Development of Long-Life Heading Tool with Stress Reduction Structure
Bibliographic record
Abstract
In recent years, a decrease in tool life has been observed in the manufacturing of small screws for precision instruments by cold heading because of the complication of the head shape and hard workpiece material. Thus, remarkable cost saving and high productivity could be achieved by increasing the tool life used in the cold heading of screws such as an M2 pan head screw made of SWCH16A. The prevalent methods of improving the tool life are related to the wear or stiffness enhancement of the tool. In the present study, we propose a method of improving the tool life related to the elastic strain energy absorbed by the tool. First, we analyzed the heading tool for forming the M2 pan head screw, which had a structure configuration for reducing stress in the tool, using the finite element method (FEM) code. Second, the dimensions of the structure configuration of the tool with a hollow section were optimized by FEM analysis. Then, the tool life was increased successfully. The tool life of the developed heading tool was increased 3.7 times compared with that of a conventional heading tool.
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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 | 0.000 | 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 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".