2021
DOI: 10.3233/jae-190111
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Optimization for a proportional electro-magnet with high accuracy utilizing finite element method

Abstract: Obtaining the constant force at a given current benefits its applications in diverse fields. However, not depending on displacements, such a force characteristic is not available easily since this force is determined by a specific structure, materials, geometrical parameters and others. Therefore, utilizing the finite element method (FEM), the electro-magnet force of a proportional electro-magnet located at a semi-active damper is calculated considering different parameters, further obtaining better choices of… Show more

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Cited by 3 publications
(1 citation statement)
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“…They found that the material of the solenoid core and dynamic performance are not highly correlated. Yuan et al [ 15 ] studied the pole shoe structure of a flat-type proportional solenoid actuator and analyzed the influence of six magnetic materials and geometric parameters on the constant force characteristics in detail. Yun et al [ 16 , 17 ] analyzed the characteristics of the force of attraction of the electromagnetic proportional solenoid actuator in pressure control valves by varying the dither-like duty cycle signal of pulse-width modulation (PWM) and optimized the structural parameters of the control cone using an optimization algorithm.…”
Section: Introductionmentioning
confidence: 99%
“…They found that the material of the solenoid core and dynamic performance are not highly correlated. Yuan et al [ 15 ] studied the pole shoe structure of a flat-type proportional solenoid actuator and analyzed the influence of six magnetic materials and geometric parameters on the constant force characteristics in detail. Yun et al [ 16 , 17 ] analyzed the characteristics of the force of attraction of the electromagnetic proportional solenoid actuator in pressure control valves by varying the dither-like duty cycle signal of pulse-width modulation (PWM) and optimized the structural parameters of the control cone using an optimization algorithm.…”
Section: Introductionmentioning
confidence: 99%