An analysis of the impact of diesel fuel quality parameter variations on the efficiency of fuel separation
Bibliographic record
Abstract
Cilj ovog završnog rada je detaljno analizirati utjecaj promjena parametara kvalitete dizel goriva na efikasnost centrifugalne separacije pomoću separatora Alfa Laval PU150. Rad obuhvaća teorijski pregled principa rada centrifugalnih separatora, detaljan opis njihovih ključnih dijelova te specifičan prikaz separatora Alfa Laval PU150, s posebnim osvrtom na proces odabira gravitacijskog diska kao važnog čimbenika za kvalitetnu separaciju. Kroz provedenu simulacijsku analizu identificirani su optimalni uvjeti separacije, pri čemu je utvrđeno kako povećanje temperature goriva i smanjenje protoka pozitivno utječu na smanjenje udjela vode i krutih nečistoća u pročišćenom gorivu. Također, analiziran je utjecaj promjene parametara goriva na efikasnost centrifugalnog separatora, s naglaskom na posljedice koje nedovoljno kvalitetno separirano gorivo može imati na rad brodskih sustava. Dobivene smjernice pružaju posadi stroja jasne preporuke za optimizaciju rada separatora, povećanje pouzdanosti brodskih sustava te značajno smanjenje troškova održavanja.
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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) | 0.001 | 0.002 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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".