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Record W2222410142 · doi:10.1139/tcsme-2006-0026

DESIGN AND VERIFICATION OF A CLAMPING SYSTEM FOR MICRO-INJECTION MOLDING MACHINE

2006· article· en· W2222410142 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.

venuePublished in a venue whose home country is Canada.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueTransactions of the Canadian Society for Mechanical Engineering · 2006
Typearticle
Languageen
FieldEngineering
TopicInjection Molding Process and Properties
Canadian institutionsnot available
Fundersnot available
KeywordsClampingInjection molding machineMolding (decorative)AutomationMechanical engineeringMoldEngineeringComputer scienceMaterials scienceComposite material

Abstract

fetched live from OpenAlex

Precision injection molding technology can be applied for the computer, communication, electric appliance and medical components industries. This paper presents a new design of a tiebarless clamping system for micro-injection molding machine. The tiebarless clamping system can provide lots of convenience, such as more mold space for automation etc., for a micro-injection molding machine. Good parallel precision between stationary platen and movable platen of a clamping system is an important feature for high precision injection molding. With special mechanism of this tiebarless clamping system, the movable platen will deform with the stationary platen synchronously under high clamping force to maintain the parallelism. Via tests and verifications, the parallel precision is controlled at good condition under 6 tons of clamping force.

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: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.943
Threshold uncertainty score0.406

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 head0.012
GPT teacher head0.182
Teacher spread0.170 · 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