Naslov: | Particulate Exhaust Analysis from Internal Combustion Engines |
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Avtorji: | ID Swapna, Mohanachandran Nair Sindhu, UNIVERSITY OF KERALA (Avtor), et al. |
Datoteke: |
Gradivo nima datotek, ki so prostodostopne za javnost. Gradivo je morda fizično dosegljivo v knjižnici fakultete, zalogo lahko preverite v COBISS-u. |
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Jezik: | Angleški jezik |
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Vrsta gradiva: | Delo ni kategorizirano |
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Tipologija: | 1.03 - Drugi znanstveni članki |
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Organizacija: | UNG - Univerza v Novi Gorici
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Opis: | Today the world is worried over the particulate emission from various forms of internal combustion engines. The present work is an attempt to understand the constituents of the particulate emission and its possible use. The particulate exhaust matter containing carbonaceous soot produced from the combustion of
fuel containing hydrocarbons shows the presence of significant amount of carbon Nanomaterials. Hydrocarbons are the most widespread precursors among carbon sources employed in the production of carbon nanotubes (CNTs) and carbon
nanoparticles (CNPs). Carbon nanotubes find application in fuel cells providing improved performance. The soot particles collected from the internal combustion diesel engines are cleaned, powdered and analyzed by various techniques. The
CNPs are characterized by Field Emission Scanning Electron Microscopy (FESEM), X-Ray Powder Diffraction (XRD), Energy Dispersive X ray diffraction (EDS), Raman Spectroscopy, Photoluminescence spectroscopy (PL), Power spectrum and CIE
plot. X Ray Diffraction and Raman spectroscopic analysis show the presence of carbon nanotubes in the amorphous materials. |
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Ključne besede: | HydrocarbonsL Carbon nanotubes, Diesel engines, CIE plot, EDX, Raman spectroscopy |
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Verzija publikacije: | Objavljena publikacija |
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Leto izida: | 2017 |
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Št. strani: | 4 |
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Številčenje: | 3, 1 |
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PID: | 20.500.12556/RUNG-7430 |
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COBISS.SI-ID: | 113414403 |
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DOI: | 10.15406/oajp.2017.01.00013 |
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NUK URN: | URN:SI:UNG:REP:OBJGACR1 |
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Datum objave v RUNG: | 30.06.2022 |
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Število ogledov: | 2181 |
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Število prenosov: | 0 |
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