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Record W2232198394 · doi:10.5539/mas.v10n2p172

New Flow Stabilizers as a Method to Improve the Reliability and Efficiency of Power Equipment

2016· article· en· W2232198394 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.

venuePublished in a venue whose home country is Canada.
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

VenueModern Applied Science · 2016
Typearticle
Languageen
FieldEngineering
TopicEngineering Diagnostics and Reliability
Canadian institutionsnot available
FundersMinistry of Education and Science of the Russian Federation
KeywordsReliability (semiconductor)Flow (mathematics)Flow resistancePipeline (software)TurbineComputer scienceEnvironmental sciencePower (physics)Steam turbineReliability engineeringAutomotive engineeringMechanical engineeringMechanicsEngineering

Abstract

fetched live from OpenAlex

<p>This article studies the nature and causes of the dynamic loads exerted by the flow on the walls of the equipment, on an example of a curved component of the steam turbine steam supply system and examines the existing flow stabilizers used to control such loads. Based on the analysis of the shortcomings found in these devices, the article offers new designs of flow stabilizers. The newly developed devices reduce the flow area of the pipeline approximately twice less than the existing ones, so, they were supposed to have much lower hydraulic resistance. The study of the new the flow stabilizers’ efficiency was performed with the use of CFD methods and assessed in comparison with their wide used analogues. Based on the evaluation data, the designed devices provide a comparable level of decrease in dynamic loads, however, they have about five times lower hydraulic resistance. According to their design features, they are also supposed to have better mechanic strength characteristics.</p>

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)0.001
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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.724
Threshold uncertainty score0.318

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 head0.004
GPT teacher head0.227
Teacher spread0.222 · 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