Abstract：All real-time control applications require fast response time.In order to make a magnetorheological (MR) damper meet the requirements of real-time control, dynamic response time study becomes particularly important.Here, a new type dual-channel MR damper was taken as the study object, various links affecting the response time of the damper were studied.The simulation results were combined with theoretical analysis to establish the damper’s electromagnetic response model, and the finite difference method was used to establish the mathematic model for rheological effect process of a MR fluid, obtain the change process of flow field and damping force in the channel from power outage to power on, and further achieve the dynamic response time of the damper.The actual response time of the damper was obtained with tests and compared with the theoretical calculation results to verify the creditability of the proposed calculation method.
[1] Ha S H, Choi S B, Lee K S, et al. Ride Quality Evaluation of Railway Vehicle Suspension System Featured by Magnetorheological Fluid Damper[J]. Journal of Computational & Theoretical Nanoscience, 2012, 12(1):209-213.
[2] Smith H A, Wu W H, Borja R I. Structural control considering soil–structure interaction effects[J]. Earthquake Engineering & Structural Dynamics, 2010, 23(6):609-626.
[3] Chandiramani N K . Semiactive Control of Earthquake/Wind Excited Buildings Using Output Feedback[J]. Procedia Engineering, 2016, 144:1294-1306.
[4] Koo J H, Goncalves F D, Ahmadian M, Investigation of the Response Time of Manetorheological Fluid Dampers [C], Proceeding of SPIE.SanDiego,CA,USA:SPIE,2004:63-71.
[5] CHOI Y T，WERELEY N M. Drop-induced shock mitigation Using adaptive magnetorheological energy absorbers incorporating a time lag [J]. Journal of Vibration and Acoustics，2015,137（1）：011010.
[6] ALDRICH C，JEMWA G T，KRISHNANNAIR S. Multiscale process monitoring with singular spectrum analysis [J]. Stellenbosch University of Stellenbosh，2010，40（11）:167-172.
[7] KIKUCHI T，NOMA J，AKAIWA S. Response time of magnetorheological fluid-based haptic device[J]. Journal of Intelligent Material Systems and Structures，2016, 27(7): 859-865.
[8] Zbyněk Strecker, Ivan Mazůrek, Jakub Roupec, Milan Klapka. Influence of MR damper response time on semiactive suspension control efficiency[J]. Meccanica, 2015,50 (8):1949-1959
[9] Earthquake/Wind Excited Buildings Using Output Feedback[J]. Procedia Engineering, 2016, 144:1294-1306.
[10] Hans Martin Laun, Claus Gabrie. Measurement modes of the response time of a magneto-rheological fluid (MRF) for changing magnetic flux density[J]. Rheologica Acta, 2007, .46 (5):665-676.
[11] 李赵春, 顾权, 周冰倩, 王炅. 冲击缓冲用磁流变阻尼器的响应特性模型与实验研究[J].振动与冲击，2018, 05:163-168.
LI Zhaochun, Gu Quan, Zhou Bingqian, WANG Jiong. Response Characteristics Model and Experimental Study of Magnetorheological Damper for Shock Buffer[J]. Journal of Vibration and Shock, 05:163-168.
[12] LAUN H M，GABRIEL C. Measurement modes of the response time of a magneto-rheological fluid(MRF) for changing magnetic flux density[J]. Acta Rheol，2007，46:665-676.
[13] STRECKER Z, ROUPEC J, MAZUREK I. Design of magnetorheological damper with short time response[J]. Journal of Intelligent Material Systems and Structures, 2015,26(14):1951-1958.
[14] Gangjoon Yoon, Chohong Min. Convergence Analysis of the Standard Central Finite Difference Method for Poisson Equation[J]. Journal of Scientific Computing. 2016, 67 (2): 602-617.
[15] Rafael Company, Vera Egorova, Lucas Jódar, Carlos Vázquez. Finite difference methods for pricing American put option with rationality parameter: Numerical analysis and computing[J]. Journal of Computational and Applied Mathematics. 2016, 03(1):1-17.
[16] 邹明松. 磁流变阻尼器流体力学分析及动力学仿真[D].南京：南京理工大学. 2007.
Zou Mingsong. Fluid mechanics analysis and dynamics simulation of magnetorheological damper[D]. Nanjing: Nanjing University of Science and Technology. 2007.
