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Electroplastic behaviour in an aluminium alloy and dislocation density based modelling
Electroplasticity refers to the application of controlled electric pulses during plastic deformation of materials. The electroplasticity phenomenon in metallic materials has led to the development of electrically assisted forming (EAF) process with improved formability. The lack of a suitable consti...
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Published in: | Materials & design 2017-06, Vol.124, p.131-142 |
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Main Authors: | , , , , , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
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Summary: | Electroplasticity refers to the application of controlled electric pulses during plastic deformation of materials. The electroplasticity phenomenon in metallic materials has led to the development of electrically assisted forming (EAF) process with improved formability. The lack of a suitable constitutive model to describe this electroplastic behaviour is a serious limitation in modelling and optimizing the EAF process. In the present work, a dislocation – density based constitutive model is developed for electroplastic deformation and is capable of predicting the effect of continuous and pulsed electric current during plastic deformation. Single- pulse electroplastic deformation experiments conducted on Al 5052 reveal similar mechanical behaviour as that predicted by the proposed model. The proposed model is also validated against published results for multiple electric pulses using Al 5052. The predicted results correlate well with the experimental data. Based on the predicted results, it is demonstrated that the long range softening observed in certain experiments results from the frequent application of electric pulses and is not due to any other internal softening mechanism.
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•New constitutive model for electroplastic deformation based on dislocation density is proposed.•The new model can predict the mechanical behaviour under continuous and pulsed electric current.•Model predictions correlate well with the experimental observations in Al 5052 alloy.•The model is flexible and can be easily implemented in FE software |
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ISSN: | 0264-1275 1873-4197 |
DOI: | 10.1016/j.matdes.2017.03.072 |