Optimisation of monotube magnetorheological damper under shear mode

Technical Paper
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Abstract

Magnetorheological dampers (MR) are one of the semi active devices, which has the capability of providing variable damping force for the variable input current. Induced force is directly dependent on the amount of magnetic flux density developed in effective fluid flow gap of the MR damper. In the present work, influence of material properties on the magnetic flux is investigated by considering magnetic and nonmagnetic material for the outer cylinder of shear mode type MR damper. Magnetostatic analysis is carried out to obtain magnetic flux density for the initial configuration of the MR damper. From the analysis, it is found that usage of magnetic material cylinder which is insulated with nonmagnetic material provided higher value of magnetic flux and damping force. The geometric optimisation of MR damper is carried out to obtain the maximum flux density in the fluid flow gap. The objective function of the optimisation includes the maximum magnetic flux density and minimising fluid flow gap. Design variables considered are fluid flow gap, number of turns in the electromagnetic coil, length of the flange and DC current input. The optimisation is performed through response surface method using finite element analysis software (ANSYS). The best optimal design parameters are obtained by choosing the appropriate value of objective function. The best configuration of the design parameters, which induce the maximum magnetic flux density, is identified. The force induced in the MR damper is estimated analytically and a comparative study of the optimised and non-optimised results was carried out.

Keywords

Magnetostatic analysis Response surface optimisation method Magnetic flux density and MR damper 
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Notes

Acknowledgements

The authors acknowledge the funding support from Department of Science and Technology, India (DST): No. SB/FTP/ETA-0071/2013.

