密度変化を伴う流れ場へのカルマンフィルタ型PTVの適用の可能性の検討

概要

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Recently, many studies have been conducted on velocimetries by which flow field is measured by following tracer particles with CCD cameras, because noncontact measurements are possible at many positions. However, velocity does not correspond to particle speed unless particle diameters are sufficiently small, and measurement error is expected when the density of the tracer particle is different from that of fluid. Therefore, we propose a technique for estimating velocity using a Kalman filter for the case that tracers do not follow the flow. This estimation method is effective even if uncertainty of the particle diameter exists. It is shown that estimation of particle diameter is also possible. However, when fluid density changes, it becomes necessary to consider follow ability. This study focuses on the development of the method of estimating velocity by following several tracers simultaneously in flow fields. Characteristics of this technique have been numerically examined for a flow field that imitates a reciprocating internal combustion engine, and for a shock wave. We found that this new technique is effective in estimating flow velocities and density even if the tracers do not follow the flow.
一般社団法人日本機械学会の論文
1995-10-25