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Fabrication and Reaction Mechanism of <i>In Situ</i> TiC and TiB<sub>2 </sub>Reinforced Mg Matrix Composites

2011· article· en· W1991761398 on OpenAlexaff
Mohammed Shamekh, Martin Pugh, Mamoun Medraj

Bibliographic record

VenueAdvanced materials research · 2011
Typearticle
Languageen
FieldEngineering
TopicAluminum Alloys Composites Properties
Canadian institutionsConcordia University
Fundersnot available
KeywordsMaterials scienceMicrostructureFabricationComposite numberCeramicRelative densityComposite materialAlloyIn situMetalMatrix (chemical analysis)MetallurgyChemistry

Abstract

fetched live from OpenAlex

TiC and TiB2 compounds in the form of interpenetrating network reinforced AZ91D magnesium matrix composites have been successfully synthesized by an in-situ reactive infiltration technique. In this process, the ceramic reinforcement phases, TiC and TiB2, were synthesized in-situ from elemental powders of Ti and B4C without any addition of a third metal powder such as Al. The molten Mg alloy infiltrates the preform of Tip and B4Cp by the capillary force. The microstructure and reaction mechanism are investigated using SEM/EDS and XRD analysis. The results show that the processing parameters such as temperature, holding time and the green compact relative density have a significant influence on the reaction mechanism and the fabrication of the composite. In addition, the infiltrated Mg acts as an intermediary that makes the reaction possible at a lower temperature than that required for solid-state reaction between Ti and B4C. Microstructural characterization reveals a relatively uniform distribution of the reinforcing phases, TiC and TiB2 in the Mg matrix.

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.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.001
Threshold uncertainty score0.002

Distilled classifier scores by category (both heads)

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)0.0010.000

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 head0.026
GPT teacher head0.267
Teacher spread0.241 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations3
Published2011
Admission routes1
Has abstractyes

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