Effect of Atmospheric Plasma Paint Removal on the Fatigue Performance of 2024-T3 Aluminium Alloy Sheet
Bibliographic record
Abstract
This article documents fatigue testing that was conducted using as-painted (baseline) and Atmospheric Plasma de-painted specimens made of 0.063 inch thick 2024-T3 aluminium alloy sheet. The intent of the test program was to determine whether AP de-painting would alter the fatigue properties of this aluminium substrate. AP de-painting process parameters were selected based on previous work that would remove the topcoat, while leaving most of the primer intact. This process was repeated five times to simulate service experience, where aircraft typically undergo five paint/de-paint cycles in their lifetime. As-painted (baseline) and five times de-painted specimens were fatigue tested under constant amplitude conditions, at two load ratios and several maximum stress levels. Ten samples per condition were used to establish statistical behaviour and repeatability. The test results and statistical analysis demonstrated that the selected AP process parameters did not have a detrimental effect on the fatigue performance of 2024-T3 aluminium alloy sheet.
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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 | 0.000 | 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) | 0.001 | 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".