Modelling and testing of an in-house prototype twin-tube semi-active damper

Eslaminasab, Nima; Gillespie, Tom; Khamesee, Behrad; Golnaraghi, Farid

doi:10.1504/ijhvs.2009.027414

Cited by 2 publications

(2 citation statements)

References 14 publications

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“…Inside the bottom valve of the inner cylindrical housing has two reservoirs for both compression and tension that helps to control the flow. The major drawback of twin tube damper was in dissipating heat from MR fluid [19][20]. In the double ended damper, the piston extends from its two ends as shown in Figure 5.…”

Section: Twin Tube Dampersmentioning

confidence: 99%

A Review on the Magnetorheological Fluid, Damper and Its Applications for Seismic Mitigation

et al. 2018

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Magnetorheological (MR) fluids and dampers have wide advances as smart materials because of its unique properties, notably, viscosity increases in the presence when magnetic field applied MR Fluids composed of three key components, including carrier fluid, surfactants and metal particles. The major applications of MR Fluids are in brakes, dampers, journal bearings, fluid clutches, pneumatic artificial muscles, aerospace etc. where electrical energy is converted to mechanical energy (Damping Force) in a controlled manner. Within a few milliseconds the fluid converts from liquid to semi solid state. Over the years, researchers were concerned on the ways to enhance the modelling precision. Though the proposed Dynamic models of MR Dampers represent displacement and force behaviour. In this review paper, the advances of MR Fluids, MR Damper, Damper Models, Energy harvesting and their applications for seismic resistance of structures are briefly discussed in the present study.

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Section: Twin Tube Dampersmentioning

confidence: 99%

A Review on the Magnetorheological Fluid, Damper and Its Applications for Seismic Mitigation

et al. 2018

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“…Kciuk and Turczyn (2006) presented the basic properties of the MR fluids, and developed their model and their application in civil engineering. An in house semi-active damper with actuated valve is proposed for heavy vehicles by Eslaminasab et al (2009). A controllable MR fluid damper for use in truck seat suspensions and seismic application are made by Carlson et al (1996) and Dyke et al (1996).…”

Section: Introductionmentioning

confidence: 99%

Experiment of new laboratory prototyped magneto-rheological dampers on a light commercial vehicle using neuro-fuzzy algorithm

Zareh

Matbou

Khayyat

2014

Journal of Vibration and Control

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Magneto-rheological (MR) fluids consist of magnetic particles in carrying fluid. One of the drawbacks in using MR dampers in laboratory work is their price. At present, there is a compelling need for the production of the laboratory scale of MR fluids to lower their production cost. In this study, to show that the MR fluid is an applicable prototyped laboratory scale of single ended and mono-tube, MR dampers with a prototyped MR fluid are presented. The main features of produced MR fluid and dampers are simplifying in constructing and their low cost. These dampers are useful for laboratory research work. To illustrate the validity of the MR fluids, using this fluid, four MR dampers are made and based on the neuro-fuzzy (NF) algorithm are experimentally tested on a light commercial vehicle. The results of the experiment are analyzed for passengers comfort during driving. In this paper, the NF strategy is trained according to simulation results. The results that are obtained from the experiment are good and acceptable. The results have shown that the new prototyped MR dampers are implementable on actual cars for research studies with a low price.

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Modelling and testing of an in-house prototype twin-tube semi-active damper

Cited by 2 publications

References 14 publications

A Review on the Magnetorheological Fluid, Damper and Its Applications for Seismic Mitigation

A Review on the Magnetorheological Fluid, Damper and Its Applications for Seismic Mitigation

Experiment of new laboratory prototyped magneto-rheological dampers on a light commercial vehicle using neuro-fuzzy algorithm

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