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Improvement and experimental validation of a multi-zone model for combustion and NO emissions in CNG fueled spark ignition engine

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Abstract

This article reports the experimental and theoretical results for a spark ignition engine working with compressed natural gas as a fuel. The theoretical part of this work uses a zero-dimensional, multi-zone combustion model in order to predict nitric oxide (NO) emission in a spark ignition (SI) engine. The basic concept of the model is the division of the burned gas into several distinct zones for taking into account the temperature stratification of the burned mixture during combustion. This is especially important for accurate NO emissions predictions, since NO formation is strongly temperature dependent. During combustion, 12 products are obtained by chemical equilibrium via Gibbs energy minimization method and nitric oxide formation is calculated from chemical kinetic by the extended Zeldovich mechanism. The burning rate required as input to the model is expressed as a Wiebe function, fitted to experimentally derived burn rates. The model is validated against experimental data from a four-cylinder, four-stroke, SI gas engine (EF7) running with CNG fuel. The calculated values for pressure and nitric oxide emissions show good agreement with the experimental data. The superiority of the multizone model over its two-zone counterpart is demonstrated in view of its more realistic in-cylinder NO emissions predictions when compared to the available experimental data.

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Correspondence to Omid Asgari.

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Recommended by Associate Editor Kyoung Dong Min

Omid Asgari is currently a Ph.D student at the School of Mechanical Engineering at Sharif University of Technology in Tehran, Iran. His research interests include internal combustion engines, thermodynamics, heat transfer, combustion, micro fluid and renewable energies.

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Asgari, O., Hannani, S.K. & Ebrahimi, R. Improvement and experimental validation of a multi-zone model for combustion and NO emissions in CNG fueled spark ignition engine. J Mech Sci Technol 26, 1205–1212 (2012). https://doi.org/10.1007/s12206-012-0229-6

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  • DOI: https://doi.org/10.1007/s12206-012-0229-6

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