Rape seed oil derivative as a new capacitor impregnant
Bibliographic record
Abstract
There is a growing demand for nontoxic, biodegradable low flammability fluid to replace toxic, non biodegradable polychlorinated biphenyls (PCB's) and fluids based on fast depleting petroleum crudes. In this search a number of synthetic compounds viz., esters, silicones, fluorocarbons have been developed and have reached various stages of evaluation and commercialisation. In this context exhaustive investigations were carried out in CPRI on rape seed oil of vegetable origin as India is one of the major producers of rape seeds and ranks third in the world next to China and Canada. The rape seed oil is a triglyceride of a mixture of long chain fatty acids-erucic acid, oleic acid and linoleic acids. The triglyceride ester has been converted to simple methyl ester by trans-esterification process using a catalyst and methanol. The evaluation of the methyl ester of rape seed oil (MRSO) has been done in comparison to commercially available capacitor fluids Midel, Baylectrol, PCB and found to be comparable. This paper highlights an attempt to use vegetable based MRSO as capacitor impregnant and also covers the studies made on two coupling capacitors impregnated with MRSO. These capacitors have been evaluated as per IEC 358. This has led to the development of MRSO as a possible alternative fluid for capacitor impregnation.>
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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 | 0.000 | 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) | 0.002 | 0.001 |
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".