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

被引:18
|
作者
Yarali, Ebrahim [1 ]
Mohammad, Arman [1 ]
Mafakheri, Sheyda [2 ]
Baghani, Mostafa [1 ]
Adibi, Hamed [3 ]
机构
[1] Univ Tehran, Coll Engn, Sch Mech Engn, Tehran, Iran
[2] Univ Kurdistan, Dept Civil Engn, Kurdistan, Iran
[3] Amirkabir Univ Technol, Dept Mech Engn, Tehran, Iran
来源
SN APPLIED SCIENCES | 2019年 / 1卷 / 11期
关键词
Magnetorheological fluid; Magnetorheological damper; Carbonyl iron particle; Silicone dioxide nanoparticles; Neural network algorithm; Mathematical modeling; PARAMETER-IDENTIFICATION; FLUID DAMPERS; MR FLUID; DESIGN; ELASTOMER; TIME;
D O I
10.1007/s42452-019-1408-1
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
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.
引用
收藏
页数:10
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