Premium
Computer simulation of turbulence in internal combustion engines
Author(s) -
Shah P.,
Markatos N. C.
Publication year - 1987
Publication title -
international journal for numerical methods in fluids
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.938
H-Index - 112
eISSN - 1097-0363
pISSN - 0271-2091
DOI - 10.1002/fld.1650070905
Subject(s) - turbulence , computation , combustion , diesel engine , mechanics , computational fluid dynamics , compression (physics) , transient (computer programming) , k epsilon turbulence model , flow (mathematics) , cylinder , internal combustion engine , statistical physics , computer science , physics , mechanical engineering , engineering , thermodynamics , algorithm , chemistry , organic chemistry , operating system
The paper presents two‐ and three‐dimensional computations of the in‐cylinder turbulent flow in a diesel engine. The mathematical formulation is presented first, with emphasis on the modifications made to the standard k‐ε model of turbulence, to account for rapid compression/expansion, and on the k‐w model also used in the computations. Then, the results of two‐and three‐dimensional transient calculations are presented and compared with experimental data. It is realized that two‐dimensional computations may be of little value to real engines, which would probably require three‐dimensional analyses. However, two‐dimensional studies are still useful in allowing the testing of new ideas easily and economically. It is concluded that the standard k‐ε model may lead to poor predictions when used for internal combustion (IC) engine simulations, and that the modified model leads to more reasonable length‐scale distributions, and it improves significantly the overall agreement of velocity predictions with experiment. The effect of the k‐ε modification is apparent in both the two‐ and three‐dimensional simulations. It is also demonstrated that the k‐w model provides better turbulence predictions than the unmodified k‐ε model, for the cases considered, and that a similar modification of the k‐w model, to account for rapid compression/expansion, might improve its predictions even further.