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Nanosystems: Physics, Chemistry, Mathematics, 2017, Volume 8, Issue 6, Pages 809–815
DOI: https://doi.org/10.17586/2220-8054-2017-8-6-809-815
(Mi nano107)
 

This article is cited in 10 scientific papers (total in 10 papers)

CHEMISTRY AND MATERIAL SCIENCE

Fractal analysis – a surrogate technique for material characterization

M. S. Swapna, S. Sankararaman

Department of Optoelectronics and Department of Nanoscience and Nanotechnology, University of Kerala, Trivandrum, Kerala, 695581, India
Abstract: Fractal analysis has emerged as a potential analytical tool in almost all branches of science and technology. The paper is the first report of using fractal dimension as a surrogate technique for estimating particle size. A regression equation is set connecting the soot particle size and fractal dimension, after investigating the Field Emission Scanning Electron Microscopic (FESEM) images of carbonaceous soot from five different sources. Since the fractal dimension is an invariant property under the scale transformation, an ordinary photograph of the soot should also yield the same fractal dimension. This enables one to determine the average size of the soot particles, using the regression equation, by calculating the fractal dimension from the photograph. Hence, instead of frequent measurement of average particle size from FESEM, this technique of estimating the particle size from the fractal dimension of the soot photograph, is found to be a potentially cost-effective and non-contact method.
Keywords: fractals, FESEM, carbon nanoparticles, particle size, box-counting.
Received: 16.10.2017
Revised: 26.10.2017
Bibliographic databases:
Document Type: Article
PACS: 81.05 U, 05.45.Df, 61.48.De, 81.20.Ka
Language: English
Citation: M. S. Swapna, S. Sankararaman, “Fractal analysis – a surrogate technique for material characterization”, Nanosystems: Physics, Chemistry, Mathematics, 8:6 (2017), 809–815
Citation in format AMSBIB
\Bibitem{SwaSan17}
\by M.~S.~Swapna, S.~Sankararaman
\paper Fractal analysis -- a surrogate technique for material characterization
\jour Nanosystems: Physics, Chemistry, Mathematics
\yr 2017
\vol 8
\issue 6
\pages 809--815
\mathnet{http://mi.mathnet.ru/nano107}
\crossref{https://doi.org/10.17586/2220-8054-2017-8-6-809-815}
\isi{https://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=Publons&SrcAuth=Publons_CEL&DestLinkType=FullRecord&DestApp=WOS_CPL&KeyUT=000419787600015}
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  • https://www.mathnet.ru/eng/nano107
  • https://www.mathnet.ru/eng/nano/v8/i6/p809
  • This publication is cited in the following 10 articles:
    Citing articles in Google Scholar: Russian citations, English citations
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    Nanosystems: Physics, Chemistry, Mathematics
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