Author:
Ma Qimin,Lin Yuanwei,Zhang Yang
Abstract
AbstractParticle tracking velocimetry (PTV) algorithm based on the concept of particle cluster is investigated and improved. Firstly, an artificial test flow is constructed, and a dimensionless parameter CPTV is introduced to characterize the difficulty for the PTV reconstruction. Secondly, the heuristics that particle-cluster based algorithms must follow are summarized, and a three-dimensional cluster-based PTV incorporating the Delaunay Tessellation is proposed and tested by using the artificial flow. The criteria property of CPTV is then analysed and verified. Combining the proposed algorithm with a three-dimensional particle detection system, two particle flows are successfully reconstructed, therefore verifying the practicality of the algorithm.
Publisher
Springer Nature Singapore
Reference22 articles.
1. Hassan, Y.A., Canaan, R.E.: Full-field bubbly flow velocity measurements using a multiframe particle tracking technique. Exp. Fluids 12, 49–60 (1991)
2. Boushaki, T., Koched, A., Mansouri, Z., Lespinasse, F.: Volumetric velocity measurements (V3V) on turbulent swirling flows. Flow Meas. Instrum. 54, 46–55 (2017)
3. Adrian, R.J.: Twenty years of particle image velocimetry. Exp. Fluids 39, 159–169 (2005)
4. Westerweel, J., Elsinga, G.E., Adrian, R.: Particle image velocimetry for complex and turbulent flows Annu. Rev. Fluid Mech. 45, 409–436 (2013)
5. Ishima, T.: Fundamentals of Particle Image Velocimetry (PIV). J. Combust. Soc. Jpn 61(197), 224–230 (2019)