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

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,...

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Main Authors:	Hassan, Muhammad Hasibul, Al Hazza, Muataz Hazza Faizi
Format:	Article
Language:	English
Published:	Praise Worthy Prize 2014
Subjects:	T Technology (General)
Online Access:	http://irep.iium.edu.my/36869/ http://irep.iium.edu.my/36869/ http://irep.iium.edu.my/36869/1/006-Al_Hazza_def_15014_.pdf

id	iium-36869
recordtype	eprints
spelling	iium-368692018-06-20T04:31:01Z http://irep.iium.edu.my/36869/ Tensile parameters evaluation of two solid solution super alloys by ANN modeling Hassan, Muhammad Hasibul Al Hazza, Muataz Hazza Faizi T Technology (General) 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. Praise Worthy Prize 2014-03 Article PeerReviewed application/pdf en http://irep.iium.edu.my/36869/1/006-Al_Hazza_def_15014_.pdf 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 http://www.praiseworthyprize.org/jsm/index.php?journal=ireme&page=article&op=view&path[]=15014
repository_type	Digital Repository
institution_category	Local University
institution	International Islamic University Malaysia
building	IIUM Repository
collection	Online Access
language	English
topic	T Technology (General)
spellingShingle	T Technology (General) Hassan, Muhammad Hasibul Al Hazza, Muataz Hazza Faizi Tensile parameters evaluation of two solid solution super alloys by ANN modeling
description	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.
format	Article
author	Hassan, Muhammad Hasibul Al Hazza, Muataz Hazza Faizi
author_facet	Hassan, Muhammad Hasibul Al Hazza, Muataz Hazza Faizi
author_sort	Hassan, Muhammad Hasibul
title	Tensile parameters evaluation of two solid solution super alloys by ANN modeling
title_short	Tensile parameters evaluation of two solid solution super alloys by ANN modeling
title_full	Tensile parameters evaluation of two solid solution super alloys by ANN modeling
title_fullStr	Tensile parameters evaluation of two solid solution super alloys by ANN modeling
title_full_unstemmed	Tensile parameters evaluation of two solid solution super alloys by ANN modeling
title_sort	tensile parameters evaluation of two solid solution super alloys by ann modeling
publisher	Praise Worthy Prize
publishDate	2014
url	http://irep.iium.edu.my/36869/ http://irep.iium.edu.my/36869/ http://irep.iium.edu.my/36869/1/006-Al_Hazza_def_15014_.pdf
first_indexed	2023-09-18T20:52:52Z
last_indexed	2023-09-18T20:52:52Z
_version_	1777410111292047360

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

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