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Record W3042427679 · doi:10.22215/etd/2020-13959

Combustion Characteristics of n-heptane Through Temperature Variation Measurements Using Ignition Quality Tester

2020· dissertation· en· W3042427679 on OpenAlexaff
Osama Hmood

Bibliographic record

Venuenot available
Typedissertation
Languageen
FieldChemical Engineering
TopicAdvanced Combustion Engine Technologies
Canadian institutionsCarleton University
Fundersnot available
KeywordsCombustionCetane numberCombustion chamberIgnition systemAutoignition temperatureThermocoupleHomogeneous charge compression ignitionMaterials scienceNuclear engineeringFuel injectionEngine knockingGasolineAnalytical Chemistry (journal)ThermodynamicsChemistryAutomotive engineeringWaste managementEngineeringComposite materialPhysicsOrganic chemistry

Abstract

fetched live from OpenAlex

The constant volume combustion apparatus, known as the Ignition Quality Tester (IQT T M ), is increasingly used around the world to measure the ignition delay (ID) of compression ignited fuels, and to calculate the derived cetane number (DCN ) from correlations developed with the cetane number (CN). The IQT is widely used in research due to its capability to manipulate combustion controller parameters, including pressure, temperature, oxygen content and mass of injected fuel. Recently, the IQT has also been used to conduct experiments on fuels with a longer ID, such as gasoline. Most findings from previous research are based on instantaneous global pressure measurements to obtain ignition delay, whereas there are minimal spatial and temporal temperature measurements inside the combustion chamber of the IQT . This study will expand knowledge of combustion processes through temperature measurements, using a set of fine gauge thermocouples distributed at different locations inside the IQT combustion chamber.

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)0.000
metaresearch head score (Gemma)0.001
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 score0.318
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
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 integrity0.0010.001
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 head0.072
GPT teacher head0.321
Teacher spread0.248 · 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
Published2020
Admission routes1
Has abstractyes

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