A new AI-surrogate model for dynamics analysis of a magnetorheological damper in the semi-active seat suspension

Liu, Xinhua; Wang, Ningning; Wang, Kun; Chen, Shumei; Sun, Shuaishuai; Li, Zhixiong; Li, Weihua

doi:10.1088/1361-665x/ab6ba5

Cited by 22 publications

(11 citation statements)

References 45 publications

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“…Magnetorheological fluids (MRFs) capable of controllable and reversible rheological properties are widely used in braking [1], medical instruments [2], damper [3], sealing [4] and other engineering fields [5,6]. It is widely recognized that the macroscopic properties of MRFs depend on their interior * Authors to whom any correspondence should be addressed.…”

Section: Introductionmentioning

confidence: 99%

Visualizing rheological mechanism of magnetorheological fluids

Shen

Hua

Liu

et al. 2022

Smart Mater. Struct.

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In order to study the rheological properties of aqueous magnetorheological fluids (MRFs) from microscopic point of view, an experimental observation method based on the fluorescence confocal laser scanning microscope is proposed to clearly produce the chain shape of the magnetic particles. Firstly, the mathematical model of the magnetic particles is established in a magnetic field using the magnetic dipole theory, and the MRFs with different fraction volumes and different magnetic fields are investigated. Furthermore, an aqueous MRFs experiment is prepared, in which the magnetic particles are combined with Alexa 488 fluorescent probe. On this basis, an observation method is innovatively developed using two-dimensional (2D) and three-dimensional (3D) image analysis by the fluorescence confocal microscope. The rheological mechanism of the aqueous MRFs is investigated using four different types of MRFs in an external magnetic field. The analysis results demonstrate that the simulation and experimental rheological properties of the MRFs are consistent with the magnetic dipole theory. Moreover, the proposed method is able to real-time observe the rheological process of the MRFs with a very high resolution, which ensures the correctness of the analysis results of the rheological mechanism.

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Section: Introductionmentioning

confidence: 99%

Visualizing rheological mechanism of magnetorheological fluids

Shen

Hua

Liu

et al. 2022

Smart Mater. Struct.

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“…The field-dependent pressure drop in the activated region can be controlled by adjusting the applied current to change the magnetic field intensity of the activated region, thereby controlling the mechanical properties of the MRA. The MRA has been widely used in vehicle suspension [7,8], landing gear [9,10], and vibration isolation [11,12] research over the last few decades because of its advantages of continuous and adjustable hydraulic resistance, rapid response, and low power consumption. The MR fluid in the gap is a fully developed unsteady laminar flow for the above applications.…”

Section: Introductionmentioning

confidence: 99%

“…Output the kinematic parameters of the moving boundary (or piston rod) as well as the mesh points velocity and pressure gradient in the gap. 8.…”

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confidence: 99%

Magnetorheological Fluid of High-Speed Unsteady Flow in a Narrow-Long Gap: An Unsteady Numerical Model and Analysis

2022

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To investigate the unsteady flow field generated by magnetorheological (MR) fluid of a high-speed unsteady laminar boundary layer flow in a narrow-long gap of the magnetorheological absorber (MRA), a new unsteady numerical model is proposed. The gap has magnetic-field-activated and inactivated regions, with MR fluid flowing as bi-viscous (non-Newtonian) and Newtonian fluid. The unsteady flow field is described by the unsteady incompressible governing partial differential equation (PDE) and initial-boundary conditions with the moving boundary. The space-time solution domain is discretized using the finite difference method, and the governing PDE is transformed into implicit partial difference equations. The volume flow rate function is constructed to solve numerical solutions of pressure gradient and fluid velocity based on mass conservation, the continuity equation, and the bisection method. The accuracy of unsteady numerical model is validated by the experiment data. The results show that the fluid acceleration profiles along the gap’s height are non-uniform distribution. Further, the volume flow rate and excitation current has a significant impact on the dynamic distribution of fluid velocity profiles, and the moving boundary makes the flow field asymmetric about the central plane. Furthermore, as the transition stress increases, the thickness of the pre-yield region in the activated region increases. There is also a transition flow phenomenon in the activated region as the volume flow rate increases. Finally, the unsteady numerical model has good stability and convergence.

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“…Liu et al. 37 developed a fruit fly optimization algorithm to optimize a surrogate model in MRF device, and the advantages of the algorithm are verified compared with that produced by neural network, genetic algorithm and original fruit fly algorithm. Moreover, Topcu et al.…”

Section: Introductionmentioning

confidence: 99%

A new combined braking approach of magnetorheological fluids brake based on fuzzy controller and improved PID controller

Hua

Liu

Gupta

et al. 2021

Proceedings of the Institution of Mechanical Engineers, Part C:

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With the aim to improve working performance of magnetorheological fluids (MRF) brake, a combined braking approach is proposed in this paper. A data acquisition system of MRF brake is designed and transfer function is identiﬁed for the device. Furthermore, based on the excitation current-extrusion pressure combined braking system, a fuzzy controller is designed to distribute the target torque. Moreover, through integration of fruit fly optimization algorithm (FOA) and particle swarm optimization algorithm (PSOA), an improved proportional-integral-differential (PID) controller is presented to conduct braking mechanism. Finally, the simulations and experiments are carried out. The results show that the combined braking approach with fuzzy controller and improved PID controller has characteristics of quick response and no overshoot, and superior to conventional PID and FOA PID controller.

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A new AI-surrogate model for dynamics analysis of a magnetorheological damper in the semi-active seat suspension

Cited by 22 publications

References 45 publications

Visualizing rheological mechanism of magnetorheological fluids

Visualizing rheological mechanism of magnetorheological fluids

Magnetorheological Fluid of High-Speed Unsteady Flow in a Narrow-Long Gap: An Unsteady Numerical Model and Analysis

A new combined braking approach of magnetorheological fluids brake based on fuzzy controller and improved PID controller

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