MétaCan
Menu
Back to cohort
Record W422333170 · doi:10.1299/jsmelem.2005.1.273

Precision Cutting of Thin Plate of Copper by Single Mode Fiber Laser with Newly Designed Nozzle(Laser processing)

2005· article· en· W422333170 on OpenAlexaboutno aff
Hirokazu Tahara, Yoshiyuki UNO, Yasuhiro Okamoto, Ken Shiwayama

Bibliographic record

VenueProceedings of International Conference on Leading Edge Manufacturing in 21st century LEM21 · 2005
Typearticle
Languageen
FieldEngineering
TopicLaser Material Processing Techniques
Canadian institutionsnot available
Fundersnot available
KeywordsMaterials scienceDrossNozzleLaser cuttingLaserCopperFiber laserComposite materialFiberMetallurgyOpticsMechanical engineeringEngineering

Abstract

fetched live from OpenAlex

The fundamental characteristics of laser cutting for thin copper plate by a Q-switched single-mode fiber laser were experimentally investigated, and the effects of the nozzle shape on cutting results were also discussed. High speed cutting of 29mm/s could be carried out with a newly designed nozzle, since high assist gas pressure could be supplied on the workpiece without MSD. Nozzle Laval 800 makes it possible to cut more efficient, since the melted material in the kerf decreases compared to a traditional convergent nozzle. Using a Q-switched single-mode fiber laser, the kerf is very fine, and color change around the kerf is hardly observed by oxidation due to little heat conduction from dross. Therefore, it proved to be available in cutting of thin metal plate.

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 categoriesMeta-epidemiology (narrow)
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 score0.070
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
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 head0.016
GPT teacher head0.245
Teacher spread0.230 · 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.

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

Citations0
Published2005
Admission routes1
Has abstractyes

Explore more

Same venueProceedings of International Conference on Leading Edge Manufacturing in 21st century LEM21Same topicLaser Material Processing TechniquesFrench-language works237,207