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Record W1493814847 · doi:10.4271/2001-01-0399

Green Machining Of P/M Parts Using Enhanced Green Strength Lubricating Systems

2001· article· en· W1493814847 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

VenueSAE technical papers on CD-ROM/SAE technical paper series · 2001
Typearticle
Languageen
FieldEngineering
TopicInjection Molding Process and Properties
Canadian institutionsNational Research Council CanadaFédération des Comités de Parents du Québec
Fundersnot available
KeywordsMachiningLubricationMaterials scienceSinteringWaxCompactionComposite materialLubricantMetallurgy

Abstract

fetched live from OpenAlex

<div class="htmlview paragraph">P/M parts are often machined after sintering to meet tight dimensional tolerances or accommodate design features that cannot be molded during compaction. The development of new polymeric lubricants opens the possibility of machining P/M components prior to sintering, which could result in a considerable reduction of machining costs.</div> <div class="htmlview paragraph">This study compares the green and ejection characteristics of binder-treated FC-0205 mixes containing either a new high green strength lubricating system or conventional EBS wax. The comparison was carried out on TRS specimens and gears pressed from 6.8 to 7.2 g/cm<sup>3</sup> on laboratory and production scale presses. The influence of these lubricating systems on green machining was also determined on gear shape specimens pressed to 6.8 and 7.0 g/cm<sup>3</sup>. Results showed that mixes containing the new lubricating system exhibit similar compressibility and a better lubrication behavior than mixes admixed with the conventional EBS wax. Moreover, the green strength of gears produced with the new lubricating system was sufficiently high to enable machining in the green state.</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.

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)0.000
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 score0.969
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.001
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 head0.021
GPT teacher head0.244
Teacher spread0.223 · 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