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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vol. 367Artificial Neural Network Model: Prediction of...

Artificial Neural Network Model: Prediction of Mechanical Properties in Beta-Titanium Biomaterial

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Abstract:

Theoretical prediction of mechanical properties using Artificial Neural Network (ANN) of a new beta-titanium alloy was investigated and compared with the experimental results obtained as a function of heat treatment. The cold worked biomaterial was subjected to different thermal processing cycles. The experimental values of mechanical properties were determined using MTS Landmark-servo hydraulic UTS machine. The new beta-titanium alloy demonstrated an excellent combination of strength and ductility for β-annealing and solution treatment plus aging thermal processing treatments. This data was used to train an artificial neural network (ANN) model to predict hardness. The predicted hardness values were found to demonstrate very good agreement with the experimental values.

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Mechanics, Simulation and Control III

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Periodical:

Applied Mechanics and Materials (Volume 367)

Pages:

40-44

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.367.40

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Online since:

August 2013

Authors:

K.V. Sudhakar, M.E. Haque

Keywords:

Artificial Neural Network (ANN), Biomaterial, Hardness, Thermal Processing

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© 2013 Trans Tech Publications Ltd. All Rights Reserved

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