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Artificial neural network modeling on the relative importance of alloying elements and heat treatment temperature to the stability of α and β phase in titanium alloys
A Self-Consistent Approach for Modeling the Flow Behavior of the Alpha and Beta Phases in Ti-6Al-4V
Jeoung Han Kim, S. L. Semiatin, You Hwan Lee and Chong Soo Lee Metallurgical and Materials Transactions A 42(7) 1805 (2011) https://doi.org/10.1007/s11661-010-0567-x
Microstructure prediction of two-phase titanium alloy during hot forging using artificial neural networks and FE simulation
Artificial neural network modeling of phase volume fraction of Ti alloy under isothermal and non-isothermal hot forging conditions
J. H. Kim, N. S. Reddy, J. T. Yeom, C. S. Lee and N. K. Park Journal of Mechanical Science and Technology 21(10) 1560 (2007) https://doi.org/10.1007/BF03177375
Linear friction welding of Ti-6Al-4V: Processing, microstructure, and mechanical-property inter-relationships