2019
DOI: 10.1177/1468087419845823
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Evaluation of zero-dimensional stochastic reactor modelling for a Diesel engine application

Abstract: Prediction of engine-out emissions with high fidelity from in-cylinder combustion simulations is still a significant challenge early in the engine development process. This article contributes to this fast evolving body of knowledge by focusing on the evaluation of NO x emission prediction capability of a probability density function–based stochastic reactor engine models for a Diesel engine. The research implements a systematic approach to the study of the stochastic reactor engine model performance, underpin… Show more

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Cited by 7 publications
(12 citation statements)
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References 38 publications
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“…By entering the experimental combustion data into Equation ( 6), the heat release profile in the engine can be reconstructed as recommended by many authors using the analysis model [11,14,22]. The evolutions of the heat release profile(s) for an engine speed of 1500 rpm correspond to the load ranges: 25%, 50%, 75% and 100%.…”
Section: Modeling Of Zero-dimensional Thermodynamic Combustionmentioning
confidence: 99%
See 1 more Smart Citation
“…By entering the experimental combustion data into Equation ( 6), the heat release profile in the engine can be reconstructed as recommended by many authors using the analysis model [11,14,22]. The evolutions of the heat release profile(s) for an engine speed of 1500 rpm correspond to the load ranges: 25%, 50%, 75% and 100%.…”
Section: Modeling Of Zero-dimensional Thermodynamic Combustionmentioning
confidence: 99%
“…A methodological approach based on the prediction of the ignition delay of diesel engines has been implemented. Hariram et al [14] conducted an investigation, and this experimental and theoretical study addressed the problem related to the effects of beeswax biodiesel mixtures with fossil diesel on combustion parameters. The zero-dimensional thermodynamic model was used as a numerical implementation approach.…”
Section: Introductionmentioning
confidence: 99%
“…Since the zero-dimensional model 29 idealizes the working gas in the cylinder, the gas state satisfies the following equation:…”
Section: Gas State Equationmentioning
confidence: 99%
“…12,13 However, accurate HC, CO and soot prediction is still challenging. 16,17 While the PDF-based SRM solvers demonstrate a good compromise between accuracy and computational time 28,29 to predict engine out emissions, the computation time is still high, and not compatible with the real time and transient simulations across multiple drive cycles at the early stage development process. This limitation could be overcome by employing metamodeling techniques, to replace the SRM solver with surrogate models of adequate fidelity and accuracy.…”
Section: Introductionmentioning
confidence: 99%