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Record W2001653310 · doi:10.1115/gt2010-23402

Limited Qualification Tests of an F404 Engine With Blended Fischer Tropsch SPK and NATO F-34 Fuel

2010· article· en· W2001653310 on OpenAlexafffundabout
Rastko Hadzic, Jeffrey Bird, Wajid A. Chishty, D E Little, Pierre Poitras

Bibliographic record

VenueVolume 1: Aircraft Engine; Ceramics; Coal, Biomass and Alternative Fuels; Education; Electric Power; Manufacturing Materials and Metallurgy · 2010
Typearticle
Languageen
FieldEngineering
TopicRocket and propulsion systems research
Canadian institutionsCommunications Security EstablishmentDepartment of National DefenceNational Research Council Canada
FundersU.S. Air ForceU.S. NavyMinistère de la Défense Nationale
KeywordsOperabilityCombustorEngineeringTurbofanJet engineInstrumentation (computer programming)Benchmark (surveying)Test (biology)Automotive engineeringCombustionComputer scienceMechanical engineeringSystems engineeringReliability engineering

Abstract

fetched live from OpenAlex

The purpose of this project was to compare the performance and operability of 50% Fischer-Tropsch Synthetic Paraffinic Kerosene (SPK) and 50% NATO F-34 (JP-8) blend and 100% Jet A-1 in a General Electric F404-400 augmented turbofan engine in the configuration currently in use with the Canadian Forces (CF). The paper describes the main test elements to simulate several aspects of CF use of the engine like acceptance testing, post-overhaul tests, performance (steady state and transient), operability, and durability. An abbreviated endurance test is described as is the special condition monitoring instrumentation. In addition, limited combustor and augmentor combustion stability tests were conducted and some results are described. Fuel properties are documented for reference. The linkage with and support of members of The Technical Cooperation Program (TTCP) is highlighted in terms of joint development of the test plans and sharing the results. Discussions of needs for future limited alternative fuel qualification tests are also presented.

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)0.001
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 score0.040
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
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 head0.009
GPT teacher head0.239
Teacher spread0.231 · 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

Citations1
Published2010
Admission routes3
Has abstractyes

Explore more

Same venueVolume 1: Aircraft Engine; Ceramics; Coal, Biomass and Alternative Fuels; Education; Electric Power; Manufacturing Materials and MetallurgySame topicRocket and propulsion systems researchFrench-language works237,207