An IGBT-Based Pulsed Power Supply in the Fabrication of Non-Contiguous Nanofibres Using Electrospinning
Bibliographic record
Abstract
Nanofibres are useful in many areas due to their outstanding characteristics: small size and high surface-to-volume ratio. Recently, drug delivery systems using polymer nanofibres have gained significant attention. For these systems, a chopped nanofibre is required because the amount of drug released depends on the length of the fibre. Electrospinning is the simplest method of fabricating polymer nanofibres. In the process, a high voltage creates an electrified jet which eventually becomes a nanofibre. The jet ejects when a high voltage is applied and vice versa. It is therefore possible to fabricate and chop nanofibres by controlling the value of the voltages applied. In this research, an IGBT-based pulsed power supply has been designed and built. The IGBTs are connected in series to increase a withstand voltage. The power supply can produce square pulses with a width of a few hundred microseconds to DC and amplitudes up to 10 kV. The technique of non-continuous-mode electrospinning using the pulsed power supply was able to fabricate and chop nanofibres with PEO. The minimum pulse width that can initiate a jet is approximately 80 ms in this study. A jet is always ejected during the pulse-on voltage when the duty ratio is more than 40%.
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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 | 0.000 |
| 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 | 0.001 |
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".