Laser Ultrasonics as an Alternative Inspection Method to Detect Microstructural Flaws in Aerospace Structures and Engines Manufactured by Advanced Metallic Material Processes
Bibliographic record
Abstract
Advanced metallic material processes are used or developed for the production and the reparation of heavily loaded flying components. The inspection of these parts mainly made out of Titanium requires the determination of the percentage of bonded grain or the search for isolated defects which take the form of voids of different sizes around 10 to 30 µm or more, or gaps ranging from the intimate contact to disbond up to 20 µm. Ultrasonic techniques have the greatest potential for defect detection and sizing, unfortunately the smallest defect size can be much less than the wavelength of conventional ultrasound. Therefore, it has led us to use higher frequency equipments from 50 up to 150 MHz, point focusing transducers, signal processing techniques and high resolution mechanical scanning rigs. For a few years, a large amount of work has been carried out on ultrasound generated by pulsed laser, particularly in metallic materials such as aluminium and then in non metallic materials such as composites. Results using a picosecond pulsed laser have enabled to offer an alternative for the inspection of complex geometry parts. High ultrasonic frequencies can be generated and detected, supported by Fourier domain Synthetic Aperture Focusing Technique processing. Developments and comparative tests have been carried out to evaluate the potential of this method.
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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".