Recent Development and Applications of Particle Image Velocimetry from Laboratory to Industry (Invited)

Particle Image Velocimetry (PIV)has emerged as a major experimental technique for measuring the velocity fields of fluid flows. The approach produces quantitative representations of instantaneous flow patterns which are commonly used to help construct phenomenological models for complicated flows and validate numerical simulations. PIV analysis is beneficial in several fields of experimental fluid mechanics. Two- step processing, namely auto-correlation followed by cross-correlation, has been used as a means of examining spatio- temporal flow evolution. The vorticity measurements and estimates of the accuracy as a function of spatial resolution can be achieved. The development of PIV is linked to the gradual increase in the complexity and difficulty of measuring flow fields. PIV techniques for measurements have developed significantly and new trends have emerged. The key developments are stereoscopic PIV, tomographic PIV, large-scale PIV, micro PIV, 3D PIV, pedestrian PIV and the use of high-temporal/spatialresolution devices. PIV has wide applications in various kinds of research fields, such as medical research, energy fuels, combustion, flow field measurement, real-time process monitoring, structure deformation, irrigation, acoustics, geology, oceanography, water resources, forestry, crowd monitoring, and mining mineral processing. To the best of our knowledge, there have been few literature reviews that comprehensively discuss industrial the aspects of PIV. This review mainly focuses on a comprehensive overview of the development of PIV in the laboratory, which needs to be implemented in industry and daily life by monitoring the real- time process for better understanding. This will lead to fast industrial processing as well as health. Using PIV to replace current analytical imaging techniques with enhanced temporal and special resolution has been discussed. In addition, it also provides a comparison between numerical simulation and previously available analytical techniques with PIV.