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


Azhar Equbal, Md. Israr Equbal, R.K Ohdar
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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.

Azhar Equbal, Md. Israr Equbal, R.K Ohdar

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

  1. Altan, Boulger, T., 1973. F.W.a.o.: Forging Equipment, Materials and Practices. MCIC-HB 03,Nat.Inf.Service.
  2. Hashmi, K., Graham,I.D., Mills, B. (2003). Data selection for turning carbon steel using fuzzy logic. Journal of materials processing technology,135, 44–58.
  3. Arghavani, M., Derenne, M., Marchand, L. (2001). fuzzy logic application in gasket selection and sealing performance. International journal of advance manufacturing technology, 18, pp. 67–78.
  4. Guo, Z., and Sha W. 2004. Modelling the correlation between processing parameters and properties of maraging steels using artificial neural network. Comput Mater Sci; 29:12-
  5. Miaoquan, L., Dunjun, C., Aiming, X. and Li L. 2002. An adaptive prediction model of grain size for the forging ofTi–6Al–4V alloy based on fuzzy neural networks. Journal of Material processing technology. 123. pp. 377-381.
  6. Tang, Y.S. and Wang. 1993. International Journal of Machine Tools.33, 6, pp.761
  7. Kuo, H.C., Wu, L.J. and Chen J.H. 2002. Journal of Material processing technology 122, pp.12-22.
  8. Reddy, D.C and Reddy C.S, 1996. AFStrans., 104, pp.1003-1009.

Publication Details

Published in : Volume 1 | Issue 5 | September-October - 2015
Date of Publication Print ISSN Online ISSN
2015-10-25 2395-1990 2394-4099
Page(s) Manuscript Number   Publisher
235-238 IJSRSET151550   Technoscience Academy

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.
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