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

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: https://nottingham-repository.worktribe.com/output/723429
• Publisher URL: http://sdj.sagepub.com/content/49/6/429
• Contract Date: Aug 1, 2016