Noise Reduction of Deep Groove Ball Bearing (6205) by Process Optimization – An Experimental Approach
Manish Bhargava1, Shraddha Arya2, M.P. Singh3

1Manish Bhargava Associate Professor, NIT, Agartala (Tripura), India.
2Shraddha Arya, Associate Member, The Institute of Engineers, India.
3M.P. Singh Association of Engineers, Hong Kong., SAE India.

Manuscript received on 18 June 2019 | Revised Manuscript received on 25 June 2019 | Manuscript published on 30 June 2019 | PP: 1052-1061 | Volume-8 Issue-5, June 2019 | Retrieval Number: E7112068519/19©BEIESP
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Abstract: This paper presents a comprehensive study of the noise effect on deep groove ball bearing. Life of any rotatory components and machinery are depends on Ball Bearing so the bearing (DGBB) is crucial part of any rotary machinery and its failure causes disastrous failure of machinery. Noise level is the most important quality criteria of a ball bearing; it mainly depends on the following factors like Precision of the geometric forms (Track Profile, Curvature, and Talyrond etc.), Surface finish of the raceway and the balls, Cleanliness of the bearing, Type of lubricants etc. This paper mainly defines the experiment done on 18 random bearings, effect of different parameters of bearing to maintain a noise level by using DMAIC technology, and pareto chart after identification, reduction of noise has been done, which improves quality of bearing, cost effective & directly improves the quality of machine.
Keywords: Curvature, Deep Groove Ball Bearing, DMAIC, Track Profile, Talyrond, Pareto Chart.

Scope of the Article: Discrete Optimization