Decomposition Kinetics of Natural Ester and Mineral Oil from Thermogravimetric Analyses
Bibliographic record
Abstract
With growing environmental concerns, biodegradable insulating fluids are being investigated as alternatives to petroleum-based mineral insulating oil in power transformers. In order to optimize their use, decomposition studies of these alternative fluids are therefore of ultimate importance. This paper investigates the thermal decomposition kinetics of mineral oil and two vegetable-based ester fluids, using the thermogravimetric analyses. The initial and maximal decomposition temperatures are determined using thermal analyses. In addition, the Arrhenius activation energy is calculated for the fluids under study using the Ozawa-Flynn-Wall iso-conversional method. In addition, TGA studies are extended to mineral and natural ester impregnated paper, with the aim of assessing their impact on the thermal decomposition of insulation paper. It is found that the level of mono-unsaturated acids in esters is important for enhancing the thermal stability. The enhanced thermal stability of the esters has advantageously contributed to the improvement of the thermal performance of the insulation paper.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 |
| 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) | 0.000 | 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".