Journal of Mechanical Science and Technology

, Volume 33, Issue 9, pp 4319–4329 | Cite as

Design optimization of magnetorheological damper geometry using response surface method for achieving maximum yield stress

  • A. J. D. NanthakumarEmail author
  • J. Jancirani


Field controllable magnetorheological (MR) damper has gained prominence as a suitable vibration control device for a wide variety of applications as they offer the combined advantages of high-performance metrics of a fully active vibration control system with the cost metrics of a passive vibration control system. The functional quantity that influences the damping performance of a magnetorheological damper is the yield stress of the magnetorheological fluid across the fluid flow gap when the magnetic field is applied. To achieve maximum damping output from the magnetorheological damper, the geometry of the damper piston needs to be optimized. The main geometrical design parameters of the damper piston are the pole width, magnetorheological fluid flow gap, distance between piston rod and coil and the outer pole thickness. The optimization of the damper geometry is carried over with magnetic field strength and yield stress as response variables in two different iterations. A quadratic polynomial function is considered for both the response variables. The yield stress response variable is found to exhibit a more accurate following through the regression equation and it is selected as the response variable of choice. The individual effect of each of the design variable and the interaction effect of the design variables over the yield stress response variable is studied in this research paper. The optimal values of the piston geometry could be used to fabricate a magnetorheological damper prototype in future study.


Damper design Design optimization Magnetorheological damper Response surface method Saturation magnetization Yield stress 



Distance between piston rod and coil


Magnetorheological fluid flow gap


Magnetic field strength


Outer pole thickness


Pole width


Design variables in regression analysis


Response variable in regression analysis

Approximate value of response variable y

α, β, χ, BMRF, ξ(3), Ms

Material constants for the MR fluid


Co-efficients of regression function equation


Error between accurate response and approximate response of the response variable


Permeability of free space


Yield stress of the MR fluid


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© KSME & Springer 2019

Authors and Affiliations

  1. 1.Department of Automobile EngineeringSRM Institute of Science and TechnologyKattankulathurIndia
  2. 2.Department of Production TechnologyAnna UniversityChromepet, ChennaiIndia

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