The development of the turbulent flow field inside a spark ignition engine is examined by
large-eddy simulation (LES), from the intake flow to the tumble break-down. Ten consecutive …

In this study, an on-the-fly artificial neural network (ANN) framework has been developed for
the tabulation of chemical reaction terms in direct numerical simulations (DNS) of premixed …

With the increase in computational power in the last decade and the forthcoming Exascale
supercomputers, a new horizon in computational modelling and simulation is envisioned in …

The distribution of the heat flux on the walls in a closed cylinder during the compression of a
non-reactive hydrogen–air mixture is investigated using data from a direct numerical …

Understanding, modeling, and reducing the cycle-to-cycle variability (CCV) of combustion in
internal combustion engines (ICE) is a critical challenge to design engines of high efficiency …

Cyclic variations in diesel engines are undesirable since they are understood to lead to
lower efficiency and higher emissions, as well as power output limitations. This work aims to …

Verification and validation are crucial steps for the development of any numerical model.
While suitable processes have been established for commercial Computational Fluid …

The increasing availability of high-performance computing resources will allow scale-
resolving simulations such as large eddy simulations to be used instead of unsteady …

In this work, the phenomenon of cycle-to-cycle variability (CCV) of combustion in a spark
ignition engine is investigated to give a deeper understanding of CCV generation. The main …

Unsteady wall heat transfer and thermal stratification during the compression stroke under
engine relevant conditions are investigated using direct numerical simulations (DNS). In …