Prediction of performance and exhaust emissions of diesel engine fuelled with adulterated diesel : An artificial neural network assisted fuzzy-based topology optimization
This study evaluates the effects of diesel fuel adulteration on the performance and exhaust emission characteristics of an existing diesel engine. Kerosene is added to diesel fuel in volumetric proportions of 5, 10, 15, and 20%. Adulterated fuel significantly reduced the oxides of nitrogen emissions...
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Format: | Online-Aufsatz |
Sprache: | English |
Veröffentlicht: |
2018
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Schlagworte: | Adulteration engine performance engine exhaust emissions artificial intelligence artificial neural network fuzzy |
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