Non-Newtonian behavior in canola-oil-based bio-hydraulic oil
Bibliographic record
Abstract
The use of vegetable oils can offer important environmental advantages with respect to biodegradability and renewability, along with good performance in a range of different applications. Unlike petroleum-based lubricants, which have been studied and developed over a century, knowledge related to vegetable-oil-based lubricants is limited. In this work, the rheological properties of industrial canola-oil-based bio-lubricants were investigated using a rotary rheometer. The bio-hydraulic oil exhibited constant viscosity at both moderate and high shear rates, as well as shear thinning at low shear rates and temperatures less than 30 ℃. Frequency sweep tests revealed significant viscoelasticity in the bio-hydraulic oil, which developed over time. Time dependence and structure recovery effects were also investigated. These experiments reveal some characteristic liquid crystal fingerprints. To the best of our knowledge, this study is the most extended rheological characterization of low-viscosity vegetable-oil-based lubricants.
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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 | 0.000 | 0.001 |
| 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) | 0.001 | 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".