A modified cross-correlation algorithm for PIV image processing of particle-fluid two-phase flow
作者： Baocheng Shi , Jinjia Wei , Mingjun Pang
DOI: 10.1016/J.FLOWMEASINST.2015.06.010
关键词:
摘要: Abstract PIV (Particle Image Velocimetry) technique for flow field measurement has achieved popular self-identify through over ten years development, and its application range is becoming wider wider. post-processing techniques have a great influence on the success of particle-fluid two-phase thus become hot difficult topic. In present study, Phase Respective Identification Algorithm (PRIA) introduced to separate low-density solid particles or bubbles high-density tracer from image flow. PTV Tracking employed calculate velocity fields bubbles. For bubble phase continuous traced by smaller particles, based thought wavelet transform multi-resolution analysis theory cross-correlation image, delaminated processing algorithm (MCCWM) presented conquer limitation conventional Fourier transform. The firstly testified synthetic flows, such as uniform steady flow, shearing rotating computational results simulated particle images are in reasonable agreement with given data. then applied actual bubble-liquid jet also confirmed that proposed study good performance reliability
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