Abstract
Cyclic variations and turbulence characterisation are considered in the context of in-cylinder flows. Three methods of data analysis, namely ensemble averaging, high pass filtering and cycle-by-cycle smoothing, are applied to velocity data obtained by laser Doppler velocimetry in a model axisymmetric and a realistic engine configuration. The interpretation of the results is supported by similar analysis of a steady-state simulation of in-cylinder flow with emphasis on the discrimination between random and deterministic flow variations. The results suggest that it is not always possible to identify cyclic variations as deterministic processes and that turbulence estimates based on filtering techniques may be misleading. The differences in the estimates of mean values are, however, small.
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