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Research at the MEC

Published online by Cambridge University Press:  06 September 2002

D. T. Pham ,
S. S. Dimov  and
P. T. N. Pham
D. T. Pham
Affiliation:
Manufacturing Engineering Centre (MEC), School of Engineering, Cardiff University, Newport Road, P.O. Box 925, Cardiff CF24 0YF (UK)
S. S. Dimov
Affiliation:
Manufacturing Engineering Centre (MEC), School of Engineering, Cardiff University, Newport Road, P.O. Box 925, Cardiff CF24 0YF (UK)
P. T. N. Pham
Affiliation:
Manufacturing Engineering Centre (MEC), School of Engineering, Cardiff University, Newport Road, P.O. Box 925, Cardiff CF24 0YF (UK)
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Summary

This article focuses on research at the MEC, giving three examples of areas of concerted activities at the Centre: intelligent manufacturing, concurrent engineering and rapid manufacturing.

Keywords

Manufacturing technologyAutomationControlArtificial intelligence
Type
Research Article
Information
Robotica , Volume 20 , Issue 5 , September 2002 , pp. 563 - 568
Copyright
Copyright © Cambridge University Press 2002

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References

1. Pham, D. T. and Bayro-Corrochano, E., “Neural classifiers for automated visual inspection”, Proceedings of Institution of Mechanical Engineers 208, Part D, 83–89 (1994).CrossRefGoogle Scholar
2. Pham, D. T. and Bayro-Corrochano, E., “Self-organising neural-network-based pattern clustering method with fuzzy outputs”, Pattern Recognition 27(8), 1103–1110 (1994).CrossRefGoogle Scholar
3. Pham, D. T. and Alcock, R. J., “Automatic detection of defects on birchwood boards”, Proceedings of Institution of Mechanical Engineers 210, Part E, 45–52 (1996).CrossRefGoogle Scholar
4. Pham, D. T. and Alcock, R. J., “Artificial intelligence based techniques for processing segmented images of wood boards”, Proceedings of Institution of Mechanical Engineers 212, Part E, 119–129 (1998).CrossRefGoogle Scholar
5. Pham, D. T. and Alcock, R. J., “Plywood image segmentation using hardware-based image processing functions”, Proceedings of Institution of Mechanical Engineers 213, Part B, 431–434 (1999).CrossRefGoogle Scholar
6. Pham, D. T. and Alcock, R. J., “Synergistic classification systems for wood defect identification”, Proceedings of Institution of Mechanical Engineers 213, Part E, 127–133 (1999).CrossRefGoogle Scholar
7. Pham, D. T. and Alcock, R. J., “Automated visual inspection of wood boards: selection of features for defect classification by a neural network”, Proceedings of Institution of Mechanical Engineers 213, Part E, 231–245 (1999).CrossRefGoogle Scholar
8. Pham, D. T. and Sagiroglu, S., “Neural network classification of defects in veneer boards”, Proceedings of Institution of Mechanical Engineers 214, Part B, 255–258 (2000).CrossRefGoogle Scholar
9. Pham, D. T. and Oztemel, E., Intelligent Quality Systems (Springer-Verlag, London, ISBN 3-540-76045-8, 1996).CrossRefGoogle Scholar
10. Pham, D. T. and Oztemel, E., “XPC- an expert system for statistical process control”, Int. J. Production Research 30(12), 2857–2872 (1992).CrossRefGoogle Scholar
11. Pham, D. T. and Oztemel, E., “Control chart pattern recognition using combinations of multi-layer perceptrons and learning-vector-quantization neural networks”, Proceedings of Institution of Mechanical Engineers 207, Part I, 113–118 (1993).Google Scholar
12. Pham, D. T. and Oztemel, E., “An integrated neural network and expert system tool for statistical process control”, Proceedings of Institution of Mechanical Engineers 209, Part B, 91–97 (1995).CrossRefGoogle Scholar
