Study on the Saturation Properties of Silicone Oil-Based
Magnetorheological Fluids in Mechanical Engineering

Wang, Dongdong; Liu, Xinhua; Wang, Lifeng; Ren, Yi; Zhang, Qiuxiang

doi:10.2174/1874155x01509010682

Cited by 1 publication

(1 citation statement)

References 16 publications

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“…Among other factors, the presence of the additives is the cause of leakage current occurrences in ER fluids in the presence of an electric field. Currently, several dozen different materials and chemical compounds are used to produce heterogenous ER fluids [45,46].…”

Section: Mathematical Model Of An Er Fluidmentioning

confidence: 99%

Design optimization of a viscous clutch with an electrorheological fluid

Żurowski¹,

Osowski²,

Mędrek³

et al. 2022

Smart Mater. Struct.

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The article describes design optimization of a viscous disc clutch with an electrorheological (ER) fluid. The design optimization is conducted based on mathematical models of ER fluid and clutch geometry. As important issues for the optimal design, the assumed values are: the torque transferred by the clutch, the dimensions of the clutch and the steady-state operating temperature of the clutch. The assumed design variables are: the angular velocity of the input shaft, the number of working gaps of the clutch and the selected dimensions of the clutch. The aim of the design optimization is to search for design variables such as the angular velocity of the input shaft, the number of working gaps of the clutch and the selected dimensions of the clutch, for which the clutch transfers the highest possible torque, while the dimensions of the clutch are small and the steady-state operating temperature is low. The design optimization is conducted searching at least two different objective functions created taking into account the volume, the transferred torque and the steady-state operating temperature of the clutch. Two numerical methods are used: the Monte Carlo method and the Genetic Algorithm method. The optimization calculations are performed for two sets of design variables, consisting of 3 and 8 elements, and a final prototype designed via the optimization is depicted with the pricipal design parameters.

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Section: Mathematical Model Of An Er Fluidmentioning

confidence: 99%