Swing Angle Error Compensation of a Computer Numerical Control Machining Center for Special-Shaped Rocks
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Bibliographic record
Abstract
The accuracy of swing angle directly bears on the machining performance of computer numerical control (CNC) machine tools. Any error in the swing angle will greatly affect the machining quality. In actual engineering, it is very important to compensate for the angle error in the machine tool. This paper attempts to design an effective method to compensate for the swing angle error in special-shaped rock turning-milling machining center HTM50200. Firstly, the commonly used swing angles of the tool axle were measured, and fitted into curves through polynomial regression. Based on the fitted curves, the error between the theoretical and actual swing angles was obtained and corrected, and the change law of the angle error was derived. After error compensation, the actual swing angle was measured again for verification. According to the measured results, our error compensation technique greatly enhanced the rotation accuracy of the swing axle, and mitigated the effects of swing angle error on machining accuracy. This research breaks new ground for the development of high-end high-precision rock machining equipment.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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