Results 71 to 80 of about 5,021 (226)
The performance of magnetorheological fluid in squeeze mode [PDF]
, 2007 : In magnetorheological (MR) fluid, the rheological properties can be changed in a controlled way, the changes being reversible and dependent on the strength of the magnetic field.
A G Olabi +10 more
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Prototype of a magnetorheological damper
AUTOBUSY – Technika, Eksploatacja, Systemy Transportowe, 2018 Paper discussed the State of the Art focused on magnetorheological dampers. Then the new construction solution of a damper with a magnetorheological elastomer was presented. The magnetorheological damper was designed in the Institute of Aviation and was intellectually protected in the Polish Patent Office. The article ends with conclusions.
openaire +2 more sources
Magnetorheological Damper Working in Squeeze Mode
Advances in Mechanical Engineering, 2014 This research is focused on evaluation of the magnetorheological fluids (MRFs) based damper which works in squeeze mode. The operation direction of this damper is parallel to the direction of the external magnetic field. Before testing, commercial software ANSYS was used to analyze the magnetic field distribution inside the damper generated by ...
Xinglong Gong +4 more
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Prediction of Nuclear Explosion Vibration and MRD Semi‐Active Control Based on Deep Learning
Advances in Civil Engineering, Volume 2026, Issue 1, 2026.This research centers on the application of deep learning in predicting nuclear explosion vibration loads and the semi‐active control of magnetorheological dampers (MRDs). It delves deeply into the performance of the Convolutional Neural Network (CNN) and the long short‐term memory (LSTM) network. The time history of impact acceleration in the near and
Wei Huang +3 more
wiley +1 more source
Prototyping a new car semi-active suspension by variational feedback controller [PDF]
, 2016 New suspension systems electronically controlled are presented and mounted on board of a real car. The system consists of variable semi-active magneto-rheological dampers that are controlled through an electronic unit that is designed on the basis of a ...
CARCATERRA, Antonio +2 more
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Structural Control and Health Monitoring, Volume 2026, Issue 1, 2026.Real‐time hybrid simulation is an advanced structural testing methodology that divides a structural system into a numerical substructure for components with well‐known behavior and a physical substructure for complex nonlinear components. To address synchronization challenges between numerical and experimental substructures, this study introduces a ...
Yiming Chen +7 more
wiley +1 more source
Jixie qiangdu, 2020 Magnetorheological damper is a kind of intelligent actuator for semi-active control. The dynamical models of Magneto-rheological damper was analyzed in this paper.
LI Cheng, ZHANG QianBin
doaj
Design, Analysis, and Experimental Evaluation of a Double Coil Magnetorheological Fluid Damper
Shock and Vibration, 2016 A magnetorheological (MR) damper is one of the most advanced devices used in a semiactive control system to mitigate unwanted vibration because the damping force can be controlled by changing the viscosity of the internal magnetorheological (MR) fluids ...
Guoliang Hu +3 more
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Dynamic model for a magnetorheological damper
Applied Mathematical Modelling, 2014 Abstract A lumped mass thermo-mechanical model for the dynamics of a damper filled with a magnetorheological fluid is described, analyzed, and numerically simulated. The model includes friction and temperature effects, and consists of a differential inclusion for the piston displacements coupled with the energy balance equation for the temperature ...
R. Zalewski +3 more
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A Reinforcement Learning–Controlled Novel Mode‐Switching Hybrid Mass Damper on a Real Tower
Structural Control and Health Monitoring, Volume 2026, Issue 1, 2026.This work proposes a novel passive, semiactive and active mode‐switching hybrid mass damper (MSHMD) solution for the control of an actual high‐rise tower. For the mode‐switching control of the considered building system, a reinforcement learning algorithm, Deep Q‐Network (DQN), was implemented.
Lefteris Koutsoloukas +3 more
wiley +1 more source