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| Estimation of flow curve and friction coefficient by means of a one-step ring test using a neural network coupled with FE simulations
Faramarz Fereshteh-Saniee*, S. Hassan Nourbakhsh and S. Mahmoud Pezeshki
The Journal of Mechanical Science and Technology, vol. 26, no. 1, pp.153-160, 2012
Abstract : This paper is concerned with application of artificial neural network (ANN) to the ring compression test for simultaneous
determination of the flow curve of the material and the friction factor. The developed ANN model was trained using data from 700 finiteelement
(FE) simulations of the ring test. The load curve of this test and the final internal diameter of the sample are the inputs for this
ANN model and the outputs are the strength coefficient, strain hardening exponent and the friction factor. It was found that the outputs of
the developed ANN model were in good agreement with the experimental results.
Keyword : Finite elements; Flow curve; Friction factor; Neural networks; Ring test |
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