This paper has attempted to scrutinize the bearing performance of a rough short bearing
assisted by a ferrofluid with the help of numerical modelling of the Shliomis model. The
transverse roughness is calculated stochastically by averaging the Christensen and Tonder
models. A non-zero mean is assumed for the probability density function for the random
variable that determines the roughness of the bearing which is symmetrical. This attempt
is made to create a more pragmatic and applicable situation. Expressions that can signify a
dimensionless form of pressure and bearing load carrying capacity are found using Reynolds’
equation. The load carrying capacity equation is then solved numerically with the help
of Simpson’s 1/3 rule to analyze the impact on the bearing system. From the graphical
representation, it can be concluded that ferrofluid lubrication based on the Shliomis model
can significantly neutralize the negative effects of the bearing roughness on its load carrying
capacity.
REFERENCES(20)
1.
Basu S.K., Sengupta S.N., Ahuja B.B., 2005, Fundamentals of Tribology, Prentice-Hall of India Private Limited, New Delhi, India.
Lin J.R., Li P.J., Hung T.C., 2013, Lubrication performances of short journal bearings operating with non-Newtonian ferrofluids, Zeitschrift f¨ur Naturforschung, 68a, 249-254.
Patel J., Deheri G.M., 2013a, A comparison of porous structures on the performance of a magnetic fluid based rough short bearing, Tribology in Industry, 35, 3, 177-189.
Patel R.U., Deheri G.M., 2013b, Effect of slip velocity on the performance of a short bearing lubricated with a magnetic fluid, Acta Polytechnica, 53, 6, 890-894.
Patel N.S., Vakharia D.P., Deheri G.M., 2012, A study on the performance of a magnetic fluid based hydrodynamic short porous journal bearing, Journal of the Serbian Society for Computational Mechanics, 6, 2, 28-44.
Shimpi M.E., Deheri G.M., 2012, Effect of deformation in magnetic fluid based transversely rough short bearing, Tribology – Materials Surfaces and Interfaces, 6, 1, 20-24.
We process personal data collected when visiting the website. The function of obtaining information about users and their behavior is carried out by voluntarily entered information in forms and saving cookies in end devices. Data, including cookies, are used to provide services, improve the user experience and to analyze the traffic in accordance with the Privacy policy. Data are also collected and processed by Google Analytics tool (more).
You can change cookies settings in your browser. Restricted use of cookies in the browser configuration may affect some functionalities of the website.