Mehran University Research Journal Of Engineering &
Technology (HEC Recognized In Category "X")
Publishing Since 1982.

For Authors
For Readers
Article Information  
Modeling Mechanical Properties of Aluminum Composite Produced Using Stir Casting Method

Keywords: Neural Network Modeling, Mechanical Properties, Aluminum Cast Composite

Mehran University Research Journal of Engineering & Technology

Volume 30 ,  Issue 1

Muhammad  Hayat  Jokhio , Muhammad  Ibrahim  Panhwar , Mukhtiar  Ali  Unar ,

1. Badeshah, H.K.D.H.,"Neural Network in Materials Science", ISI Journal International Volume 39 No. 10, pp. 969-979, 1999.
2. Shah, I., "Modeling Mechanical Properties of Austenitic Stainless Steel", Master Theses, Cambridge University, UK, 2002.
3. Genel, K., Kurnaz, S.C.,and Drman, M., "Modeling Tribological Properties of Alumina Fiber Reinforced Zn- Aluminum Composites Using Artificial Neural Network", Journal of Materials Science & Engineering, Volume A 363, pp. 203-210, July, 2003.
4. Sha, M.A., Edwards, K.L., "Use of Artificial Neural Network in Materials Science Based Research", Journal of Materials Science and Design, Volume 28, pp. 1747-1752, 2007.
5. Yescas, M.A., Bhdeshia, H.K.D.H., and Mackey, D.J., "Estimation of the Amount of Retained Austenite in Austempered Ductile Irons Using Neural Networks", Materials Science and Engineering, Volume A 311, pp. 1262-173, 2001.
6. Martin, W., "Application of a Backproagation Algorithm for Feature Classification of Steel Alloys", Automatic Microstructure Characterizations Using Machine Learning, May, 2003.
7. Maly, M., Harck, R., and Novotny, D., "Neural Network Approach in Image Analysis of Complex System", Vacuum, Volume 61, pp. 233-227, 2006.
8. Sudhakar, K.V., and Mohammed, E.H., "Mechanical Behavior of Powder Metallurgy Steel Experimental Investigation and Artificial Neural Network Based Prediction Model JMEPEG", Volume 10, No. 1, pp. 131-160 February, 2001.
9. Ohdar, R.K., and Pasha, S., "Predication of Process Parameters of Metal Powder Preformed Forging, Using Artificial Neural Network (ANW)", Journal of Materials Processing Technology, Volume 132, pp. 227-234, 2003.
10. Jokhio, M.H., Panhwar, M.I., and Unar, M.A., "Neural Networks Application in Powder Metallurgical Process", Proceedings of an International Conference on Frontier of Advanced Materials, Lahore, Pakistan, 2004.
11. Kowalski, M., Dobranski, L.A., and Maejski, J., "Methodology of Mechanical Properties Predication for the Metallurgical Products from Engineering Steels Using Artificial Intelligence Methods", Journal of Materials Processing Technology, Volume 164-165, pp. 1500-1509 2005.
12. Dobrzanski, L.A., and Sitech, W., "Application of Neural Networks in Steels Chemical Composition Design", Jounral of Brazilian Society Mechanical Scoity, Volume 25, No. 2, pp. 1-7 2003.
13. Jokhio, M.H., Panhwar, M.I., and Unar, M.A., "Modeling Mechanical Properties of Cast Aluminum Alloys", Mehran University Research Journal of Engineering and Technology, Volume 28, No. 3, pp. 367-376, Jamshoro, Pakistan, July, 2009.
14. Jokhio, M.H., "Modeling of High Strength and Wear Resistance Aluminum Alloy Based Casting Composite Materials", Ph.D. Thesis, Department of Mechanical Engineering, Mehran University of Engineering and Technology, Jamshoro, Sindh, Pakistan, March, 2010.
15. Unar, M.A., "Neural Network Modeling of Ships", Ph.D. Thesis, University of Glassgow, UK, 1999.
16. Talpur, M.I.H., "Intelligent Control Using Neural Network", M.E. Thesis, Mehran University of Engineering & Technology, Jamshoro, Pakistan, 2003.
17. Haykin, S., "Neural Networks a Comprehensive Foundation", 2nd Edition, Prentice Hall, New Jercy, 1999.
18. Li, H.J., Qi, L.H., Han, H.M., and Guo, L.J., "Neural Networks Modeling and Optimization of Semisolid Extrusion for Aluminum Matrix Composites", Journal of Materials Processing Technology, Volume 151, pp. 126-132 2004.
19. Hassan, A.M., Abdulla, A.M.T., and Hayajneh, A.T.N., "Prediction of Density Porosity and Hardness of an Aluminum-Copper-Based Composites Material Using Artificial Neural Networks", Journal of Materials & Processing Technology, Volume 209, pp. 894-899 2009.
20. Xing, X.L, Jaindong, W.G., Peng, T.Z., and Xongzhen, L.R., "Artificial Neural Network Prediction of Heat Treatment Hardness and Abrasive Wear Resistance of High-Vanadium High Speed Steel (HVHSS)", Journal of Materials Science, Volume 42, pp. 2565-2573, 2007.
21. Ozerdem, M.S., and Kolukisa, S., "For Predicting Mechanical Properties of Non Resulfurized Steels", Journal of Materials Science and Technology, 2007.
22. Altinkok, N., and Rasit, K., "Use of Artificial Neural Network for Prediction of Physical Properties and Tensile Strength in Particles Reinforced Aluminum Matrix Composites", Journal of Materials Science, Volume 49, pp. 1767-1770, 2005.
23. Altinkok, N., and Rasit, K., "Modeling of the Prediction of Tensile and Density Properties in Particles Reinforced Metal Matrix Composites by Using Neural Networks", Journal of Material & Design, Volume 27, pp. 625-631, 2006.