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Record W1951227150 · doi:10.1139/cjp-2012-0558

Experimental investigation on stainless steel welding with a 15 kW fibre laser

2013· article· en· W1951227150 on OpenAlexaffvenue
Mathieu Foster, R. Beaulieu, Lorraine Blais, Guillaume Caron, Michel Langlois

Bibliographic record

VenueCanadian Journal of Physics · 2013
Typearticle
Languageen
FieldEngineering
TopicWelding Techniques and Residual Stresses
Canadian institutionsOptech (Canada)Cegep de La PocatiereNovika Solutions
Fundersnot available
KeywordsPlumeOpticsLaserWeldingPlasmaLaser beam weldingPhysicsWavelengthAttenuationKeyholeIonizationBeam (structure)Beam parameter productLaser beam qualityMaterials scienceLaser beamsComposite materialThermodynamics

Abstract

fetched live from OpenAlex

In the present study, attenuation of the laser beam because of the induced plume during bead-on-plate welding of an austenitic stainless steel plate with a 15 kW fibre laser beam, was investigated to better understand laser welding phenomena. A high-speed video camera was used to monitor the plume and keyhole behaviour. Attenuation and refraction levels, due to the induced plume, were measured by different wavelengths laser probes. Finally, a high resolution spectrometer was used to analyze spectral emission from the induced plasma plume by the fibre laser beam. The Boltzmann plot method was used to estimate the temperature of laser-induced plasma plume and Saha’s equation was applied to calculate the ionization degree.

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 imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.015
GPT teacher head0.199
Teacher spread0.184 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

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

Citations8
Published2013
Admission routes2
Has abstractyes

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