volume | PIER Journals

Abstract

Electromagnetic design problems usually involve a large number of varying parameters. A designer can use different kinds of models in order to achieve optimum design. Some models, e.g., finite-element model, can be very precise: however, it requires large computational costs (i.e., CPU time). Therefore, the designer should use a screening process to reduce the number of parameters in order to reduce the required computational time. In this paper, using the Design of Experiments (DOE) approach to reduce the number of parameters is explored. The benefits of this technique are tremendous. For example, once researchers realize how much insight and information can be obtained in a relatively short amount of time from a well-designed experiment, DOE would become a regular part of the way they approach their simulation projects. The main objective of this paper is to apply the DOE technique to electromagnetic simulations of different systems and to explore its effectiveness on a new field, namely the magnetic refrigeration systems. The methodology of the DOE is presented to assess the effects of the different variables and their interaction involved in electromagnetic simulations design and optimization processes.

1. Mohammed, O. A., D. A. Lowther, M. H. Lean, and B. Alhalabi, "On the creation of a generalized design optimization environment for electromagnetic devices," IEEE Transactions on Magnetics, Vol. 37, No. 5, 3562-3565, 2001.
doi:10.1109/20.952662 Google Scholar

2. Gang, L., G. Y. Yang, K. R. Shao, Y. Guo, J. Zhu, and J. D. Lavers, "Electromagnetic device design based on RBF models and two new sequential optimization strategies," IEEE Transactions on Magnetics, Vol. 46, No. 8, 3181-3184, Aug. 2010.
doi:10.1109/TMAG.2010.2043717 Google Scholar

3. Carcangiu, S., A. Fanni, A. Mereu, and A. Montisci, "Grid-enabled tabu search for electromagnetic optimization problems," IEEE Transactions on Magnetics, Vol. 46, No. 8, 3265-3268, 2010.
doi:10.1109/TMAG.2010.2045487 Google Scholar

4. Nikolova, N. K., Solving design and inverse-imaging problems through electromagnetic simulation , 17th International Conference on Microwaves, Radar and Wireless Communications MIKON, No. 1--8, 19-21, 2008. Google Scholar

5. Sanchez, S. M., "Work smarter, not harder: Guidelines for designing simulation experiments," Proceedings of the Winter Simulation Conference, 4-7, 2005. Google Scholar

6. Altayib, K. and A. Ali, "Improvement for alignment process of automotive assembly plant using simulation and design of experiments ," International Journal of Experimental Design and Process Optimisation , Vol. 2, No. 2, 145-160, 2011.
doi:10.1504/IJEDPO.2011.040264 Google Scholar

7. Garcia, S., A. Fernandez, J. Luengo, and F. Herrera, "Advanced nonparametric tests for multiple comparisons in the design of experiments in computational intelligence and data mining: Experimental analysis of power," Information Sciences, Vol. 180, No. 10, 2044-2064, 2010.
doi:10.1016/j.ins.2009.12.010 Google Scholar

8. Kutlea, L., N. Pavlovica, M. Dorotica, I. Zadroa, M. Kapustica, and B. Halassy, "Robustness testing of live attenuated rubella vaccine potency assay using fractional factorial design of experiments ," Vaccine, Vol. 28, No. 33, 5497-5502, 2010.
doi:10.1016/j.vaccine.2010.04.111 Google Scholar

9. Kleijnen, J. P. C., S. M. Sanchez, T. W. Lucas, and T. M. Cioppa, "State-of-the-art review: A user's guide to the brave new world of designing simulation experiments," Journal on Computing, Vol. 17, No. 3, 263-289, 2005. Google Scholar

10. Uy, M. and J. K. Telford, "Optimization by design of experiment techniques," IEEE Aerospace Conference, No. 1--10, 7-14, 2009. Google Scholar

11. Pillet, M., "Les plans d'experiences par la methode taguchi," Les Editions d'Organisation, 1997. Google Scholar

12. Costa, M. C., Optimisation de dispositifs electromagnetiques dans un contexte d'analyse par la methode des elements finis, Ph.D. Thesis National Polytechnic Institute of Grenoble, 2001.

13. Demonsant, J., "Comprendre et mener des plans d'experiences," Afnor, ISBN 2-124-75032-1, 1996. Google Scholar

14. Hong, S. C., S. J. Kim, E. J. Hahn, S. Park, and C. S. Kim, , "Magnetic refrigeration properties of La0:8 Ca0:2 Mn0:9957Fe57 ," IEEE Transactions on Magnetics, Vol. 45, No. 6, 2565-2568, Jun. 2009.
doi:10.1109/TMAG.2009.2018888 Google Scholar

15. Bruck, E., O. Tegus, X. W. Li, et al. "Magnetic refrigeration-towards room-temperature applications," Physica B: Condensed Matter, Vol. 327, No. 2--4, 431-437, Apr. 2003.
doi:10.1016/S0921-4526(02)01769-6 Google Scholar

16. Dong, A. and X. Lu, "A new permanent magnet system for rotating magnetic refrigerator," IEEE Transactions on Applied Superconductivity, Vol. 20, No. 3, 834-837, Jun. 2010.
doi:10.1109/TASC.2010.2040257 Google Scholar

Dr. Houssem Rafik El Hana Bouchekara

Dr. Ghassan Dahman

Dr. Mouaaz Nahas