Research and Development towards Utilization of DME Powered Diesel Engines
Bibliographic record
Abstract
A series of research developments are summarized based on the research and development of a dimethyl ether (DME) medium-duty truck as below.- Examination of lubricity improvement which is an important fuel characteristic,- Engine and vehicle development,- Evaluation of the emission characteristics including trace levels of harmful substances,- Vehicle field test.Evaluation of lubricity used newly developed equipment to evaluate the effects of lubricity improvers. Checking the correlation between the durability of the injection pump and lubricity on fuel, and normalizing the equipment, allowed standardization of the evaluation method of lubricity for DME.Investigation of trace level emissions found that the unique fuel properties of DME affect the emission levels, so DME has great potential for satisfying more severe emission regulations compared to conventional diesel fuel.In vehicle and field testing, the overall quality of the DME truck was improved by solutions for the problems that occurred during the field tests.
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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 | 0.000 | 0.000 |
| 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) | 0.000 | 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".