1997Transactions of the Society of Instrument and Control EngineersOpen access

Application of Genetic Algorithm to Particle Image Velocimetry

Hidemi Yamada, Kazuhiro Yamane

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Abstract

A new image velocimetry which measures velocity distributions from dynamic image of visualized flow field was utilized by applying a genetic algorithm to a velocimetry based on a tracking of particles image pattern. It was demonstrated by measuring velocity vectors around a circular cylinder that the new image velocimetry was effective.

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A new image velocimetry which measures velocity distributions from dynamic image of visualized flow field was utilized by applying a genetic algorithm to a velocimetry based on a tracking of particles image pattern. It was demonstrated by measuring velocity vectors around a circular cylinder that the new image velocimetry was effective.

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Available abstract

A new image velocimetry which measures velocity distributions from dynamic image of visualized flow field was utilized by applying a genetic algorithm to a velocimetry based on a tracking of particles image pattern. It was demonstrated by measuring velocity vectors around a circular cylinder that the new image velocimetry was effective.

Key concepts: Particle tracking velocimetry, Particle image velocimetry, Velocimetry, Image (mathematics), Acoustic Doppler velocimetry, Genetic algorithm, Physics, Algorithm

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