Experimental study on magnetic induction property of solenoid coil used in cooling water treatment system
Bibliographic record
Abstract
Magnetic induction intensity is a critical factor to determine electromagnetic descaling effects. The current in a solenoid coil is an important parameter affecting the intensity of electromagnetic induction. In order to explore how winding pipe diameter, number of turns and frequency affect the current in the solenoid coil wrapped around the carbon steel pipes, the variation of the current with those factors is investigated by an experiment in which the method of series resistance is used. The peak current is obtained by measuring the voltage crossing series resistance. In this paper, the effect of series resistance on measuring current is analyzed. In order to reduce the influence of series resistance to electric current and ensure measurement reliability, 1.18Ω of the resistance is used for experimental measurements. The magnetic induction decreases with the increase of frequency and pipe diameter, and increases when the number of turns increases. The peak current decreases with the increase of frequency, number of turns, and pipe diameter, respectively. The results of this study shows that the variation of the current in the solenoid coil wrapped around the carbon steel pipes can be affected by various factors, and design guidance for the power of electronic anti-fouling equipment is provided.
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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 | 0.001 |
| 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 | 0.000 |
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 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".