Laser-ultrasonic measurements of residual stresses on aluminum 7075 surface-treated by low plasticity burnishing
Bibliographic record
Abstract
A convenient non-destructive means of characterizing residual stresses would be highly desirable. Ultrasonics is one of very few techniques which might succeed at this. However, the effects of residual stresses on ultrasound propagation are small and can be hidden by other material properties, especially crystallographic texture. The traditional ultrasonic approach has been to compare the surface before and after surface processing, assuming that texture remains unchanged. However, surface processing does affect surface texture and the traditional approach often fails. In this paper, we present a novel method to measure surface residual stresses with ultrasound when the process also modifies surface texture. Then, we apply this method to a sample of aluminum 7075-T651 surface treated using low-plasticity burnishing (LPB). This technique can produce a very smooth surface, a stress gradient that penetrates relatively deeply into the material, and an anisotropy of the residual stresses. The velocity of surface acoustic waves (Rayleigh waves and surface skimming longitudinal waves) was measured as a function of propagation direction and frewquency on as-received and LPB-treated surfaces. The observed differences are used to estimate the magnitudes and directions of the two principal components of the residual stresses indiced by the LPB process, independently of surface texture modifications.
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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) | 0.001 | 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 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".