2016
DOI: 10.18869/acadpub.jafm.68.235.24663
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Drag Prediction in the Near Wake of a Circular Cylinder based on DPIV Data

Abstract: This study focuses on drag prediction in the near-wake of a circular cylinder by use of mean velocity profiles and discusses the closest location where a wake survey would yield an accurate result. Although the investigation considers both the mean and fluctuating velocities, the main focus is on the mean momentum deficit which should be handled properly beyond a critical distance. Digital Particle Image Velocimetry (DPIV) experiments are performed in a Reynolds number range of 100 to 1250. Wake characteristic… Show more

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Cited by 7 publications
(9 citation statements)
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“…It has a main test section of 790 mm depth and 1010 mm width. Detailed description of the flow facility can be found in Cetiner (2012, 2014), Son and Cetiner (2016). A non-profiled flat plate with rectangular cross section is used in this study considering low manufacturing costs and power extraction enhancement results as demonstrated by Usoh et.…”
Section: Methodsmentioning
confidence: 99%
“…It has a main test section of 790 mm depth and 1010 mm width. Detailed description of the flow facility can be found in Cetiner (2012, 2014), Son and Cetiner (2016). A non-profiled flat plate with rectangular cross section is used in this study considering low manufacturing costs and power extraction enhancement results as demonstrated by Usoh et.…”
Section: Methodsmentioning
confidence: 99%
“…Nowadays, investigations of the aerodynamic characteristics of the different airfoil types at relatively low chord-based Reynolds numbers less than 5×10 5 are becoming more actual from both fundamental and industrial points of view [1]. That is primarily due to the active development of innovations for small wind turbines [2], various types of drones, quadcopters, modern micro-air vehicles, and even biomechanics systems [3].…”
Section: Introductionmentioning
confidence: 99%
“…Besides, the methodology proposed by Antonia and Rajagopalan has also become widely available to assess the drag forces of various streamlined bodies [4]. According to it, the aerodynamic forces can to determined using instantaneous velocity and its derivatives [5]. It allows obtaining drag data without surface instrumentation or external balance mechanism, which is particularly useful for different experimental techniques [6][7][8][9].…”
Section: Introductionmentioning
confidence: 99%
“…The formulation was then applied to complex cases. Drag prediction in the near wake of a circular cylinder based on digital particle image velocimetry (DPIV) data was accomplished by Son and Cetiner [26]. They used mean velocity profiles and investigated the closest station where the wake measurement method yields an accurate result.…”
Section: Introductionmentioning
confidence: 99%