
utb.fulltext.faculty Faculty of Technology
utb.fulltext.faculty Faculty of Technology
utb.fulltext.ou Department of Production Engineering
utb.fulltext.ou Department of Production Engineering
utb.fulltext.ou Department of Production Engineering
utb.fulltext.ou Department of Production Engineering
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