Comparative Research on Laser Percussion and Trepanning Drilling for Superalloy GH4033
Bibliographic record
Abstract
Laser micro-hole machining is one of the earliest laser processing technologies applied in industrial production and has relatively mature techniques. It features a high degree of freedom in material selection, fast drilling speed, high precision, no tool wear, and good economic benefits. Based on the theory of laser micro-hole machining, this paper uses millisecond pulsed lasers to drill high-temperature alloy GH4033 in both percussion and trepanning methods. A comparative study of millisecond laser drilling is carried out from aspects such as experimental research and process analysis. The experimental results show that the optimal parameter combination for laser percussion drilling is as follows: the pulse energy is 3.8 J, the pulse width is 1.0 ms, the repetition frequency is 30 Hz, the auxiliary gas pressure is 0.35 MPa, the defocus amount is 0 mm, and the beam expansion ratio is 4. For laser trepanning drilling, the optimal parameter combination is: the pulse energy is 3.6 J, the pulse width is 2.0 ms, the repetition frequency is 20 Hz, the beam expansion ratio is 4, the number of trepanning circles is 5, and the trepanning speed is 90 mm/min. The pulse energy, beam expansion ratio, and defocus amount have the most significant percussions on the quality of micro-hole machining.
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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) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 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".