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Record W4378470882 · doi:10.23977/jemm.2023.080203

Design and Application of Fuel Supply Device and Fuel Supply Advance Angle Adjustment System

2023· article· en· W4378470882 on OpenAlexvenueno aff
Junzhen Gong, Zhenhua Pang, Yuxin Zhang, Sihang Liu, Chunying Zhang

Bibliographic record

VenueJournal of Engineering Mechanics and Machinery · 2023
Typearticle
Languageen
FieldEngineering
TopicReal-time simulation and control systems
Canadian institutionsnot available
Fundersnot available
KeywordsVapor lockBrake specific fuel consumptionAutomotive engineeringFuel tankFuel supplyThrottleHydrogen fuel enhancementDiesel fuelFuel injectionDiesel engineDiesel cycleEngineeringInternal combustion enginePetrol engineMechanical engineeringCombustion chamberCombustion

Abstract

fetched live from OpenAlex

This paper relates to a fuel supply device and a fuel supply advance angle adjustment system in the field of diesel engine testing technology, the fuel supply device includes: a fuel tank, on which a fuel return interface is formed, a fuel pump, on which a fuel supply interface is formed, and the fuel pump transmits the fuel in the fuel tank to the fuel supply interface; The fuel pump and the fuel supply interface are connected with a throttle valve and a pressure relief valve in turn; The pressure regulating valve is installed on the fuel pump to adjust the fuel supply pressure of the fuel pump. This application enables the operator to complete the fuel supply advance angle adjustment process before the diesel engine is installed on the test bench and connected to the fuel pipeline, greatly improving the test efficiency and production efficiency of the diesel engine.

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)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation 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: none
Teacher disagreement score0.004
Threshold uncertainty score0.014

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0040.001

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 head0.006
GPT teacher head0.203
Teacher spread0.197 · 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 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

Citations0
Published2023
Admission routes1
Has abstractyes

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