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Record W4389207046 · doi:10.22215/etd/2023-15801

Investigation of Oxidation Performance of Co-Cr-Fe-Ni based High Entropy Alloys in Supercritical-CO2 Environment

2023· dissertation· en· W4389207046 on OpenAlexafffund
Margarita Ilinich

Bibliographic record

Venuenot available
Typedissertation
Languageen
FieldEngineering
TopicHigh Entropy Alloys Studies
Canadian institutionsCarleton University
FundersNatural Resources Canada
KeywordsMaterials scienceSupercritical fluidSuperalloyAlloyMicrostructureHigh pressureHigh entropy alloysNialMetallurgyChemical engineeringIntermetallicThermodynamics

Abstract

fetched live from OpenAlex

This work presents the first oxidation studies of Co-Cr-Fe-Ni-based high entropy alloys (HEAs) in supercritical-CO2 (sCO2). The alloys studied here are CoCrFeMnNi, Al0.5CoCrFeMnNi1.5, Al0.5CoCrFeNi1.5, (CoCrFeMnNi)Si0.01, CoCrFe0.5MnNi1.5. They are being evaluated as alternatives to commercial superalloys for construction of select components in sCO2 power cycles. The pre-exposure results show that Al0.5CoCrFeMnNi1.5 and Al0.5CoCrFeNi1.5 compositions form γ/γ’ microstructure, desirable for high-strength applications, while the exposure to sCO2 at elevated temperatures (500-700°C) and pressure (20 MPa) causes formation of ordered B2 NiAl phases dispersed within the matrix. Al0.5CoCrFeNi1.5 is the only composition that forms detectable protective Cr2O3 after 300 hours at 500°C/20MPa, as well as after 600 hours at 700°C/MPa. Additionally, the results indicate that similar to conventional alloy systems, the oxidation of HEAs increases with temperature, however, Al0.5CoCrFeNi1.5 exhibited nearly the same mass gain at both temperatures after 300 and 600 hours. It also showed promise as an alternative to commercial superalloys.

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 categoriesMeta-epidemiology (narrow)
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 score0.132
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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 head0.011
GPT teacher head0.217
Teacher spread0.206 · 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.

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

Citations0
Published2023
Admission routes2
Has abstractyes

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Same topicHigh Entropy Alloys StudiesFrench-language works237,207