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Research Papers: Applications

A Numerical Model for the Identification of the Structural Damages in Rolling Contact Bearings Using Matrix Method of Dimensional Analysis

[+] 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 May 30, 2015; final manuscript received October 14, 2015; published online February 9, 2016. Assoc. Editor: Xiaolan Ai.

J. Tribol 138(2), 021106 (Feb 09, 2016) (12 pages) Paper No: TRIB-15-1173; doi: 10.1115/1.4031989 History: Received May 30, 2015; Revised October 14, 2015

The damages to the structural elements, viz., inner race, outer race, rollers, cage, etc., of rolling contact bearings if not detected in time can cause tragic failures of the machineries supported by these bearings. The operating parameters like variations in the machinery speed, unbalance, operating load, etc., can cause a bearing to vibrate at higher energy levels and consequently will accelerate its wear. An attempt is made in this study, and a generalized model is developed using matrix method of dimensional analysis (MMDA) that predicted the response and correlated the dependent parameter, i.e., response with the significant independent parameters. Combined use of response surface methodology (RSM) is made to explore the dependence of various factors such as size of the defect, unbalance, speed, and their interactions on the vibration characteristics of the bearings. It is observed from the study that the model developed based on the MMDA has provided an efficient approach in recognizing the damaged bearing state, which can be easily implemented in the condition-based preventive maintenance strategies. Also, the effectiveness of MMDA as compared to the conventional Buckingham's pi theorem in the dimensional analysis (DA) practice, especially in the problems involving multiple variables, is shown in this study.

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Figures

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Fig. 1

Effect of various factors on bearing vibration

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Fig. 2

Flowchart of the proposed methodology

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Fig. 3

Schematic of the test rig

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Fig. 4

Artificially induced defects

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Fig. 5

Frequency spectrum for (a) experiment 1-IRD, (b) experiment 2-IRD, (c) experiment 3-IRD, (d) experiment 4-IRD, (e) experiment 5-IRD, (f) experiment 6-IRD, (g) experiment 7-IRD, and (h) experiment 8-IRD

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Fig. 7

Comparison of for IRD vibration amplitudes

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Fig. 6

Surface plots for (a) Δ and N-IRD, (b) Δ and Mu-IRD, and (c) Mu and N-IRD

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Fig. 8

Frequency spectrum for (a) experiment 1-ORD, (b) experiment 2-ORD, (c) experiment 3-ORD, (d) experiment 4-ORD, (e) experiment 5-ORD, (f) experiment 6-ORD, (g) experiment 7-ORD, and (h) experiment 8-ORD

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Fig. 9

Surface plots for (a) Δ and N-ORD, (b) Δ and Mu-ORD, and (c) Mu and N-ORD

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Fig. 10

Comparison of ORD vibration amplitudes

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