Modelling and Comparative Study for Deep Groove Ball Bearing Based on Structural Analysis using FE Simulation
by Avinash Galande * 
, Swanand Pachpore and Ashish Pawar
School of Mechanical Engineering, Dr. Vishwanath Karad MIT- World Peace University, Pune, Maharashtra, India
* Author to whom correspondence should be addressed.
Journal of Engineering Research and Sciences, Volume 1, Issue 4, Page # 68-73, 2022; DOI: 10.55708/js0104009
Keywords: Deep groove ball bearing, Silicon nitride, Equivalent stress, Equivalent strain
Received: 24 January 2022, Revised: 01 March 2022, Accepted: 01 April 2022, Published Online: 12 April 2022
APA Style
Galande, A., Pachpore, S., & Pawar, A. (2022, April). Modelling and Comparative Study for Deep Groove Ball Bearing Based on Structural Analysis using FE Simulation. Journal of Engineering Research and Sciences, 1(4), 68–73. https://doi.org/10.55708/js0104009
Chicago/Turabian Style
Galande, Avinash, Swanand Pachpore, and Ashish Pawar. “Modelling and Comparative Study for Deep Groove Ball Bearing Based on Structural Analysis Using FE Simulation.” Journal of Engineering Research and Sciences 1, no. 4 (April 2022): 68–73. https://doi.org/10.55708/js0104009.
IEEE Style
A. Galande, S. Pachpore, and A. Pawar, “Modelling and Comparative Study for Deep Groove Ball Bearing Based on Structural Analysis using FE Simulation,” Journal of Engineering Research and Sciences, vol. 1, no. 4, pp. 68–73, Apr. 2022, doi: 10.55708/js0104009.
A deep groove ball bearing is a rotary element designed for supporting a radial as well as axial load, low friction, and widely used due to little noise and vibration which supports high rotational speeds. In this article, the author carried out a structural analysis (using FE Simulation) of a single row deep groove ball bearing for estimating contact stress and total deformation for three grades of materials viz. Silicon Nitride (Si3N4), 440C Stainless Steel, and AISI 4140 Alloy Steel. Under the scope of the study, modeling is done using Autodesk Platform and analyzed using ANSYS as an FEA tool. The natural boundary conditions were applied to estimate the fatigue life of bearings under standard operating conditions. The obtained results indicate Silicon nitride material was found to be more significant amongst all materials taken for considerations.
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