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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 ,
Giovanni F Crosta ,
Gaia M Corbetta ,
Mara Ottin-Bocat ,
Stefano Ambrosio ,
Gianpaolo Giuliani ,
Simone Cencetti  and
Claudia Regazzoni
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
Information
MRS Online Proceedings Library (OPL) , Volume 661: Symposium KK – Filled & Nanocomposite Polymer Materials , 2000 , KK1.6
Copyright
Copyright © Materials Research Society 2001

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References

REFERENCES

[1] Gent, A N, Rubber Chem. Technol., 62, 750–756 (1989)Google Scholar
[2] Padovan, Jet al., Rubber Chem. Technol., 72, 343–356 (1999)Google Scholar
[3] Camatini, Met al., to appear in Advances in Materials Problem Solving with the Electron Microscope, edited by Bentley, Jet al., (MRS Proc. 589: Warrendale, PA, 2000)Google Scholar
[4] Camatini, Met al., to appear in Materials Characterization 37 (2001)Google Scholar
[5] Stupak, P R, Donovan, J A, J. Mater. Scie., 23, 2230 (1988)Google Scholar
[6] Stupak, P R, Kang, J H, Donovan, J A, Materials Characterization, 27, 231–240 (1991)Google Scholar
[7] Kindratenko, Vet al., Env. Sci. Technol., 28, 2197–2202 (1994)Google Scholar
[8] Russ, J C, Fractal Surfaces, (Plenum: New York, 1994)Google Scholar
[9] Krishnan, V, Ramakrishnan, R, Donovan, J A, Rubber Chem. Technol. 68 804–14(1995)Google Scholar
[10] Crosta, G Fet al., in Light Scattering by Nonspherical Particles: Halifax Contributions, edited by Videen, Get al. (Army Res. Laboratory: Adelphi, MD, 2000).Google Scholar