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Research Papers: Applications

A New Damage Diagnostic Approach for Deep Groove Ball Bearings Having Localized Surface Defects in the Raceways

[+] Author and Article Information
I. M. Jamadar

Department of Mechanical Engineering,
S. V. National Institute of Technology (SVNIT),
Icchahanath,
Surat 395007, Gujarat, India
e-mail: imranjamadar2@gmail.com

D. P. Vakharia

Department of Mechanical Engineering,
S. V. National Institute of Technology (SVNIT),
Icchahanath,
Surat 395007, Gujarat, India
e-mail: vakharia@med.svnit.ac.in

1Corresponding author.

Contributed by the Tribology Division of ASME for publication in the JOURNAL OF TRIBOLOGY. Manuscript received January 25, 2016; final manuscript received April 5, 2017; published online July 10, 2017. Assoc. Editor: Xiaolan Ai.

J. Tribol 139(6), 061103 (Jul 10, 2017) (10 pages) Paper No: TRIB-16-1040; doi: 10.1115/1.4036630 History: Received January 25, 2016; Revised April 05, 2017

This paper presents mathematical expressions to identify the existence of localized surface defects on the raceways of the deep groove ball bearings. For the formulation of the mathematical expressions, matrix method of dimensional analysis based on force, length, time, and temperature (FLTϴ) system of unis is used. The model is based on the complete set of physical dimensions and operating parameters of the deep groove ball bearing in that the spall size is directly allied with vibration responses. The formulated governing model equations are solved numerically by applying a scheme of empirical modeling through multiple factorial regression analysis. Experiments are performed on the laboratory test rig to verify the results obtained from the developed model equations. For the experiments, deep groove ball bearings designated as SKF 6307 are used. These bearings are having artificially induced square-shaped surface defects of different sizes on the outer and inner races and are analyzed for different operating speeds. A good similarity between the predicted numerical values and the experimental results is noticed. This study showed that the proposed methodology can be successfully used for the characterization of the localized surface defects on the raceways of the deep groove ball bearings.

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References

Figures

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Fig. 1

(a) Defect modeling: length and width of defect, (b) defect modeling: depth of defect, (c) defect modeling: isometric view of defective inner race, and (d) defect modeling: position of balls and reference axis

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Fig. 2

Schematic of the test setup

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Fig. 3

(a) Bearing with artificial defects: inner race defect and (b) outer race defect

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Fig. 4

Inner race defective bearing running at 1500 rpm

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Fig. 5

Inner race defective bearing running at 2000 rpm

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Fig. 6

Inner race defective bearing running at 2500 rpm

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Fig. 7

Outer race defective bearing running at 1500 rpm

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Fig. 8

Outer race defective bearing running at 2000 rpm

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Fig. 9

Outer race defective bearing running at 2500 rpm

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Fig. 10

Variation of the peak vibration amplitude at the defect frequency: (a) inner race defect and (b) outer race defect

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