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Record W2009309014 · doi:10.1115/fedsm2014-21924

Flashing of Pressurized Slurry in Metallurgical Processing: A Review of the State of the Art, Operational Experiences, and Recommendations for Future Research

2014· review· en· W2009309014 on OpenAlexaff
Adam Blackmore, Umesh Shah, Murray Pearson, Atanasis Plikas, Bonnie Sim

Bibliographic record

Venuenot available
Typereview
Languageen
FieldEnvironmental Science
TopicErosion and Abrasive Machining
Canadian institutionsUniversity of New BrunswickHatch (Canada)
Fundersnot available
KeywordsFlashingPipingSlurryWork (physics)Current (fluid)EngineeringComputer scienceMechanical engineeringRisk analysis (engineering)Forensic engineeringProcess engineeringMaterials scienceMetallurgyElectrical engineeringBusiness

Abstract

fetched live from OpenAlex

Flashing of high temperature, pressurized slurry within hydrometallurgical processing circuits is a commonly encountered multiphase flow scenario, which can lead to catastrophic equipment failure and serious operational problems if not designed correctly. The current work aims to shed light on the state of the art modelling and experimentation, important physical phenomena, and recent operational experience surrounding this problem. In addition, recommendations will be provided for future modelling and experimental efforts in order to direct research into avenues that provide valuable information for engineers designing piping and vessels where the flashing of high pressure slurry occurs.

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)0.002
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: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.961
Threshold uncertainty score0.789

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
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 science0.0010.000
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 head0.090
GPT teacher head0.414
Teacher spread0.323 · 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 designNot applicable
Domainnot available
GenreReview

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

Citations2
Published2014
Admission routes1
Has abstractyes

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