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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| Format: | Article |
| Language: | English |
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Praise Worthy Prize
2014
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| Online Access: | http://irep.iium.edu.my/36869/ http://irep.iium.edu.my/36869/1/006-Al_Hazza_def_15014_.pdf |
| _version_ | 1848781311220645888 |
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| author | Hassan, Muhammad Hasibul Al Hazza, Muataz Hazza Faizi |
| author_facet | Hassan, Muhammad Hasibul Al Hazza, Muataz Hazza Faizi |
| author_sort | Hassan, Muhammad Hasibul |
| building | IIUM Repository |
| collection | Online Access |
| 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. |
| first_indexed | 2025-11-14T15:47:33Z |
| format | Article |
| id | iium-36869 |
| institution | International Islamic University Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-14T15:47:33Z |
| publishDate | 2014 |
| publisher | Praise Worthy Prize |
| recordtype | eprints |
| repository_type | Digital Repository |
| 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 |
| spellingShingle | T Technology (General) Hassan, Muhammad Hasibul Al Hazza, Muataz Hazza Faizi Tensile parameters evaluation of two solid solution super alloys by ANN modeling |
| title | 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_short | 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 |
| topic | T Technology (General) |
| 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 |