Distribution of temperature fields and specific reductions at grinding balls rolling
Bibliographic record
Abstract
During the high hardness grinding balls production the following to the process parameters is the key requirement. The temperature and the deformation uniformity are main parameters at the high hardness grinding balls rolling. Reduction forces can be estimated by modeling, but in this case, they were determined analytically, based on the distribution of the real specific reduction force over the observed temperature fields on the surface of the ball. Revealed a significant increase in the temperature of ball during the cross-helical rolling from equator to the poles from 880 °С to 940 °С. Established temperature increase (up to 60 °C) was observed in the area of the roll flange penetration into the workpiece, where significant deformations occur. Maximum average power of rolling generated on the top of the roll flanges has been determined, which reaches 350 MPa and decreases linearly with the distance from the top of the flange of the deformation tool and is practically reduced to zero on the equator of the ball. It was shown that linear nature of the change of the specific power of rolling is in good agreement with the linear dependence of the mill roll flange growth when it is introduced into the workpiece.
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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) | 0.002 | 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".