A Model for Predicting Turbulent Burning Velocity by using Karlovitz Number and Markstein Number under EGR Conditions
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- Provide download link
- Format
- Price
- Non-members (tax incl.):¥6,600 Members (tax incl.):¥5,280
- Paper/Info type
- SAE Paper
No.2021-01-1146
- Pages
- 1-11(Total 11 p)
- Date of publication
- Sep 2021
- Publisher
- SAE International
- Language
- English
- Event
- SAE Powertrains, Fuels & Lubricants Digital Summit
Detailed Information
Author(E) | 1) Kei Yoshimura, 2) Kohei Ozawa, 3) Kyohei Yamaguchi, 4) Ratnak Sok, 5) Jin Kusaka, 6) Masaaki Togawa, 7) Satoshi Tokuhara |
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Affiliation(E) | 1) Waseda University, 2) Waseda University, 3) Waseda University, 4) Waseda University, 5) Waseda University, 6) SUZUKI MOTOR CORPORATION, 7) SUZUKI MOTOR CORPORATION |
Abstract(E) | The purpose of this paper is to build up a model for predicting turbulent burning velocity which can be used for One-Dimensional (1D) engine simulation. This paper presents the relationship between turbulent burning velocity, the Karlovitz number, and the Markstein number for building up the prediction model. The turbulent burning velocity was measured using a single-cylinder gasoline engine, which has an external Exhaust Gas Recirculation (EGR) system. In the experiment, various engine operating parameters, e.g. engine loads and EGR rates, and various engine specifications, i.e. different types of intake ports were tested. The Karlovitz number was calculated using Three-Dimensional Computational Fluid Dynamics (3D-CFD) and detailed chemical kinetics simulation with a premixed laminar flame model. The Markstein number was also calculated using detailed chemical kinetics simulation with the Extinction of Opposed-flow Flame model. The conditions of these simulations were set based on the experimental result. The experimental and calculation results show that the predicting accuracy of the turbulent burning velocity improves by using the Karlovitz number and the Markstein number in highly diluted conditions. It is hence important to take the effect of the flame stretch rate and the sensitivity of local burning velocity to flame stretch into account for the prediction. |