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Experimental Study of the Matrix Heat Exchanger Related to Cryogenic Distillation Processes of Hydrogen Isotopes

2023· article· en· W4389888478 on OpenAlexfundno aff
Claudia Bogdan, Sebastian Brad, Horia Necula

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldDecision Sciences
TopicAdvanced Scientific and Engineering Studies
Canadian institutionsnot available
FundersOntario Ministry of Research, Innovation and Science
KeywordsHeat exchangerDistillationMaterials scienceThermodynamicsNuclear engineeringCryogenicsFractionating columnNTU methodHydrogenPlate fin heat exchangerShell and tube heat exchangerPlate heat exchangerMechanicsChemistryChromatographyEngineeringPhysics

Abstract

fetched live from OpenAlex

This study aims to present the experimental tests of the Matrix Heat Exchanger developed within the Low Temperature Laboratory of ICSI Rm. Valcea under variable parameter values, such as mass flow rate, regarding the apparatus efficiency. We further study paths to increase the cryogenic efficiency of distillation column based of its active components, such as condensers, boilers, heat exchangers, which typically are connected to a comprehensive process system. Due to the unique construction, the heat exchanger, through the tests and experiments carried out, shows excellent heat exchange properties for low flows and pressures. The device satisfies various aspects, such as a high degree of compactness, intense heat transfer, low axial conductivity and a uniform flow distribution, properties that give to the heat exchanger an important role in a plant for cryogenic distillation of the H2-HD-D2 mixture to be separated, for hydrogen pre-cooling and its preparation upon entering the distillation columns.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.002
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
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 science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.064
GPT teacher head0.380
Teacher spread0.316 · 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 source (direct Gemma or distilled Codex), 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
Published2023
Admission routes1
Has abstractyes

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