Research on eccentric wear and rock breaking mechanism of non-spherical single cone bit
Bibliographic record
Abstract
In order to study the eccentric wear mechanism of non-spherical single cone bit, numerical analysis method is used to establish bit-rock interaction model. Axial and lateral loads of bit are obtained and tooth load curve of bit are analyzed. Tangential, radial, and axial loads of teeth were obtained by numerical method. The peak value is statistically analyzed and the contact time between tooth and rock is analyzed. The results show that there is large axial impacting load, so the rock is broken by tooth combined with impacting and scraping. There is large lateral load during bit breaking rock in horizontal direction and the lateral vibration causes gauge teeth wear. Lateral load will cause bit tilting resulting in irregular well trajectory and bit lateral vibration will cause irregular hole cross-section. Teeth load of each rings is different and No.3 tooth’s load is largest in each direction. The contact time of No. 5, 6, 7, and 8 teeth is longer from entering to leaving rock, so the rock breaking method of these tooth is mainly through scraping. No. 1, 2, 3, and 4 teeth contact rock for a short time, indicating that the rock-breaking method has a greater impact on the rock.
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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 | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 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".