Q/M distribution in pulsed corona powder coating spray cone
Bibliographic record
Abstract
The advantages of using a high voltage pulsed corona superimposed on a lower voltage DC bias electrostatic field have been well-documented for the case of electrostatic precipitation of high resistivity dusts. The high voltage, short pulses achieve adequate charge-to-mass ratios, while reducing the total ionic current landing on the dust layer and thus minimizing the deleterious back corona effects. To throw further light on this corona charging process, which up to the present has not been put to wide use by the electrostatic painting industry, the authors present a preliminary experimental study applied to powder coating. Measurements are presented for the Q/M ratios of the charged powder fractions collected in an ensemble of 5 double Faraday pails mounted in a cross behind the target plane. The results indicate, on average, a substantial increase in the charge-to-mass ratio of powder, combined with a reduction of the total ionic current which bombards the painting target.
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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 | 0.000 |
| 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 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".