Effects of lubrication modes on part quality during drilling 6061-T6 aluminium alloy
Bibliographic record
Abstract
The main objective of this research is to investigate the effects of the cutting fluid and application mode (dry, mist and flood drilling) and its interaction with cutting parameters on part quality during the drilling of 6061-T6 aluminium alloys. The part quality criteria include the burr form and sizes, and surface finish as well as the cutting forces generated. A multi-factorial design (DOE) is used to plan test and statistical analyses are used to determine the effects of lubrication and cutting parameters on part quality. The parameters governing the part quality are different from those governing the cutting force; the burr height and the surface roughness are mostly influence by cutting speed, cutting fluid modes and feed rate while the cutting force is mainly determined by the feed rate. It is found that dry machining and mist machining can produce parts whose quality is comparable to what is obtained in wet machining, when optimal cutting conditions are used.
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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 | 0.001 | 0.001 |
| 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".