2016
DOI: 10.1016/j.applthermaleng.2016.06.131
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Effect of base oil on the nanostructure and oxidation characteristics of diesel particulate matter

Abstract: Effect of base oil on the characteristics of emitted particulate matter from a four-cylinder turbocharged diesel engine was investigated. This engine was lubricated with two kinds of base oil (characterized as 150 and 350). The viscosity and flash point of 350 base oil are higher than 150 base oil's. Transmission Electron Microscope, Raman spectroscopy and Thermogravimetric analyzer (TGA) were employed to analyze the particle diameter distribution, nanostructure, graphitization degree and its oxidation charact… Show more

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Cited by 34 publications
(6 citation statements)
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References 31 publications
(37 reference statements)
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“…67 Also, at high engine load, more fuel is injected into the combustion chamber and burned during the diffusion mode of combustion. 49 These in-cylinder conditions promote the nucleation and surface growth of soot particles and suppress soot oxidation, and hence the primary particle diameter increases. The increasing trend in primary particle diameter with increasing engine load is in accordance with the literature.…”
Section: Resultsmentioning
confidence: 99%
See 1 more Smart Citation
“…67 Also, at high engine load, more fuel is injected into the combustion chamber and burned during the diffusion mode of combustion. 49 These in-cylinder conditions promote the nucleation and surface growth of soot particles and suppress soot oxidation, and hence the primary particle diameter increases. The increasing trend in primary particle diameter with increasing engine load is in accordance with the literature.…”
Section: Resultsmentioning
confidence: 99%
“…The postprocessing of TEM images was performed using an in-house developed image processing code on the basis of the literature. , While the identification of soot agglomerates is easy, the real task is to identify individual soot primary particles. Parameters such as primary particle diameter ( d p ), number of particles in a soot agglomerate ( n ), and two-dimensional radius of gyration ( R g ) were used to compute the fractal dimension. , For each fuel blend/engine operating mode, approximately 3000 primary particles were identified for statistical analysis for morphology characteristics.…”
Section: Methodsmentioning
confidence: 99%
“…For nanostructural analysis of soot particles around 20 images per sample were obtained at high magnification from 500k upto 600k times. Based on the algorithms reported in the literature [15][16][17] a MATLAB-based code was developed for post processing of the TEM images. A detailed analysis of the morphology and nanostructure of the soot particles has been explained in another paper [18].…”
Section: Transmission Electron Microscopy and Image Postprocessingmentioning
confidence: 99%
“…24,25 Initially, it was reported that PM mainly contains dry soot, SOF, sulfates, ash, and moisture. 26 Similarly, Mohankumar et al 27 proposed that PM could be divided into a soluble and insoluble organic fraction, and soot accounts for the major proportion. Liati et al 28,29 analyzed the ash chemical composition, which consisted mainly of Ca, Mg, P, Zn, S, O and minor amounts of Fe, Al and Si.…”
Section: Introductionmentioning
confidence: 99%