Development of scientific principles for designing a multi-flow reversible ejector fitted with a rotating nozzle
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
Jet control systems are widely used to solve practical tasks in many industries, including mining and transportation of liquid and gaseous hydrocarbons. Unlike traditional ejectors, the use of a multi-flow reversible ejector opens up unique opportunities for the efficient distribution of energy across different channels and in any direction within a three-dimensional space. The article discusses options for the jet control systems that use a rotating nozzle and intelligent nozzle devices with the application of the CFD technology. The authors of the article propose new scientific principles of designing a multi-flow reversible ejector with controlled energy distribution across the ejector channels, including the use of a rotating diffuser in an upgraded de Laval nozzle. The results of the performed studies are mainly used to promote scientific research and development activities in creation of energy-efficient oil and gas production technologies. Some of the research results can be used in developing promising robotic equipment for various purposes.The results of the study show that digitalization leads to a 21.4% reduction in the share of workers in traditional jobs, while the demand for IT specialists grows by 285% and that for operators of robotic systems by 156%. The economic efficiency ratio of digitalization is 2.12, and the return on investment period is reduced from 7.8 to 4.2 years. A positive correlation has been established between the level of digitalization and the labour productivity (r = 0.821). The theoretical significance of the work lies in developing conceptual ideas on transformation of labour relations in the digital economy in specific conditions of the mining industry. The practical value is defined by the possibility of using the obtained results for strategic planning of the human resources development and optimization of the investment decisions in the field of digitalization of coal companies.
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.
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 | 0.003 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.002 | 0.003 |
| 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