Zero-Dimensional Modeling of the Rate of Injection with a Diesel Common Rail System Using Single-Hole Nozzles with Neat Low-Carbon Fuels

Abstract

This paper presents a fuel injection rate predictive model based on zero-dimensional correlations from experimental results. This model estimates the fuel injection rate behavior with varying parameters such as fuel injection pressure-injector energizing, the injection nozzle geometrical characteristics, and fuel viscosity. The model approach was carried out with diesel fuel. Then, the model was applied to the use of two alternative low-carbon fuels without diesel. An experimental methodology was used under controlled conditions, employing an injection rate indicator to measure the injection parameters in real time. The setup was carried out on a pump test bench using a common rail injection system. The results show that the model can be adapted to different injection conditions and fuels.

Adaptation and Validation of Injection Rate Predictive Model for Solenoid Type Injectors with Different Nozzle Geometry

“…Its arrangement on the body and the shape of the tip allows for control of fuel atomization, jet distance, injection angle, fluid turbulence, and injected quantity [17]. On the other hand, the minimum changes in the injection rate curve do not represent significant variations in combustion [18][19][20]. However, the atomization of the fuel and the distance reached by the injected jet will present differences in turbulence, in addition to generating a greater homogeneity with the oxidizer, allowing for greater control of the emissions and fuel used.…”