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Record W1977623649 · doi:10.1080/10589750701327874

Non-destructive testing of laser welds in tailored blanks using electromagnetic transducers

2007· article· en· W1977623649 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueNondestructive Testing And Evaluation · 2007
Typearticle
Languageen
FieldEngineering
TopicNon-Destructive Testing Techniques
Canadian institutionsSGS (Canada)
Fundersnot available
KeywordsMaterials scienceLaserWeldingClassification of discontinuitiesUltrasonic testingTransducerAcousticsUltrasonic sensorNondestructive testingPenetration depthOpticsComposite materialPhysics

Abstract

fetched live from OpenAlex

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.

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.694
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.042
GPT teacher head0.294
Teacher spread0.252 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it