Journal article
Experimental and kinetic modeling study of the effect of fuel composition in HCCI engines
Proceedings of the Combustion Institute, v 32(2), pp 2843-2850
01 Jan 2009
Abstract
The chemical behavior of three different fuel surrogates, containing n-heptane, iso-octane. toluene. and I-pentene. under HCCI conditions is analyzed. New experimental Measurements of the in-cylinder composition have been carried Out oil a running HCCI engine equipped with a special customized cylinder head allowing the direct sampling of the gas.
These data were compared With Calculation obtained from a detailed kinetic mechanism coupled with a 1-D/quasi-D engine model. This model allows to study the autoignition and the combustion behavior of different fuel surrogates. After a preliminary analysis oil the model parameters and of stoichiometry effect, the combustion chemistry of different fuel Surrogates is discussed. Model calculations correctly reproduce the combustion behavior of the three surrogates. Moreover the parametric analysis allowed better interpretation of the engine measurements. The coupled approach adopted in this work showed to be suited to analyze the effect of different fuel formulation and help the synergistic development of both engines and fuels. Published by Elsevier Inc. on behalf of The Combustion Institute.
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Details
- Title
- Experimental and kinetic modeling study of the effect of fuel composition in HCCI engines
- Creators
- Marco Mehl - Politecnico di MilanoTiziano Faravelli - Politecnico di MilanoEliseo Ranzi - Politecnico di MilanoDavid Miller - Drexel UniversityNicholas Cernansky - Drexel University
- Publication Details
- Proceedings of the Combustion Institute, v 32(2), pp 2843-2850
- Publisher
- Elsevier
- Number of pages
- 8
- Grant note
- CMIC Department of Politecnico di Milano
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- [Retired Faculty]; Antoinette Westphal College of Media Arts and Design
- Web of Science ID
- WOS:000264756900144
- Scopus ID
- 2-s2.0-67649289916
- Other Identifier
- 991019168702604721
InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool:
- Collaboration types
- Domestic collaboration
- International collaboration
- Web of Science research areas
- Energy & Fuels
- Engineering, Chemical
- Engineering, Mechanical
- Thermodynamics