A Model for Predicting Turbulent Burning Velocity by using Karlovitz Number and Markstein Number under EGR Conditions

Kei Yoshimura*, Kohei Ozawa, Kyohei Yamaguchi, Ratnak Sok, Jin Kusaka, Masaaki Togawa, Satoshi Tokuhara

*この研究の対応する著者

研究成果査読

抄録

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.

本文言語English
ジャーナルSAE Technical Papers
2021
DOI
出版ステータスPublished - 2021 9 21
イベントSAE 2021 Powertrains, Fuels and Lubricants Digital Summit, FFL 2021 - Virtual, Online, United States
継続期間: 2021 9 282021 9 30

ASJC Scopus subject areas

  • 自動車工学
  • 安全性、リスク、信頼性、品質管理
  • 汚染
  • 産業および生産工学

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