Optimization of Shielding Devices for Eddy-Currents Using Multiobjective Optimization Methods

• Published in: IEEE transactions on magnetics Vol. 45; no. 3; pp. 1550 - 1553
• Main Authors: Smajic, J., Cranganu-Cretu, B., Kostinger, A., Jaindl, M., Renhart, W., Magele, C.
• Format: Journal Article Conference Proceeding
• Language: English
• Published: New York, NY IEEE 01.03.2009; Institute of Electrical and Electronics Engineers; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Algorithms; Bars; Bypasses; Conducting materials; Cross-disciplinary physics: materials science; rheology; Design optimization; Devices; Eddy current testing; Eddy currents; electromagnetic shielding; Exact sciences and technology; Finite element methods; Genetic algorithms; Magnetic analysis; Magnetic flux; Magnetic materials; Magnetic shielding; Magnetism; Materials science; Operations research; Optimization; Optimization methods; Other topics in materials science; Physics; Shielding; Shunts; stochastic methods; Studies; Topology; stochastic methods; Shielding; Electromagnetic shielding; optimization; Eddy currents; Magnetic properties
• ISSN: 0018-9464; 1941-0069
• DOI: 10.1109/TMAG.2009.2012739

Multiobjective optimization of shielding devices for eddy-currents is studied using several fundamentally different optimization methods. To solve the binary optimization problem of finding an optimal topology of the magnetic shunts a micro-genetic algorithm is used. In order to perform a parameter optimization of a given topology in terms of its placement, evolutionary strategies are applied. Finally, the multiobjective mixed binary-real optimization problem, with respect to both the topology and position of the magnetic shunts, is defined and solved using the micro-genetic algorithm. The conflicting objectives of minimizing Ohmic losses in the shielded body along with minimizing the volume of the shunts' magnetic material are taken into account in two different approaches. On the one hand all objectives are transformed into a single scalar value using the method of weighted functions; on the other hand Pareto optimal solutions are evaluated and assessed. To ensure the reliability of the obtained solutions, the evaluation of the objective functions is based on the 2-D finite-element method eddy-current analysis using both self developed and commercial field solvers.