TURKISH JOURNAL OF ELECTRICAL ENGINEERING & COMPUTER SCIENCES · 2019 · 12 citations · 0 references
EngineeringAerospace EngineeringElectrical EngineeringDesign OptimizationFinite Element AnalysisOptimizationBrake DesignBrake Performance TestingElectric Brake SystemsMulti-objective Design OptimizationOptimization-based DesignStructural OptimizationAxial Flux MachinesAxial Flux Permanent Magnet MachinesBrake DampingBrake Performance AnalysisGenetic Algorithm OptimizationMultiobjective Genetic AlgorithmsSpeed-torque CharacteristicsTorque-speed Characteristics
The main aim of this study is to optimize an axial flux eddy current damper to be used in a specific aviation application. Eddy current dampers are more advantageous compared to conventional mechanical dampers as they are maintenance-free due to contactless structure and have higher reliability, which is very desirable in aerospace applications. An initial eddy current brake prototype is manufactured and the test results are used to verify the 3-D finite element simulations. The effect of temperature on the brake performance is investigated. Finally, a multiobjective genetic algorithm optimization is applied to find the optimum pole number and geometric dimensions of the eddy current brake in order to achieve the desired torque-speed characteristic while the total weight of the brake is minimized. It is found that the mass and volume of the initial prototype can be halved by implementing this optimization algorithm.