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Record W2036863437 · doi:10.1002/pen.20333

Comparison of experimental and analytical vibration welding meltdown‐time profiles for nylon 66 and polypropylene

2005· article· en· W2036863437 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.

Bibliographic record

VenuePolymer Engineering and Science · 2005
Typearticle
Languageen
FieldEngineering
TopicMaterial Properties and Processing
Canadian institutionsQueen's UniversityRoyal Military College of Canada
Fundersnot available
KeywordsPolypropyleneMaterials scienceNylon 66Nylon 6Composite materialWork (physics)WeldingPolymerShear (geology)Shear rateViscosityMechanicsThermodynamicsPolyamide

Abstract

fetched live from OpenAlex

Abstract This work presents experimental meltdown‐time profiles for nylon 66 and polypropylene and compares them with predictions obtained by applying the analytical model developed by Stokes [] . A methodology is presented for obtaining approximate estimates of shear rates and temperatures developed within the molten polymer during the process. Use of the corresponding melt viscosity values as inputs in the model yielded good agreement between experimental data and model predictions. Predictions of melt film thicknesses, maximum melt temperatures, and shear rates are also presented. POLYM. ENG. SCI., 45:789–797, 2005. © 2005 Society of Plastics Engineers

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 categoriesnone
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 score0.486
Threshold uncertainty score0.329

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)0.0000.000

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 head0.015
GPT teacher head0.262
Teacher spread0.247 · 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