Material model calibration for superplastic forming

dc.contributor.authorJordaan, M.S.
dc.contributor.authorKok, Schalk
dc.contributor.emailschalk.kok@up.ac.zaen_ZA
dc.date.accessioned2018-10-30T05:02:55Z
dc.date.issued2019
dc.description.abstractSuperplastic forming is a slow forming process. The forming time can be minimized by optimizing the pressure profile applied to the forming sheet. The optimization of the superplastic forming pressure is usually done such that a target strain rate at a high strain rate sensitivity is maintained. Careful consideration of the strain rate is required, since localized thinning can occur when the material is strained too quickly. This paper demonstrates that it is essential to explicitly include strain rate sensitivity data, obtained from strain rate jump tests, during the calibration of material model used for superplastic forming simulations. Conventional calibration methods only consider stress–strain data at different strain rates. Such an approach implicitly assumes that a material model that matches the stress–strain data at the different strain rates, will automatically match strain rate sensitivity data. However, by explicitly including the strain rate sensitivity data, the selected material model is more susceptible to localized thinning as the applied strain rate is increased. It is essential for the selected material model to exhibit this behaviour to prevent superplastic forming simulations at high strain rates from predicting stable deformation, when in fact localized thinning will occur.en_ZA
dc.description.departmentMechanical and Aeronautical Engineeringen_ZA
dc.description.embargo2019-07-03
dc.description.librarianhj2018en_ZA
dc.description.urihttp://www.tandfonline.com/loi/gipe20en_ZA
dc.identifier.citationM.S. Jordaan & S. Kok (2019) Material model calibration forsuperplastic forming, Inverse Problems in Science and Engineering, 27:5, 589-607, DOI:10.1080/17415977.2018.1489802en_ZA
dc.identifier.issn1741-5977 (print)
dc.identifier.issn1741-5985 (online)
dc.identifier.other10.1080/17415977.2018.1489802
dc.identifier.urihttp://hdl.handle.net/2263/67103
dc.language.isoenen_ZA
dc.publisherTaylor and Francisen_ZA
dc.rights© 2018 Informa UK Limited, trading as Taylor & Francis Group. This is an electronic version of an article published in Inverse Problems in Science and Engineering, vol. 27, no. 5, pp. 589-607, 2019. doi : 10.1080/17415977.2018.1489802. Inverse Problems in Science and Engineering is available online at : http://www.tandfonline.com/loi/gipe20.en_ZA
dc.subjectMaterial modelen_ZA
dc.subjectSuperplastic formingen_ZA
dc.subjectStrain rate sensitivityen_ZA
dc.subjectFinite element methoden_ZA
dc.subjectOptimizationen_ZA
dc.subjectPressure profilesen_ZA
dc.subjectLocalized thinningen_ZA
dc.subjectHigh strain ratesen_ZA
dc.subjectCalibration methoden_ZA
dc.subjectAutomatically matchen_ZA
dc.subjectSuperplasticityen_ZA
dc.subject.otherEngineering, built environment and information technology articles SDG-09
dc.subject.otherSDG-09: Industry, innovation and infrastructure
dc.subject.otherEngineering, built environment and information technology articles SDG-12
dc.subject.otherSDG-12: Responsible consumption and production
dc.titleMaterial model calibration for superplastic formingen_ZA
dc.typePostprint Articleen_ZA

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