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Record W2089271599 · doi:10.1115/1.1581888

Design of a Slot-Coater-Based Layered-Composites Manufacturing System

2003· article· en· W2089271599 on OpenAlex

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.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueJournal of Manufacturing Science and Engineering · 2003
Typearticle
Languageen
FieldEngineering
TopicManufacturing Process and Optimization
Canadian institutionsQueen's UniversityUniversity of Toronto
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsMaterials scienceComposite numberComposite materialFiberLayer (electronics)Mixing (physics)CoatingBreakageLithographyGlass fiberPhotopolymerPolymerMonomerOptoelectronics

Abstract

fetched live from OpenAlex

This paper addresses the reinforcement of photopolymers, through the addition of short glass fibers, for Rapid Layered Composite parts Manufacturing (RLCM). Novel designs for an (external) fiber-resin-mixing subsystem and a (slot-coating-based) liquid-layer-formation subsystem are presented. These subsystems, when used as integral parts of a lithography-based RLCM system, successfully cope with typical difficulties encountered in the formation of thin layers from a highly viscous fiber-photopolymer composite liquid. Axiomatic Design theory was utilized for the analysis of both subsystem designs. Verification experiments run on an RLCM system confirmed (i) the ability of the fiber-resin-mixing subsystem to supply liquid composite with specified fiber content and to avoid fiber degradation through breakage, as well as (ii) the ability of the liquid-layer-formation subsystem to form solid layers with high fiber content and of uniform thickness.

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)0.001
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: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.728
Threshold uncertainty score0.850

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
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 head0.009
GPT teacher head0.187
Teacher spread0.177 · 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