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Record W1966765331 · doi:10.1243/0954407011528815

Solenoid-operated diesel injectors for low-viscosity liquid and gaseous fuels

2001· article· en· W1966765331 on OpenAlexafffund
Hyejeong Hong, Babak Torab

Bibliographic record

VenueProceedings of the Institution of Mechanical Engineers Part D Journal of Automobile Engineering · 2001
Typearticle
Languageen
FieldEngineering
TopicHydraulic and Pneumatic Systems
Canadian institutionsConcordia University
FundersNatural Resources CanadaNatural Sciences and Engineering Research Council of Canada
KeywordsInjectorDiesel fuelSolenoidCommon railFuel injectionInertiaNuclear engineeringMechanicsMaterials scienceMechanical engineeringEngineeringAutomotive engineeringPhysics

Abstract

fetched live from OpenAlex

Alternative fuels such as liquid dimethyl ether have low viscosity that result in fuel leakage in diesel components, while natural gas and hydrogen are too compressible for diesel pressure operated injection. A new solenoid-operated injector design for diesel alternative fuels is described. Less force is required to open the injector because of the pressure-balanced design by having the pressure across the needle guide the same. A pulling rod is attached between the electrical solenoid core and needle guide. Activating the solenoid produces the electromagnetic force to pull open the injector needle. Circulation of the fuel through the common rail housing the solenoids is used to prevent the coils from excessive heat that tends to reduce the solenoid force. On injector closing, the elasticity of the pulling rod provides relative motion damping so that the core's inertia force is reduced as it is transferred to the needle. This results in lower impact forces between the needle and its seat and lessens their wear. Also, the magnitude of the needle seat bounce is attenuated and results in less post-injection and emission pollutants. The study of needle-to-seat impact forces has been modelled for computer simulation and has been verified with experiments.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.158
Threshold uncertainty score0.799

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.008
GPT teacher head0.197
Teacher spread0.189 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations3
Published2001
Admission routes2
Has abstractyes

Explore more

Same venueProceedings of the Institution of Mechanical Engineers Part D Journal of Automobile EngineeringSame topicHydraulic and Pneumatic SystemsFrench-language works237,207