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Record W4247637518 · doi:10.32920/ryerson.14643747

The Development Of A Piezoelectric Fuel Injector For Diesel Engine

2021· preprint· en· W4247637518 on OpenAlexaff
Kei S.A. Chiu

Bibliographic record

Venuenot available
Typepreprint
Languageen
FieldEngineering
TopicVehicle emissions and performance
Canadian institutionsToronto Metropolitan University
Fundersnot available
KeywordsInjectorAutomotive engineeringFuel injectionDiesel fuelLift (data mining)Automotive industryCommon railDiesel engineActuatorEngineeringWork (physics)Mechanical engineeringComputer scienceElectrical engineeringAerospace engineering

Abstract

fetched live from OpenAlex

Stringent emission levels challenge automotive industries to come up with innovative ways of improving existing technologies. In advancing diesel engine technology, the key factor lies in further developing a piezoelectric fuel injector in the common-rail system. A direct acting piezoelectric fuel injector prototype for the common-rail system was developed to preserve the lifetime of the actuator, achieve an adequate needle lift, and response quickly. Through analytical work and ANSYS simulations, problems were encountered on the initial designs. These problems were overcome with successive design improvements. Simulations and analytical estimations provide evidence on the potential performance on these improvements. After design iterations, a prototype was fabricated according to the final design. Experimental work further validated that the fuel injector designed is capable of meeting the requirements. Problems with the test results are discussed for further improvements on the design.

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)0.001
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 score0.002
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.001

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 head0.016
GPT teacher head0.235
Teacher spread0.218 · 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
Published2021
Admission routes1
Has abstractyes

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