Shear Stability of Vegetable Oil-Based Lubricants with Ethyl Cellulose Viscosity Index Improver
Bibliographic record
Abstract
A diesel fuel injector apparatus conforming to ASTM 6278 was used to examine the effects of mechanical shear on two vegetable oil-base lubricants, each blended with a different molecular weight ethyl cellulose polymer to improve its viscosity-temperature behaviour.Kinematic viscosity measurements conforming to ASTM D445 were used to determine the magnitude of viscosity loss after mechanical shearing.The lower molecular weight E45 sample was determined to have a permanent viscosity loss of 0.73% and a shear stability index of 1.56, whereas the higher molecular weight EC100 sample was determined to have a permanent viscosity loss of 3.57% and a shear stability index of 6.51.Results were comparable to traditional PMMA polymer additives of similar molecular weight which are commonly used in petroleum-based lubricants, indicating that the ethyl cellulose polymers may function well as VIIs even after mechanical shear degradation.Kinematic viscosity measurements of increasingly dilute solutions of prepared lubricants were used to determine the changes in the intrinsic viscosity of solution as an indicator of the decrease in polymer molecular weight after shearing.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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) | 0.001 | 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 source (direct Gemma or distilled Codex), 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".