Influence of Feeding Temperature of Biofuels on Agricultural Engine Performance
Bibliographic record
Abstract
The search for alternative energy sources to reduce the use of diesel in the national energy matrix has been studied in a gradual way, with partial insertions of biodiesel to diesel. Parameters such as viscosity change when biodiesel is added to diesel, as this factor directly influences the atomization of the fuel. This paper aimed to evaluate the behavior of renewable biofuels in a 61 hp agricultural engine, by means of dynamometric tests, operating with mixtures of type A diesel S500 and biodiesel, including an analysis of pure diesel (0% biodiesel) and diesel blend with 20% biodiesel, heated with a system before the injection pump, at temperatures of 45 °C, 65 °C, and 85 °C. The highest values were maximum torque of 208.7 N m, maximum power of 55.3 KW, and specific consumption of 236.9 g KW h-1 at 45 °C. The viscosities of the mixtures were also determined using the 40 °C test temperature, as suggested by ASTM D 445, followed by the ANP, as well as temperatures studied, and the cSt values of the blends at 65 °C and 85 °C were below the minimum limit established by ANP.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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".