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Record W2898028349 · doi:10.2351/1.5057243

The influence of the assist gas flow regime on the laser cutting of aeronautic aluminium alloys

2010· article· en· W2898028349 on OpenAlexaboutno aff
A. Riveiro, F. Quintero, R. Comesaña, M. Boutinguiza, F. Lusquiños, J. Pou

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicLaser Material Processing Techniques
Canadian institutionsnot available
Fundersnot available
KeywordsLaser cuttingNozzleSupersonic speedAerodynamicsAluminiumMaterials scienceMechanical engineeringLaserLaser beam machiningJet (fluid)Aerospace engineeringWork (physics)Rotational symmetryFlow (mathematics)MechanicsOpticsComposite materialEngineeringLaser beamsPhysics

Abstract

fetched live from OpenAlex

The aerodynamic interactions of the assist gas during fusion laser cutting determine the cutting performance. Therefore, this subject has been object of multiple studies in order to surpass the drawbacks exhibited by conventional cutting heads. Utilization of off-axis De Laval nozzles to inject a supersonic gas jet has been demonstrated to be an effective option to increase performance and cut quality during fusion laser cutting. However, all attempts performed in this direction have been carried out using axisymmetric supersonic nozzles. In this work, cutting results performed by means of a novel cutting head incorporating an off-axis nozzle with rectangular cross section are presented. The results demonstrate the capability of this novel approach to laser cut difficult materials such as Al-Cu alloys for aeronautic applications.

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.019
Threshold uncertainty score0.213

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 science0.0010.000
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 head0.006
GPT teacher head0.200
Teacher spread0.194 · 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 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

Citations1
Published2010
Admission routes1
Has abstractyes

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