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Record W4214860548 · doi:10.18280/mmep.090107

Numerical Solution for Electronic Assemblies Subjected to Mechanical Bending

2022· article· en· W4214860548 on OpenAlex
Mohammad A. Gharaibeh, Aseel A. Almohammad

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.

venuePublished in a venue whose home country is Canada.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueMathematical Modelling and Engineering Problems · 2022
Typearticle
Languageen
FieldEngineering
TopicComposite Structure Analysis and Optimization
Canadian institutionsnot available
Fundersnot available
KeywordsBendingStiffnessBending stiffnessWork (physics)Structural engineeringFinite element methodMaterials scienceBoundary value problemNumerical analysisLayer (electronics)Composite materialMechanical engineeringEngineeringMathematicsMathematical analysis

Abstract

fetched live from OpenAlex

This work introduces high-accuracy numerical solution for the two elastically coupled beams subjected to mechanical bending problem. Finite difference method (FDM) was considered to solve the governing equations along with the boundary conditions of the structure. The validity of this solution was ensured and tested with literature data. Finally, the influence of the key structural parameters of the problem, such as the relative stiffness between the beams as well as the elastic layer, was thoroughly discussed with the specific attention on its application in electronic assemblies subjected to mechanical bending. The numerical findings showed that for stiffer beams and compliant layer, the axial deformations of the layer are lower which can be reflected as lower solder stresses and hence more reliable designs of electronic devices.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.915
Threshold uncertainty score0.638

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)0.0000.000

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 head0.011
GPT teacher head0.197
Teacher spread0.186 · 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