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Extended Charge Motion Design: CAE Based Prediction of Gasoline Engine Pre-ignition Risk

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Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 190))

Abstract

A simulation model to predict pre-ignition phenomena in spark ignition engines is presented. The model uses a semi-detailed reaction scheme to calculate auto-ignition reactions of the in-cylinder charge at the end of and after the compression stroke. In order to reduce simulation time for the calculation of auto-ignition chemistry, a zonal chemistry approach is employed, which simplifies the description of the thermodynamic engine cylinder state. Auto-ignition of gasoline is modeled by a chemical reaction scheme of a primary reference fuel (PRF). Boundary conditions for the pre-ignition analysis are obtained from flow simulations of the in-cylinder charge motion and mixture formation as well as FE heat load analysis for accurate wall temperature determination. By means of this approach, physical mechanisms due to the influence of hot surfaces are studied. In order to investigate whether lubrication oil from the piston head has the potential to promote auto-ignition events, initial two-phase flow simulation studies are presented. Results of the chemistry predictions are compared to experimental measurements from the single cylinder engine test bench.

F2012-A09-009

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Abbreviations

BDC:

Bottom dead center

°CA:

Degree crank angle

CAE:

Computer aided engineering

CFD:

Computational dynamics

DI:

Direct injection

FEA:

Finite element analysis

HTC:

Heat transfer coefficient

PRF:

Primary reference fuel

SCE:

Single cylinder engine

TDC:

Top dead center

References

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© 2013 Springer-Verlag Berlin Heidelberg

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Ewald, J., Budde, M., Morcinkowski, B., Beykirch, R., Brassat, A., Adomeit, P. (2013). Extended Charge Motion Design: CAE Based Prediction of Gasoline Engine Pre-ignition Risk. In: Proceedings of the FISITA 2012 World Automotive Congress. Lecture Notes in Electrical Engineering, vol 190. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-33750-5_42

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  • DOI: https://doi.org/10.1007/978-3-642-33750-5_42

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-33749-9

  • Online ISBN: 978-3-642-33750-5

  • eBook Packages: EngineeringEngineering (R0)

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