Modelling the effect of ferrite on an inductively coupled plasma torch: I. Infinite ferrite permeability
Bibliographic record
Abstract
A new model for electromagnetic field modelling is proposed for the simulation of inductive plasma torches. Instead of solving the equations of vector potential, the electromagnetic fields are obtained by solving the equations of the magnetic stream function (φ), the contours of which represent the magnetic lines, i.e. the direction of magnetic field. This model is used to calculate the effect of ferrite on the plasma flow when the ferrite is placed around the coil in order to shield the electromagnetic radiation, therefore reducing the losses of RF power. Under the assumption that the permeability of ferrite is infinite, the magnetic line is perpendicular to the surface of ferrite. If the ferrite has infinite permeability, we neednot solve the equations of magnetic stream function in the ferrite and the surfaces of ferrite are taken as the boundary of the magnetic stream function at which the normal derivative of magnetic stream function is set to zero. In this paper, the computational results with different ferrite shapes have been obtained, which show that the role of ferrite is not only to shield electromagnetic radiation but it also increases the power coupling efficiency to plasma torch and reduces the necessary coil current as well. The results of the model clearly indicate how this can be done efficiently in an industrial plasma torch.
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) | 0.001 | 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 | 0.001 |
| 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".