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Record W2156357630 · doi:10.1109/ultsym.2009.5441580

Modelling ultrasonic wave propagation in a multilayered medium for resistance spot welding

2009· article· en· W2156357630 on OpenAlexaff
J. Kocimski, W.G. Arthur, Paweł Kustroń, Andriy M. Chertov, Roman Gr. Maev, Marcin Korzeniowski, Andrzej Ambroziak

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicAdvanced Welding Techniques Analysis
Canadian institutionsUniversity of Windsor
Fundersnot available
KeywordsFinite element methodWeldingUltrasonic sensorStack (abstract data type)Wave propagationAcousticsMaterials scienceTransformation (genetics)Work (physics)Computer scienceMechanical engineeringStructural engineeringOpticsEngineeringComposite materialPhysics

Abstract

fetched live from OpenAlex

This paper presents the results of modelling ultrasonic wave propagation in multi-layered media. Using a Finite Element Method (FEM), the analysis facilitates an improved understanding of wave behaviour within a typical weld stack-up, enabling one to better visualize phenomena associated with its propagation. In particular, the models developed in this work account for various weld-tip geometries. Here, inhomogeneity is generated by means of an uneven temperature distribution within the sample, in some cases giving rise to material phase transformation.

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 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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.660
Threshold uncertainty score0.585

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
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 head0.021
GPT teacher head0.248
Teacher spread0.226 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designSimulation or modeling
Domainnot available
GenreMethods

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".

Quick stats

Citations4
Published2009
Admission routes1
Has abstractyes

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