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Record W4403508034 · doi:10.2109/jcersj2.24086

Lowering compaction pressure and sintering temperature of alumina using spray freeze granulation dried granules

2024· article· en· W4403508034 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

VenueJournal of the Ceramic Society of Japan · 2024
Typearticle
Languageen
FieldEngineering
TopicFreezing and Crystallization Processes
Canadian institutionsMD Precision (Canada)
FundersMinistry of Economy, Trade and Industry
KeywordsMaterials scienceGranulationCompactionSinteringSpray dryingComposite materialChemical engineeringMetallurgy

Abstract

fetched live from OpenAlex

Spray drying (SD) and spray freeze granulation drying (SFGD) are the granulation processes of ceramic powder. Alumina green body made from SFGD granules via compaction has a relatively uniform structure without inter-granular pores, resulting in higher density and strength in the sintered body. This gives SFGD granules an advantage over SD granules. This study investigates the compaction pressure and sintering temperature of alumina granules produced by SD and SFGD. Using SFGD granules allows for the production of dense high-strength sintered alumina at lower compaction pressures and sintering temperatures. Even with higher compaction pressures applied to SD granules, the achieved sintered density falls short of that obtained with SFGD granules. These findings highlight the additional benefits of using SFGD granules over SD granules.

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 score0.308
Threshold uncertainty score0.305

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 head0.009
GPT teacher head0.219
Teacher spread0.210 · 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