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Record W4366777812 · doi:10.54097/hset.v43i.7430

Current Status of Jet Engines and Their future

2023· article· en· W4366777812 on OpenAlexaff
Hangyu Liu

Bibliographic record

VenueHighlights in Science Engineering and Technology · 2023
Typearticle
Languageen
FieldEnvironmental Science
TopicAdvanced Aircraft Design and Technologies
Canadian institutionsKensington Health
Fundersnot available
KeywordsJet engineAerospaceTurbofanSpacecraftJet (fluid)Aerospace engineeringJet propulsionMechanical engineeringComputer scienceAeronauticsEngineering

Abstract

fetched live from OpenAlex

Jet engines have important application value and status in the aerospace field, which directly affects the development of aircraft and spacecraft. This year, jet engines have gradually become the focus and hotspot of scholars at home and abroad. Through the method of literature comparison and analysis, this paper focuses on analysing two common jet engines, namely turbofan engine and pulse jet engine, and makes a detailed analysis and comparison of their working principles and applications; for the future development of parts, three-dimensional (3D) printing technology as an example, the use of different kinds of 3D printing, electron beam melting and selective laser melting to print jet engine parts and how to reduce errors is studied, and various techniques for improving high temperature parts are analysed., and looked forward to the future development trend of jet engines and put forward their own views. The research work in this paper will promote the development of jet engine and provide reference for engineers and technicians.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.014
Threshold uncertainty score0.045

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.003
Science and technology studies0.0010.001
Scholarly communication0.0040.008
Open science0.0010.001
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0140.004

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 head0.007
GPT teacher head0.220
Teacher spread0.213 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreReview

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
Published2023
Admission routes1
Has abstractyes

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