The Performance of Diesel Engine Fueled Diesel Oil in Comparison with Heated Pure Vegetable Oils Available in Vietnam
Bibliographic record
Abstract
Pure vegetable oils have the greatest promise for alternative fuels for internal combustion engines beside the depletion of conventional petroleum resources. Among various possible options, pure vegetable oils present promising of greener air substitutes for fossil fuels. Pure vegetable oils, due to the agricultural origin, liquidity, ready availability, renewability, biodegradability are able to reduce the CO2 emissions in the atmosphere. Also, in Vietnam, pure vegetable oils such as soybean oil (SoO100), coconut oil (CO100) and sunflower oil (SuO100) are available. The paper presents the results of using heated pure vegetable oils for diesel engine D243 with power of 80 hp (58.88) kW. The results of determining the power (Ne), specific fuel consumption (SFC) and efficiency (n) are used to evaluate the performance of engine. The results show that, the engine power (Ne) is 10%-15% lower, the SFC of engine D243 using pure vegetable oils is 3%-5% higher and the η is 2.5%-6.2% lower compared to diesel oil (DO). Among the pure vegetable oils, the best performance results for D243 diesel engine are obtained from heated pure sunflower oil up to 135oC.
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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 | 0.000 |
| 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".