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Record W7132440392

Benefits of supercritical CO₂ debinding for titanium powder injection moulding?

2010· article· en· W7132440392 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

VenueNPARC · 2010
Typearticle
Languageen
FieldEngineering
TopicInjection Molding Process and Properties
Canadian institutionsnot available
Fundersnot available
KeywordsSupercritical fluidTitaniumEnvironmentally friendlyTitanium alloyTitanium dioxideTitanium powderContamination
DOInot available

Abstract

fetched live from OpenAlex

Supercritical CO₂ debinding has been described as a clean and environmentally friendly alternative to other debinding routes. The claims are that SC-CO₂ should prevent oxidation, lead to less defects and reduce the debinding time. This appears therefore as the process of choice for titanium MIM since this material is very sensitive to contamination by interstitial elements during the whole process which, in turn, affects the mechanical properties and integrity required for demanding sectors such as biomedical. In this paper, the potential benefits of using the SC-CO₂ technology for titanium MIM parts have been evaluated as a replacement for the conventional immersion in solvent process. The efficiency of the debinding processes (SC-CO₂ and hexane) as well as their effect on final properties of titanium MIM dental implants, and in particular on interstitials composition (C wt.%, O wt.% and N wt.%) and dimensional variations will be presented and discussed, as a function of the processing debinding parameters.

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: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.028
Threshold uncertainty score0.320

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 head0.015
GPT teacher head0.231
Teacher spread0.216 · 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