2022
DOI: 10.1007/s12650-021-00824-5
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Phase evolution of flow controlled by synthetic jets over NACA 0025 airfoil

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Cited by 13 publications
(2 citation statements)
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“…Most open-source PIV algorithms are primarily developed for central processing units (CPUs) and leverage multiple cores and multiprocessing to accelerate calculations. In contrast, there are relatively fewer implementations optimized for GPUs [8,18]. GPU implementations have the potential to outpace their CPU counterparts and are essential for real-time PIV processing.…”
Section: Introductionmentioning
confidence: 99%
“…Most open-source PIV algorithms are primarily developed for central processing units (CPUs) and leverage multiple cores and multiprocessing to accelerate calculations. In contrast, there are relatively fewer implementations optimized for GPUs [8,18]. GPU implementations have the potential to outpace their CPU counterparts and are essential for real-time PIV processing.…”
Section: Introductionmentioning
confidence: 99%
“…Amitay and Glezer [16] showed that when the excitation frequency matches the frequency of the wake instability, unsteady flow reattachment over an aerofoil can be achieved via large-scale vortices that attract the flow towards the trailing edge of the aerofoil. On the other hand, when the excitation frequency matches the frequency of the shear-layer instability-which is approximately one order of magnitude higher than the frequency of the wake instability-flow control is achieved by the induction of small-scale vortices that may suppress the flow separation in a large eddy sheet or the separated layer [17]. Moreover, for efficient SJA performance it is suggested to use an excitation frequency that maximises the mean jet velocity injected into the crossflow to magnify the momentum flux into the crossflow [18].…”
Section: Introductionmentioning
confidence: 99%