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Record W1560581193 · doi:10.1002/pat.3322

Microinjection molding of polyamide 6

2014· article· en· W1560581193 on OpenAlexfundno aff
Tânia Ferreira, Paulo E. Lopes, A. J. Pontes, María C. Paiva

Bibliographic record

VenuePolymers for Advanced Technologies · 2014
Typearticle
Languageen
FieldEngineering
TopicInjection Molding Process and Properties
Canadian institutionsnot available
FundersRyerson UniversityUniversidade de Aveiro
KeywordsMicroinjectionPolyamideMaterials scienceDifferential scanning calorimetryCrystallinityExtrusionMolding (decorative)Composite materialPolarized light microscopyMicrostructurePolymerOptical microscopeScanning electron microscopeOptics

Abstract

fetched live from OpenAlex

Processing polymers by microinjection molding (μIM) generate specific constraints upon the polymer melt such as high shear stress and rapid cooling, leaving a mark upon the microstructure of the micropart. The present work compares the morphology and structure of polyamide 6 samples produced by melt extrusion and μIM. The specimens obtained were analyzed by polarized light microscopy, differential scanning calorimetry, and wide-angle X-ray diffraction. α and γ crystalline forms were formed in polyamide 6 samples prepared by both methods. The γ form was dominant in the skin of the microinjection molded part, with larger contribution for these samples compared with extruded samples. The conditions used in μIM lead to considerable orientation at the skin region, decreasing toward the core, while the extruded samples showed almost no orientation. The overall degree of crystallinity of the microinjection molded part was lower compared with the extruded sample. Copyright © 2014 John Wiley & Sons, Ltd.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation 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: Methods · Consensus signal: none
Teacher disagreement score0.001
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

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 head0.006
GPT teacher head0.202
Teacher spread0.196 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreMethods

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

Citations14
Published2014
Admission routes1
Has abstractyes

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