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Record W4320013108 · doi:10.53063/synsint.2022.24131

Synthesizability improvement of B4C ceramics by optimizing the process temperature and atmosphere

2022· article· en· W4320013108 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

VenueSynthesis and Sintering · 2022
Typearticle
Languageen
FieldEngineering
TopicAluminum Alloys Composites Properties
Canadian institutionsnot available
Fundersnot available
KeywordsAtmosphere (unit)Reducing atmosphereCeramicMaterials scienceBoric acidImpurityControlled atmosphereChemical engineeringProcess engineeringMetallurgyChemistryOrganic chemistryMeteorologyEngineeringPhysics

Abstract

fetched live from OpenAlex

In this research, the effects of synthesis temperature, holding time, and furnace atmosphere on the synthesizability of B4C ceramics using glucose and boric acid as the starting materials were scrutinized. Three temperatures of 1300, 1400, and 1500 °C were selected as synthesis temperatures. The synthesis process was carried out in a tubular furnace for 4 h in Ar atmosphere. To scrutinize the interactive effect of synthesis temperature and holding time, three samples were synthesized at 1500, 1400, and 1300 °C for 4, 8, and 12 h, respectively. Moreover, two types of controlled atmospheres, traditional Ar and an innovative CO/CO2 setup, were considered to optimize the synthesis process. X-ray diffraction (XRD) patterns were employed to determine the optimum synthesis temperature and atmosphere based on the detection of B4C peaks as the desired product and undesirable hydrocarbon and carbon byproducts. The results showed that B4C synthesized at 1500 °C for 4 h in Ar atmosphere contained the least byproduct impurities, so this temperature was chosen as the optimal choice. However, the sample fabricated at 1400 °C for 8 h is a good choice in cases where lower manufacturing temperatures are desired. The efficiency of the innovative setup was similar to the traditional one; therefore, considering the economic aspects, the CO/CO2 atmosphere was chosen as an acceptable option for B4C synthesis.

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 score0.134
Threshold uncertainty score0.454

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 head0.004
GPT teacher head0.173
Teacher spread0.169 · 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