Non-destructive testing of laser welds in tailored blanks using electromagnetic transducers
Bibliographic record
Abstract
An ultrasonic system using electromagnetic acoustic transducers has been developed at the Fraunhofer Institute for Non-Destructive Testing (IZFP), in order to test laser welds in tailored blanks. Shear horizontal modes are exploited to detect different types of defects in the laser welds, such as lack of penetration, lack of fusion, mismatch and cracks. In the present work, studies of the discontinuities of the laser weld that affect specularly reflected and non-specularly signals have been carried out on ferritic sheets. Geometric parameters of the laser weld, such as the fusion-zone width and the discontinuities at the weld root, were measured and compared with the amplitude of the reflected signals. Furthermore, X-ray radiographs and metallography were made to obtain additional information on the different defects, which affect the ultrasonic signal. From our results we conclude that under thickness and incomplete penetration at the root, together with the pores of the weld affect the reflected signal more than any other discontinuity.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.000 | 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 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".