Multi-objective optimization of magnetic actuator design using adaptive weight determination scheme

Citations

SCOPUS

2

초록

This paper presents a multi-objective topology optimization method for a magnetic actuator design considering both magnetic force and actuator volume. We use a gradient-based optimization algorithm to obtain non-dominated optimal design solutions, and an adaptive weight determination scheme to ensure that the solutions are evenly distributed. The optimization problem is formulated to maximize the magnetic force and minimize the volume of the actuator. The level set function is employed as a topological design variable to obtain optimal designs that have clear structural boundaries.

키워드

Magnetic actuatorMulti-objective topology optimizationNon-dominated solutionActuatorsElectromagnetic fieldsMagnetismMultiobjective optimizationOptimal systemsOptimizationTopologyGradient based optimization algorithmsLevel set functionsMulti objectiveNondominated solutionsOptimization problemsStructural boundaryTopological designTopology Optimization MethodMagnetic actuators
제목
Multi-objective optimization of magnetic actuator design using adaptive weight determination scheme
저자
Ryu, NamheeLim, SunghoonMin, Seung jaeIzui, KazuhiroNishiwaki, Shinji
DOI
10.1109/CEFC.2016.7815971
발행일
2017-01
유형
Conference Paper
저널명
2016 IEEE Conference on Electromagnetic Field Computation (CEFC)
페이지
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