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Record W1519233955 · doi:10.4271/2004-01-1750

S/MA Resin Recovery System and Recycling in OEM Specification Foam / Covered Instrument Panels

2004· article· en· W1519233955 on OpenAlexaff
Mark A. Lieberman, M. Latture, P. Juneau-Stetkiw, Eileen Gallihugh, Michelle Rudd, Michael Masserant, Timothy McCollum, Robert Kottyan, S. Paul Hmiel

Bibliographic record

VenueSAE technical papers on CD-ROM/SAE technical paper series · 2004
Typearticle
Languageen
FieldEngineering
TopicNon-Destructive Testing Techniques
Canadian institutionsNova Chemicals (Canada)
Fundersnot available
KeywordsOriginal equipment manufacturerManufacturing engineeringProcess engineeringComputer scienceEngineeringOperating system

Abstract

fetched live from OpenAlex

<div class="htmlview paragraph">Several million pounds of S/MA glass reinforced resin has been successfully recovered from manufacturing offal and reject foamed / covered Instrument Panels (IP's) over the past ten years. ACI-WIPAG and Visteon recovered high quality S/MA resin, prepared blends with virgin resin and injection-molded IP substrates meeting OEM specifications. This “S/MA Resin Reclaim” process has been an economical and environmental success; minimized landfill volume, reduced landfill disposal costs, recovered a valuable resource, increased material utilization and reduced raw material costs.</div> <div class="htmlview paragraph">This paper reports on a new system and process to recover S/MA glass reinforced resin from manufacturing trim offal and reject IP's, blending and supplying OEM specification resin blends for molding instrument panel substrates. The system demonstrated economical recovery of an excellent quality “Reclaim” resin, blend consistency and uniformity for injection molding instrument panel substrates.</div>

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 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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
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 score0.950
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0010.002
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 head0.019
GPT teacher head0.234
Teacher spread0.215 · 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 teacher head, not a consensus.

Study designBench or experimental
Domainnot available
GenreEmpirical

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

Citations1
Published2004
Admission routes1
Has abstractyes

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