Implementation of the Semi Empirical Kinetic Soot Model Within Chemistry Tabulation Framework for Efficient Emissions Predictions in Diesel Engines
| Autor: | Manolis Gavaises, Dmitry Goryntsev, Peter Priesching, Ferry Tap, Anton Starikov, Mijo Tvrdojevic, Milan Vujanović |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2019 |
| Předmět: |
Work (thermodynamics)
diesel combustion TL 020209 energy soot modelling QC1-999 General Physics and Astronomy Computational Fluid Dynamics Flamelet Generated Manifold Diesel combustion Soot modelling 02 engineering and technology computational fluid dynamics Computational fluid dynamics medicine.disease_cause Combustion Diesel fuel 020401 chemical engineering 0202 electrical engineering electronic engineering information engineering medicine flamelet generated manifold 05.70.-a 0204 chemical engineering Process engineering business.industry 47.11.-j Physics Soot Power (physics) Variable (computer science) Internal combustion engine business |
| Zdroj: | Open Physics, Vol 17, Iss 1, Pp 905-915 (2019) |
| ISSN: | 2391-5471 |
| Popis: | Soot prediction for diesel engines is a very important aspect of internal combustion engine emissions research, especially nowadays with very strict emission norms. Computational Fluid Dynamics (CFD) is often used in this research and optimisation of CFD models in terms of a trade-off between accuracy and computational efficiency is essential. This is especially true in the industrial environment where good predictivity is necessary for engine optimisation, but computational power is limited. To investigate soot emissions for Diesel engines, in this work CFD is coupled with chemistry tabulation framework and semi-empirical soot model. The Flamelet Generated Manifold (FGM) combustion model precomputes chemistry using detailed calculations of the 0D homogeneous reactor and then stores the species mass fractions in the table, based on six look-up variables: pressure, temperature, mixture fraction, mixture fraction variance, progress variable and progress variable variance. Data is then retrieved during online CFD simulation, enabling fast execution times while keeping the accuracy of the direct chemistry calculation. In this work, the theory behind the model is discussed as well as implementation in commercial CFD code. Also, soot modelling in the framework of tabulated chemistry is investigated: mathematical model and implementation of the kinetic soot model on the tabulation side is described, and 0D simulation results are used for verification. Then, the model is validated using reallife engine geometry under different operating conditions, *Corresponding Author: Mijo Tvrdojevic: Mijosoft, Croatia ; Email: mijo@mijosoft.net Milan Vujanovic: Zagreb University, Croatia Peter Priesching: AVL List GmbH, Austria Ferry A. Tap, Anton Starikov, Dmitry Goryntsev: AVL Dacolt BV, Netherlands Manolis Gavaises: City University, United Kingdom of Great Britain and Northern Ireland where better agreement with experimental measurements is achieved, compared to the standard implementation of the kinetic soot model on the CFD side. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|