Combustion Characteristics of n-heptane Through Temperature Variation Measurements Using Ignition Quality Tester
Bibliographic record
Abstract
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 I would like to express my gratitude and appreciation to my supervisor professor Edgar A. Matida.His continuous support and guidance have demolished the difficulties toward gaining my PhD.I would like to acknowledge the Advanced Engine Technology (AET) Ltd. for allowing me to use their facilities and dedicating an IQT to do my research.The AET staff was wonderful and generous in providing everything for my research.I must thank Mr. Gary Webster, the principal of the AET for the opportunity to work in his laboratory, may he rest in peace.I also want to appreciate the unlimited technical support during experimental work from Luc Menard, Omar Ramadan, Dave Gardiner
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 imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".