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Record W3157765807 · doi:10.1111/jace.17865

Promoting in situ formation of core‐shell structured carbides in high‐Cr cast irons by boron addition

2021· article· en· W3157765807 on OpenAlexafffund
Jiaqi Li, Yunqing Tang, Xiaodong Tang, Dongyang Li

Bibliographic record

VenueJournal of the American Ceramic Society · 2021
Typearticle
Languageen
FieldMaterials Science
TopicMetal Alloys Wear and Properties
Canadian institutionsUniversity of Alberta
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsMaterials scienceCarbideBoron carbideMetallurgyCast ironHardfacingShell (structure)Core (optical fiber)Phase (matter)Composite material

Abstract

fetched live from OpenAlex

Abstract M 7 C 3 carbide is an important reinforcing phase in high‐Cr cast irons, ferrous alloys, metal‐matrix composites, and hardfacing overlays. However, the mismatch at the carbide/matrix interface due to the differences in structure and mechanical strength between the carbide and metallic matrix may lower the resistance of the material to mechanical attack, such as wear, corresponding to increased risk of interfacial failure or the role of the interfacial mismatch as a stress raiser for crack initiation. Recent studies on high‐Cr cast irons (HCCI; Fe‐45%Cr‐%C series) show that core(M 7 C 3 )‐shell(M 23 C 6 ) structured carbides (CSSCs) help minimize the misfit stress at the interface between carbide and matrix, thus enhancing their resistance to wear. However, such core‐shell structured carbide does not always form. It is of importance to understand the mechanism responsible for the formation of CSSC for maximized benefits. In this study, we conducted thermodynamic analysis to investigate the conditions for in situ forming CSSCs in HCCIs and determine the probability of generating CSSCs through alloying elements. Both thermodynamic analysis and first‐principles calculations demonstrate that the core‐shell structured carbide can be in situ formed in HCCIs by alloying with elements such as boron, which increases the stability of M 23 C 6 with lowered energy. Relevant experiments were performed to verify the theoretical analysis and prediction.

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 score0.038
Threshold uncertainty score0.226

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 head0.015
GPT teacher head0.240
Teacher spread0.225 · 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

Citations5
Published2021
Admission routes2
Has abstractyes

Explore more

Same venueJournal of the American Ceramic SocietySame topicMetal Alloys Wear and PropertiesFrench-language works237,207