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

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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)