MS3-5 Coupling of G-Equation Combustion Model with Reduced Chemical Kinetics for Knock Prediction in DISI Engines : Combustion and Knock Prediction in Gasoline Engines(MS: Modeling and Simulation,General Session Papers)
-
- Manz Andreas
- Daimler AG, Group Research & Advanced Engineering Powertrain, Department for Combustion & Emission Control (GR
-
- Kruger Christian
- APE)
-
- Mauss Fabian
- Daimler AG, Group Research & Advanced Engineering Powertrain, Department for Combustion & Emission Control (GR
-
- Liang Yongjun
- APE)
-
- Paola Giorgio De
- Chair for Thermodynamics, Brandenburgische Technische Universitat Cottbus
抄録
In this work the G-equation combustion model has been implemented into StarCD code and coupled with an ODE-kinetic solver for predicting knock in a DISI engine based on the Shell autoignition model. The combustion model has been validated for selected engine operating points. A mesh sensitivity analysis highlighting the influences of mesh topology and grid type (hexahedral and polyhedral) is presented. To account for sensitivities of octane number and EGR ratio on knock behaviour, the governing parameters of the Shell model have been identified and optimized with the help of DoE. The knock models presented here can be operated in both a passive and an active way. The validation of both knock models with respect to temporal and local knock onset is done with fibre optical spark plug measurements and evaluation of statistical results of pressure trace analysis for a direct-injection spark-ignition engine. Both passive and active knock model approaches are compared in regards of pros and cons as well as engine performance. Finally the necessity of thin turbulent flame brushes realized with G-equation combustion model and their relevance for knock simulation is discussed.
収録刊行物
-
- The international symposium on diagnostics and modeling of combustion in internal combustion engines
-
The international symposium on diagnostics and modeling of combustion in internal combustion engines 2012.8 (0), 579-584, 2012
一般社団法人 日本機械学会
- Tweet
詳細情報 詳細情報について
-
- CRID
- 1390282680860069888
-
- NII論文ID
- 110009919848
-
- ISSN
- 24242918
-
- 本文言語コード
- en
-
- データソース種別
-
- JaLC
- Crossref
- CiNii Articles
-
- 抄録ライセンスフラグ
- 使用不可