Optimisation of material properties for the modelling of large deformation manufacturing processes using a finite element model of the Gleeble compression test
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...
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| Format: | Article |
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SAGE
2014
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| Online Access: | https://eprints.nottingham.ac.uk/35533/ |
| _version_ | 1848795100360998912 |
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| author | Bennett, Chris Sun, Wei |
| author_facet | Bennett, Chris Sun, Wei |
| author_sort | Bennett, Chris |
| building | Nottingham Research Data Repository |
| collection | Online Access |
| description | 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. |
| first_indexed | 2025-11-14T19:26:43Z |
| format | Article |
| id | nottingham-35533 |
| institution | University of Nottingham Malaysia Campus |
| institution_category | Local University |
| last_indexed | 2025-11-14T19:26:43Z |
| publishDate | 2014 |
| publisher | SAGE |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | nottingham-355332020-05-04T16:43:18Z https://eprints.nottingham.ac.uk/35533/ 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 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. SAGE 2014-02-06 Article PeerReviewed 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 Gleeble; Flow Stress; Finite Element Analysis; Optimisation; Material Testing http://sdj.sagepub.com/content/49/6/429 doi:10.1177/0309324713520310 doi:10.1177/0309324713520310 |
| spellingShingle | Gleeble; Flow Stress; Finite Element Analysis; Optimisation; Material Testing Bennett, Chris Sun, Wei Optimisation of material properties for the modelling of large deformation manufacturing processes using a finite element model of the Gleeble compression test |
| title | Optimisation of material properties for the modelling of large deformation manufacturing processes using a finite element model of the Gleeble compression test |
| title_full | Optimisation of material properties for the modelling of large deformation manufacturing processes using a finite element model of the Gleeble compression test |
| title_fullStr | Optimisation of material properties for the modelling of large deformation manufacturing processes using a finite element model of the Gleeble compression test |
| title_full_unstemmed | Optimisation of material properties for the modelling of large deformation manufacturing processes using a finite element model of the Gleeble compression test |
| title_short | Optimisation of material properties for the modelling of large deformation manufacturing processes using a finite element model of the Gleeble compression test |
| title_sort | optimisation of material properties for the modelling of large deformation manufacturing processes using a finite element model of the gleeble compression test |
| topic | Gleeble; Flow Stress; Finite Element Analysis; Optimisation; Material Testing |
| url | https://eprints.nottingham.ac.uk/35533/ https://eprints.nottingham.ac.uk/35533/ https://eprints.nottingham.ac.uk/35533/ |