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Self-adaptive flow regulation through shape memory alloy valves for microelectronics cooling

2023· article· en· W4384158413 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldMaterials Science
TopicShape Memory Alloy Transformations
Canadian institutionsInstitut interdisciplinaire d'innovation technologiqueUniversité de Sherbrooke
Fundersnot available
KeywordsMicroelectronicsMicrochannelMaterials scienceMechanical engineeringVolumetric flow rateControl valvesFlow (mathematics)Energy consumptionWork (physics)SMA*MechanicsComputer scienceElectrical engineeringEngineeringOptoelectronics

Abstract

fetched live from OpenAlex

To overcome the current limitations of temperature uniformity and high pumping power consumption of current microchannel cold plates, this work proposes to develop an on-chip liquid cooling system that incorporates self-adaptive shape memory alloy valves able to regulate the flow rate to the local and instantaneous needs of the chips, leading to energy savings and improved thermal performance of the microelectronics. The behavior of the valves is achieved due to the use of bimorph SMA wings. Thus, the valve remains closed for low cooling demands, maintaining a low flow rate at the channel and, when the cooling demands increase, the valve opens to allow more flow rate into the channel and improve its heat extraction capacity. It has been evaluated that the SMA valves can double the flow rate in the channel when in open position and the expected energy savings can be quantified between 10 % and 30 % for different heat load scenarios. Finally, the hysteresis of the SMA has been experimentally characterized for a determined working application.

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.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.561
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

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 communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.001

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 head0.029
GPT teacher head0.272
Teacher spread0.243 · 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

Quick stats

Citations3
Published2023
Admission routes1
Has abstractyes

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