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Record W4415323297 · doi:10.1080/00084433.2025.2571297

Investigation of the physico-technological features of the hydro-vacuum cleaning process for the high-entropy alloy CoCrFeNiMn produced from industrial ferroalloys

2025· article· en· W4415323297 on OpenAlexaff
Gigo Jandieri, David Sakhvadze, Besik Saralidze, Giorgi Sakhvadze

Bibliographic record

VenueCanadian Metallurgical Quarterly · 2025
Typearticle
Languageen
FieldEngineering
TopicHigh Entropy Alloys Studies
Canadian institutionsFédération des Comités de Parents du Québec
FundersShota Rustaveli National Science Foundation
KeywordsFerroalloyAlloyProcess (computing)Manufacturing processRefining (metallurgy)

Abstract

fetched live from OpenAlex

This study reveals the hydro physical mechanism of hydro-vacuum, shockwave and cavitation-pulsation counter gravity flotational extraction of non-metallic micro inclusions inherent in the liquid high-entropy alloy CoCrFeNiMn (HEA) obtained by an original method of combined induction remelting of low- and carbon-free ferroalloys with an elevated content of target metals. The effectiveness of the hydro-vacuum technology of vertical suction, confuser-convective acceleration, and diffusion-hydro mechanical dispersion of an upward flow of molten metal superheated by 100–150 °C is theoretically substantiated and experimentally proven. It has been established that vortex-like radial twisting of tangentially directed cavitation currents in the thrust-forming high-speed annular flow of water-liquid-metal pulp formed in the process of counter-gravity acceleration, with subsequent asymmetric slamming of the caverns formed in it, is the main conditioning factor for generation of ultra-frequency shock waves of rarefaction and flotational supplanting of relatively light nonmetallic inclusions from atomised drop-liquid particles of HEA. The powder obtained by the proposed method, by its purity 98.7–99.4% and hardness 250–300 HV0.5, is practically identical to similar high-entropy materials synthesis,ed from pure metals. The findings can contribute to stimulating the development of the proposed cost-effective and easily scalable approach to the production and cleaning of HEAs of different systems.

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 score0.245
Threshold uncertainty score0.698

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
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 head0.018
GPT teacher head0.214
Teacher spread0.197 · 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

Citations0
Published2025
Admission routes1
Has abstractyes

Explore more

Same venueCanadian Metallurgical QuarterlySame topicHigh Entropy Alloys StudiesFrench-language works237,207