МОЖЛИВОСТІ ВИКОНАННЯ ЗАПОБІЖНИХ ФУНУЦІЙ КУЛЬКОВОЮ ОБГІННОЮ МУФТОЮ ОСЬОВОЇ ДІЇ
Bibliographic record
Abstract
A method of expanding the operational capabilities of axial ball couplings is proposed to prevent overloading of mechanical drive parts by automatically separating the ends of the shafts as the torque increases to undesirable values. A new design of a part of a mechanical actuator, called the ball-bending axial axial coupling, was developed and patented, and kinematic-force calculations of its main elements were carried out. The main results of the conducted researches of the following important problems are presented in the work: the necessity of improvement of characteristics with expansion of functions of ball overrunning couplings is substantiated; scientific approach and synthesis of ball deflection couplings have been developed; an analytical analysis of the design and force parameters of ball bending-protection couplings; a common mathematical model of the condition of automatic disconnection of shaft ends connected by coupling during overloads and prevention of kinematic chain of mechanical drive from overloads; the basic parameters of the coupling are scientifically substantiated and patented by their patent of Ukraine for utility model. The graphical dependences of the power parameters on the geometric factors of the coupling are shown.
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 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.022 | 0.008 |
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".