Abstract
In industrial applications as well as in scientific research, fluid flows are often utilized to serve diverse functions. The associated physical processes such as those in thermal and fluid engineering, as well as in chemical and biological process controls, constantly require accurate quantifications and optimizations, especially as concerns flow dynamics. The complex flows encountered in diverse industrial applications usually comprise various varieties of turbulent flows, three-dimensional and non-stationary flows, flows with separation and relative eddies, multiphase flows and so forth. To some extent it even deals with non-Newtonian fluid flows. Depending on the application areas and process specifications, most flows are further specified by flow rate, Reynolds number, velocity distribution, turbulence intensity and other relevant flow dynamical parameters. For the flows in heat exchangers, for instance, both the Reynolds number and the related flow state are crucial for the thermal efficiency of the apparatus. In treating flows in aerodynamics the most relevant flow dynamical parameters are directly related to the turbulent boundary layers. Obviously each engineering flow has individual specifications with corresponding flow dynamical parameters. Amongst all of these flows, the flow turbulence acts as the most important and complex phenomenon.
Keywords
- Particle Image Velocimetry
- Particle Image Velocimetry Measurement
- Laser Doppler Anemometry
- Optical Aberration
- Particle Image Velocimetry Method
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
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Zhang, Z. (2010). Introduction. In: LDA Application Methods. Experimental Fluid Mechanics. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-13514-9_1
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DOI: https://doi.org/10.1007/978-3-642-13514-9_1
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