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Record W4402457062 · doi:10.1016/j.procir.2024.08.099

A first approach of Laser Mesh Cladding

2024· article· es· W4402457062 on OpenAlex
Thomas Girerd, Omkar Mypati, Marco Simonelli, Andres Gameros, Andy Norton, Adam T. Clare

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

VenueProcedia CIRP · 2024
Typearticle
Languagees
FieldEngineering
TopicAdditive Manufacturing Materials and Processes
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsCladding (metalworking)LaserMaterials scienceComputer scienceMechanical engineeringEngineeringOpticsComposite materialPhysics

Abstract

fetched live from OpenAlex

Controlling the heat input and exploring alternate feedstocks for DED is necessary to improve the versatility of this technique. A novel approach DED is investigated by implementing a new control method for energy beam scanning oscillation and utilising a new feedstock: metallic meshes. This represents the first exploration of ‘laser mesh cladding (LMC)’. Under certain conditions, the clads show similar results of wire and powder DED producing dense clads with no large pores, grain refinements at the edges of the clads and a layer height of 0.6 mm. Secondly, with the same laser process parameters for two different meshes, LMC produced fully dense clads with the denser mesh creating slightly smaller melted area. This then manifests as a new cladding operation where material input and energy input can be manipulated during the deposition for a total process flexibility.

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)0.000
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: Systematic review · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.605
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
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)0.0010.000

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 head0.011
GPT teacher head0.218
Teacher spread0.207 · 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