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Hyperelastic-material characterization: A comparison of material constants

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dc.title Hyperelastic-material characterization: A comparison of material constants en
dc.contributor.author Keerthiwansa, Gustinna Wadu Rohitha
dc.contributor.author Javořík, Jakub
dc.contributor.author Kledrowetz, Jan
dc.relation.ispartof Materiali in Tehnologije
dc.identifier.issn 1580-2949 Scopus Sources, Sherpa/RoMEO, JCR
dc.date.issued 2020
utb.relation.volume 54
utb.relation.issue 1
dc.citation.spage 121
dc.citation.epage 123
dc.type article
dc.language.iso en
dc.publisher Institute of Metals Technology
dc.identifier.doi 10.17222/mit.2019.161
dc.relation.uri http://mit.imt.si/izvodi/mit201/keert.pdf
dc.subject elastomers en
dc.subject hyperelasticity en
dc.subject material constants en
dc.subject data fitting en
dc.description.abstract Data fitting is an essential part of obtaining material constants for hyperelastic models. However, due to inadequate experimental data, a single-data set, i.e. uniaxial data, is often used for fitting. Despite a frequent use of this method, it is proven that it provides an inaccurate forecast for a characterization. Therefore, as an alternative method, combined-data fitting is usually recommended. In this research, material constants calculated through two different data-fitting methods were evaluated in terms of dispersion. First, material constants were obtained by taking the average of two single-data-set fitted constants (the uniaxial and biaxial data). The second method used the combined-data fitting to find the material constants. Using the constants found, biaxial and uniaxial curves were drawn for each case. For this purpose, three models, the Mooney, Ogden and Yeoh model, were selected. When considering the Mooney model, the averaged method seems not to show a sufficient improvement to the biaxial curve. The Yeoh model reacts equally to both methods, while the Ogden model seems not to be applicable to the averaged method. © 2020 Institute of Metals Technology. en
utb.faculty Faculty of Technology
dc.identifier.uri http://hdl.handle.net/10563/1009638
utb.identifier.obdid 43881589
utb.identifier.scopus 2-s2.0-85081686118
utb.identifier.wok 000536656900018
utb.source j-scopus
dc.date.accessioned 2020-04-03T15:08:55Z
dc.date.available 2020-04-03T15:08:55Z
dc.description.sponsorship TBU in Zlin [IGA/FT/2019/001]
dc.rights.uri http://mit.imt.si/
dc.rights.access openAccess
utb.ou Department of Production Engineering
utb.contributor.internalauthor Keerthiwansa, Gustinna Wadu Rohitha
utb.contributor.internalauthor Javořík, Jakub
utb.contributor.internalauthor Kledrowetz, Jan
utb.fulltext.affiliation Rohitha Keerthiwansa *, Jakub Javorik, Jan Kledrowetz Department of Production Engineering, Faculty of Technology, Tomas Bata University in Zlin, Vavrečkova 275, 760 01 Zlin, Czech Republic * Corresponding author's e-mail: [email protected] (Rohitha Keerthiwansa)
utb.fulltext.dates received: 2019-07-16 accepted for publication: 2019-11-04
utb.fulltext.sponsorship This work and the project were realised with the financial support of an internal grant of TBU in Zlin, No. IGA/FT/2019/001, funded from the resources for specific university research.
utb.wos.affiliation [Keerthiwansa, Rohitha; Javorik, Jakub; Kledrowetz, Jan] Tomas Bata Univ Zlin, Fac Technol, Dept Prod Engn, Vavreackova 275, Zlin 76001, Czech Republic
utb.scopus.affiliation Department of Production Engineering, Faculty of Technology, Tomas Bata University in Zlin, Vavrečkova 275, Zlin, 760 01, Czech Republic
utb.fulltext.projects IGA/FT/2019/001
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
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