Mathematical model and computer program development for online modeling of pulse jet engine working cycle, parameters, and characteristics
Bibliographic record
Abstract
The work is devoted to the development of a mathematical model and a program for online modeling of the pulse jet engine working cycle and characteristics to assess the possibility of its use on unmanned aerial vehicles. The developed universal thermodynamic model describes the instantaneous change in pressure and temperature, taking into account the mixing of flows, combustion, and heat exchange in the combustion chamber of valved and valveless types of pulse jet engines, as well as the flows through the pipes and reed valves of various designs. Unlike the known works, a special online program, Pulsejet-Sim, for pulsejet modeling by a wide range of users has been developed for the first time, which is posted on a special website as a web-oriented software service that does not require downloading to the user’s computer and allows for instant calculation using server resources and secure data cloud storage. Using the developed software, preliminary mathematical modeling of known samples of pulse jet engines was performed, which showed generally satisfactory qualitative and quantitative agreement of the modeling results (error less than 10%) with the available experimental data on thrust, specific fuel consumption, cycle frequency, and other parameters.
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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.011 | 0.004 |
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".