2014
DOI: 10.1007/s11433-014-5462-9
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Accurate measurement of wall skin friction by single-pixel ensemble correlation

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Cited by 18 publications
(10 citation statements)
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References 27 publications
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“…Obviously, how to determine  u accurately is extremely important. Unfortunately, despite loads of researches [36][37][38][39][40] in recent years, it is still a big challenge for fluid mechanics community. The logarithmic law profile of streamwise mean velocity can be expresses as…”
Section: Turbulence Statisticmentioning
confidence: 99%
“…Obviously, how to determine  u accurately is extremely important. Unfortunately, despite loads of researches [36][37][38][39][40] in recent years, it is still a big challenge for fluid mechanics community. The logarithmic law profile of streamwise mean velocity can be expresses as…”
Section: Turbulence Statisticmentioning
confidence: 99%
“…When the ensemble size is above 1000, the relative error is about 1%, while the ensemble size of image samples exceeds 2000, the relative error will be below 0.1%. [27] 034703-2 The flow parameters of the boundary layer are listed in Table 1. The log-law constants of mean velocity profile κ = 0.41 and B = 5.0.…”
Section: Methodsmentioning
confidence: 99%
“…[24,25] Own to the high spatial resolution, the SPEC can measure the mean velocity profile in the viscous sublayer, and get a reliable value of skin-friction drag by estimating the slope of the mean streamwise velocity profile in the viscous sublayer. [26,27] The more details of SPEC can be referred to Westerweel et al [24] and Kähler et al [25] The objective of the present study is to explore the influence of UMZs on the skin-friction drag and to examine the statistic characteristics of UMZs within the TBL. The experimental dataset analyzed in this work was obtained from time-resolved particle image velocimetry (TRPIV).…”
Section: Introductionmentioning
confidence: 99%
“…[25] Previous studies have concluded that circular synthetic jet can produce drag reduction effect and periodically generate hairpin vortex structure. In this paper, the time-resolved particle image velocimetry (TR-PIV) system is utilized to implement the quantitative measurements of the flow field under the influence of the synthetic jet actuator (SJA), and the wall friction velocity is calculated by the single-pixel ensemble correlation [26,27] (SPEC). The velocity fields of streamwisewall-normal plane and streamwise-spanwise plane are collected, and then the generation process of hairpin vortex and the drag reduction mechanism of synthetic jet in these two planes are studied.…”
Section: Introductionmentioning
confidence: 99%