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Improvement of an SI Engine Performance Using Modified Al-Doura Pool Gasoline Formulae: Simulation Study

  • Research Article - Mechanical Engineering
  • Published:
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Abstract

This paper presents the results of simulation study conducted on a water-cooled, single-cylinder, 4-stroke spark ignition engine. The engine was simulated using both original fuel produced in Iraq and a modified formula made by the authors. The results show great improvement in some of the fuel properties like calorific value, sulfur content, total water content, MON and RON and gum content. On the engine side, the engine power, torque, combustion efficiency, sulfur dioxide levels were greatly improved, while the heat loss, bsfc and NOx emissions increased. Further, Artificial Neural Networks (ANN) was used to predict the engine performance and emission characteristics of the engine. Separate models were developed for performance parameters as well as emission characteristics. ANN results showed that there is a good correlation between the ANN predicted values and the experimental values for various engine performance parameters and exhaust emission characteristics and the relative mean error values were within 5 %, which is acceptable.

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Abbreviations

Symbol:

Description

ANN:

Artificial Neural Networks

BP:

Back propagation

BFGS:

Broyden–Fletcher–Goldfarb–Shanno algorithm

BSFC:

Brake-specific fuel consumption

HSRN:

Heavy straight run naphtha

IC:

Internal combustion

LPG:

Liquefied petroleum gas

LSRN:

Light straight run naphtha

MON:

Motor octane number

MRE:

Mean relative error

MLP:

Multi-layer perception

MTBE:

Methyl tertiary butyl ether

NO x :

Nitrogen oxides

RAFR:

Relative air–fuel ratio

RMSE:

Root mean square error

RON:

Research octane number

SFC:

Specific fuel consumption

SI:

Spark ignition

SOS:

Sum of square errors

WOT:

Wide open throttle

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Correspondence to Eiman Ali Eh. Sheet.

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Sheet, E.A.E., Yamin, J. Improvement of an SI Engine Performance Using Modified Al-Doura Pool Gasoline Formulae: Simulation Study. Arab J Sci Eng 38, 2855–2864 (2013). https://doi.org/10.1007/s13369-012-0474-0

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  • DOI: https://doi.org/10.1007/s13369-012-0474-0

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