Turbulence measurements using a nanoscale thermal anemometry probe

Bailey, Sean; Kunkel, Gary J.; Hultmark, Marcus; Vallikivi, Margit; Hill, Jeffrey P.; Meyer, Karl A.; Tsay, Candice; Arnold, Craig B.; Smits, Alexander J.

doi:10.1017/s0022112010003447

Cited by 143 publications

(90 citation statements)

References 24 publications

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“…Bailey et al fabricated a nanoscale Pt hot-wire that measured 100 nm × 2 µm × 60 µm (Figure 7). The small dimensions led to better spatial and frequency responses compared to traditional anemometers [46]. Ito et al added carbon nanotubes to Pt resistors to enhance heat transfer due to flow, thereby increasing sensor sensitivity [28].…”

Section: Thermoresistivementioning

confidence: 99%

Micromachined Thermal Flow Sensors—A Review

2012

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Microfabrication has greatly matured and proliferated in use amongst many disciplines. There has been great interest in micromachined flow sensors due to the benefits of miniaturization: low cost, small device footprint, low power consumption, greater sensitivity, integration with on-chip circuitry, etc. This paper reviews the theory of thermal flow sensing and the different configurations and operation modes available. Material properties relevant to micromachined thermal flow sensing and selection criteria are also presented. Finally, recent applications of micromachined thermal flow sensors are presented. Detailed tables of the reviewed devices are included.

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Section: Thermoresistivementioning

confidence: 99%

Micromachined Thermal Flow Sensors—A Review

2012

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“…By using nanoscale thermal anemometer probes (NSTAPs) (Bailey et al 2010;Vallikivi et al 2011), measurements of the instantaneous velocity in the streamwise direction were obtained. For each wall-normal position, 2.7 3 10 7 samples were acquired with a sample rate of 300 kHz, after first being low-pass filtered at 150 kHz.…”

Section: A Experimental Datamentioning

confidence: 99%

A New Wall Shear Stress Model for Atmospheric Boundary Layer Simulations

Hultmark

Calaf

Parlange

2013

Journal of the Atmospheric Sciences

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A new wall shear stress model to be used as a wall boundary condition for large-eddy simulations of the atmospheric boundary layer is proposed. The new model computes the wall shear stress and the vertical derivatives of the streamwise velocity component by means of a modified, instantaneous, and local law-of-thewall formulation. By formulating a correction for the modeled shear stress, using experimental findings of a logarithmic region in the streamwise turbulent fluctuations, the need for a filter is eliminated. This allows one to model the wall shear stress locally, and at the same time accurately recover the correct average value. The proposed model has been applied to both unique high Reynolds number experimental data and a suite of large-eddy simulations, and compared to previous models. It is shown that the proposed model performs equally well or better than the previous filtered models. A nonfiltered model, such as the one proposed, is an essential first step in developing a universal wall shear stress model that can be used for flow over heterogeneous surfaces, studies of diurnal cycles, or analyses of flow over complex terrain.

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“…Some examples of these facilities are: the Princeton Superpipe (McKeon et al 2003), the national diagnosis facility (NDF) in Illinois (Vinuesa 2013), the minimum turbulence level (MTL) wind tunnel in Stockholm (Österlund 1999) or the high Reynolds number boundary layer wind tunnel (HRNBLWT) in Melbourne (Nickels et al 2007). Other studies use the stable flow conditions present in the atmospheric boundary layer such as, for instance, the salt playa in the Utah dessert (Metzger and Klewicki 2001) or seek the building of new facilities (Talamelli et al 2009) or sensors (Bailey et al 2010).…”

Section: Introductionmentioning

confidence: 99%

On the Formation Mechanisms of Artificially Generated High Reynolds Number Turbulent Boundary Layers

Rodríguez-López

Bruce

Buxton

2016

Boundary-Layer Meteorol

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We investigate the evolution of an artificially thick turbulent boundary layer generated by two families of small obstacles (divided into uniform and non-uniform wall normal distributions of blockage). One-and two-point velocity measurements using constant temperature anemometry show that the canonical behaviour of a boundary layer is recovered after an adaptation region downstream of the trips presenting 150% higher momentum thickness (or equivalently, Reynolds number) than the natural case for the same downstream distance (x ≈ 3 m). The effect of the degree of immersion of the obstacles for h/δ 1 is shown to play a secondary role. The one-point diagnostic quantities used to assess the degree of recovery of the canonical properties are the friction coefficient (representative of the inner motions), the shape factor and wake parameter (representative of the wake regions); they provide a severe test to be applied to artificially generated boundary layers. Simultaneous two-point velocity measurements of both spanwise and wall-normal correlations and the modulation of inner velocity by the outer structures show that there are two different formation mechanisms for the boundary layer. The trips with high aspect ratio and uniform distributed blockage leave the inner motions of the boundary layer relatively undisturbed, which subsequently drive the mixing of the obstacles' wake with the wall-bounded flow (wall-driven). In contrast, the low aspect-ratio trips with non-uniform blockage destroy the inner structures, which are then re-formed further downstream under the influence of the wake of the obstacles (wake-driven).

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Turbulence measurements using a nanoscale thermal anemometry probe

Cited by 143 publications

References 24 publications

Micromachined Thermal Flow Sensors—A Review

Micromachined Thermal Flow Sensors—A Review

A New Wall Shear Stress Model for Atmospheric Boundary Layer Simulations

On the Formation Mechanisms of Artificially Generated High Reynolds Number Turbulent Boundary Layers

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