Electrospray and Jet Contributions to the Current Measured during Electrospinning
Bibliographic record
Abstract
In this paper, measured current was shown to relate to the morphology of the filaments processed during electrospinning.In a series of experiments, a polycaprolactone-cellulose propionate blend in a THF-Methanol solvent system, was electrospun at potentials between 5 and 15 kV and a tip to collector distance of 12 cm.The electrical current was measured under all processed conditions and related to the observed filament morphology.In a step-approach, to better evaluate the current carried by the jet during electrospinning, the current generated by the solvent was measured separately from the current generated by the solution during electrospinning.The jet current obtained using this approach appeared to follow the trend predicted by the models referenced in this paper.The results indicated that solvent, segregated from the polymer solution jet during whipping, may carry most of the current under studied conditions at an applied potential above 10 kV, while the polymer solution jet carried most of the current at a lower applied potential.SEM results indicated that a potential of 8kV was sufficient to spin filaments at stable electrospinning processing conditions.At that applied potential, the smallest average diameter was obtained, also displaying the narrowest diameter distribution for the filaments.Overall, the results showed that measuring the current during electrospinning can be an effective tool in better understanding and predicting filament morphology.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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".