Application Of CFD To Modeling Of Squeeze Mode Magnetorheological Dampers

Open access


The so-called squeeze flow involves a magnetorheological (MR) fluid sandwiched between two planar surfaces setting up a flow channel. The height of the channel varies according to a prescribed displacement or force profile. When exposed to a magnetic field of sufficient strength MR fluids develop a yield stress. In squeeze-mode devices the yield stress varies with both the magnetic field magnitude and the channel height. In this paper an unsteady flow model of an MR fluid in squeeze mode is proposed. The model is developed in Ansys Fluent R16. The MR material flow model is based on the apparent viscosity approach. In order to investigate the material's behaviour the authors prepared a model of an idealized squeeze-mode damper in which the fluid flow is enforced by varying the height of the channel. Using mesh animation, the model plate is excited, and as the mesh moves, the fluid is squeezed out of the gap. In the simulations the model is subjected to a range of displacement inputs of frequencies from 10 to 20 Hz, and local yield stress levels up to 30 kPa. The results are presented in the form of time histories of the normal force on the squeezing plate and loops of force vs. displacement (velocity).

1. Case D., Taheri, B., Richer, E. (2013), Multiphysics modeling of magnetorheological dampers, The International Journal of Multiphysics, Vol. 7, No. 1, 61-76.

2. Chen S. M., Bullough W. A., Ellam D. J. (2007), Examination of through flow in a radial ESF clutch, Journal of Intelligent Material Systems and Structures, Vol. 12, 1175–1179.

3. de Vicente, Juan, et al. (2011), Squeeze flow magnetorheology, Journal of Rheology (1978-present), Vol. 55, No. 4, 753-779.

4. Esmonde, H., H. See, and M. V. Swain (2009), Modelling of ER squeeze films at low amplitude oscillations, Journal of Non-Newtonian Fluid Mechanics, Vol. 161, No. 1, 101-108.

5. Farjoud, A., Ahmadian, M., Mahmoodi, N., Zhang, X., & Craft, M. (2011), Nonlinear modeling and testing of magneto-rheological fluids in low shear rate squeezing flows, Smart Materials and Structures, Vol. 20, No. 8, 085013.

6. Gołdasz J., Sapiński B. (2015), Insight into magnetorheological shock absorbers, Springer Publishing, Heidelberg.

7. Gstottenbauer, N., Kainz, A., Manhartsgruber, B., Scheidl, R. (2008), Experimental and numerical studies of squeeze-mode behaviour of magnetic fluid, Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science, Vol. 22, No. 12, 2395-2407.

8. Jolly M., Bender J. W., Carlson J. D. (1996), Properties and applications of magnetorheological fluids, Proceedings of the SPIE Conference of the International Society of Optical Engineers, Vol. 3327, 262–275.

9. Jolly M., Carlson J. D. (1996), Controllable squeeze-film damping using magnetorheological fluids, Proceedings of the 5th International Conference on New Actuators, Bremen, 333–336.

10. Kieburg Ch. (2010), MR Fluid Basonetic 4035, BASF Technical Information.

11. Sapiński, B., Szczęch, M. (2013), CFD model of a magnetorheological fluid in squeeze mode, acta mechanica et automatica, Vol. 7, No. 3, 180-183.

12. Sproston J. L., Rigby S. G., Wiliams E. W., Stanway R. (1994), A numerical simulation of electrorheological fluids in oscillatory compressive squeeze-flow, Journal of Physics D: Applied Physics, Vol. 2, No. 27, 338–340.

13. Tannehill J. C., Anderson D. A., Pletcher R. H. (1996), Computational fluid mechanics and heat transfer. Taylor and Francis, New York.

14. Zhang X. J., Farjoud A., Ahmadian M, Guo K. H., Craft M. (2011), Dynamic testing and modeling of an MR squeeze mount, Journal of Intelligent Material Systems and Structures, Vol. 22, No. 15, 1717–1728.

15. 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. Advances in Mechanical Engineering, Vol. 2014, 402501.

Acta Mechanica et Automatica

The Journal of Bialystok Technical University

Journal Information

CiteScore 2017: 1.07

SCImago Journal Rank (SJR) 2017: 0.361
Source Normalized Impact per Paper (SNIP) 2017: 0.917


All Time Past Year Past 30 Days
Abstract Views 0 0 0
Full Text Views 133 133 8
PDF Downloads 70 70 5