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Record W1621037735 · doi:10.1063/1.1766516

Experimental And Numerical Study Of The Melt Behavior During The Injection Molding Process

2004· article· en· W1621037735 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

VenueAIP conference proceedings · 2004
Typearticle
Languageen
FieldEngineering
TopicInjection Molding Process and Properties
Canadian institutionsNational Research Council Canada
Fundersnot available
KeywordsSprueNozzleMaterials sciencePressure dropShear stressMechanicsMoldFinite element methodShear (geology)Molding (decorative)Isothermal processStress (linguistics)Composite materialStructural engineeringMechanical engineeringEngineeringThermodynamics

Abstract

fetched live from OpenAlex

In this paper the non‐isothermal flow of a melt polymer during the filling of a rectangular plate is investigated both experimentally and numerically. Two pressure sensors were mounted flush on the slightly tapered rectangular sprue of a center gated plate mold to monitor the time evolution of the wall shear stress prior to entering the cavity. For large injection speeds the pressure drop in the sprue presents a maximum shortly after the beginning of the injection. After this point, the wall shear stress in the sprue drops remaining relatively constant during the late stage of the filling. At low injection speed, the wall shear stress in the sprue increases in time continuously because of the cooling. The filling of the plate is computed using a 3D finite element code and the predicted pressure drop in the sprue is compared with the measurements. Solutions obtained with and without considering the flow in the nozzle illustrate that the nozzle induces important thermal effects and thus need to be taken into account in the simulation. The need for three‐dimensional simulation is also illustrated.

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 score0.221
Threshold uncertainty score0.384

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 head0.017
GPT teacher head0.245
Teacher spread0.227 · 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