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Record W7027634655

Design for AM & metal AM processes: Presentation held at Additive Manufacturing Workshop with McGill University and Fraunhofer Additive Manufacturing Alliance, September 29, 2017, Montreal

2017· other· en· W7027634655 on OpenAlexaboutno aff

Bibliographic record

VenueFraunhofer-Publica (Fraunhofer-Gesellschaft) · 2017
Typeother
Languageen
Field
Topic
Canadian institutionsnot available
Fundersnot available
KeywordsAerospacePresentation (obstetrics)Alliance3D printingFocus (optics)Selective laser meltingAircraft industryKey (lock)
DOInot available

Abstract

fetched live from OpenAlex

Additive Manufacturing (AM), often simply called as 3D printing, provides unforeseen freedom to design parts with integrated functionalities and optimized performances. It has tremendous potentials for industries such as aerospace industry and medical device manufacturers to develop innovative and high value-added products. This workshop invites Canadian industries to learn the AM research activities at Fraunhofer Additive Manfuacturing Alliance in Germany. Design for AM, Laser beam Melting (LBM) and Electron Beam Melting (EBM) processes will be the focus of this workshop. Current R&D topics on LBM and EBM such as materials and application examples will be presented. Cutting edge industrial applications and trends associated with design for AM and limitations related to current AM technologies will also be discussed. This workshop is a free event. However, due to limited seating capacity for this workshop, advanced registration is required.

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Research integrity, Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.226
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0050.005
Meta-epidemiology (broad)0.0050.001
Bibliometrics0.0030.001
Science and technology studies0.0040.002
Scholarly communication0.0010.004
Open science0.0040.002
Research integrity0.0040.004
Insufficient payload (model declined to judge)0.0090.005

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 head0.036
GPT teacher head0.268
Teacher spread0.232 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreOther

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
Published2017
Admission routes1
Has abstractyes

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