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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

Chris Bennett chris.bennett@nottingham.ac.uk

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.

Journal Article Type Article
Journal Journal of Strain Analysis for Engineering Design
Print ISSN 0309-3247
Electronic ISSN 2041-3130
Publisher SAGE Publications (UK and US)
Peer Reviewed Peer Reviewed
Volume 49
Issue 6
Institution 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), doi:10.1177/0309324713520310
DOI https://doi.org/10.1177/0309324713520310
Keywords Gleeble; Flow Stress; Finite Element Analysis; Optimisation; Material Testing
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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