2008
DOI: 10.1021/ef700657g
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Optimization of a Fuel Injection System for Diesel and Biodiesel Usage

Abstract: This paper presents an optimization procedure of a fuel injection system of a bus diesel engine. Attention is focused on the differences resulting from using two different types of fuel: diesel and biodiesel. The proposed design procedure relies on the assumption that the atomization of fuel spray influences the diesel engine performance, fuel consumption, and harmful emission significantly. As a measure of spray atomization, the Sauter mean diameter is employed and introduced into the objective function. The … Show more

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Cited by 45 publications
(23 citation statements)
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“…Thus, appropriate changes may be required to the injection system components to compensate for the negative impact of using biodiesels. Similar conclusions were also reported in a study concerned with optimizing the injection system components for diesel and biodiesel by Kelg et al [37]. The optimum cam profile for diesel and biodiesel are reported to be different.…”
Section: Figuresupporting
confidence: 85%
“…Thus, appropriate changes may be required to the injection system components to compensate for the negative impact of using biodiesels. Similar conclusions were also reported in a study concerned with optimizing the injection system components for diesel and biodiesel by Kelg et al [37]. The optimum cam profile for diesel and biodiesel are reported to be different.…”
Section: Figuresupporting
confidence: 85%
“…1:8%), but increases its volatility. The biofuel density, strong velocity and bulk elasticity affect the injection characteristics [44,45], worth to note that the presence of oxygen enhances the combustion process in an engine. Further, biodiesel having both the high Flash Point and cetane number increases the ignition quality of biodiesel but without any harmful effect.…”
Section: Sodium Potassium Magnesium and Calciummentioning
confidence: 99%
“…Furthermore, d 32 can also be estimated by many other simplified expressions. One of these is the well-known Hiroyasu and Kadota formula (Aigal 2003;Kegl et al 2008):…”
Section: Mathematical Modeling and Simulationmentioning
confidence: 99%