Tensile parameters evaluation of two solid solution super alloys by ANN modeling

Hassan, Muhammad Hasibul and Al Hazza, Muataz Hazza Faizi (2014) Tensile parameters evaluation of two solid solution super alloys by ANN modeling. International Review of Mechanical Engineering, 8 (2). pp. 338-343. ISSN 1970-8734

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Abstract

Solid solution nickel base super alloys 617 and 276 possess excellent mechanical properties, oxidation, creep-resistance, and phase stability at high temperatures. These alloys are used in complex and stochastic applications including the structural material of high temperature heat exchanger. Thus, it is difficult to predict their output characteristics mathematically. Therefore, the non-conventional methods for modeling become more effective. These two alloys have been subjected to tensile deformation at high temperatures and different tensile parameters have been used to develop the new models. Artificial neural network (ANN) was applied to predict yield strength (YS), Ultimate Tensile strength (UTS), percent elongation (%El) and percent reduction in area (%RA) for the two alloys. The neural network comprises twenty hidden layer with feed forward back propagation hierarchical. The neural network has been designed with MATLAB Neural Network Toolbox. The results show a high correlation between the predicted and the observed results which indicates the validity of the models.

Item Type:	Article (Journal)
Additional Information:	6982/36869
Uncontrolled Keywords:	Super Alloys; Tensile Parameters; Artificial Neural Network
Subjects:	T Technology > T Technology (General)
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button):	Kulliyyah of Engineering > Department of Manufacturing and Materials Engineering
Depositing User:	Dr Muataz Hazza Alhazza
Date Deposited:	09 Jun 2014 15:14
Last Modified:	20 Jun 2018 12:31
URI:	http://irep.iium.edu.my/id/eprint/36869

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