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Record W2034454516 · doi:10.1179/003258900665899

Effect of temperature on the behaviour of lubricants during powder compaction

2000· article· en· W2034454516 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

VenuePowder Metallurgy · 2000
Typearticle
Languageen
FieldEngineering
TopicPowder Metallurgy Techniques and Materials
Canadian institutionsNational Research Council CanadaPolytechnique Montréal
Fundersnot available
KeywordsLubricantCompactionMaterials scienceCoefficient of frictionDie (integrated circuit)Composite materialFriction coefficientIron powderShear stressMetallurgyShear (geology)Slip (aerodynamics)Thermodynamics

Abstract

fetched live from OpenAlex

The study of the influence of temperature on the performance of admixed lubricants is important since higher densities are desired while keeping the ejection force at a reasonable level. Therefore, three lubricants admixed with iron powder were evaluated during compaction at 25, 65, and 110°C. An instrumented die permitting the measurement of the applied and transmitted pressures through the compact lead to the evaluation of the slide coefficient. This empirical parameter is related to the stress ratio and to the friction coefficient characterising the friction of the compact on the die wall. The evolution of the slide coefficient revealed a different behaviour at the beginning of compaction, where a higher shear resistance is desirable, compared with the end of compaction, which was more influenced by the amount of lubricant at the interface between the compact and the die wall. A too low shear resistance at that stage could however lead to stick–slip phenomenon.

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 categoriesInsufficient payload (model declined to judge)
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 score0.006
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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)0.0030.000

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 head0.007
GPT teacher head0.229
Teacher spread0.222 · 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