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A Quasi-dimensional Charge Motion and Turbulence Model for Combustion and Emissions Prediction in Diesel Engines with a fully Variable Valve TrainCoupling with Emission Model

A Quasi-dimensional Charge Motion and Turbulence Model for Combustion and Emissions Prediction in... [Following the coupling of the QDM flow model with the combustion model, this chapter integrates the previous work into a phenomenological two-zone emission model for a combined calculation of nitrogen oxide and soot emissions in DI diesel engines [40]. Analogous to Chapter 4, an overview of the emission model is given at first for illuminating the existing interfaces between the QDM flow model and the emission model. After that, modifications are implemented in two aspects relating to turbulence and swirl. At last, the modified emission model is validated using the measurement data obtained in the scope of the FVV project [50].] http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png

A Quasi-dimensional Charge Motion and Turbulence Model for Combustion and Emissions Prediction in Diesel Engines with a fully Variable Valve TrainCoupling with Emission Model

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Publisher
Springer Fachmedien Wiesbaden
Copyright
© The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Fachmedien Wiesbaden GmbH, part of Springer Nature 2022
ISBN
978-3-658-35773-3
Pages
95 –113
DOI
10.1007/978-3-658-35774-0_5
Publisher site
See Chapter on Publisher Site

Abstract

[Following the coupling of the QDM flow model with the combustion model, this chapter integrates the previous work into a phenomenological two-zone emission model for a combined calculation of nitrogen oxide and soot emissions in DI diesel engines [40]. Analogous to Chapter 4, an overview of the emission model is given at first for illuminating the existing interfaces between the QDM flow model and the emission model. After that, modifications are implemented in two aspects relating to turbulence and swirl. At last, the modified emission model is validated using the measurement data obtained in the scope of the FVV project [50].]

Published: Oct 2, 2021

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