Performance and Fuel Consumption of Diesel Engine Fueled by Diesel Fuel and Waste Plastic Oil Blends: An Experimental Investigation
Bibliographic record
Abstract
This study analyzes the performance of the diesel engine in terms of power, torque, specific fuel consumption, and thermal efficiency using diesel and pyrolysis oil. The waste plastic oil (WPO) used in this research was produced through a pyrolysis process using raw materials from Low-density Polyethylene (LDPE) mixed with diesel fuel in volume ratios WPO10, WPO20, WPO30, WPO40, and WPO50. In addition, a performance test was carried out on the single-cylinder diesel engine test bench. The results showed that performing the diesel engine with the addition of WPO increased the average power and torque by 5% and 3%, thereby producing a higher heating value. Furthermore, the concentration of WPO also reduces the level of specific fuel consumption to be more efficient, with a decrease in thermal efficiency. In conclusion, plastic waste pyrolysis oil is a promising alternative fuel applicable to a diesel engine.
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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".