Isothermal Forging of Ti-6Al-4V Alloy - Flow Stress Evaluation and Optimization

Authors(3) :-Azhar Equbal, Md. Israr Equbal, R.K Ohdar

Narrow-forging-temperature range makes titanium alloys tough to forge. In this paper hot compression experiments on Ti-6Al-4V alloy specimens are conducted using Thermo mechanical Simulator Gleeble-3500. These objectives of the test were to obtain flow stress data under varying conditions of strain, strain rate and temperature. Furthermore, artificial neural network (ANN) was used for studying high temperature flow characteristics for Ti-6Al-4V alloy in terms of stress–strain curves. A predicting model was also established for the calculation of flow stress using ANN. Results show that the neural network can correctly reproduce the flow stress in the sampled data and can also predict the non-sampled data very well. These studies are significant for determining the hot-forging processing parameters of Ti-6Al-4V alloy.

Authors and Affiliations

Azhar Equbal
Department of Manufacturing Engineering, National Institute of Foundry and Forge Technology, Hatia, Ranchi, Jharkhand, India
Md. Israr Equbal
Department of Forge Technology, National Institute of Foundry and Forge Technology, Hatia, Ranchi, Jharkhand, India
R.K Ohdar
Department of Forge Technology, National Institute of Foundry and Forge Technology, Hatia, Ranchi, Jharkhand, India

Isothermal Forging, Flow Stress, Thermo Mechanical Simulation, ANN.

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Publication Details

Published in : Volume 1 | Issue 5 | September-October 2015
Date of Publication : 2015-10-25
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 235-238
Manuscript Number : IJSRSET151550
Publisher : Technoscience Academy

Print ISSN : 2395-1990, Online ISSN : 2394-4099

Cite This Article :

Azhar Equbal, Md. Israr Equbal, R.K Ohdar, " Isothermal Forging of Ti-6Al-4V Alloy - Flow Stress Evaluation and Optimization , International Journal of Scientific Research in Science, Engineering and Technology(IJSRSET), Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 1, Issue 5, pp.235-238, September-October-2015. Citation Detection and Elimination     |     
Journal URL : https://ijsrset.com/IJSRSET151550

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