Аэродинамический высокопроизводительный распылитель жидких реагентов на основе сопла Лаваля
Bibliographic record
Abstract
Авторами статьи предлагается высокопроизводительное устройство для подачи жидкого реагента в установку для химического осаждения высокочистого кварца в пламени. Подача жидкого кремнийсодержащего реагента осуществляется путем преобразования его в аэрозоль при помощи аэродинамического распылителя с плоским соплом Лаваля с внутренним телом. Разработанная конструкция позволяет достичь больших расходов жидкого реагента путем изменения сечений сопла для регулировки скорости газа-распылителя. Предложенная конструкция отличается более высокой технологичностью и простотой изменения расхода реагента в широких пределах, в отличие от распространенных коаксиальных конструкций сопел. The authors propose a high-performance device for supplying a liquid reagent for the chemical vapor deposition of high-purity quartz. The liquid silicon-containing reagent is supplied by converting it into an aerosol using an aerodynamic nebulizer with a flat Laval nozzle incorporating an internal body. The developed design allows of achieving a high flow rate of the liquid reagent by changing the nozzle cross-sections so as to adjust the speed of the nebulizer gas. The proposed design features higher manufacturability and simple adjustment of the reagent flow rate over a wide range, as distinct from the common coaxial nozzle designs.
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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 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.014 | 0.005 |
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".