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Record W3162115923

Design of a Primary Test Calibration System for Price Industries' Testing Department

2019· article· en· W3162115923 on OpenAlexaboutno aff
Bingsheng Xi, Lynn Le, Kamalpreet Singh Gill, Andrew Saygnavong

Bibliographic record

VenueMspace (University of Manitoba) · 2019
Typearticle
Languageen
FieldEngineering
TopicIndustrial Vision Systems and Defect Detection
Canadian institutionsnot available
Fundersnot available
KeywordsTest (biology)CalibrationReliability engineeringComputer scienceEngineeringStatisticsMathematics
DOInot available

Abstract

fetched live from OpenAlex

Price Industries is an international manufacturer of commercial air circulation products headquartered in Winnipeg, Manitoba, Canada. These products come in all forms such diffusers, noise dampers, and fan coils. One of the best testing facilities at Price Industries is also located in Winnipeg, Manitoba: The Price Research Center North. This facility contains various testing rooms and systems for all sorts of air distribution products. The overall objective of this project is to design a primary test calibration system that can calibrate the flow rate meters attached to each test rig to eliminate the need to outsource the flow rate meter calibrations. The final design of the primary test calibration system uses the displacement of a piston through a hydraulic cylinder to measure the volumetric flow rate with a high accuracy ultrasonic sensor. Actuating valves controlled through a microcontroller sequentially open and close valves to allow for fluid to flow into the tank. A total of four electronic actuating valve control which portion of the fluid can enter and exit the tank. As fluid flows into one end of the tank, the piston will be moved, and the displacement is measured through an ultrasonic sensor. The ultrasonic sensor is placed on a plate at the end of the piston rod outside of the tank to measure the distance between the sensor and sensor lid. Through the use of both temperature and pressure sensors, the microcontroller will be able to determine when the system has reached a steady state to begin calibrations, as well as control the actuating valves to allow fluid to move the piston back in the other direction. The microcontroller takes the readings from all the sensors and calculates the flow rate of the system and outputs the results. The primary test calibration system is 62.2” x 28.4” x 26.0” in size and is able to accommodate fluid flow ranging from 1 Gal/min to 60 Gal/min with an accuracy within 0.116%. The total cost of the design is $11,800 and the total weight of the design is 389lbs. In this report, the entire design process can be found […]

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.

How this classification was reachedexpand

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.370
Threshold uncertainty score0.453

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
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 head0.031
GPT teacher head0.182
Teacher spread0.150 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designSimulation or modeling
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2019
Admission routes1
Has abstractyes

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