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Epoxy Mold Compound Curing Behavior and Mold Process Cure Time Interaction on Molded Package Performance

2019· article· en· W3012151347 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

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicEpoxy Resin Curing Processes
Canadian institutionsNexen (Canada)
Fundersnot available
KeywordsMoldMaterials scienceCuring (chemistry)Composite materialEpoxyMolding (decorative)Transfer moldingDelamination (geology)Isothermal processAdhesive

Abstract

fetched live from OpenAlex

Epoxy mold compound curing behavior is a fundamental material property which affects the molding process and molded package performance. This paper aims to understand the effect of different cure time settings at isothermal conditions on mold compound material properties, molding process, and package quality and reliability through material characterization, thermal analysis, moldability, delamination response, package bending strength measurements and reliability testing. Overall results showed that longer mold cure time results to an increase in curing density due to better crosslinking of the epoxy-resin network and corresponds to improved mechanical properties and adhesion. Package delamination response and bending strength also improved with longer cure time. Moisture absorption and reliability were not affected by the different mold cure time settings after PMC was applied during assembly process. Understanding the interaction of mold compound curing behavior and optimum molding cure time parameter on molded package performance results to significant manufacturing productivity and equipment capacity improvement without sacrificing desired material properties, package integrity and reliability.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.454
Threshold uncertainty score0.996

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 communication0.0000.001
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 head0.234
Teacher spread0.225 · 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

Quick stats

Citations5
Published2019
Admission routes1
Has abstractyes

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