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

Bennett, Chris and Sun, Wei (2014) 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). pp. 429-436. ISSN 2041-3130

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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.

Item Type: Article
Keywords: Gleeble; Flow Stress; Finite Element Analysis; Optimisation; Material Testing
Schools/Departments: University of Nottingham UK Campus > Faculty of Engineering > Department of Mechanical, Materials and Manufacturing Engineering
Identification Number: https://doi.org/10.1177/0309324713520310
Depositing User: Bennett, Chris(m3_academic)
Date Deposited: 01 Aug 2016 09:04
Last Modified: 14 Sep 2016 15:20
URI: http://eprints.nottingham.ac.uk/id/eprint/35533

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