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Ass. Lect. Ahmed Omar Mosleh Omar :: Publications:

Title:
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:
Full paper Ahmed Omar Mosleh Omar _metals-07-00568.pdf
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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