Application of nanoparticle tracking analysis platform for the measurement of soot-in-oil agglomerates from automotive engines

被引：31

作者：

La Rocca, A. ^{[1
]}

Di Liberto, G. ^{[1
]}

Shayler, P. J. ^{[1
]}

Parmenter, C. D. J. ^{[2
]}

Fay, M. W. ^{[2
]}

机构：

[1] Dept Mech Mat & Mfg Engn, Nottingham NG7 2RD, England

[2] Nottingham Nanotechnol & Nanosci Ctr, Nottingham NG7 2RD, England

来源：

TRIBOLOGY INTERNATIONAL | 2014年 / 70卷

关键词：

Soot-in-oil; NTA; TEM; DIESEL-ENGINE; MICROSTRUCTURE; PARTICLES; WEAR;

D O I：

10.1016/j.triboint.2013.09.018

中图分类号：

TH [机械、仪表工业];

学科分类号：

0802 ;

摘要：

Nanoparticle Tracking Analysis (NTA) has been applied to characterising soot agglomerates of particles and compared with Transmission Electron Microscoscopy (TEM). Soot nanoparticles were extracted from used oil drawn from the sump of a light duty automotive diesel engine. The samples were prepared for analysis by diluting with heptane. Individual tracking of soot agglomerates allows for size distribution analysis. The size of soot was compared with length measurements of projected two-dimensional TEM images of agglomerates. Both the techniques show that soot-in-oil exists as agglomerates with average size of 120 nm. NTA is able to measure particles in polydisperse solutions and reports the size and volume distribution of soot-in-oil aggregates; it has the advantages of being fast and relatively low cost if compared with TEM. (C) 2013 The Authors. Published by Elsevier Ltd. All rights reserved.

引用

页码：142 / 147

页数：6

共 3 条

[1] The nanostructure of soot-in-oil particles and agglomerates from an automotive diesel engine
La Rocca, A.
Di Liberto, G.
Shayler, P. J.
Fay, M. W.
TRIBOLOGY INTERNATIONAL, 2013, 61 : 80 - 87
[2] TEM and HRTEM of Soot-in-oil particles and agglomerates from internal combustion engines
Fay, M. W.
La Rocca, A.
Shayler, P. J.
ELECTRON MICROSCOPY AND ANALYSIS GROUP CONFERENCE 2013 (EMAG2013), 2014, 522
[3] Characterisation of soot agglomerates from engine oil and exhaust system for modern compression ignition engines
Fayad, Mohammed A.
Martos, Francisco J.
Herreros, Jose M.
Dearn, Karl D.
Tsolakis, Athanasios
INTERNATIONAL JOURNAL OF ENGINE RESEARCH, 2023, 24 (09) : 4297 - 4304

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