An integrated computational fluid dynamics and chemical kinetics modeling for predicting oil degradation in maritime diesel engines
Bibliographic record
Abstract
This manuscript presents an integrated approach combining chemical kinetics modeling with computational fluid dynamics (CFD) simulation to investigate oil degradation during the operation of a maritime diesel engine MTU 10V 2000 M72. Using COMSOL Multiphysics 6.2, a detailed 2D simulation was performed to model key engine components, including the main journal bearings, connecting rod journal bearings, piston, and oil pan. Three key parameters were analyzed: heat of combustion, crankshaft rotational speed, and oil flow rate. Results demonstrate that while heat of combustion has a moderate impact on oil lifespan, rotational speed significantly affects degradation due to its influence on temperature and flow conditions. The oil flow rate resulted as the most critical factor, with higher flow rates effectively reducing oil temperature and extending its lifespan by minimizing exposure to elevated temperatures. This study highlights the complex interplay between heat generation, flow dynamics, and chemical degradation, providing insights for improved lubricant performance, predictive maintenance strategies, and enhanced engine reliability.
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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".