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Isothermal Oxidation of SLM fabricated Mo(Si1-xAlx)2-based composite

2021· article· en· W3164391252 on OpenAlexaff
Tatevik Minasyan, Le Liu, Ehsan Toyserkani, Irina Hussainova

Bibliographic record

VenueIOP Conference Series Materials Science and Engineering · 2021
Typearticle
Languageen
FieldEngineering
TopicIntermetallics and Advanced Alloy Properties
Canadian institutionsUniversity of Waterloo
Fundersnot available
KeywordsMaterials scienceSpark plasma sinteringIsothermal processComposite numberOxideLayer (electronics)Dwell timeSinteringChemical engineeringMetallurgyComposite material

Abstract

fetched live from OpenAlex

Abstract Near full dense C40 hexagonal structured Mo(Si 1-x Al x ) 2 -based composite coupons with 7 mm diameter by 7 mm height were prepared by selective laser melting (SLM) of MoSi 2 -30 wt.% AlSi10Mg powder mixture and subjected to isothermal oxidation. As a reference, MoSi 2 bulk sample was prepared by spark plasma sintering (SPS) technique. The quantitative oxidation tests were conducted in dry air atmosphere at 500 °C for 72 and 120 hours with three specimens for each dwell time. The estimated weight change after 120 h oxidation accompanied with the SEM analysis revealed the slow oxidation of the SPS prepared MoSi 2 bulk sample without evidence of pesting, however, the formed oxide layer was not protective and contained large cracks and multiple microcracks. The SLM produced sample showed remarkably slower oxidation rate as well as the formation of only a nanoscale oxide layer, highlighting the significant influence on Al additive to enhance MoSi 2 oxidation resistance, thus making the developed material promising to be used as heating element.

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 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 score0.010
Threshold uncertainty score0.613

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 communication0.0000.001
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 head0.012
GPT teacher head0.196
Teacher spread0.184 · 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 teacher head, 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

Citations1
Published2021
Admission routes1
Has abstractyes

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