13. Pham, D. T. and Peat, B. J., “Hybrid method for systems analysis”, Proceedings of Institution of Electrical Engineers, Science Measurement Technology 142(5), 350–361 (1995).CrossRefGoogle Scholar
14. Pham, D. T. and Wani, M. A., “Feature-based control chart pattern recognition”, Int. J. Production Research 35(7), 1875–1890 (1997).CrossRefGoogle Scholar
15. Pham, D. T. and Chan, A. B., “Control chart pattern recognition using a new type of self-organising neural network”, Proceedings of Institution of Mechanical Engineers 212, Part I, 115–127 (1998).Google Scholar
16. Wani, M. A. and Pham, D. T., “Efficient control chart pattern recognition through synergistic and distributed artificial neural networks”, Proceedings of Institution of Mechanical Engineers 213, Part B, 157–169 (1999).CrossRefGoogle Scholar
17. Pham, D. T. and Wu, M. H., “Diagnosis of faults in the fuel injection system of a forging machine using fuzzy sets theory”, Proceedings of Institution of Mechanical Engineers 208, Part I, 123–129 (1994).CrossRefGoogle Scholar
18. Pham, D. T. and Wu, M. H., “Fuzzy control of a closed-die hot forging machine”, Proceedings of Institution of Mechanical Engineers 208, Part I, 239–248 (1994).CrossRefGoogle Scholar
19. Pham, D. T. and Liu, X., “Modelling and prediction using GMDH networks of Adalines with nonlinear preprocessors”, Int. J. Systems Science 25(11), 1743–1759 (1994).CrossRefGoogle Scholar
20. Pham, D. T. and Sagiroglu, S., “Synergistic neural models of a robot sensor for part location”, Proceedings of Institution of Mechanical Engineers 209, Part B, 69–76 (1995).Google Scholar
21. Pham, D. T. and Liu, X., Neural Networks for Identification, Prediction and Control (Springer-Verlag, London, 1995).CrossRefGoogle Scholar
22. Pham, D. T. and Jin, G., “Genetic algorithm using gradient-like reproduction operator”, Electronics Letters 31(18), 1558–1559 (1995).CrossRefGoogle Scholar
23. Channon, P. H., Hopkins, S. H. and Pham, D. T., “A gravity compensation technique for an N-legged robot”, Proceedings of Institution of Mechanical Engineers 210, Part C, 1–14 (1996).Google Scholar
24. Channon, P. H., Hopkins, S. H. and Pham, D. T., “Optimal control of an N-legged robot”, Proceedings of Institution of Mechanical Engineers 210, Part I, 51–63 (1996).Google Scholar
25. Channon, P. H., Hopkins, S. H. and Pham, D. T., “A variational approach to the optimization of gait for a bipedal robot”, Proceedings of Institution of Mechanical Engineers 210, Part C, 177–186 (1996).Google Scholar
26. Pham, D. T. and Liu, X., “Training of Elman networks and dynamic system modelling”, Int. J. Systems Science 27(2), 221–226 (1996).CrossRefGoogle Scholar
27. Pham, D. T. and Karaboga, D., “Genetic algorithms with variable mutation rates: applications to fuzzy logic controller design”, Proceedings of Institution of Mechanical Engineers 211, Part I, 157–167 (1997).Google Scholar
28. Le, T. T., Watton, J. and Pham, D. T., “An artificial neural network approach to fault diagnosis of fluid power systems”, Proceedings of Institution of Mechanical Engineers 211, Part I, 307–317 (1997).Google Scholar
29. Pham, D. T. and Sukkar, M. F., “A predictor based on adaptive resonance theory”, Artificial Intelligence in Engineering 12, 219–228 (1998).CrossRefGoogle Scholar
30. Le, T. T., Watton, J. and Pham, D. T., “Fault classification of fluid power systems using a dynamics feature extraction technique and neural networks”, Proceedings of Institution of Mechanical Engineers 212, Part I, 87–97 (1998).Google Scholar
31. Pham, D. T. and Yildirim, S., “Control of the trajectory of a planar robot using recurrent hybrid networks”, Int. J. Machine Tools and Manufacture 39, 415–429 (1999).CrossRefGoogle Scholar
