Evaluation of the Positioning Accuracy Along Helical Paths Using a Telescoping Ballbar
Bibliographic record
Abstract
Abstract The telescoping ballbar is a versatile and easy-to-use error identification instrument for machine tools. The ballbar movement trajectory used while machining is limited to acquiring a large circular arc for positioning accuracy evaluation. However, it cannot be used to calculate the expected machine tool error parameters. Herein, a helical path is explored because it provides a complete helix turn under machining conditions, similar to the general ballbar path during a non-machining test, and enables the calculation of relevant machine tool error parameters. The theoretical model and program for a helical ballbar test are developed and validated experimentally on two different research platforms: a hexapod-based machining cell and a Mitsui Seiki HU40-T five-axis machine tool. Using a Renishaw QC-20W ballbar system with a 50 mm radius, the tests were conducted with helical pitches of 0, 0.1, 0.2, 0.5, 1, and 1.5 mm, respectively. After compensation, the helical-based ballbar test showed similar radial deviation curve patterns as the standard ballbar test, with differences in circular deviation of less than 2.4 µm and 1.5 µm observed for the hexapod machining cell and machine tool, respectively. The proposed helical ballbar measurement and data processing method is therefore feasible and can produce comparable results to circular ballbar tests.
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How this classification was reachedexpand
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 | 0.000 |
| 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 | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".