A design method of solenoid actuator using empirical design coefficients and optimization technique

Sung, Baek-Ju; Lee, Eun-Woong; Lee, Jae-Gyu

doi:10.1109/iemdc.2007.382679

Cited by 7 publications

(4 citation statements)

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“…Some other studies in the literature only theoretically investigate the magnetic force characteristics of the solenoid actuators. [25][26][27] However, manufacturing the optimized design of these components is necessary to evaluate the effectiveness of the optimization algorithms.…”

Section: Introductionmentioning

confidence: 99%

Design optimization of a solenoid actuator using particle swarm optimization algorithm with multiple objectives

Abedinifar

Ertuğrul

Tayyar

2022

Advances in Mechanical Engineering

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Solenoid actuators are well-known components that convert electromagnetic energy into mechanical energy. For control purposes, it is requested to have a high magnetic force that stays almost constant in the working region of the actuator. To meet these requirements, it is necessary to have an optimal geometrical design of the actuator. In this study, the following steps are performed to optimize the geometry of the solenoid actuator. The Finite Element Analysis (FEA) is performed, and the results of the simulation is verified with the experimental data. The effect of all geometrical parameters on the characteristics of the magnetic force is investigated. The parameters that highly affect the magnetic force are chosen as design optimization parameters. Then, the Particle Swarm Optimization (PSO) algorithm is realized to find optimal parameters. The algorithm consists of two objective functions being combined into a single objective function. It includes a higher and more consistent magnetic force in the effective working region of the solenoid. Finally, the solenoid actuator with optimized parameters is manufactured, and the results are compared. They show that the optimized solenoid actuator satisfies one of the objective functions, and magnetic force stays almost constant in the working region of the solenoid actuator.

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Section: Introductionmentioning

confidence: 99%

Design optimization of a solenoid actuator using particle swarm optimization algorithm with multiple objectives

Abedinifar

Ertuğrul

Tayyar

2022

Advances in Mechanical Engineering

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“…Furthermore, Chen et al studied the static and dynamic performance of moving magnet linear compressors to identify the optimal points of the linear compressor [23]. The analytical model of the electromagnetic force for the solenoid type linear actuators, i.e., moving iron or reluctance type, allowed to initiate simulations including the nonlinearity of both the electromagnetic force and gas force [24,25]. Previous concepts have been expanded for high-frequency applications, where more complex electromagnetic actuation concepts were investigated, consisting of specific permanent magnet configurations such as Halbach-arrays [26].…”

Section: Introductionmentioning

confidence: 99%

Multi-Fidelity Design Optimisation of a Solenoid-Driven Linear Compressor

et al. 2020

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Improved management and impermeability of refrigerants is a leading solution to reverse global warming. Therefore, crank-driven reciprocating refrigerator compressors are gradually replaced by more efficient, oil-free and hermetic linear compressors. However, the design and operation of an electromagnetic actuator, fitted on the compression requirements of a reciprocating linear compressor, received limited attention. Current research mainly focuses on the optimisation of short stroke linear compressors, while long stroke compressors benefit from higher isentropic and volumetric efficiencies. Moreover, designing such a system focuses mainly on the trade-off between number of copper windings and the current required, due to the large computational cost of performing a full geometric design optimisation based on a Finite Element Method. Therefore, in this paper, a computationally-efficient, multi-objective design optimisation for six geometric design parameters has been applied on a solenoid driven linear compressor with a stroke of 44.2 mm. The proposed multi-fidelity optimisation approach takes advantage of established models for actuator optimisation in mechatronic applications, combined with analytical equations established for a solenoid actuator to increase the overall computational efficiency. This paper consists of the multi-fidelity optimisation algorithm, the analytic model and Finite Element Method of a solenoid and the optimised designs obtained for optimised power and copper volume, which dominates the actuator cost. The optimisation results illustrate a trade-off between minimising the peak power and minimising the volume of copper windings. Considering this trade-off, an intermediate design is highlighted, which requires 33.3% less power, at the expense of an increased copper volume by 5.3% as opposed to the design achieving the minimum copper volume. Despite that the effect of the number of windings on the input current remains a dominant design characteristic, adapting the geometric parameters reduces the actuator power requirements significantly as well. Finally, the multi-fidelity optimisation algorithm achieves a 74% reduction in computational cost as opposed to an entire Finite Element Method optimisation. Future work focuses on a similar optimisation approach for a permanent magnet linear actuator.

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“…FEM based approach for predicting the dynamic analysis in, [4] long stroke linear actuator. The magnetic actuators in [5] for the application of aerospace, automotive, industrial applications of electromechanical actuator, brushless permanent magnet linear motors, fast acting solenoid actuators.…”

Section: Introductionmentioning

confidence: 99%