Time Resolved PIV Measurements for Validating Les of the Turbulent Flow Within a PCB Enclosure Model

In this paper a novel conditional sampling method based on a fuzzy clustering technique is presented. The technique is applied to the analysis of the large-scale structures of the turbulent flow in an experimental model of a printed circuit board (PCB) enclosing. To overcome the limitations of the conventional (unconditional) time averaging, a set of conditionally sampled averages, or cluster averages, are obtained. Further, the time history of the flow is analysed on the base of this set of cluster averages, yielding time sequence relations among them that simplify their interpretation in terms of flow dynamics. In this way, events of alternate vortex shedding have been identified in the selected portion of the flow.