Pressure Measurement Systems

McKeon, Beverley; Engler, Rolf

doi:10.1007/978-3-540-30299-5_4

Cited by 5 publications

(3 citation statements)

References 92 publications

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“…The post-processing stage corrects the pressure measurements for a set of perturbing effects, such as the size and depth of the pressure-taps, the presence of burrs on their edges or the length of the pneumatic lines, according to Tropea et al [45].…”

Section: P − X ′ Curve Protocolmentioning

confidence: 99%

Experimental assessment of scale-effects on the aerodynamic characterization of a transitionally-operating airfoil working under clean flow conditions

et al. 2022

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Section: P − X ′ Curve Protocolmentioning

confidence: 99%

Experimental assessment of scale-effects on the aerodynamic characterization of a transitionally-operating airfoil working under clean flow conditions

et al. 2022

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“…McKeon and Engler [13] provide a comprehensive description on the theory of PSP and its use in experimental fluid dynamics. PSPs comprise dye molecules ('luminophores') contained in a binder that permeates oxygen.…”

Section: Pressure-sensitive Paint (Psp)mentioning

confidence: 99%

“… Temperatureof all the factors considered by the authors, temperature was found to have the greatest impact on measurement uncertainty. McKeon and Engler [13] suggest that for some PSPs the error in measured pressure can be as high as 5% per °C deviation from the baseline calibration temperaturecareful temperature control is therefore essential in experiments using PSP.…”

Section: Pressure-sensitive Paint (Psp)mentioning

confidence: 99%

Use of vapochromic crystals to measure the concentration of a gaseous throughflow at the solid-fluid interface

Sangan

Pountney

Scobie

et al. 2018

International Journal of Heat and Mass Transfer

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Using uncertainty to improve pressure field reconstruction from PIV/PTV flow measurements

2020

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A novel uncertainty-based pressure reconstruction method is proposed to evaluate the instantaneous pressure fields from velocity fields measured using particle image velocimetry (PIV) or particle tracking velocimetry (PTV). First, the pressure gradient fields are calculated from velocity fields, while the local and instantaneous pressure gradient uncertainty is estimated from the velocity uncertainty using a linear-transformation based algorithm. The pressure field is then reconstructed by solving an overdetermined linear system which involves the pressure gradients and boundary conditions. This linear system is solved with generalized least-squares (GLS) which incorporates the previously estimated variances and covariances of the pressure gradient errors as inverse weights to optimize the reconstructed pressure field. The method was validated with synthetic velocity fields of a 2D pulsatile flow and the results show significantly improved pressure accuracy with an error reduction of as much as 250% compared to the existing baseline method of solving the pressure Poisson equation (PPE). The GLS was more robust to the velocity errors and provides greater improvement with spatially correlated velocity errors. For experimental validation, the volumetric pressure fields were evaluated from a laminar pipe flow velocity field measured using 3D PTV. The GLS reduced the median absolute pressure errors by as much as 96%.

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Pressure Measurement Systems

Cited by 5 publications

References 92 publications

Experimental assessment of scale-effects on the aerodynamic characterization of a transitionally-operating airfoil working under clean flow conditions

Experimental assessment of scale-effects on the aerodynamic characterization of a transitionally-operating airfoil working under clean flow conditions

Use of vapochromic crystals to measure the concentration of a gaseous throughflow at the solid-fluid interface

Using uncertainty to improve pressure field reconstruction from PIV/PTV flow measurements

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