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Record W4382025534 · doi:10.4050/f-0079-2023-18147

CH-53K® Supplemental Engine Feed System

2023· article· en· W4382025534 on OpenAlexaff

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldChemical Engineering
TopicAdvanced Combustion Engine Technologies
Canadian institutionsLockheed Martin (Canada)
Fundersnot available
KeywordsAirframeAutomotive engineeringEnvironmental scienceComputer scienceSurvivabilityFuel injectionPropulsionEngineeringAerospace engineering

Abstract

fetched live from OpenAlex

The CH-53K® fuel system employs a unique on-demand Supplemental Engine Feed System (SEFS), which provides regulated pressure to the engine without the use of software or electronic controls. The system balances the engines' need for intermittent fuel boost with the survivability restrictions of a positively pressurized fuel system. Under normal aircraft maneuvering and loading, SEFS provides boost equivalent to a full tank of fuel such that the engine pumps can provide a consistent level of suction even when fuel levels are low. However, with higher airframe g-loading created by certain maneuvers, a second stage activates and further increases pressure boost to prevent any interruption of fuel flow. Upon completion of a high-g maneuver, the SEFS automatically returns to its constant boost mode. SEFS underwent the full developmental lifecycle, beginning as an analytical exercise before progressing through ground testing and in-flight verification.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.807
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)0.0000.001

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 head0.012
GPT teacher head0.238
Teacher spread0.226 · 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 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
Published2023
Admission routes1
Has abstractyes

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