0
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.

FIGURES IN THIS ARTICLE
<>
Copyright © 2017 by ASME
Your Session has timed out. Please sign back in to continue.

References

Piersol, A. G. , and Paez, T. L. , 2010, Harris' Shock and Vibration Handbook, 6th ed., McGraw-Hill, New York.
El-Thalji, I. , and Jantunen, E. , 2015, “ A Summary of Fault Modelling and Predictive Health Monitoring of Rolling Element Bearings,” J. Mech. Syst. Signal Process., 60–61, pp. 252–272. [CrossRef]
Jamadar, I. M. , and Vakharia, D. P. , 2016, “ A Numerical Model for the Identification of the Structural Damages in Rolling Contact Bearings Using Matrix Method of Dimensional Analysis,” ASME J. Tribol., 138(2), p. 021106. [CrossRef]
Massimo, C. , and Alberto, I. , 2002, “ Analysis of Damage of Ball Bearings of Aeronautical Transmissions by Auto-Power Spectrum and Cross-Power Spectrum,” ASME J. Vib. Acoust., 124(2), pp. 180–185. [CrossRef]
Jang, G. H. , and Jeong, S. W. , 2003, “ Stability Analysis of a Rotating System Due to the Effect of Ball Bearing Waviness,” ASME J. Tribol., 125(1), pp. 91–101. [CrossRef]
Choy, F. K. , Zhou, J. , Braun, M. J. , and Wang, L. , 2005, “ Vibration Monitoring and Damage Quantification of Faulty Ball Bearings,” ASME J. Tribol., 127(4), pp. 776–783. [CrossRef]
Mevel, B. , and Guyader, J. L. , 2008, “ Experiments on Routes to Chaos in Ball Bearings,” J. Sound Vib., 318(3), pp. 549–564. [CrossRef]
Karacay, T. , and Akturk, N. , 2009, “ Experimental Diagnostics of Ball Bearings Using Statistical and Spectral Methods,” J. Tribol. Int., 42(6), pp. 836–843. [CrossRef]
Changqing, B. , Hongyan, Z. , and Qingyu, X. , 2010, “ Experimental and Numerical Studies on Nonlinear Dynamic Behavior of Rotor System Supported by Ball Bearings,” ASME J. Eng. Gas Turbines Power., 132(8), p. 082502.
Patil, M. S. , Mathew, J. , Rajendrakumar, P. K. , and Desai, S. , 2010, “ A Theoretical Model to Predict the Effect of Localized Defect on Vibrations Associated With Ball Bearing,” Int. J. Mech. Sci., 52(9), pp. 1193–1201. [CrossRef]
Patil, M. S. , Mathew, J. , and Rajendrakumar, P. K. , 2010, “ Experimental Studies Using Response Surface Methodology for Condition Monitoring of Ball Bearings,” ASME J. Tribol., 132(4), p. 044505. [CrossRef]
Kankar, P. K. , Sharma, S. C. , and Harsha, S. P. , 2011, “ Fault Diagnosis of Ball Bearings Using Continuous Wavelet Transform,” J. Appl. Soft Comput., 11(2), pp. 2300–2312. [CrossRef]
Jing, L. , Yimin, S. , and Teik, C. L. , 2012,” Vibration Analysis of Ball Bearings With a Localized Defect Applying Piecewise Response Function,” J. Mech. Mach. Theory., 56, pp. 156–169. [CrossRef]
Brian, T. H. , and Robert, X. G. , 2000, “ Vibration Analysis of a Sensor-Integrated Ball Bearing,” ASME J. Vib. Acoust., 122(4), pp. 384–392. [CrossRef]
Kankar, P. K. , Sharma, S. C. , and Harsha, S. P. , 2011, “ Fault Diagnosis of High Speed Rolling Element Bearings Due to Localized Defects Using Response Surface Method,” ASME J. Dyn. Syst. Meas. Control., 133(3), p. 031007. [CrossRef]
Patel, V. N. , Tandon, N. , and Pandey, R. K. , 2010, “ A Dynamic Model for Vibration Studies of Deep Groove Ball Bearings Considering Single and Multiple Defects in Races,” ASME J. Tribol., 132(4), p. 041101. [CrossRef]
