Abstract
A new concept of reduced quasi-dimensional combustion model for a direct injection diesel engine is developed based on the previously developed quasi-dimensional multi-zone model to improve the computational efficiency. In the reduced model, spray penetration and air entrainment are calculated for a number of zones within the spray while three zones with aggregated spray zone concept are used for the calculation of spray combustion and emission formation processes. It is also assumed that liquid phase fuel appears only near the nozzle exit during the breakup period and that spray vaporization is immediate in order to reduce the computational time. Validation of the reduced model with experimental data demonstrated that the new model can predict engine performance and NO and soot emissions reasonably well compared to the original model. With the new concept of reduced model, computational efficiency is significantly improved as much as 200 times compared to the original model.
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Abbreviations
- A :
-
Constant shown in Eqs. (19) and (20)
- B :
-
Constant shown in Eqs. (6) and (7)
- C D :
-
Discharge coefficient
- d :
-
Diameter
- E :
-
Activation energy
- H :
-
Hydrogen
- k :
-
Forward rate constant
- m :
-
Mass
- N :
-
Nitrogen
- NO :
-
Nitric Oxide
- O :
-
Oxygen
- OH :
-
Hydroxyl
- K :
-
Pressure
- R :
-
Chemical reaction rate
- \(\bar R\) :
-
Universal gas constant
- RR :
-
Reaction rate
- S :
-
Spray penetration
- T :
-
Temperature
- t :
-
Time
- u :
-
Velocity
- V :
-
Volume
- x :
-
Mass fraction
- ΔP:
-
Pressure difference
- ρ:
-
Density
- τ:
-
Ignition delay
- a :
-
Air
- b :
-
Breakup
- e :
-
Equilibrium
- exp :
-
Expansion stroke
- f :
-
Fuel
- fv :
-
Fuel vapor
- i :
-
Injection
- l :
-
Liquid
- m :
-
Mixing controlled phase
- mix :
-
Mixture
- n :
-
Nozzle
- ox :
-
Oxygen
- p :
-
Premixed phase
- S :
-
Soot emitted
- sf :
-
Soot formed
- so :
-
Soot oxidized
- z :
-
Zone
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Jung, D., Assanis, D.N. Reduced Quasi-Dimensional Combustion Model of the Direct Injection Diesel Engine for Performance and Emissions Predictions. KSME International Journal 18, 865–876 (2004). https://doi.org/10.1007/BF02990306
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DOI: https://doi.org/10.1007/BF02990306