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Optimisation of material properties for the modelling of large deformation manufacturing processes using a finite element model of the Gleeble compression test

Bennett, Chris; Sun, Wei

Authors

Wei Sun w.sun@nottingham.ac.uk



Abstract

The finite element modelling of manufacturing processes often requires a large amount of large plastic strain flow stress data in order to represent the material of interest over a wide range of temperatures and strain rates. Compression data generated using a Gleeble thermo-mechanical simulator is difficult to interpret due to the complex temperature and strain fields, which exist within the specimen during the test. In this study, a non-linear optimisation process is presented, which includes a finite element model of the compression process to accurately determine the constants of a five-parameter Norton–Hoff material model. The optimisation process is first verified using a reduced three-parameter model and then the full five-parameter model using a known set of constants to produce the target data, from which the errors are assessed. Following this, the optimisation is performed using experimental target data starting from a set of constants derived from the test data using an initial least-squares fit and also an arbitrary starting point within the parameter space. The results of these tests yield coefficients differing by a maximum of less than 10% and significantly improve the representation of the flow stress of the material.

Citation

Bennett, C., & Sun, W. (in press). Optimisation of material properties for the modelling of large deformation manufacturing processes using a finite element model of the Gleeble compression test. Journal of Strain Analysis for Engineering Design, 49(6), https://doi.org/10.1177/0309324713520310

Journal Article Type Article
Acceptance Date Dec 13, 2013
Online Publication Date Feb 6, 2014
Deposit Date Aug 1, 2016
Publicly Available Date Aug 1, 2016
Journal Journal of Strain Analysis for Engineering Design
Print ISSN 0309-3247
Electronic ISSN 2041-3130
Publisher SAGE Publications
Peer Reviewed Peer Reviewed
Volume 49
Issue 6
DOI https://doi.org/10.1177/0309324713520310
Keywords Gleeble; Flow Stress; Finite Element Analysis; Optimisation; Material Testing
Public URL http://eprints.nottingham.ac.uk/id/eprint/35533
Publisher URL http://sdj.sagepub.com/content/49/6/429
Copyright Statement Copyright information regarding this work can be found at the following address: http://eprints.nottingh.../end_user_agreement.pdf

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Copyright Statement
Copyright information regarding this work can be found at the following address: http://eprints.nottingham.ac.uk/end_user_agreement.pdf





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