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Record W4283592582 · doi:10.11159/ffhmt22.192

Polymeric Hollow Fiber Heat Exchangers in Higher Temperatures

2022· article· en· W4283592582 on OpenAlexvenueno aff
Tereza Kroulíková, Erik Bartuli, Tereza Kůdelová

Bibliographic record

VenueProceedings of the ... International Conference on Fluid Flow, Heat and Mass Transfer · 2022
Typearticle
Languageen
FieldEngineering
TopicHeat Transfer and Optimization
Canadian institutionsnot available
FundersMinisterstvo Školství, Mládeže a Tělovýchovy
KeywordsMaterials scienceHeat exchangerFiberComposite materialMicro heat exchangerThermodynamicsPlate heat exchangerPhysics

Abstract

fetched live from OpenAlex

Fifteen years ago, polymeric hollow fibre heat exchangers were presented for the first time.Nowadays there are not only the shell-and-tube types as there were at the beginning.They are lightweight, easy to machine and forming.Due to the corrosion and chemical resistance, they have a potential in the chemical applications.The low thermal conductive of plastics is overcome by usage of thin wall which makes them an alternative in low temperature application.This study focusses on the special cases where the polymeric hollow fiber heat exchanger can be used in temperatures higher than recommended.Two experiments were done.The polyamide hollow fiber heat exchanger was placed inside the wind tunnel with flue gas flowed and the water at coolant side.In such a setup the heat exchanger can withstand the temperature higher than suitable for operating and even the temperature of melting point.

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)0.000
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 score0.003
Threshold uncertainty score0.009

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.001

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 head0.020
GPT teacher head0.214
Teacher spread0.195 · 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
Published2022
Admission routes1
Has abstractyes

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Same venueProceedings of the ... International Conference on Fluid Flow, Heat and Mass TransferSame topicHeat Transfer and OptimizationFrench-language works237,207