32. Pham, D. T. and Karaboga, D., “Self-tuning fuzzy controller design using genetic optimisation and neural network modelling”, Artificial Intelligence in Engineering 13, 119–130 (1999).CrossRefGoogle Scholar
33. Pham, D. T. and Karaboga, D., Intelligent Optimisation Techniques (Springer-Verlag, London, 2000).CrossRefGoogle Scholar
34. Pham, D. T. (Editor), Artificial Intelligence in Design, IFS (Bedford UK) and Springer-Verlag (Heidelberg) (1991).Google Scholar
35. Pham, D. T. and Yang, Y., “Optimization of multi-modal discrete functions using genetic algorithms”, Proceedings of Institution of Mechanical Engineers 207, Part D, 53–59 (1993).CrossRefGoogle Scholar
36. Pham, D. T. and Yang, Y., “A genetic algorithm based preliminary design system”, Proceedings of Institution of Mechanical Engineers 207, Part D, 127–133 (1993).CrossRefGoogle Scholar
37. Pham, D. T. and Dimov, S. S., “An algorithm for incremental inductive learning”, Proceedings of Institution of Mechanical Engineers 211, Part B, 239–249 (1997).CrossRefGoogle Scholar
38. Pham, D. T. and Dimov, S. S., “An efficient algorithm for automatic knowledge acquisition”, Pattern Recognition 30(7), 1137–1143 (1997).CrossRefGoogle Scholar
39. Pham, D. T. and Dimov, S. S., “An approach to concurrent engineering”, Proceedings of Institution of Mechanical Engineers 212, Part B, 13–27 (1998).CrossRefGoogle Scholar
40. Pham, D. T., Dimov, S. S. and Setchi, R. M., “Intelligent product manuals”, Proceedings of Institution of Mechanical Engineers 213, Part I, 65–76 (1999).Google Scholar
41. Pham, D. T. and Dimov, S. S., “A system for automatic extraction of feature-based assembly information”, Proceedings of Institution of Mechanical Engineers 213, Part B, 97–101 (1999).CrossRefGoogle Scholar
42. Pham, D. T. and Ji, C., “A concurrent design system for machined parts”, Proceedings of Institution of Mechanical Engineers 213, Part B, 841–846 (1999).CrossRefGoogle Scholar
43. Pham, D. T., Dimov, S. S. and Peat, B. J., “lntelligent Products Manuals”, Proceedings of Institution of Mechanical Engineers 214, Part B, 411–419 (2000).CrossRefGoogle Scholar
44. Pham, D. T. and Setchi, R. M., “Adaptive Product Manuals”, Proceedings of Institution of Mechanical Engineers 214, Part C, 1013–1018 (2000).Google Scholar
45. Pham, D. T., Dimov, S. S. and Lacan, F., “Techniques for firm tooling using rapid prototyping”, Proceedings of Institution of Mechanical Engineers 212, Part B, 269–277 (1998).CrossRefGoogle Scholar
46. Pham, D. T. and Gault, R. S., “A comparison of rapid prototyping technologies”, Int. J. Machine Tools and Manufacture 38, 1257–1287 (1998).CrossRefGoogle Scholar
47. Pham, D. T., Dimov, S. S. and Lacan, F., “Selective Laser Sintering: applications and technological capabilities”, Proceedings of Institution of Mechanical Engineers 213, Part B, 435–449 (1999).CrossRefGoogle Scholar
48. Pham, D. T., Dimov, S. S. and Lacan, F., “The RapidTool process: technical capabilities and applications”, Proceedings of Institution of Mechanical Engineers 214, Part B, 107–116 (2000).CrossRefGoogle Scholar
49. Pham, D. T. and Wang, X., “Prediction and reduction of build times for the selective laser sintering process”, Proceedings of Institution of Mechanical Engineers 214, Part B, 425–430 (2000).CrossRefGoogle Scholar
50. Pham, D. T. and Ji, C., “Design for stereolithography”, Proceedings of Institution of Mechanical Engineers 214, Part C, 635–640 (2000).Google Scholar
51. Pham, D. T. and Dimov, S. S., Rapid Manufacturing: the technologies and applications of rapid prototyping and tooling (Springer-Verlag, London and Heidelberg, 2001).CrossRefGoogle Scholar