Arslan, H. , and Aktürk, N. , 2008, “ An Investigation of Rolling Element Vibrations Caused by Local Defects,” ASME J. Tribol., 130(4), p. 041101. [CrossRef]
Ashtekar, A. , Sadeghi, F. , and Stacke, L. , 2008, “ A New Approach to Modeling Surface Defects in Bearing Dynamics Simulations,” ASME J. Tribol., 130(4), p. 041103. [CrossRef]
Ashtekar, A. , and Sadeghi, F. , 2011, “ Experimental and Analytical Investigation of High Speed Turbocharger Ball Bearings,” ASME J. Eng. Gas Turbines Power., 133(12), p. 122501. [CrossRef]
Sidra, K. , Dutt, J. K. , and Tandon, N. , 2014, “ Extracting Rolling Element Bearing Faults From Noisy Vibration Signal Using Kalman Filter,” ASME J. Vib. Acoust., 136(3), p. 031008.
Desavale, R. G. , Kanai, R. A. , Chavan, S. P. , Venkatachalam, R. , and Jadhav, P. M. , 2015, “ Vibration Characteristics Diagnosis of Roller Bearing Using the New Empirical Model,” ASME J. Tribol., 138(1), p. 011103. [CrossRef]
Wang, W. , Zhang, S. , Zhao, Z. , and Ai, S. , 2015, “ Effect of the Inhomogeneity in Races on the Dynamic Behavior of Rolling Bearing,” ASME J. Vib. Acoust., 137(6), p. 061015. [CrossRef]
Niu, L. , Cao, H. , He, Z. , and Li, Y. , 2014, “ Dynamic Modeling and Vibration Response Simulation for High Speed Rolling Ball Bearings With Localized Surface Defects in Raceways,” ASME J. Manuf. Sci. Eng., 136(4), p. 041015. [CrossRef]
Gibbings, J. C. , 2011, Dimensional Analysis, Springer-Verlag, London.
Thomas, S. , 2007, Applied Dimensional Analysis and Modeling, 2nd ed., Butterworth-Heinemann, Waltham, MA.
Choudhury, A. , and Tandon, N. , 2006, “ Vibration Response of Rolling Element Bearings in a Rotor Bearing System to a Local Defect Under Radial Load,” ASME J. Tribol., 128(2), pp. 252–261. [CrossRef]
Harris, T. A. , 1996, Rolling Bearing Analysis, 5th ed., Wiley, New York.
Sujatha, C. , 2010, Vibration and Acoustics-Measurement and Signal Analysis, 1st ed., Tata McGraw-Hill, New Delhi, India.

Figures

Grahic Jump Location
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

Grahic Jump Location
Fig. 2

Schematic of the test setup

Grahic Jump Location
Fig. 3

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

Grahic Jump Location
Fig. 4

Inner race defective bearing running at 1500 rpm

Grahic Jump Location
Fig. 5

Inner race defective bearing running at 2000 rpm

Grahic Jump Location
Fig. 6

Inner race defective bearing running at 2500 rpm

Grahic Jump Location
Fig. 7

Outer race defective bearing running at 1500 rpm

Grahic Jump Location
Fig. 8

Outer race defective bearing running at 2000 rpm

Grahic Jump Location
Fig. 9

Outer race defective bearing running at 2500 rpm

Grahic Jump Location
Fig. 10

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

Tables

Errata

Discussions

Some tools below are only available to our subscribers or users with an online account.

Related Content

Customize your page view by dragging and repositioning the boxes below.

Related Journal Articles
Related eBook Content
Topic Collections

Sorry! You do not have access to this content. For assistance or to subscribe, please contact us:

  • TELEPHONE: 1-800-843-2763 (Toll-free in the USA)
  • EMAIL: asmedigitalcollection@asme.org
Sign In