Chemical Characterization and Tribological Behavior of Kitchen Chimney Dump Lard (KCDL) as a Bio-lubricant
Bibliographic record
Abstract
Immense study of environment friendly and renewable lubricant is now a day's major field of research for the overall sustainable development.Most of the challenges are taken towards recyclable waste to product.The Present work investigates the characterization and frictionwear behavior of Inconel 800 against 100Cr Steel applying Kitchen Chimney Dump Lard (KCDL) as a bio-lubricant.The characterization study by FTIR (Fourier Transform Infrared Spectroscopy) has shown the presence of fatty acid ester in KCDL.Tribological tests have been performed on Inconel 800 at different load and speed in a lubricated condition.From the experiment, it has been investigated that there is no such change in specific wear rate due to better lubricity property and the presence of strong bonded beneficial tribofilm on KCDL.The coefficient of friction (COF) increases with the increase in speed and load but it is less compared to waste cooking oil, and Castrol GTX 20W-50.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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".