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| An approach for identification of material parameters in Bammann-Chiesa-Johnson viscoplastic constitutive model |
| Received:October 05, 2014 Revised:November 18, 2014 |
| View Full Text View/Add Comment Download reader |
| DOI：10.7511/jslx201504008 |
| KeyWord:BCJ viscoplastic constitutive model parameter estimation parameter identification particle swarm optimization |
| Author | Institution |
| 谭阳 |
昆明理工大学 机电工程学院, 昆明 |
| 迟毅林 |
昆明理工大学 机电工程学院, 昆明 |
| 黄亚宇 |
昆明理工大学 机电工程学院, 昆明 |
| 姚廷强 |
昆明理工大学 机电工程学院, 昆明 |
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| Abstract: |
| Whether the viscoplastic constitutive model can successfully simulate the high strain rate and large strain deformation of metals depends on the quality of material parameter identification.It is difficult to determinate the material parameters in BCJ model by experiment directly.The reasons are due to that it considers the coupling of strain rate and temperature with material hardening as well as the strain rate and temperature history effects,and it also includes a number of parameters.To the coupling and history effects,based on clarification of physical significance of the material parameters,a method was provided to estimate the parameter value in this paper.Using this method,the parameters in BCJ model were decoupled and separated from each other,and the formulas for material parameters estimation were derived,the zone of the parameter value was estimated.On this basis,the radial return algorithm used to integrate the stress of the model and the particle swarm optimization algorithm were implemented,and then inverse analysis reconsidering the coupling and history effects in the model was applied to identify the material parameters by optimizing them over the estimated zone of parameter value.Take OFHC Cu as an example,the material parameters in BCJ model were obtained by using the proposed approach,the calculated results agree well with the experimental ones. |
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