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Fractal Shape Analysis of Tire Debris Particles: Preliminary Results and Applications

Published online by Cambridge University Press:  21 March 2011

Marina Camatini
Affiliation:
Università degli Studi Milano - Bicocca, Dept. of Environmental Sciences, 1, Piazza della Scienza, I 20126 Milan, Italy; contact: [email protected]
Giovanni F Crosta
Affiliation:
Università degli Studi Milano - Bicocca, Dept. of Environmental Sciences, 1, Piazza della Scienza, I 20126 Milan, Italy; contact: [email protected]
Gaia M Corbetta
Affiliation:
Università degli Studi Milano - Bicocca, Dept. of Environmental Sciences, 1, Piazza della Scienza, I 20126 Milan, Italy; contact: [email protected]
Mara Ottin-Bocat
Affiliation:
Università degli Studi Milano - Bicocca, Dept. of Environmental Sciences, 1, Piazza della Scienza, I 20126 Milan, Italy; contact: [email protected]
Stefano Ambrosio
Affiliation:
Università degli Studi Milano - Bicocca, Dept. of Environmental Sciences, 1, Piazza della Scienza, I 20126 Milan, Italy; contact: [email protected]
Gianpaolo Giuliani
Affiliation:
Consorzio Milano Ricerche del CNR, MILAN, Italy
Simone Cencetti
Affiliation:
Pirelli Pneumatici S.p.A., MILAN, Italy.
Claudia Regazzoni
Affiliation:
Pirelli Pneumatici S.p.A., MILAN, Italy.
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Abstract

Particles of tread rubber debris produced by laboratory wear tests are imaged by light microscopy. The fractal dimension, DF, of the image perimeter is estimated. The sensitivity of DF with respect to the image acquisition and processing parameters is determined. Particles belonging to two types of undifferentiated debris, low severity (LS) and rasping (R), respectively, are analyzed. The values of DF have distributions, which, if suitably interpreted, allow the identification of either debris type with the following conditional probabilities: pLS|LS = 0.71 and pR|R = 0.81. The procedure can be eventually applied to environmental impact studies.

Type
Research Article
Copyright
Copyright © Materials Research Society 2001

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References

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