首页|A COMPUTATIONAL ASSESSMENT OF COMBUSTION SUBMODELS FOR PREDICTIVE SIMULATIONS OF PRE-CHAMBER COMBUSTION ENGINES
A COMPUTATIONAL ASSESSMENT OF COMBUSTION SUBMODELS FOR PREDICTIVE SIMULATIONS OF PRE-CHAMBER COMBUSTION ENGINES
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Pre-chamber combustion (PCC) modeling has been progressing in recent years, while there are lingering questions on fundamental modeling aspects, whether a flame-based or an ignition-based model predicts the combustion with higher fidelity。 This mode of ignition concept is known to enable a stable engine operation at ultralean conditions with a short combustion duration, thus enhancing engine efficiency。 The current work utilizes computational fluid dynamics to assess well-known combustion models: multi-zone well-stirred reactor (MZ-WSR) and G-Equation。 The former models combustion as an ignition-based phenomenon while the latter as a flame propagation type of combustion。 A pre-chamber containing twelve nozzles divided into two layers on a narrow throat was chosen。 The jets from the two layers of nozzles and the local thermodynamic conditions differ substantially, which makes it a suitable configuration for assessing the predictive capabilities of distinct combustion models。 The fuel utilized was methane and the global air-fuel ratio (λ) was varied, ranging from global-λ, of 1。6, 1。8, and 2。0, and the total fuel injected through the pre-chamber was varied for one of the cases (3%, 7%, and 13%)。 The results suggest that both combustion models can potentially match experimental engine performance data upon appropriate calibration; however, fundamental differences in jet topology arise since the G-Equation formulation accounts for turbulence-chemistry interaction, while MZ-WSR does not。
Pre-chamberG-EquationMZ-WSR
Mickael Silva、Xinlei Liu、Ponnya Hlaing、Emre Cenker、James Turner、Hong G. Im