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Technical Briefs

Experimental Studies Using Response Surface Methodology for Condition Monitoring of Ball Bearings

[+] Author and Article Information
M. S. Patil1

Department of Mechanical Engineering, Gogte Institute of Technology, Belgaum 590008, Karnataka, Indiamspatil_git@rediffmail.com

Jose Mathew

Department of Mechanical Engineering, National Institute of Technology, Calicut 673601, Kerala, Indiajosmat@nitc.ac.in

P. K. Rajendrakumar

Department of Mechanical Engineering, National Institute of Technology, Calicut 673601, Kerala, Indiapkrkumar@nitc.ac.in

Sumit Karade

Department of Mechanical Engineering, Gogte Institute of Technology, Belgaum 590008, Karnataka, Indiasumitkarade@gmail.com

1

Corresponding author.

J. Tribol 132(4), 044505 (Oct 07, 2010) (6 pages) doi:10.1115/1.4002520 History: Received September 17, 2009; Revised July 19, 2010; Published October 07, 2010; Online October 07, 2010

The presence of defect in the bearing (outer race, inner race, or ball) results in increased vibrations. Time domain indices such as rms, crest factor, and kurtosis are some of the important parameters used to monitor the condition of the bearing. Radial load and operating speed also have an important role in bearing vibrations. The interaction between the defect size, load, and speed helps to study their effect on vibrations more effectively. Response surface methodology (RSM) is a combination of statistical and mathematical techniques to represent the relationship between the inputs and the outputs of a physical system. But so far, the literature related to its application in bearing damage identification is scarce. The proposed study uses RSM to study the influence of defect size, load, and speed on the bearing vibrations. Kurtosis is used as response factor. Experiments are planned using Box Behnken design procedure. Experiments are performed using 6305 ball bearings and the results have been presented. MINITAB statistical software is used for analysis. It is seen from the analysis of the experimental results that the defect size, interaction effect of defect size and load, and interaction effect of defect size and speed are significant. Response surface method using Box Behnken design and analysis of variance has proved to be a successful technique to assess the significant factors related to bearing vibrations.

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Copyright © 2010 by American Society of Mechanical Engineers
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Figures

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Figure 1

Box–Behnken design

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Figure 2

(a) Experimental setup and (b) hydraulic loading arrangement

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Figure 3

Interaction plots (data means) for kurtosis for outer race defect

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Figure 4

(a) Contour plot and (b) surface plot for outer race defect

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Figure 5

Interaction plots (data means) for kurtosis for inner race defect

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Figure 6

(a) Contour plot and (b) surface plot for inner race defect

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Figure 7

Interaction plots (data means) for kurtosis for ball defect

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Figure 8

Contour plot and surface plot for ball defect size and load

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Figure 9

Contour plot and surface plot for ball defect size and shaft speed

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