Thermodynamic similar indicator diagrams of the heat engines Energy non-dimensional diagram of the heat engine closed cycle
Bibliographic record
Abstract
To provide an analysis of the thermodynamic processes occurring in a heat engine and its efficiency the indicator diagrams are used. The diagrams are constructed in the dimensional values of the parameters of the working fluid: volume, entropy, pressure, temperature, and other parameters. Exceptions include, for example, experimental studies and thermodynamic calculations performed, when designing a Laval nozzle for jet engines. These studies are based on the Similarity Theory. The paper shows graphoanalytical calculation of the efficiency of the idealized cycle of a heat engine in dimensionless working body parameters. Research methods using dimensionless parameters - similarity criteria are a characteristic feature of the Similarity Theory. In addition to the dimensionless indicator diagram, an energy dimensionless diagram of a circular closed loop of a heat engine was developed and described. The energy diagram depicts the thermodynamic processes of the exchange of heat and mechanical work between the working fluid and the environment in the dimensionless coordinates of heat and mechanical work. It is shown in the paper that the use of an energy dimensionless diagram is the simplest and most obvious graphoanalytical method for determining the efficiency of a heat engine. With regard to the analysis of the operation of a heat engine, the importance of using the Similarity Theory is determined by the fact that the only analytical, graphic or experimental study of a heat-specific engine with the least difficulties can be extended to the study of an infinite number of thermodynamically similar engines. For example, in the proposed work, the dimensionless calculation of the idealized Otto engine cycle is performed.
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) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.017 | 0.002 |
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".