Machine learning is an established and frequently used technique in industry and
academia, but a standard process model to improve success and efficiency of machine …

To adequately elucidate the complex in-cylinder flow structures and its underlying effects on
the thermal processes inside an internal combustion engine (ICE) has long been a daunting …

A combined numerical and experimental investigation is carried out to analyze the cycle-to-
cycle variations (CCV) in an optically accessible spark-ignition engine with port fuel …

Cyclic variability is investigated in an optically accessible single-cylinder spark-ignition
research engine by introducing artificial exhaust gas in controlled amounts to the …

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 …

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 …

Multi-cycle large-eddy simulations (LES) are performed to investigate combustion cycle-to-
cycle variability (CCV) in a gasoline spark ignited optical access engine operating under …

The complex vortex flow interactions are critical to affect the fuel–air mixing and combustion
stability in direct-injection engine. However, due to the strong cyclic variations inside engine …

The development of internal combustion engines is affected by the exhaust gas emissions
legislation and the striving to increase performance. This demands for engine-out emission …

In this study, a method which allows for causal backtracing of turbulent flow phenomena is
suggested. Key events in technical processes based on turbulent mixing can thereby be …