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CALCULATION OF AIRFLOW SPEED FROM A TURBINE WITH AN INTEGRATED LAVAL NOZZLE AT THE OUTLET FOR METAL COATING BY COLD SPRAYING METHOD

2023· article· en· W4387821218 on OpenAlex
Dmitry E. Pisarev, Sergey I. Mitrokhin

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.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueArchitecture Construction Transport · 2023
Typearticle
Languageen
FieldMaterials Science
TopicMaterial Properties and Applications
Canadian institutionsnot available
Fundersnot available
KeywordsNozzleAirflowMechanical engineeringTurbineImpellerCoatingWork (physics)Materials scienceMechanicsEngineeringMarine engineeringPhysicsComposite material

Abstract

fetched live from OpenAlex

The goal of this work was to test the practicability of using a device that provides airflow into the Laval nozzle channel to enable the application of metal coating by cold spraying. A turbine with an integrated Laval nozzle at the outlet was considered as a device to provide airflow into the Laval nozzle channel. The authors describe the equipment used in the calculations and the experimental study, the process of gasdynamic calculation of the output velocity of the airflow injected by the turbine impeller and the results of this calculation with precise indices. As a result, functional dependences of the indicators that provide the possibility of using the turbine as a source of airflow have been obtained, and a conclusion about the inexpediency of using a turbine with an integrated Laval nozzle at the outlet to provide the possibility of metal coating by cold spraying has been formed.

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 categoriesnone
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 score0.082
Threshold uncertainty score0.373

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 head0.015
GPT teacher head0.252
Teacher spread0.237 · 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