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Record W3200941630 · doi:10.32393/csme.2021.69

Development On Clamp On Ultrasonic Flowmeters

2021· article· en· W3200941630 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueProgress in Canadian Mechanical Engineering. Volume 4 · 2021
Typearticle
Languageen
FieldEngineering
TopicFlow Measurement and Analysis
Canadian institutionsWestern University
Fundersnot available
KeywordsClampUltrasonic sensorComputer scienceAcousticsComputer graphics (images)Physics

Abstract

fetched live from OpenAlex

Clamp on ultrasonic flowmeters, placed on the outside of a pipe, may be used to determine the liquid flow rate within the pipe. Two important factors that cause uncertainty in the measurements are flow profile distortion due to upstream pipe disturbances and corrosion and fouling of the inside wall of the pipe. Previous research has been carried out to estimate safe installation distances of the flowmeter from the upstream disturbances but, practically, there could be scenarios where such a safe installation is not possible. In such cases, flow profile correction factors have been estimated which cannot be applied with certainty in every installation. The basis of the present research is simulation of the operation of a clamp on ultrasonic flowmeter, coupled with the fluid flow in a pipe, with imposed upstream disturbances, using the software COMSOL. This research is intended to address a gap in the available literature. An ultrasonic flowmeter works on the principle of measuring the time of flight of the two ultrasonic signals generated by the transducer and receiver. The delay in the upstream and downstream moving signals is estimated and used to calculate the flow velocity. The fluid flow is simulated by solving Reynolds-Averaged Navier-Stokes and Continuity equations using the k- turbulence model closure. The finite element method (FEM) is used to model the dynamics of the piezoelectric transducers of the flowmeter. Finally, the propagation of the ultrasonic waves is modelled using the Convected wave equation model which solves the linearized Euler equations also referred to as linear acoustic equations for moving media. When the flow profile is disturbed, due to any upstream pipe condition, a correction factor can be estimated for that specific case at various flow rates. All the numerical cases are compared and analyzed in conjunction with experimental data obtained from a liquid flow facility having similar upstream pipe conditions. The measurements from a clamp on ultrasonic flow meter installed in the rig are compared with those from a Venturi tube flow meter and from an inline ultrasonic flow meter. It is intended that this research will help increase the use of ultrasonic flowmeters in the industrial and residential sectors with reduced uncertainty, thereby benefitting from their ease of installation and lower operating costs.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.398
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.011
GPT teacher head0.198
Teacher spread0.186 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it