Modelling of the superplastic deformation of the near-a titanium alloy (Ti-2.5AL-1.8MN) using arrhenius-type constitutive model and artificial neural network

Mosleh, Ahmed and Mikhaylovskaya, Anastasia and Kotov, Anton and Pourcelot, Theo and Aksenov, Sergey and Kwame, James and Portnoy, Vladimir (2017) Modelling of the superplastic deformation of the near-a titanium alloy (Ti-2.5AL-1.8MN) using arrhenius-type constitutive model and artificial neural network. Metals, 7 (12). 568. ISSN 0379-6779 (https://doi.org/10.3390/met7120568)

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Abstract

The paper focuses on developing constitutive models for superplastic deformation behaviour of near-α titanium alloy (Ti-2.5Al-1.8Mn) at elevated temperatures in a range from 840 to 890 °C and in a strain rate range from 2 × 10−4 to 8 × 10−4 s−1. Stress–strain experimental tensile tests data were used to develop the mathematical models. Both, hyperbolic sine Arrhenius-type constitutive model and artificial neural-network model were constructed. A comparative study on the competence of the developed models to predict the superplastic deformation behaviour of this alloy was made. The fitting results suggest that the artificial neural-network model has higher accuracy and is more efficient in fitting the superplastic deformation flow behaviour of near-αTitanium alloy (Ti-2.5Al-1.8Mn) at superplastic forming than the Arrhenius-type constitutive model. However, the tested results revealed that the error for the artificial neural-network is higher than the case of Arrhenius-type constitutive model for predicting the unmodelled conditions.

ORCID iDs

Mosleh, Ahmed, Mikhaylovskaya, Anastasia, Kotov, Anton, Pourcelot, Theo, Aksenov, Sergey, Kwame, James ORCID logoORCID: https://orcid.org/0000-0002-9583-0124 and Portnoy, Vladimir;
CORE (COnnecting REpositories)