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Record W2018190854 · doi:10.1109/ecce.2013.6646981

A comparison of thermal vias patterns used for thermal management in power converter

2013· article· en· W2018190854 on OpenAlex
Deepak Gautam, Fariborz Musavi, Dale Wager, Murray Edington

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
FieldEngineering
TopicElectromagnetic Compatibility and Noise Suppression
Canadian institutionsDelta-Q Technologies (Canada)
Fundersnot available
KeywordsThermalPower electronicsElectronicsPower (physics)Thermal management of electronic devices and systemsComputer scienceThermal analysisPower modulePower semiconductor deviceHeat sinkMaterials scienceElectronic engineeringMechanical engineeringElectrical engineeringEngineeringPhysics

Abstract

fetched live from OpenAlex

A daunting challenge in packaging design for power electronics products is removing the heat from the power devices in a cost effective manner. In this paper, a thorough literature review of the design and analysis of thermal vias in PCBs for thermal management of power electronics devices are presented. Based on the results from the available literature and practical manufacturing guidelines, four different via patterns for single power devices are selected. Each of the four via patterns is laid out multiple times with their via holes are filled with a filler material and their performance are compared to non-filled thermal vias. One dimensional analysis is performed to characterize the thermal performance of the thermal via patterns. The experimental results presented closely matches the theoretical prediction to identify the most efficient thermal via pattern.

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)0.000
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 score0.537
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.253
Teacher spread0.240 · 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