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Technical Paper

Numerical Investigation of GDI Injector Nozzle Geometry on Spray Characteristics

2015-09-01
2015-01-1906
The large eddy simulation (LES) with Volume of Fluid (VOF) interface tracking method in Ansys-FLUENT has been used to study the effects of nozzle hole geometrical parameters on gasoline direct injection (GDI) fuel injectors, namely the effect of inner hole length/diameter (L/D) ratio and counter-bore diameters on near field spray characteristics. Using iso-octane as a model fuel at the fuel injection pressure of 200 bar, the results showed that the L/D ratio variation of the inner hole has a more significant influence on the spray characteristics than the counter-bore diameter variation. Reducing the L/D ratio effectively increases the mass flow rate, velocity, spray angle and reduces the droplet size and breakup length. The increased spray angle results in wall impingements inside the counter-bore cavity, particularly for L/D=1 which can potentially lead to increased deposit accumulation inside fuel injectors.
Journal Article

Influence of Injection Timing and Piston Bowl Geometry on PCCI Combustion and Emissions

2009-04-20
2009-01-1102
Premixed Charge Compression Ignition (PCCI), a Low Temperature Combustion (LTC) strategy for diesel engines is of increasing interest due to its potential to simultaneously reduce soot and NOx emissions. However, the influence of mixture preparation on combustion phasing and heat release rate in LTC is not fully understood. In the present study, the influence of injection timing on mixture preparation, combustion and emissions in PCCI mode is investigated by experimental and computational methods. A sequential coupling approach of 3D CFD with a Stochastic Reactor Model (SRM) is used to simulate the PCCI engine. The SRM accounts for detailed chemical kinetics, convective heat transfer and turbulent micro-mixing. In this integrated approach, the temperature-equivalence ratio statistics obtained using KIVA 3V are mapped onto the stochastic particle ensemble used in the SRM.
Technical Paper

Studying the Influence of Direct Injection on PCCI Combustion and Emissions at Engine Idle Condition Using Two Dimensional CFD and Stochastic Reactor Model

2008-04-14
2008-01-0021
A detailed chemical model was implemented in the KIVA-3V two dimensional CFD code to investigate the effects of the spray cone angle and injection timing on the PCCI combustion process and emissions in an optical research diesel engine. A detailed chemical model for Primary Reference Fuel (PRF) consisting of 157 species and 1552 reactions was used to simulate diesel fuel chemistry. The model validation shows good agreement between the predicted and measured pressure and emissions data in the selected cases with various spray angles and injection timings. If the injection is retarded to -50° ATDC, the spray impingement at the edge of the piston corner with 100° injection angle was shown to enhance the mixing of air and fuel. The minimum fuel loss and more widely distributed fuel vapor contribute to improving combustion efficiency and lowering uHC and CO emissions in the engine idle condition.
Technical Paper

Investigation into Controlled Auto-Ignition Combustion in a GDI Engine with Single and Split Fuel Injections

2007-04-16
2007-01-0211
A multi-cycle three-dimensional CFD engine simulation programme has been developed and applied to analyze the Controlled autoignition (CAI) combustion, also known as homogeneous charge compression ignition (HCCI), in a direct injection gasoline engine. CAI operation was achieved through the negative valve overlap method by means of a set of low lift camshafts. The effect of single injection timing on combustion phasing and underlying physical and chemical processes involved was examined through a series of analytical studies using the multi-cycle 3D engine simulation programme. The analyses showed that early injection into the trapped burned gases of a lean-burn mixture during the negative valve overlap period had a large effect on combustion phasing, due to localized heat release and the production of chemically reactive species. As the injection was retarded to the intake stroke, the charge cooling effect tended to slow down the autoignition process.
Technical Paper

Investigation into the Effect of Injection Timing on Stoichiometric and Lean CAI Operations in a 4-Stroke GDI Engine

2006-04-03
2006-01-0417
The Controlled Auto-Ignition (CAI) combustion, also known as Homogeneous Charge Compression Ignition (HCCI) can be achieved by the negative valve overlap method in conjunction with direct injection in a four-stroke gasoline engine. A multi-cycle 3D engine simulation program has been developed and applied to study the effect of injection timing on CAI operations with lean and stoichiometric mixtures. The combustion models used in the present study are based on the modified Shell auto-ignition model and the characteristic-time combustion model. A liquid sheet breakup spray model was used for the droplet breakup processes. Based on the parametric studies on injection timing and equivalence ratio, the major difference between stoichiometric and lean-burn CAI operations is due to the fact that fuel injections take place during the negative valve overlap period.
Technical Paper

Numerical Study of Effects of Fuel Injection Timings on CAI/HCCI Combustion in a Four-Stroke GDI Engine

2005-04-11
2005-01-0144
The Controlled Auto-Ignition (CAI) combustion, also known as Homogeneous Charge Compression Ignition (HCCI) was achieved by trapping residuals with early exhaust valve closure in conjunction with direct injection. Multi-cycle 3D engine simulations have been carried out for parametric study on four different injection timings, in order to better understand the effects of injection timings on in-cylinder mixing and CAI combustion. The full engine cycle simulation including complete gas exchange and combustion processes was carried out over several cycles in order to obtain the stable cycle for analysis. The combustion models used in the present study are the Shell auto-ignition model and the characteristic-time combustion model, which were modified to take the high level of EGR into consideration. A liquid sheet breakup spray model was used for the droplet breakup processes.
Technical Paper

Effects of Intake Valve Timing on Premixed Gasoline Engine with CAI Combustion

2004-10-25
2004-01-2953
3D multi-cycle simulations were carried out to better understand the effects of variable intake valve timings on gas exchange processes, mixing quality and CAI combustion. The full engine cycle simulation including complete gas exchange and combustion processes was carried out over several cycles in order to obtain the stable cycle for analysis. The combustion models used in the present study are shell ignition model and laminar-and- turbulent characteristic time model, which were modified to take the high level EGR into account. After the validation of the model against experimental data, the investigations of the effects of variable intake valve timing strategies on CAI combustion process were carried out. These analyses showed the amount of backflow and flow patterns were dependent on IVO. Late backflow played an important role in improving the mixing quality. Early backflow decreased the mixture temperature at IVC, due to heat loss.
Technical Paper

A New Vibration Diagnosis Method Based on the Neural Network and Wavelet Analysis

2003-03-03
2003-01-0363
A new vibration diagnosis method for diesel engine based on the Neural Network and Wavelet Analysis is proposed in this paper. It is an on-line prognostics and diagnosis technique by picking-up the frequency characters of the vibration signals on the cylinder head or body of diesel engine. The experiments were carried out on the 295 Diesel Engine and a large number of training and testing samples were acquired. The Wavelet Noise Reduction is used to reduce the disturbance of background noises and the Wavelet Decomposition is applied to obtain the relevant characteristic vectors. Then a Radial Basis Function neural network is built. Using the experiment data to train it. After that, the neural network can be used to classify the faults of diesel engine according to the measured vibration signals on the cylinder head. The simulation and experiment results demonstrate that this method can efficiently diagnose and classify the faults.
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