TY - JOUR
T1 - The correlation between diesel soot chemical structure and reactivity
AU - Guo, Yi
AU - Ristovski, Zoran
AU - Graham, Elizabeth
AU - Stevanovic, Svetlana
AU - Verma, Puneet
AU - Jafari, Mohammad
AU - Miljevic, Branka
AU - Brown, Richard
N1 - Funding Information:
We thank Llew Rintoul, the technologist of Raman microspectroscopy, in Queensland University of Technology (QUT) for the guidance during the measurement and band interpretation, and Peter Hines from QUT for the XPS measurements. The first author gratefully thanks Neal Fairley, the instructor in CasaXPS Ltd for the XPS technical and data interpretation support, as well as Dr Doug Stuart, Director at Suncoast Renewables, for support through a donation of coconut biodiesel. Also, the first author thanks for the financial support from China Scholarship Council (CSC) for the PhD scholarship. The research was partly supported by Australian Reserch Council (ARC) grant DP180102632 .
Funding Information:
We thank Llew Rintoul, the technologist of Raman microspectroscopy, in Queensland University of Technology (QUT) for the guidance during the measurement and band interpretation, and Peter Hines from QUT for the XPS measurements. The first author gratefully thanks Neal Fairley, the instructor in CasaXPS Ltd for the XPS technical and data interpretation support, as well as Dr Doug Stuart, Director at Suncoast Renewables, for support through a donation of coconut biodiesel. Also, the first author thanks for the financial support from China Scholarship Council (CSC) for the PhD scholarship. The research was partly supported by Australian Reserch Council (ARC) grant DP180102632.
Publisher Copyright:
© 2020 Elsevier Ltd
PY - 2020/5
Y1 - 2020/5
N2 - Four types of fuels blended with diesel in scaling proportion were used in a diesel engine to generate 13 different soot samples. The samples were characterised for their thermal-induced oxidation process with DSC and TGA from which the mass loss during each of three phases and 6 critical temperatures was obtained per sample. With the same samples, soot chemical structure was characterised by Raman, XPS and TEM. This analysis provided information on different carbon chemical structures, O/C ratio on the sample surface, and nanostructure (fringe length and tortuosity). It was observed that generally for oxygenated fuel blends, the soot samples are more reactive, have more O functional groups on the carbon layer edge plane and have smaller polyaromatic layer size than reference diesel soots, while aromatic fuel blends show the opposite trends. However, the trend was not distinctive for all the samples analysed. Nevertheless, the two groups of data are highly correlated which implies that the chemical structure is the underlying reason dominating the soot reactivity. Specifically, the soot samples with more O functional groups and/or C–C bonds on the edge plane, are more reactive, they lose more mass at the lower temperature range and require lower temperature to initiate oxidation.
AB - Four types of fuels blended with diesel in scaling proportion were used in a diesel engine to generate 13 different soot samples. The samples were characterised for their thermal-induced oxidation process with DSC and TGA from which the mass loss during each of three phases and 6 critical temperatures was obtained per sample. With the same samples, soot chemical structure was characterised by Raman, XPS and TEM. This analysis provided information on different carbon chemical structures, O/C ratio on the sample surface, and nanostructure (fringe length and tortuosity). It was observed that generally for oxygenated fuel blends, the soot samples are more reactive, have more O functional groups on the carbon layer edge plane and have smaller polyaromatic layer size than reference diesel soots, while aromatic fuel blends show the opposite trends. However, the trend was not distinctive for all the samples analysed. Nevertheless, the two groups of data are highly correlated which implies that the chemical structure is the underlying reason dominating the soot reactivity. Specifically, the soot samples with more O functional groups and/or C–C bonds on the edge plane, are more reactive, they lose more mass at the lower temperature range and require lower temperature to initiate oxidation.
UR - http://www.scopus.com/inward/record.url?scp=85079100584&partnerID=8YFLogxK
U2 - 10.1016/j.carbon.2020.01.061
DO - 10.1016/j.carbon.2020.01.061
M3 - Article
AN - SCOPUS:85079100584
SN - 0008-6223
VL - 161
SP - 736
EP - 749
JO - Carbon
JF - Carbon
ER -