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Fractal analysis of erosion surfaces

Published online by Cambridge University Press:  31 January 2011

Sreeram Srinivasan ,
John C. Russ  and
Ronald O. Scattergood
Sreeram Srinivasan
Affiliation:
Box 7907, Department of Materials Science and Engineering, North Carolina State University, Raleigh, North Carolina 27695
John C. Russ
Affiliation:
Box 7907, Department of Materials Science and Engineering, North Carolina State University, Raleigh, North Carolina 27695
Ronald O. Scattergood
Affiliation:
Box 7907, Department of Materials Science and Engineering, North Carolina State University, Raleigh, North Carolina 27695
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Abstract

Fractal analysis of steady-state erosion surfaces generated by erodents of widely different hardnesses on single crystal sapphire shows surprising similarities in spite of a large difference in erosion rates and single impact morphology. This study quantifies the surfaces in terms of the surface texture measurements using recently developed image analysis techniques. The interpretation for such similarities is that a single mechanism of material removal is operative for all erodents. The differences are explained in terms of the efficiency of crack initiation in the target by the two erodents.

Type
Materials Communications
Information
Journal of Materials Research , Volume 5 , Issue 11 , November 1990 , pp. 2616 - 2619
Copyright
Copyright © Materials Research Society 1990

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References

REFERENCES

1Wada, S. and Watanabe, N., J. Ceram. Soc. Jpn., Int'l. ed. (Yogyo-Kyokai-Shi), 95 (9), 835 (1987).Google Scholar
2Wada, S., Watanabe, N., and Tani, T., J. Ceram. Soc. Jpn., Int'l. ed. (Yogyo-Kyokai-Shi), 96, 737 (1988).Google Scholar
3Srinivasan, S. and Scattergood, R. O., Wear 128, 139 (1988).CrossRefGoogle Scholar
4Murugesh, L. and Scattergood, R. O., submitted to J. Mater. Sci. (1990).Google Scholar
5Russ, J. C. and Russ, J. C., Particle Characterization 4, 22 (1987).CrossRefGoogle Scholar
6Russ, J. C., Computer Assisted Microscopy (Plenum Press, New York, 1990), Chap. 10.CrossRefGoogle Scholar
7Cook, R. F., Lawn, B. R., and Fairbanks, C. J., J. Am. Ceram. Soc. 68 (11), 604 (1985).CrossRefGoogle Scholar
8 PrismView program for the Macintosh computer distributed by Dapple Systems, 355 West Olive Ave., Sunnyvale, CA 94086.Google Scholar
9Gibbons, J. D., Nonparametric Methods for Quantitative Analysis, 2nd ed. (American Sciences Press, Inc., 1985).Google Scholar
10Press, W. H., Flannery, B. P., Teukolsky, S. A., and Vetterling, W.T., Numerical Recipes: The Art of Scientific Computing (Cambridge University Press, 1986).Google Scholar
11Murugesh, L. and Scattergood, R. O., Wear (1990, in press).Google Scholar
12Cook, R. F. and Pharr, G. M., J. Am. Ceram. Soc. 73 (4), 787 (1990).CrossRefGoogle Scholar
13Ruff, A.W. and Wiederhorn, S.M., Treatise on Materials Science and Technology, edited by Preece, C. M. (Academic Press, New York, 1979), Vol. 16, p. 69.Google Scholar
14Lawn, B. R. and Evans, A. G., J. Mater. Sci. 12, 2195 (1977).CrossRefGoogle Scholar
15Chan, H. M. and Lawn, B. R., J. Am. Ceram. Soc. 71 (1), 29 (1988).CrossRefGoogle Scholar
16Brookes, C. A., Howes, V. R., and Parry, A. R., Nature 332, 139 (1988).CrossRefGoogle Scholar
17Brookes, C. A., Shaw, M. P., and Tanner, P. E., Proc. R. Soc. London, A 409, 141 (1987).Google Scholar