Iterative and non-iterative solutions of engine flows using ASM and k-ε turbulence models
Creators
- 1. Tarbiat Modaress Univ., Mechanical Department, Tehran (Iran, Islamic Republic of)
- 2. National Iranian Oil Co., Petroleum Engineering and Dev. Co., Tehran (Iran, Islamic Republic of)
Description
Various turbulent models are widely developed in order to make a good prediction of turbulence phenomena in different applications. The standard k-ε model shows a poor prediction for some applications. The Reynolds Stress Model (RSM) is expected to give a better prediction of turbulent characteristics, because a separate differential equation for each Reynolds stress component is solved in this model. In order to save both time and memory in this calculation a new Algebraic Stress Model (ASM) which was developed by Lumly et al in 1995 is used for calculations of flow characteristics in the internal combustion engine chamber. With using turbulent realizability principles, this model becomes a powerful and reliable turbulence model. In this paper the abilities of the model is examined in internal combustion engine flows. The results of ASM and k-ε models are compared with the experimental data. It is shown that the poor predictions of k-ε model are modified by ASM model. Also in this paper non-iterative PISO and iterative SIMPLE solution algorithms are compared. The results show that the PISO solution algorithm is the preferred and more efficient procedure in the calculation of internal combustion engine. (author)
Additional details
Publishing Information
- Publisher
- CFD Society of Canada
- Imprint Place
- Ottawa, Ontario (Canada)
- Imprint Title
- Eleventh annual conference of the CFD Society of Canada (CFD 2003). Proceedings
- Imprint Pagination
- 132 Megabytes
- Journal Page Range
- p. 493-500
Conference
- Title
- 11. Annual conference of the CFD Society of Canada
- Acronym
- CFD 2003
- Dates
- 28-30 May 2003
- Place
- Vancouver, BC (Canada)
INIS
- Country of Publication
- Canada
- Country of Input or Organization
- Canada
- INIS RN
- 39121794
- Subject category
- S42: ENGINEERING;
- Resource subtype / Literary indicator
- Conference, Numerical Data, Non-conventional Literature
- Descriptors DEI
- EXPERIMENTAL DATA; FLUID FLOW; INTERNAL COMBUSTION ENGINES; MATHEMATICAL MODELS; REYNOLDS NUMBER; STRESSES; TURBULENT FLOW
- Descriptors DEC
- DATA; DIMENSIONLESS NUMBERS; ENGINES; FLUID FLOW; HEAT ENGINES; INFORMATION; NUMERICAL DATA
Optional Information
- Notes
- 10 refs., 5 tabs., 8 figs.