Mathematical Modeling, Analysis, and Design of Magnetorheological (MR) Dampers

Chooi, Weng W.; Oyadiji, S. Olutunde

doi:10.1115/1.3142884

Cited by 30 publications

(55 citation statements)

References 21 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The relation between the applied shear stress, , and the fluid shear rate, , is described based on one of the viscoplastic models. The most well-known viscoplastic models are the Bingham plastic model, Herschel-Bulkley model, and Casson model [14].…”

Section: Introductionmentioning

confidence: 99%

Magnetic Circuit Analysis and Fluid Flow Modeling of an MR Damper With Enhanced Magnetic Characteristics

2020

Self Cite

View full text Add to dashboard Cite

A novel design of a magnetorheological (MR) damper is developed, fabricated, modelled and tested. The design includes some features that enhance the magnetic characteristics of the damper. The iron-cobalt-vanadium "Vacoflux-50" alloy and the "AMT-Smartec + " MR fluid, whose magnetic characteristics have been predicted to enhance the performance of the damper, are employed in the new design. Moreover, the location of the MR fluid region in the piston construction has been chosen so that the magnetic field maximises. To evaluate the impact of the proposed design improvements, an approach to modelling the performance of a previously-tested MR damper of a different design, different magnetic material, and different MR fluid has been developed. The approach combines a Finite Element Analysis (FEA) of the magnetic circuit, and a nonlinear analytical model of fluid flow. The results of the FE/analytical approach have been validated using the available published results of the same damper. Hence, the approach has been used to predict the performance of the same damper due to the employment of the proposed design improvements. The FE/analytical approach accounts for the nonlinear characteristics caused by the magnetic saturation of materials and the effects of fluid compressibility and aeration in the damper. It has been found that the implementation of the proposed design features leads to a remarkable increase in the magnetic field and the fluid yield stress. Also, the inclusion of the nonlinear magnetic and fluid flow characteristics have been found to affect the magnetic field distribution and the fluid yield stress greatly.

show abstract

Section: Introductionmentioning

confidence: 99%

Magnetic Circuit Analysis and Fluid Flow Modeling of an MR Damper With Enhanced Magnetic Characteristics

2020

Self Cite

View full text Add to dashboard Cite

show abstract

“…Two principal parameters for design of this suspension are spring stiffness and damper coefficient [1,2]. The optimal parameters should overcome the conflicting requirements that the hard damper gives better stability but reduced ride comfort whereas the soft one offers the contrary effect [3][4][5][6].…”

Section: Introductionequation Chapter 1 Sectionmentioning

confidence: 99%

Road friendliness optimization of heavy vehicle suspension based on particle swarm algorithm

Wang¹,

Lv²,

Li³

2015

Proceedings of the 2015 4th International Conference on Computer, Mechatronics, Control and Electronic Engineering

View full text Add to dashboard Cite

Abstract. In this paper, an optimization design method based on the Particle Swarm Optimization (PSO) technique is proposed for the enhancement of the passive suspension system performance of heavy vehicles. The optimization problem based on a quarter-vehicle model aims to minimize the dynamic tyre load subject to constraints on the natural frequency of the unsprung mass. PSO is applied to solve the optimization problem for obtaining optimum parameters, such as the suspension damping coefficient, spring and tyre stiffness. In order to assess the obtained design parameters, the suspension performance is estimated in time and frequency domains for different road excitations. The results show that the proposed method can obtain the optimum designed parameters quickly compared with the previous designed parameters using the genetic algorithm for the same passive suspension system, which will provide important parameters for the subsequent revised design. This paper provides a feasible way for the optimization design of a new type of suspension system.

show abstract

“…There are various models of MR fluids and [8][9][10][11]. A dynamic damper model proposed in this research to obtain the controllable damping force of the MR damper.…”

Section: Mr Damper Modelmentioning

confidence: 99%

Fuzzy Hybrid Control of Off-Road Vehicle Suspension Fitted With Magnetorheological Dampers

Ata

Oyadiji

2012

Volume 1: Advanced Computational Mechanics; Advanced Simulation-Based Engineering Sciences; Virtual and Augmented Reality; Appl

View full text Add to dashboard Cite

The vibration caused by severe road excitation influences off-road vehicle suspension performance. The vibration control of the suspension system is a crucial factor for modern vehicles. Smart control devices (magnetorheological dampers) are proposed as a first step to handle a multiple suspension system of off-road vehicles. The magnetorheological (MR) dampers can be employed as smart dampers for vibration suppression of the suspension system; this is done by varying the produced damping force. In this paper an investigation is presented on the effectiveness of such smart dampers in attenuating the vibration of a multiple suspension system. This goal is accomplished by designing a new fuzzy hybrid controller and studying its effectiveness on the suspension performance. The multiple suspension system considered here comprises a chassis, five wheels and three MR dampers. The chassis is suspended over the five wheels through five compression springs. Three MR dampers are attached to the first, second and the fifth wheel. The stiffness of the wheels is represented by five compression springs. Only the bounce and the pitch of the chassis are considered. The assessment of the proposed model is carried out through a simulation scheme under bump and sinusoidal excitations in the time domain. The excitation of the five wheels is done independently. The simulation is accomplished using the MATLAB/SIMULINK software. The simulation results show the effectiveness and robustness of the new controller in conjunction with MR dampers in vibration suppression. Compared to the passive suspension, the body bounce, body displacement, angular acceleration and pitch angle can be well controlled NOMENCLATURE ‫ݖ‬ሷ ௪Wheel acceleration ‫ݖ‬ ሷ Body acceleration ‫ܩ‬ Groundhook gain ‫ܩ‬ ௦Skyhook gain ܸ ௫

show abstract

Mathematical Modeling, Analysis, and Design of Magnetorheological (MR) Dampers

Cited by 30 publications

References 21 publications

Magnetic Circuit Analysis and Fluid Flow Modeling of an MR Damper With Enhanced Magnetic Characteristics

Magnetic Circuit Analysis and Fluid Flow Modeling of an MR Damper With Enhanced Magnetic Characteristics

Road friendliness optimization of heavy vehicle suspension based on particle swarm algorithm

Fuzzy Hybrid Control of Off-Road Vehicle Suspension Fitted With Magnetorheological Dampers

Contact Info

Product

Resources

About