A review of design and modeling of magnetorheological valve

Fatah, Abdul Yasser Abd; Mazlan, Saiful Amri; Koga, Tomohiro; Zamzuri, Hairi; Zeinali, Mohammadjavad; Imaduddin, Fitrian

doi:10.1142/s0217979215300042

Cited by 59 publications

(54 citation statements)

References 94 publications

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“…The ANFIS approach has been employed in several papers to learn data from CFD database and then predict the bubbling flow including flow pattern, amount of gas, and turbulent kinetic energy (Abd Fatah et al, 2015;Azwadi, Zeinali, Safdari, & Kazemi, 2013;Wang, Chau, Qiu, & Chen, 2015;Zeinali, Mazlan, Fatah, & Zamzuri, 2013). Moreover, this model was applied for predicting the microscopic parameters including bubble formation, detachment and rising.…”

Section: Introductionmentioning

confidence: 99%

Prediction of multi-inputs bubble column reactor using a novel hybrid model of computational fluid dynamics and machine learning

Mosavi

Shamshirband

Salwana

et al. 2019

Engineering Applications of Computational Fluid Mechanics

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The combination of machine learning and numerical methods has recently become popular in the prediction of macroscopic and microscopic hydrodynamics parameters of bubble column reactors. Such numerical combination can develop a smart multiphase bubble column reactor with the ability of low-cost computational time when considering the big data. However, the accuracy of such models should be improved by optimizing the data parameters. This paper uses an adaptivenetwork-based fuzzy inference system (ANFIS) to train four big data inputs with a novel integration of computational fluid dynamics (CFD) model of gas. The results show that the increasing number of input variables improves the intelligence of the ANFIS method up to R = 0.99, and the number of rules during the learning process has a significant effect on the accuracy of this type of modeling. Furthermore, the proper selection of model's parameters results in higher accuracy in the prediction of the flow characteristics in the column structure.

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Section: Introductionmentioning

confidence: 99%

Prediction of multi-inputs bubble column reactor using a novel hybrid model of computational fluid dynamics and machine learning

Mosavi

Shamshirband

Salwana

et al. 2019

Engineering Applications of Computational Fluid Mechanics

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“…Hence, this design structure is not good for high loaded mount and its performance is limited due to the occurrence of the block-up phenomenon of MR fluid. The review of MR valve using for MR actuators was presented by Abd Fatah et al [18]. This review showed cross sections of MR valve which could be applied for design mount as shown in Figure 16.…”

Section: Configurations Of High Loaded Mr Mountsmentioning

confidence: 99%

“…To evaluate the "block-up" phenomenon, the difference pressure between upper chamber and lower chamber is determined from the solving equations (18) and (19) and compared this result with the limited pressure which comes from the yield stress of MR fluid in magnetic field of upper chamber. The limited pressure is calculated as follows:…”

Section: Analytical Tool For Mount Simulationmentioning

confidence: 99%

High Loaded Mounts for Vibration Control Using Magnetorheological Fluids: Review of Design Configuration

Phu

Choi

2015

Shock and Vibration

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Design configurations of high loaded magnetorheological (MR in short) mounts are reviewed and discussed. The configurations are analyzed on the basis of three operating modes of MR fluid: flow mode, shear mode, and squeeze mode. These modes are significantly important to develop new type of mounts and improve the efficiency of vibration control. In this paper, advantages and disadvantages of each operation mode are analyzed on the basis of ability of designing high loaded mounts. In order for analysis, the field-dependent damping force equations for typical cross sections of mounts are firstly investigated while maintaining original equations of these cross sections. As a subsequent step, simulation tools for the high loaded mounts are investigated and discussed. These tools which are developed from the analyzed method are expressed as functions of various design parameters such as inside pressure, magnetic field, dimension, stiffness, and damping. These tools are essential for accurate design of MR mount and for careful checking of the operation capability before manufacturing the mounts. This paper can provide very useful information and guidelines to determine an appropriate design configuration of high loaded mounts whose vibration control performances depend on the operational mode of MR fluid.

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“…This place is where the MR effect occurs. The MR valves may be found in different configurations such as annular, radial or annular-radial [8], according to the arrangement of the gap and, thus, the fluid flow. 1 Integrated Actuators Laboratory (LAI),École Polytechnique Fédérale de Lausanne (EPFL), Neuchâtel, Switzerland sofia.ntella@epfl.ch In this paper, the MR valves under examination, are used as pressure limiters in a wearable medical application for diabetic patients.…”

Section: Introductionmentioning

confidence: 99%

Design optimization of Miniature Magnetorheological Valves with Self-Sensing Capabilities Used for a Wearable Medical Application

Ntella

Duong

Civet

et al. 2020

2020 IEEE/ASME International Conference on Advanced Intelligent Mechatronics (AIM)

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Magnetorheological (MR) fluids are materials characterized as "intelligent" since their rheological properties may be controlled by the excitation of an external magnetic field. The application of the latter brings the fluid from a liquid to a semi-solid state. Due to their properties, these materials are widely used, among others, in biomedical applications. In the present work, multiple MR valves are incorporated as pressure limiters in a smart biomedical insole for diabetic patients. The diabetics are affected by high plantar pressures that cause ulceration and frequently, as a consequence of ulceration, lower extremity amputation. This novel insole aims at the active plantar pressure offloading. Thus, considering the small size of the insole, the number of the valves, as well as the high plantar pressures that reach up to 1 MPa on diabetic feet, a study is performed on optimizing the design of the MR valve, exploiting the Design of Experiments (DoE) techniques. Moreover, a testbench is presented for the examination of pressure self-sensing capabilities of the valves, with a future goal to integrate them in the design optimization and acquire a sensorless system.

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A review of design and modeling of magnetorheological valve

Cited by 59 publications

References 94 publications

Prediction of multi-inputs bubble column reactor using a novel hybrid model of computational fluid dynamics and machine learning

Prediction of multi-inputs bubble column reactor using a novel hybrid model of computational fluid dynamics and machine learning

High Loaded Mounts for Vibration Control Using Magnetorheological Fluids: Review of Design Configuration

Design optimization of Miniature Magnetorheological Valves with Self-Sensing Capabilities Used for a Wearable Medical Application

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