RESEARCH OF ADJUSTABLE LAVAL NOZZLE
Bibliographic record
Abstract
Heat exchangers are the most common and simplest equipment for cooling gas streams, but heat must be removed for their operation. However, by using a Laval nozzle, it is possible to achieve cooling of the gas flow due to a physical phenomenon in which the gas flow velocity is reduced to the speed of sound. The efficiency of such a nozzle depends on the change in the gas flow rate in it. Therefore, to regulate the mode of operation of the Laval nozzle, its design is proposed, which is simpler than the existing ones, cheaper to manufacture and operate. The nozzle is made of an elastic material - silicone, and is located in a special housing, into which a compression nut is inserted, which compresses the nozzle in the axial direction. Due to this achievement, the inner opening of the nozzle is reduced. Conducted simulation studies of the proposed design of the nozzle made it possible to apply its deformed state, developed and printed on a 3D printer of a mold - to make a silicone nozzle and conduct its research. After conducting a study of the silicone nozzle, it was established that the diameter of the hole at the critical section without deformation in the axial direction is 11.8 mm, and at a deformation of 10 mm - 8.6 mm.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 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".