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Record W2115924424 · doi:10.1109/ccece.2008.4564567

Steady state thermal analysis of a reconfigurable wafer-scale circuit board

2008· article· en· W2115924424 on OpenAlex
Mohammed Bougataya, A. Lakhsasi, Richard Norman, Richard Prytula, Yves Blaquière, Yvon Savaria

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.
fundA Canadian funder is recorded on the work.
venuePublished in a venue whose home country is Canada.

Bibliographic record

VenueConference proceedings - Canadian Conference on Electrical and Computer Engineering · 2008
Typearticle
Languageen
FieldEngineering
Topic3D IC and TSV technologies
Canadian institutionsPolytechnique MontréalUniversité du Québec à MontréalUniversité du Québec en OutaouaisUniversité du Québec à Trois-Rivières
FundersNatural Sciences and Engineering Research Council of CanadaUniversité du Québec en OutaouaisCMC Microsystems
KeywordsOverheating (electricity)ThermalFinite element methodThermal analysisPrinted circuit boardMechanical engineeringSolderingWaferMaterials scienceComputer scienceElectronic engineeringEngineeringElectrical engineeringStructural engineeringOptoelectronicsComposite materialThermodynamicsPhysics

Abstract

fetched live from OpenAlex

During the development of a reconfigurable wafer-scale circuit board, the thermal design aspects have proved crucial to its reliable operation. Reducing thermally induced stress and preventing local overheating remain major concerns when optimizing the capabilities of the WaferBoard <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">TM</sup> technology. This paper presents a thermal analysis of that technology. For this study, various thermal boundary conditions are analyzed and thermal profiles with 3D thermal contours are presented. 3D finite element thermal models are used to predict local thermal peaks on the WaferBoardTM structure. This model allows exploring the possibilities to minimize the thermal gradient in the critical areas, especially at the solder balls level. In a second step, thermal stress analysis will be conducted using the temperature loads calculated by steady state thermal analysis.

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 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 score0.874
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
Bibliometrics0.0010.001
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 head0.017
GPT teacher head0.176
Teacher spread0.159 · 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