DEVELOPMENT OF ADJUSTABLE TAPERED AEROSTATIC BEARINGS FOR NON-CONTACT DIRECT MACHINE DRIVES
Bibliographic record
Abstract
The article is devoted to making adjustable conical air bearings. Its application in different machines allows increase load capacity and reliability, speed extension, reduce mass, overall dimensions and air consumption, secure stable rotary motion in speed wide range due to adjustment of static and dynamic characteristics of direct drives. Mathematical models of single-support and multi-support systems have been designed for study of its characteristics and efficiency of suggested improvements. Function relations between structural, functional, geometric parameters of conical aerostatic systems have been theoretically determined for adjustable air gap that allows change load capacity and dynamic characteristics of non-contact direct drives. Method of parametric conversion of conical bearings to radial and thrust bearings has been suggested. It gives analytical solution of non-contact drive static characteristics. Analytical stability criterion of rotor of single-support system has been determined. Working capacity conditions have been analytically obtained from mass and inertial properties, parameters and characteristics of air-bearing direct drive. Adjustable conical air-bearing pneumatic spindle has been manufactured. Experimental set-up and experimental technique have been designed for validation theoretical results. Design procedure of air-bearing non-contact drives has been engineered. Algorithm of numerical experiment of static characteristics and dynamic properties has been engineered for design decision verification.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".