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Soot Emission Modelization of a Diesel Engine from Experimental Data

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Computational Science and Its Applications - ICCSA 2011 (ICCSA 2011)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 6785))

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Abstract

In recent years particulate diesel engines emission analysis has become crucial. Indeed the particulate modelling and experimental analysis has been modest, mostly because the lack of adequate measurement instruments and the greater focus on the efficiency. Today many instruments can measure accurately the soot emissions and numerous models are in developing. This paper shows the experimental results of a soot emission measurement campaign to predict the soot emission based on simple motor data. Different series of tests has been performed at constant speed and variable load to estimate the amount of particulate matter emitted from diesel vehicles based only on the parameters provided by the motor vehicle electronics. Making a simple model based only on the engine load parameter it has been possible to have model cumulative values very coincident to those experimentally determined. However the relevant difference between the instant model values and those experimental determined, highlights that other more complex models have to be made in order to predict correctly the instant particulate emissions.

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© 2011 Springer-Verlag Berlin Heidelberg

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Bocci, E., Rambaldi, L. (2011). Soot Emission Modelization of a Diesel Engine from Experimental Data. In: Murgante, B., Gervasi, O., Iglesias, A., Taniar, D., Apduhan, B.O. (eds) Computational Science and Its Applications - ICCSA 2011. ICCSA 2011. Lecture Notes in Computer Science, vol 6785. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-21898-9_28

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  • DOI: https://doi.org/10.1007/978-3-642-21898-9_28

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-21897-2

  • Online ISBN: 978-3-642-21898-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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