Mathematical modeling and experimental evaluation of a prototype double-tube Magnetorheological damper

被引:0
|
作者
Ebrahim Yarali
Arman Mohammadi
Sheyda Mafakheri
Mostafa Baghani
Hamed Adibi
机构
[1] University of Tehran,School of Mechanical Engineering, College of Engineering
[2] University of Kurdistan,Department of Civil Engineering
[3] Amirkabir University of Technology,Department of Mechanical Engineering
来源
SN Applied Sciences | 2019年 / 1卷
关键词
Magnetorheological fluid; Magnetorheological damper; Carbonyl iron particle; Silicone dioxide nanoparticles; Neural network algorithm; Mathematical modeling;
D O I
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中图分类号
学科分类号
摘要
The performance of Magnetorheological dampers should be analyzed to study the stability of Magnetorheological fluid and its configuration. To this end, in this study a prototype Magnetorheological fluid is presented. The fluid consists of stabilized Silicone dioxide (SiO2) nanoparticles, Stearic acid, Phosphoric acid and micron-sized soft ferromagnetic carbonyl iron particles. To assure the authentic performance, sedimentation and magneto-rheometry tests are conducted. Also, a prototype of double-tube Magnetorheological damper with double magnetic components is fabricated by using the mentioned magnetorheological fluid characteristics. Damping force measurement test is carried out to measure the damping force in various electrical currents. The Kwok model is employed to examine the analytical model predictions against the experiments. Furthermore, a general evolution is presented using the neural network algorithm. It is demonstrated that the damping force in saturated current is almost five times higher than in the zero current. In addition, the derived evolution for the damping force has a high performance to predict the response of the Magnetorheological damper in other electrical currents.
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