Abstract
This paper reports the particle tracking algorithm using a self-organizing map (SOM) developed for 3D-PTV measurement and its performance evaluation in numerical simulations. The algorithm using SOM has high applicability to many engineering problems including the particle identification in a time-series of visualization images with tracer particles. This algorithm has been applied to the two models of the uniform flow in 3D space and the cubic cavity flow obtained by numerical simulation. In the performance tests for the two flow models, the normalized displacement defined for 3D flow is introduced to evaluate the high reliability of the present algorithm in 3D particle tracking. The test results show that the present algorithm can be successfully applied to 3D flow measurements even for higher normalized displacement up to about 3 and the correct ratio of particle tracking in the preset method is influenced mainly by the number of isolated particle images.
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