1 option
A Comparison of Combustion Temperature Models for Ionization Current Modeling in an SI Engine Signals and Systems Chalmers University of Technology Mecel AB
- Format:
- Conference/Event
- Author/Creator:
- Andersson, Ingemar, author.
- Conference Name:
- SAE 2004 World Congress & Exhibition (2004-03-08 : Detroit, Michigan, United States)
- Language:
- English
- Physical Description:
- 1 online resource
- Place of Publication:
- Warrendale, PA SAE International 2004
- Summary:
- Combustion temperature models for spark ignited engines are investigated in this work. The temperature models are evaluated as sub-models of a model for the thermal part of ionization current.Three different combustion temperature models were investigated; a single-zone model, a mixed two-zone model and an unmixed two-zone called a kernel-zone model. The combustion temperature is derived from cylinder pressure. The ionization current model structure also contain sub-models for formation of nitric oxide (NO) and its thermal ionization. The model output is compared to the measured ionization currents with respect to peak amplitude and position.Also, two models for NO formation are evaluated. The first is a fixed NO molar fraction model and the second is a reaction rate controlled NO formation model based on the extended Zeldovich reaction scheme.It is shown that a kernel-zone model shows better performance in both peak amplitude and peak position than both the single-zone model and the mixed two-zone model. Both NO formation models showed equal performance for high temperature combustion but the rate controlled NO model can make an important contribution in cases with lower combustion temperatures
- Notes:
- Vendor supplied data
- Publisher Number:
- 2004-01-1465
- Access Restriction:
- Restricted for use by site license
The Penn Libraries is committed to describing library materials using current, accurate, and responsible language. If you discover outdated or inaccurate language, please fill out this feedback form to report it and suggest alternative language.