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Technical Briefs

Characteristics of Cavitation Erosion Using Image Processing Techniques

[+] Author and Article Information
F. A. Alturki

Electrical Engineering Department,
King Saud University,
Majmaah University,
Saudi Arabia
e-mail: falturki@ksu.edu.sa

A. Abouel-Kasem

Faculty of Eng.-Rabigh,
Mechanical Eng. Dept.
King Abdulaziz University,
P.O. Box 344 Rabigh 21911,
Saudi Arabia;
Department of Mechanical Engineering,
Assiut University,
Assiut71516, Egypt
e-mail: abouelkasem@yahoo.com

S. M. Ahmed

Faculty of Engineering,
Mechanical Engineering Department,
Majmaah University,
Saudi Arabia
e-mail: shemy2007@yahoo.com

Contributed by Tribology Division of ASME for publication in the JOURNAL OF TRIBOLOGY. Manuscript received April 13, 2012; final manuscript received September 1, 2012; published online December 20, 2012. Assoc. Editor: Robert L. Jackson.

J. Tribol 135(1), 014502 (Dec 20, 2012) (7 pages) Paper No: TRIB-12-1056; doi: 10.1115/1.4007575 History: Received April 13, 2012; Revised September 01, 2012

This paper deals with the analysis of eroded surfaces obtained from cavitation-erosion experiments on stainless steel in water and oil-in-water (o/w) emulsions using image processing. Two analysis techniques that are very promising in this respect are the wavelet decomposition transform and fractals. These can be used to extract parameters that characterize the cavitation intensity in a similar manner to that of the mean depth of erosion (MDP). The extracted parameters are the wavelet energy and entropy as well as the fractal dimension. Both of the image feature parameters and the MDP decrease with adding oil to water. Also, it was found that the variation of image feature parameters versus concentration of oil-in-water emulsions has a general trend that does not depend on magnification factor. The cavitation erosion behavior and mechanism for water and o/w emulsions were analyzed and it was found that the predominant failure mode was fatigue for water and o/w emulsions. The results show that a corrosive effect appears at 5 and 10 wt% o/w emulsions.

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References

Figures

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Fig. 1

Mean depth of penetration (MDP) for water and o/w emulsions at time 1 and 7 h

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Fig. 2

SEM photographs of eroded surfaces for water and o/w emulsions at time 10 min

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Fig. 3

SEM photographs of developing eroded surfaces for water and o/w emulsions at time 20 min

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Fig. 4

Variation of wavelet energy (a) and Shannon entropies of mages for eroded surface cavitated in water and o/w emulsions for stainless steel at time 10 min and different magnifications

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Fig. 5

Variation of wavelet energy (a) and Shannon entropies of mages for eroded surface cavitated in water and o/w emulsions for stainless steel at time 20 min and different magnifications

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Fig. 6

Variation of fractal dimensions of eroded surfaces in water and o/w emulsions at time 20 min and at different magnifications

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