Flame-Assisted Spray Pyrolysis Using an Annular Flame Nozzle with Decoupled Velocity Control
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Flame spray pyrolysis, widely used in chemical industries, is a technology to synthesize nanoparticles. While the flame spray pyrolysis uses fuels as a solution liquid, the flame-assisted spray pyrolysis method uses aqueous solutions. Since process parameters such as concentration of precursor, size of droplets, and ratio of the air–gas mixture affect the size of nanoparticles, developing a flexible system to control these parameters is required. This paper proposes a new type of nozzle system to produce nanoparticles using flame-assisted spray pyrolysis. The annular nozzle design allows flexible control of particle flow and temperature, and an ultrasonic nebulizer was used to produce droplets with different size. Experiments were conducted to analyze the relationship between nanoparticle size and process parameters, concentration of precursor, frequency of the atomizer, and flame temperature. A precursor solution consisting of silver nitrate (AgNO3) mixed in deionized water is used. The effects of the process parameters are discussed, and analysis of the nanoparticles shows that silver nanoparticles are deposited with an average size of 25~115 nm.
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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 | 0.001 | 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 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 it