Observation and Simulation for the Movement of Metallic Particles in Flowing Transformer Oil under AC/DC and Combined Voltages
Bibliographic record
Abstract
The movement of metallic particles in flowing transformer oil is observed under AC, DC and AC/DC combined voltages. It is found that the particles execute sedimentation followed by repeated up-down motions in the vertical direction, and meanwhile move along with the oil flow in the horizontal direction. The up-down motion is affected by applied voltage. With the application of AC voltage, the bounce height from the grounded electrode does not exceed the half of electrode separation. After the DC component is introduced, the particles can arrive at the high-voltage electrode. When the ratio of combined voltage between AC and DC components is 1:1, the particles drop slightly in the upward motion and rise slightly in the downward motion. As the ratio is reduced, no such slightly dropping or rising is observed. In order to analyze the experimental results, a simulation model about solid-liquid two-phase flow subjected to electric field is constructed. Simulated trajectories of particles are in good agreement with the experiments. Based on the model, the evolution of force condition exerted on a particle during its motion is analyzed, and the relationship between partial discharge (PD) frequency and particle movement is briefly discussed.
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".