Dual injection homogeneous charge compression ignition engine simulation using a stochastic reactor model

Forskningsoutput: TidskriftsbidragArtikel i vetenskaplig tidskrift

Standard

Dual injection homogeneous charge compression ignition engine simulation using a stochastic reactor model. / Mosbach, S.; Su, H.; Kraft, M.; Bhave, A.; Mauss, Fabian; Wang, Z.; Wang, J-X.

I: International Journal of Engine Research, Vol. 8, Nr. 1, 2007, s. 41-50.

Forskningsoutput: TidskriftsbidragArtikel i vetenskaplig tidskrift

Harvard

APA

CBE

MLA

Vancouver

Author

Mosbach, S. ; Su, H. ; Kraft, M. ; Bhave, A. ; Mauss, Fabian ; Wang, Z. ; Wang, J-X. / Dual injection homogeneous charge compression ignition engine simulation using a stochastic reactor model. I: International Journal of Engine Research. 2007 ; Vol. 8, Nr. 1. s. 41-50.

RIS

TY - JOUR

T1 - Dual injection homogeneous charge compression ignition engine simulation using a stochastic reactor model

AU - Mosbach, S.

AU - Su, H.

AU - Kraft, M.

AU - Bhave, A.

AU - Mauss, Fabian

AU - Wang, Z.

AU - Wang, J-X

PY - 2007

Y1 - 2007

N2 - Multiple direct injection (MDI) is a promising strategy to enable fast-response ignition control as well as expansion of the homogeneous charge compression ignition (HCCI) engine operating window, thus realizing substantial reductions of soot and NOx emissions. The present paper extends a zero-dimensional-probability-density-function-based stochastic reactor model (SRM) for HCCI engines in order to incorporate MDI and an improved turbulent mixing model. For this, a simplistic spray model featuring injection, penetration, and evaporation sub-models is formulated, and mixing is described by the Euclidean minimal spanning tree (EMST) sub-model accounting for localness in composition space. The model is applied to simulate a gasoline HCCI engine, and the in-cylinder pressure predictions for single and dual injection cases show a satisfactory agreement with measurements. From the parametric studies carried out it is demonstrated that, as compared with single injection, the additional second injection contributes to prolonged heat release and consequently helps to prevent knock, thereby extending the operating range on the high load side. Tracking the phase space trajectories of individual stochastic particles provides significant insight into the influence of local charge stratification owing to direct injection on HCCI combustion.

AB - Multiple direct injection (MDI) is a promising strategy to enable fast-response ignition control as well as expansion of the homogeneous charge compression ignition (HCCI) engine operating window, thus realizing substantial reductions of soot and NOx emissions. The present paper extends a zero-dimensional-probability-density-function-based stochastic reactor model (SRM) for HCCI engines in order to incorporate MDI and an improved turbulent mixing model. For this, a simplistic spray model featuring injection, penetration, and evaporation sub-models is formulated, and mixing is described by the Euclidean minimal spanning tree (EMST) sub-model accounting for localness in composition space. The model is applied to simulate a gasoline HCCI engine, and the in-cylinder pressure predictions for single and dual injection cases show a satisfactory agreement with measurements. From the parametric studies carried out it is demonstrated that, as compared with single injection, the additional second injection contributes to prolonged heat release and consequently helps to prevent knock, thereby extending the operating range on the high load side. Tracking the phase space trajectories of individual stochastic particles provides significant insight into the influence of local charge stratification owing to direct injection on HCCI combustion.

KW - stochastic

KW - homogeneous charge compression ignition

KW - dual injection

KW - reactor models

U2 - 10.1243/14680874JER01806

DO - 10.1243/14680874JER01806

M3 - Article

VL - 8

SP - 41

EP - 50

JO - International Journal of Engine Research

JF - International Journal of Engine Research

SN - 1468-0874

IS - 1

ER -