The Squish-Jet Combustion Chamber for Ultra-Lean Burn Natural Gas Engines
Bibliographic record
Abstract
<div class="section abstract"><div class="htmlview paragraph">Operators of natural gas engines, used for both mobile and stationary applications, are increasingly looking at running these engines under very lean air-fuel ratios in order to reduce exhaust emissions and increase thermal efficiency. Lean operation of homogeneous-charge spark-ignited engines reduces peak combustion temperatures, thereby reducing NO<sub>x</sub> emissions. Lean operation is normally restricted, however, by the “lean-limit” of combustion, as measured by the air-fuel ratio above which ignition is impossible, or combustion is incomplete. Operation under lean conditions also reduces the mixture burning rate, which can lead to increased spark advance and lower thermal efficiency. In order to increase the burning rate under ultra-lean air-fuel ratios a new “Squish-Jet” combustion chamber concept has been developed. This technique incorporates a series of passages in the crown of a bowl-in-piston type of combustion chamber which generates increased levels of small-scale turbulence just before ignition and during the early phase of combustion. This increased burning rate enables the engine to operate with a smaller spark advance under lean conditions, thereby extending the lean-limit of operation and increasing the thermal efficiency. The additional small-scale turbulence levels generated with the squish-jet type of combustion chamber is also effective in improving the completeness of combustion, thereby reducing unburned hydrocarbon emissions. This paper presents the results of a series of tests of the squish-jet combustion chamber design in a single-cylinder Ricardo Hydra research engine. The engine was run at three different engine speeds and under both naturally aspirated conditions and a boost pressure of 1.75 bar manifold absolute pressure. Two different squish-jet piston geometries were tested, together with a conventional bowl-in-piston design for comparison. The squish-jet combustion chambers were found generally to reduce emissions under ultra-lean operating conditions.</div></div>
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| 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".