Automotive/Fuel Cooperative Research - Past, Present and Future

Belian, Timothy C.; Bailey, Brent K.

doi:10.4271/2000-01-1970

Cited by 1 publication

(2 citation statements)

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“…Even though the influence of fuel properties on exhaust emissions is less severe than the engine itself, the role of the fuel becomes more important as the environmental regulations become more stringent. The close cooperation between automotive and petroleum industries is of utmost importance in order to achieve better understanding and face the problem of formation and control of exhaust emissions from internal combustion engines …”

Section: Introductionmentioning

confidence: 99%

“…The close cooperation between automotive and petroleum industries is of utmost importance in order to achieve better understanding and face the problem of formation and control of exhaust emissions from internal combustion engines. 3 The impact of diesel exhaust emissions on public health is under detailed study, and emphasis is given on particulate matter emissions as well as the carcinogenic effect of some of their components, like polynuclear aromatic hydrocarbons (PAH). 4,5 The impact of diesel fuel properties on exhaust emissions from diesel engines has been under investigation for several years.…”

Section: Introductionmentioning

confidence: 99%

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A Neural Network Approach for the Correlation of Exhaust Emissions from a Diesel Engine with Diesel Fuel Properties

et al. 2003

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This paper presents expressions correlating the exhaust emissions from a single-cylinder diesel engine with some of the most important properties of the fuels used, using a neural network approach. The exhaust emissions measured were carbon monoxide, hydrocarbons, nitrogen oxides, and particulate matter. The experiments were performed using a matrix of 59 fuels. The cetane number of the fuels covered the range 42-58, the density varied between 0.840 and 0.860 g/mL, and the sulfur content from 0.05 to 0.20 wt %. The predictions were based on specific points of the distillation curve, the cetane number, density, and kinematic viscosity of the fuels. In the case of particulate matter emissions, sulfur content was also employed. The predictions obtained were very good for all the emissions considered. The aromatic content was not used as a predictor variable, because it was found to have a strong inter-correlation with the cetane number, density, and two specific points of the distillation curve, the 50% and the 90% recovery point.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%