TY - JOUR
T1 - Optimization of Raman spectroscopy parameters for characterizing soot from different diesel fuels
AU - Lapuerta, Magín
AU - Oliva, Fermín
AU - Agudelo, John R.
AU - Stitt, Joseph P.
N1 - Funding Information:
The authors gratefully acknowledge the Spanish Ministry of Education and Science for its financial support (project MECINBIO, ref: ENE2007-67529-C02-01), and for the financial support to Prof. Lapuerta for his stay the Energy Institute, Pennsylvania State University (PR2010-0419). Repsol and Stock del Vallés are acknowledged for the donation of the diesel and biodiesel fuels, respectively, Nissan Europe Technology Centre Spain, for the donation of the test engine, and the universities of Castilla–La Mancha, Antioquia, and Pennsylvania State, for supporting the authors’ stay at Pennsylvania State College and for hosting them, respectively. This publication was supported by the Pennsylvania State University Materials Research Institute NanoFabrication Network and the National Science Foundation Cooperative Agreement No. 0335765, National Nanotechnology Infrastructure Network, with Cornell University.
PY - 2011
Y1 - 2011
N2 - Raman analysis of carbonaceous materials requires selecting a number of parameters, some of which alter the sample and affect the resulting spectra. Much literature has discussed about the most appropriate values of these parameters for analyzing graphite, coals, or more disordered materials, but no published studies have proposed appropriate values for comparing soot derived from diesel engines fueled with different fuels. This comparison is essential for the design of the regenerative diesel particulate traps that all new automotive diesel engines must incorporate. The effect of three Raman parameters was studied over the same spot to eliminate dispersions associated with the heterogeneity of the sample: laser wavelength, intensity of the incident laser, and exposure time. Among the tested laser wavelengths, 488nm was preferred for comparing soot samples because it maximized the difference between their spectra due to better signal-to-noise ratio. The selection of the incident laser power is limited by altering/burning the focused area of the sample; this limit depends on the laser wavelength and the type of fuel used. Varying the exposure time was useful to show faster burning for the biodiesel soot sample than for the diesel soot one. The obtained results qualitatively indicate higher reactivity for biodiesel soot, enabling faster and less energy-consuming particulate trap regeneration.
AB - Raman analysis of carbonaceous materials requires selecting a number of parameters, some of which alter the sample and affect the resulting spectra. Much literature has discussed about the most appropriate values of these parameters for analyzing graphite, coals, or more disordered materials, but no published studies have proposed appropriate values for comparing soot derived from diesel engines fueled with different fuels. This comparison is essential for the design of the regenerative diesel particulate traps that all new automotive diesel engines must incorporate. The effect of three Raman parameters was studied over the same spot to eliminate dispersions associated with the heterogeneity of the sample: laser wavelength, intensity of the incident laser, and exposure time. Among the tested laser wavelengths, 488nm was preferred for comparing soot samples because it maximized the difference between their spectra due to better signal-to-noise ratio. The selection of the incident laser power is limited by altering/burning the focused area of the sample; this limit depends on the laser wavelength and the type of fuel used. Varying the exposure time was useful to show faster burning for the biodiesel soot sample than for the diesel soot one. The obtained results qualitatively indicate higher reactivity for biodiesel soot, enabling faster and less energy-consuming particulate trap regeneration.
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U2 - 10.1080/00102202.2011.587484
DO - 10.1080/00102202.2011.587484
M3 - Article
AN - SCOPUS:84855691930
SN - 0010-2202
VL - 183
SP - 1203
EP - 1220
JO - Combustion science and technology
JF - Combustion science and technology
IS - 11
ER -