Repozitorij Univerze v Novi Gorici

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Naslov:Fractal analysis - a surrogate technique for material characterization
Avtorji:ID Swapna, Mohanachandran Nair Sindhu, UNIVERSITY OF KERALA (Avtor)
ID S, Sankararaman, UNIVERSITY OF KERALA (Avtor)
Datoteke: Gradivo nima datotek, ki so prostodostopne za javnost. Gradivo je morda fizično dosegljivo v knjižnici fakultete, zalogo lahko preverite v COBISS-u. Povezava se odpre v novem oknu
Jezik:Angleški jezik
Vrsta gradiva:Delo ni kategorizirano
Tipologija:1.01 - Izvirni znanstveni članek
Organizacija:UNG - Univerza v Novi Gorici
Opis: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.
Ključne besede:fractals, FESEM, carbon nanoparticles, particle size, box-counting
Verzija publikacije:Objavljena publikacija
Leto izida:2017
Št. strani:7
Številčenje:6, 8
PID:20.500.12556/RUNG-7428 Novo okno
COBISS.SI-ID:113422083 Novo okno
DOI:10.17586/2220-8054-2017-8-6-809-815 Novo okno
NUK URN:URN:SI:UNG:REP:B1JYHUCH
Datum objave v RUNG:30.06.2022
Število ogledov:1167
Število prenosov:0
Metapodatki:XML RDF-CHPDL DC-XML DC-RDF
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Vaša ocena:Ocenjevanje je dovoljeno samo prijavljenim uporabnikom.
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Gradivo je del revije

Naslov:Nanosystems: Physics, Chemistry, Mathematics
Leto izida:2017
ISSN:2305-7971

Licence

Licenca:CC BY-NC-ND 4.0, Creative Commons Priznanje avtorstva-Nekomercialno-Brez predelav 4.0 Mednarodna
Povezava:http://creativecommons.org/licenses/by-nc-nd/4.0/deed.sl
Opis:Najbolj omejujoča licenca Creative Commons. Uporabniki lahko prenesejo in delijo delo v nekomercialne namene in ga ne smejo uporabiti za nobene druge namene.
Začetek licenciranja:29.06.2022

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