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Record W2618994631 · doi:10.11159/htff17.155

Heat Transfer Characteristics of a Polymer-Based Roll-to-Roll Microchannel Heat Exchanger

2017· article· en· W2618994631 on OpenAlexvenueno aff
Heng Wang, Samuel D. Marshall, Rerngchai Arayanarakool, Lakshmi Balasubramaniam, Niven Singh Virik, Poh Seng Lee, Peter C. Y. Chen

Bibliographic record

VenueProceedings of the World Congress on Mechanical, Chemical, and Material Engineering · 2017
Typearticle
Languageen
FieldEngineering
TopicHeat Transfer and Optimization
Canadian institutionsnot available
FundersNational Research Foundation SingaporeNational Research FoundationAgência Nacional de Águas
KeywordsMicrochannelMicro heat exchangerHeat exchangerMaterials scienceHeat transferPlate fin heat exchangerPolymerPlate heat exchangerMechanicsMechanical engineeringComposite materialEngineeringPhysicsNanotechnology

Abstract

fetched live from OpenAlex

Polymer-based heat exchangers are advantageous for corrosion resistance, light weight, and low costs. Microchannel heat exchangers are promising for material saving and high heat transfer capacity. Curved channels can promote the secondary fluid flow to enhance the effectiveness of heat transfer. Roll to roll technology makes it possible to roll thin-film layers up to form curved channels inside the layers. Combining all the strengths mentioned above, this research comes up with a polymer-based roll-to-roll microchannel heat exchanger with three different designs. Through numerical simulations, this study analyses the heat transfer characteristics of those three heat exchanger designs. Dean numbers and Nusselt numbers are calculated to evaluate the formation of Dean Vortices and the effectiveness of heat transfer. Simulation results demonstrate that the formation of Dean Vortices induced through the roll-to-roll microchannel structure helps to improve the heat transfer compared with equivalent straight-channel heat exchangers. In addition, this study calculates not only the Nusselt numbers but also the Thermal Performance Factors to take into account the high pressure drops in the microchannel. Finally, the efficiencies of heat transfer of the three heat exchanger designs are compared with each other.

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 categoriesMeta-epidemiology (narrow)
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 score0.019
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 science0.0000.000
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 head0.008
GPT teacher head0.201
Teacher spread0.193 · 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.

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
Published2017
Admission routes1
Has abstractyes

Explore more

Same venueProceedings of the World Congress on Mechanical, Chemical, and Material EngineeringSame topicHeat Transfer and OptimizationFrench-language works237,207