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publication name Modelling of the Superplastic Deformation of the Near-α Titanium Alloy (Ti-2.5 Al-1.8 Mn) Using Arrhenius-Type Constitutive Model and Artificial Neural Network
Authors Ahmed Mosleh, Anastasia Mikhaylovskaya, Anton Kotov, Theo Pourcelot, Sergey Aksenov, James Kwame, Vladimir Portnoy
year 2017
keywords superplasticity; titanium alloys; constitutive modelling; arrhenius-type constitutive equation; artificial neural network; activation energy
journal Metals
volume 7
issue 12
pages 568
publisher Multidisciplinary Digital Publishing Institute
Local/International International
Paper Link http://www.mdpi.com/2075-4701/7/12/568
Full paper download
Supplementary materials Not Available
Abstract

The paper focuses on developing constitutive models for superplastic deformation behaviour of near-α titanium alloy (Ti-2.5 Al-1.8 Mn) 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-α Titanium alloy (Ti-2.5 Al-1.8 Mn) at superplastic forming than the Arrhenius-type constitutive model. However, the tested

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