References

  1. 1.
    Yasrebi N, Ghazavi A, Mashhadi MM, Yousefi-Koma A (2006) Magneto-rheological fluid dampers modelling: numerical and experimental. Relation 1:75Google Scholar
  2. 2.
    Nguyen QH, Choi SB, Lee YS, Han MS (2009) An analytical method for optimal design of MR valve structures. Smart Mater Struct 18(9):1–12CrossRefGoogle Scholar
  3. 3.
    Djavareshkian MH, Esmaeili A, Safarzadeh H (2015) Optimal design of magnetorheological fluid damper based on response surface method. Int J Eng 28(9):1359–1367Google Scholar
  4. 4.
    Park EJ, Luz LF, Suleman A (2008) Multidisciplinary design optimization of an automotive magnetorheological brake design. Comput Struct 86(3–5):207–216CrossRefGoogle Scholar
  5. 5.
    Golinelli N, Spaggiari A (2015) Design of a novel magnetorheological damper with internal pressure control. Fract Struct Integr 32:13–23Google Scholar
  6. 6.
    Mangal SK, Kumar A (2015) Geometric parameter optimization of magneto-rheological damper using design of experiment technique. Int J Mech Mater Eng 10(1):1–9CrossRefGoogle Scholar
  7. 7.
    Parlak Z, Engin T, Çallı İ (2012) Optimal design of MR damper via finite element analyses of fluid dynamic and magnetic field. Mechatronics 22(6):890–903CrossRefGoogle Scholar
  8. 8.
    Ferdaus MM, Rashid MM, Hasan MH, Rahman MA (2014) Optimal design of magneto-rheological damper comparing different configurations by finite element analysis. J Mech Sci Technol 28(9):3667–3677CrossRefGoogle Scholar
  9. 9.
    Hu G, Xie Z, Li W (2015) Optimal design of a double coil magnetorheological fluid damper with various piston profiles. In: World congress on structural and multidisciplinary optimisation, pp 2–7Google Scholar
  10. 10.
    Zheng J, Li Z, Koo J, Wang J (2014) Magnetic circuit design and multiphysics analysis of a novel MR damper for applications under high velocity. Adv Mech Eng 2014:1–16Google Scholar
  11. 11.
    Nguyen QH, Han YM, Choi SB, Wereley NM (2007) Geometry optimization of MR valves constrained in a specific volume using the finite element method. Smart Mater Struct 16(6):2242–2252CrossRefGoogle Scholar
  12. 12.
    Zhang JQ, Feng ZZ, Jing Q (2009) Optimization analysis of a new vane MRF damper. J Phys Conf Ser 149:12087CrossRefGoogle Scholar
  13. 13.
    Nguyen QH, Choi SB (2008) Optimal design of a vehicle magnetorheological damper considering the damping force and dynamic range. Smart Mater Struct 18(1):015013CrossRefGoogle Scholar
  14. 14.
    Parlak Z, Engin T (2013) Optimal magnetorheological damper configuration using the Taguchi experimental design method. J Mech Des 135:08100/-8-1Google Scholar
  15. 15.
    Mehrkian B, Bahar A, Chaibakhsh A (2011) Genetic algorithm based optimization approach for MR dampers fuzzy modelling. World Acad Sci Eng Technol 59:1035–1041Google Scholar
  16. 16.
    Golinelli N, Spaggiari A (2015) Design and experimental validation of a novel magnetorheological damper with internal pressure control. In: ASME, conference on smart materials, adaptive structures and intelligent systemsGoogle Scholar
  17. 17.
    Zhou Y, Zhang YL (2013) Optimal design of a shear magnetorheological damper for turning vibration suppression. Smart Mater Struct 22(9):095012CrossRefGoogle Scholar
  18. 18.
    Arora VK, Bhushan G, Aggarwal ML (2016) Enhancement of fatigue life of multi-leaf spring by parameter optimization using RSM. J Braz Soc Mech Sci Eng 1–17Google Scholar
  19. 19.
    Lord Corporation MRF-132DG (2008) Magneto-rheological fluid. http://www.lord.com/sites/default/files/DS7015_MRF-132DGMRFluid.pdf
  20. 20.
    Choi SB, Han YM (2012) Magnetorheological fluid technology: applications in vehicle systems. CRC Press, New YorkGoogle Scholar
  21. 21.
    Xu ZD, Sha LF, Zhang XC, Ye HH (2013) Design, performance test and analysis on magnetorheological damper for earthquake mitigation. Struct Control Health Monit 20(6):956–970CrossRefGoogle Scholar
  22. 22.
    Ronge BP, Kajale SR, Pawar PM (2011) Theoretical and experimental analysis of MR fluid dampers. LAP Lambert Academic Publishing, New YorkGoogle Scholar
  23. 23.
    Celik HK, Rennie AE, Akinci I (2016) Design and structural optimisation of a tractor mounted telescopic boom crane. J Braz Soc Mech Sci Eng 1–16Google Scholar
  24. 24.
    Ganji PR, Chintala KP, Raju VK, Surapaneni SR (2016) Parametric study and optimization using RSM of DI diesel engine for lower emissions. J Braz Soc Mech Sci Eng 1–10Google Scholar
  25. 25.
    Ficici F, Durat M, Kapsiz M (2014) Optimization of tribological parameters for a brake pad using Taguchi design method. J Braz Soc Mech Sci Eng 36(3):653–659CrossRefGoogle Scholar
  26. 26.
    DESIGN EXPERT software (2013) State-ease. http://www.statease.com/training/webinar.html. Accessed 21 Oct 2016
  27. 27.
    Ghodsiyeh D, Golshan A, Izman S (2014) Multi-objective process optimization of wire electrical discharge machining based on response surface methodology. J Braz Soc Mech Sci Eng 36(2):301–313CrossRefGoogle Scholar
  28. 28.
  29. 29.
    Myers RH, Montgomery D, Anderson-Cook CM (2016) Response surface methodology: process and product optimization using designed experiments. Wiley, New YorkGoogle Scholar

Copyright information

© The Brazilian Society of Mechanical Sciences and Engineering 2017

Authors and Affiliations

  • T. M. Gurubasavaraju
    • 1
  • Hemantha Kumar
    • 1
  • M. Arun
    • 1
  1. 1.Department of Mechanical EngineeringNational Institute of Technology, KarnatakaMangaloreIndia

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