Precision Machining for Thin Wall Spherical Shell Based on Magneto-Rheological Fluids Strengthening
Bibliographic record
Abstract
Magnetorheological (MR) fluids can transform from fluid to solid and back to fluid rapidly in magnetic field. It is a novel intelligent phase transition material. In this study, MR fluids are filled inside a thin wall spherical shell as phase transition material to improve the workpiece stiffness. A fixture structure based on MR fluids for the thin wall spherical shell precision machining is designed. The fixture stiffness can be controlled and the MR fluids can be used many times. The MR fluid as strengthening material is developed and the amount of metal powder in MR fluids is 52% by volume and the performance of MR fluids is measured. Based on electromagnetic principle, a special magnetic field is designed and the magnetic field distributing is analyzed and optimized. The thin wall spherical shell using the designed fixture is turned in CK7820B lathe. The cutting experiment result shows that the fixture based on MR fluids can improve the workpiece machining precision.
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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 | 0.000 |
| 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 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".