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Record W4366146716 · doi:10.11159/enfht23.161

A Biomimetic Approach to Improve Convective Heat Transfer Using Fluid-Induced Vibrations from Self-Excited Flaps

2023· article· en· W4366146716 on OpenAlexaff
Sahand Najafpour, Majid Bahrami

Bibliographic record

VenueProceedings of the World Congress on Momentum, Heat and Mass Transfer · 2023
Typearticle
Languageen
FieldEngineering
TopicTribology and Lubrication Engineering
Canadian institutionsSimon Fraser University
Fundersnot available
KeywordsHeat transferVibrationConvectionConvective heat transferExcited stateMechanicsMaterials scienceFluid dynamicsAcousticsPhysicsAtomic physics

Abstract

fetched live from OpenAlex

Bio-inspired flexible plates have shown promising results as a passive method to enhance convective heat transfer and mixing in flow.Flap fluttering is a self-excited phenomenon caused by the fluid-structure-interaction between the main flow and the flap.Among all the parameters, the direction of the flap relative to the incoming flow appears to be the key factor in determining the transition into the flapping mode.In this study, flaps made of a 50-micron thick polyester sheet were cut into rectangular shapes and placed at the centerline of the channels of a shrouded straight fin heatsink.Both hanging and vertical positions of the flap in the axial flow were investigated using a custom-built testbed in our lab.We measured the convective heat transfer rates and pressure drop in the heatsink for both arrangements.We observed that: i) the rectangular cantilevered flap is more unstable in the hanging flap configuration compared to the vertically installed flap, i.e., the transition to the fluttering mode occurs at a lower airflow velocity; ii) the critical flow velocity -the velocity at which the flap becomes unstable-is lower for the flap aspect ratio of 0.5.We attribute this behavior to the longer viscous boundary layer around the vertical case, which stabilizes the flap; iii) from a thermal performance point of view, the hanging configuration outperforms the vertical one with the same flap dimensions; iv) at a Reynolds number of 8,940, large amplitude vibrations and coherent fluttering in a hanging configuration render a superior thermal performance of 39 percent improvement in the Nusselt number compared to when bare channels are measured.On the contrary, at higher flowrates, the difference falls in the range of measurement uncertainty; and v) as for the pressure drop, unlike the hanging configuration, the vertical flap creates a higher pressure drop as it tends to block half the channel at the end of the trailing edge stroke.Furthermore, the presence of the flap holder adds to the pressure drop increase, which is eliminated in the hanging position and therefore, flaps could be connected to the shroud directly.

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 score0.181
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
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 head0.013
GPT teacher head0.215
Teacher spread0.202 · 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
Published2023
Admission routes1
Has abstractyes

Explore more

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