My Achievements & Publication

University Academic Achievement

Competition Achievements

Malaysia National Computer Software Writing Competition

Publications (Updated: 24 June 1999)

  1. S.V. Wong: Development of Fuzzy Expert System for Machinability Data Selection, B.Eng. Thesis, University Putra Malaysia, (1997).
  2. S.V. Wong, A.M.S. Hamouda, and M.A. El Baradie: Development of Fuzzy Expert System for Machinability Data Selection. 2nd International Conference on the Application of Numerical Methods in Engineering, June 1997, UPM, Malaysia, pp. 551-562 (1997).
  3. A.M.S. Hamouda and S.V. Wong.: An intelligent Software for Machinability Data Selection, Malaysian Science and Technology Congress'97, Malaysia (1997).
  4. S.V. Wong, A.M.S. Hamouda, and M.A. El-Baradie.: Development Of Fuzzy Expert System For Metal Cutting Data Selection, International Journal of Flexible Automation and Integrated Manufacturing, Vol. 5, pp. 79-104 (1997).
  5. S.V. Wong and A.M.S. Hamouda.: A Fuzzy Logic based Expert System for MachinabilityData-On Demand on the InterNet, in Advances in Materials & Processing Technologies, (Editors A.M.S. Hamouda, S. Suliman and M. Ahmadun) SIRIM Press, Vol. 2, pp 1048-1058 (1998)
  6. S.V. Wong, A.M.S. Hamouda, and M.A. El Baradie.: Generlized Fuzzy Model for Metal Cutting Data Selection, , Journal of Materials Processing Technologies, Vol. 89-90, pp 310-317 (1999).
  7. S.V. Wong and A.M.S. Hamouda.: An Intelligent Multi-media Handbook for Metal Cutting Selection, Journal of Computers in Industrial Engineering, (submitted).
  8. S.V. Wong and A.M.S. Hamouda, Fuzzy rules optimization in fuzzy expert system for machinability data selection: genetic algorithms approach, World Engineering Congress '99, 19-21 July, 1999, K.L., Malaysia, 331-336 (1999).
  9. S.V. Wong and A.M.S. Hamouda, Development of genetic algorithm based fuzzy rules desgin for metal cutting data selection, International Journal of Application of AI in Engineering (submitted).
  10. S.V. Wong and A.M.S. Hamouda, Optimization of fuzzy rules design using genetic algorithm, Journal of Advances in Engineering Software, 31(4), 251-262 (2000).
  11. A.M.S. Hamouda and S.V. Wong, An Intelligent Machinability Data Handbook, IEEE, Intelligent Systems, (submitted).

Current Research Project

Study Of Human Body Motion And Vehicle In Frontal Collision

Project Supervisor: Prof. M.S.J. Hashmi (DCU)

Co-Supervisor: Dr. A.M.S. Hamouda (UPM)

This project is funded by the Ministry of Transport, Malaysia and University Putra Malaysia with DCU co-operation. Road accident is a serious problem in Malaysia which kills thousands in a year. Attention has been given to motorcyclists as the number of motorcycle on the road is huge in Malaysia. Theoretical, experimental and numerical analysis for human body motion corresponding to frontal collision of a motorcycle will be carried out. Besides that, study on the vehicle structure and components for their capability of energy absorption will be carried out. An experimental rig will be designed for collision analysis. All theoretical analysis, numerical analysis and the design of the experiment rig will be carried out in DCU. The experiment rig will be set-up at University Putra Malaysia. All the experiments will be conducted and data collected at University Putra Malaysia. Current occupant simulations by mathematical models are based primarily on lumped parameter models. The limited number of degrees of freedom of these models lack the flexibility to simulate realistic deformations. This may not be able to accurately capture contact and interactions between the rider and vehicle subjected to impact. LS-Dyna3d will be used for finite element analysis of both human motion and vehicle impact. Finite Difference Method will be used also by way of comparison.

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