TRANSITION, CONVERGENCE AND CONSTANCY IN RADIUSED ENTRY CROSS-BORED CYLINDERS
Bibliographic record
Abstract
A 3D FEM computer program was developed to establish the stress distributions and SCFs in thick walled cylinders with radiused entry flush and non-protruding cross bores under internal pressure. The displacement formulation and eight noded brick isoparametric elements were used. The Frontal solution technique was used due to the limited computing facilities. The variation of SCF with entry radius to main bore radius ratio was established for varying cylinder outer radius to main bore radius ratio and cross bore to main bore radius ratio. For low values of cylinder outer radius to main bore radius ratio (≤2.25), the lower values of cross bore to main bore radius ratio resulted in lower SCFs. For high values of cylinder outer radius to main bore radius ratio (>2.25), the lower values of cross bore to main bore radius ratio resulted in higher SCFs. The cylinder with cylinder outer radius to main bore radius ratio of 2.25 was found to be a transition geometry. For very small values of cross bore to main bore radius ratio, the SCFs converged to a value of 2.2 for entry radius to main bore radius ratio of 0.2. The cylinder outer radius to main bore radius ratio of 1.75 to 3 cylinders had a constant SCF value of 2.3 at cross bore to main bore radius ratio of 0.05 and entry radius to main bore radius ratio of 0.2. A new categorization of cylinders earlier proposed in the study of plain cross-bored cylinders is further validated.
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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 | 0.001 | 0.002 |
| 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 | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".