Effects of Injection Changes on Efficiency and Emissions of a Diesel Engine Fueled by Direct Injection of Natural Gas
Bibliographic record
Abstract
Measurements of performance and emissions of a Detroit Diesel 1-71 engine fueled with natural gas have been made using high-pressure direct-injection (HPDI). Natural gas is injected late in the compression cycle preceded by pilot injection of conventional liquid diesel fuel. With 6 nozzle holes for both natural gas and diesel pilot there was instability in engine operation at low load and wide scatter in emission measurements. Guided by numerical simulation results it was found experimentally that data reproducibility and engine operating stability could both be much improved by using unequal jet numbers for injection of natural gas and pilot diesel. In the range of 100 to 160 bar, combustion rate and NOx emissions increased with gas injection pressure. Best thermal efficiency results were obtained for a gas pressure of 130 bar. By adjusting beginning of injection, NOx reductions of up to 60 % from the diesel baseline could be obtained, while preserving conventional diesel efficiency. Over the BOI and load range of study, longer relative injection delay gives lower NOx emissions and improved thermal efficiency.
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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 | 0.000 |
| 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".