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Record W7049408712

Nozzle Testing System for General Electric’s Test and Research Development Centre

2017· report· en· W7049408712 on OpenAlexaboutno aff

Bibliographic record

VenueMspace (University of Manitoba) · 2017
Typereport
Languageen
FieldMaterials Science
TopicElectron and X-Ray Spectroscopy Techniques
Canadian institutionsnot available
Fundersnot available
KeywordsNozzleTroubleshootingConceptual designProcess (computing)Spray nozzleTest (biology)AirflowFrame (networking)Flow (mathematics)
DOInot available

Abstract

fetched live from OpenAlex

This report summarizes a design project initially submitted by General Electric Aviation to address their air atomizing nozzle troubleshooting needs at the Engine Test and Research Development Centre (TRDC) in Winnipeg, MB. Currently, the process to identify defective air atomizing nozzles solely by inspection is overly time consuming and ineffective. Therefore, the project’s objectives were to design a test rig that will streamline the process of identifying defective nozzles, as well as measure the spray pattern output of the nozzles for testing and comparison purposes. The client’s needs for the test rig are for it to provide and control water and air flow to a minimum of one nozzle in a self-contained manner. The water and air flows must be provided at 180qF, and up to a maximum pressure of 100 psig. The rig must also simultaneously collect and record data for the flow properties and the output spray pattern. Project deliverables included in this report are preliminary drawings of the test rig, a parts list with approved vendors, a cost report, and operating instructions. In order to develop a successful design, conceptual design solutions were first generated and screened for feasibility, and then more rigorous part evaluations and design calculations were performed for the selection of the final design components. For both the conceptual and final design stages, the test rig design was broken up into several main categories including the water and air delivery systems, the heating and insulation systems, the measurements and control system, and the overall frame assemblies. For the water delivery system, the selected pump and motor combination is an Oberdorfer R103M rotary gear pump coupled to a half-horsepower Baldor CDP3326 DC motor. The water tank capacity is 50 gallons and is installed on casters to be separately portable from the rest of the rig. An adjustable pressure regulator is included to allow for a variable water pressure supply to the nozzle(s) under test. The piping material for both water and air flows is 304 stainless steel. The selected air compressor for the final design of the air delivery system is Atlas Copco’s oil-injected rotary-screw compressor…

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)0.002
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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.265
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.062
GPT teacher head0.300
Teacher spread0.239 · 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.

Study designBench or experimental
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
Published2017
Admission routes1
Has abstractyes

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