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Multi-Scale Electroplated Porous Coating for Immersion Cooling of Electronics

2022· article· en· W4312309082 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

Venue2022 21st IEEE Intersociety Conference on Thermal and Thermomechanical Phenomena in Electronic Systems (iTherm) · 2022
Typearticle
Languageen
FieldEngineering
TopicFluid Dynamics and Thin Films
Canadian institutionsInstitut interdisciplinaire d'innovation technologique
Fundersnot available
KeywordsBoilingMaterials scienceCoatingWettingElectronics coolingCritical heat fluxHeat fluxHeat transfer coefficientNucleate boilingComposite materialDielectricImmersion (mathematics)Heat transferComputer coolingElectroplatingThermodynamicsThermal management of electronic devices and systemsMechanical engineeringOptoelectronicsPhysics

Abstract

fetched live from OpenAlex

High thermal dissipation power in new generation processors is excessively demanding for cooling systems. Immersion cooling using the phase-change of dielectric liquids is a viable candidate for electronic cooling. Porous coatings are one of the most efficient methods of increasing the boiling heat transfer and evacuating heat from electronic components under immersion cooling. We have developed a novel multi-scale electroplated porous (MuSEP) coating with a random pore size distribution across its surface that increases the boiling efficiency significantly. The coating is deposited at room temperature and can be added to off-the-shelf electronic parts like CPU and GPU. A dielectric highly wetting liquid, Novec™ 649 from the 3M Corporation, was used in pool boiling experiments with different surface characteristics: bare copper, a commercial Boiling Enhancement Coating (BEC™) from the 3M Corporation, and the MuSEP coating. A 4 mm-thick heat spreader, with an area of 22 cm <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sup> , was attached to a heater, with surface dimensions of 2.54 cm by 2.54 cm. The best results were achieved with the MuSEP coating, as it could improve the boiling heat transfer coefficient (HTC) by 108% versus the bare copper surface and by 38% versus the BEC™, at (250±11) W (average heat flux through the boiling surface of (11.3±0.5) W/cm <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sup> ). At that power, the case temperature was (68±0.1)°C for the MuSEP coating, (79±0.1) °C for the BEC™, and (93±0.1)°C for the bare copper surface. The surface to liquid thermal resistance (R <inf xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">s–l</inf> ) was reduced from (0.186±0.008) °C/W to (0.089±0.004) °C/W when boiling on the MuSEP coating compared to the bare copper surface. Also, the MuSEP coating exhibited the lowest thermal resistance at lower power. The reliability of the MuSEP coating was proven after passing more than 22000 integrated hours of tests for functioning CPU in a two-phase thermosyphon cooling prototype and more than 5500 integrated hours in a total immersion cooling application. With a superior boiling performance, low fabrication cost, and reliability, the MuSEP coating could be an essential element for future commercial two-phase cooling solutions.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.956
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
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 head0.214
Teacher spread0.201 · 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