A Flexible High Pressure Gaseous Fuel Injector for IC Engine Research
Bibliographic record
Abstract
Abstract High pressure gaseous injectors for engine research are difficult to source. Gaseous injectors that are available are patterned after GDI injectors and typically limited to injection pressures around 1 MPa, which can only be used for injection early in the compression stroke. Gaseous injectors for higher injection pressures are typically prototypes with very limited availability and high cost. Around 1990, the Engine Research and Development Lab at the University of Toronto developed a high pressure gas injector with adjustable operating parameters to provide flexibility for various research needs. The injector features e-coil solenoid actuation, an inwardly opening pintle, and a removable injector tip that facilitates ready substitution of different injector nozzle geometries. This paper describes the many design refinements and operational insights made over several decades of extensive in-use experience for natural gas IC engine research. In its current state, the injector can operate at a maximum input pressure of 12.4 MPa absolute, an operating frequency up to 1600 cycles per minute, and with a minimum 0.75 ms injection duration. Using natural gas the injector has negligible leakage when closed. Recommendations for further development are made. The design could be adapted by other engine researchers for gaseous fuel research projects.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| 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 teacher head, 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".