Calibration and Use of n-Hole Velocity Probes

Shaw-Ward, Samantha; Titchmarsh, Alex; Birch, David M.

doi:10.2514/1.j053130

Cited by 24 publications

(13 citation statements)

References 24 publications

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“…Estimates of velocity were obtained from the data set using the resultant calibrated regression model, and the mean square error between the actual and predicted outputs was 0.0165%. This is a significant improvement on the mean-square error of 1.88% obtained using a polynomial fit and a 7-dimensional lookup table (8), and is significantly less than the reported uncertainty in the dependent variables: (α and β , for example, were accurate to within ± 0.2 • ).…”

Section: Elastic Mapmentioning

confidence: 75%

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Neural-Network-Based Sensor Data Fusion for Multi-Hole Fluid Velocity Probes

2020

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For measuring three components of velocity in unknown flow fields, multi-hole pressure probes possess a significant advantage. Unlike methods such as hot-wire anemometry, laser-Doppler velocimetry and particle-image velocimetry, multi-hole pressure probes can provide not only the three components of local velocity, but also static and stagnation pressures. However, multi-hole probes do require exhaustive calibration. The traditional technique for calibrating these probes is based on either look-up tables or polynomial curve fitting, but with the low cost and easy availability of powerful computing resources, neural networks are increasingly being used. Here, we explore the possibility to further reduce measurement uncertainty by implementing neural-networkbased methods that have not been previously used for probe calibration, including supervised and unsupervised learning neural networks, regression models and elastic-map methods. We demonstrate that calibrating probes in this way can reduce the uncertainty in flow angularity by as much as 50% compared to conventional techniques.

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Section: Elastic Mapmentioning

confidence: 75%

“…The velocity magnitude may then be obtained from eq. 2, and the velocity components obtained from trigonometry (see (8) for a detailed description of the technique).…”

Section: A Multi-hole Velocity Probesmentioning

confidence: 99%

Neural-Network-Based Sensor Data Fusion for Multi-Hole Fluid Velocity Probes

2020

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“…The 7HP had not been calibrated prior to the EMPAS test, so translation from the 7 pressures values to flow velocity components (u,v,w) was not possible at the time of the test. However, following on from the EMPAS project, the probe has subsequently been initially calibrated in a low-speed tunnel at Surrey using an automated calibration technique [7,8]. This calibration allows individual velocity components to be determined in hindsight from the EMPAS data.…”

Section: Integrated Digital 7-hole Probe Systemmentioning

confidence: 99%

Flow Measurement Technologies and Supporting Research in the EMPAS Project

Doherty

2021

Aiaa Aviation 2021 Forum

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“…In addition to LDA measurements, a digital seven-hole probe system (Surrey Sensors Ltd. model ID7HP-050K [18] [20]) was used for downstream wake measurements at stations v) and II as well as 40 diameters downstream. The combination of multi-hole probe and LDA velocimetry allows for a more extensive investigation of the flow field.…”

Section: Fig 3 Schematic Of Pressure Taps For 20° and 30° Configurationmentioning

confidence: 99%

Experimental and Computational Investigation for In-Line Boundary Layer Ingestion

Kob

Doherty

Birch

2019

AIAA Aviation 2019 Forum

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The aerodynamic characteristics of an aft-body, in-line mounted, boundary layer ingesting, electric ducted fan, propulsion installation system has been investigated through experimental and computational analysis. A modular wind-tunnel model allows variation in the geometry of the propulsion installation system to be assessed, in combination with fan speed. Various experimental measurement techniques, including LDA, seven-holeprobe and surface pressures are employed. The propulsion installation system has also been investigated using RANS CFD and comparison with experimental data is presented. An investigation of the boundary conditions for efficiently representing the fan in CFD is described. Initial results show reasonably good agreement between CFD and experiment, in terms of velocity profiles and surface pressures, but highlight remaining differences for cases exhibiting flow separation.

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Calibration and Use of n-Hole Velocity Probes

Abstract: A generalized calibration process is presented for multi-hole, pressure-based velocity probes which is independent of the number of holes and probe geometry,

Cited by 24 publications

References 24 publications

Neural-Network-Based Sensor Data Fusion for Multi-Hole Fluid Velocity Probes

Neural-Network-Based Sensor Data Fusion for Multi-Hole Fluid Velocity Probes

Flow Measurement Technologies and Supporting Research in the EMPAS Project

Experimental and Computational Investigation for In-Line Boundary Layer Ingestion

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