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E3 Journal of Scientific Research

E3 Journal of Scientific Research Vol. 1 (1) pp. 007-0011, March 2012; © E3 Journals; ISSN 2276-9919

A study on relationship between the compositions and properties of fuel and emissions from diesel engine with fuzzy – gray theory

Y. W. Deng *
Research Center for Advanced Powertrain Technology College of Mechanical and Vehicle Engineering, Hunan University, Changsha, Hunan, China 410082
*Corresponding Author E-mail: dengyuanwang610@126.com
Accepted 25 January 2012

Abstract

A significant work is presented in this paper on studying the relationships between the compositions and properties of fuel and exhaust emissions from engine; for the compositions and properties of fuel have a great effect on exhaust emissions from engine. A fuzzy model which evaluates the relationships between the compositions and properties of fuel and exhaust emissions from engine has been built up with the criteria of HC, CO, PM, NOx and CO2; the evaluation objectives of the fuels. The weight showing the importance of each criterion was calculated with the model. A fuzzy multicriteria evaluation has been done for the emissions performance of light-duty diesel engine with eleven fuels having different compositions and properties, getting their correlative grades and correlative sequence that represents the emissions performance of light-duty diesel engine. A detailed analysis has been achieved for the relationships between the compositions and properties of fuel and exhaust emissions from light-duty diesel engine. The results demonstrate that it is beneficial to decrease exhaust emissions and improve the emissions performance of light-duty diesel engine with the fuel having bigger cetane number, lower distillation, lower aromatics contents and smaller density.

Keywords: : light-type diesel engine, compositions and properties of diesel fuel, exhaust emission, fuzzy multicriteria evaluation, gray correlative degree

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