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Record W4386285662 · doi:10.18280/mmep.100419

Analytical Evaluation of Solder Stress in Electronic Packages Subjected to Random Vibrations

2023· article· en· W4386285662 on OpenAlexvenueno aff
Mohammad A. Gharaibeh, Belal M.Y. Gharaibeh

Bibliographic record

VenueMathematical Modelling and Engineering Problems · 2023
Typearticle
Languageen
FieldEngineering
TopicElectronic Packaging and Soldering Technologies
Canadian institutionsnot available
Fundersnot available
KeywordsSolderingRandom vibrationStress (linguistics)Materials scienceStructural engineeringVibrationElectronic packagingComposite materialForensic engineeringMechanical engineeringEngineeringAcousticsPhysics

Abstract

fetched live from OpenAlex

Electronic components, during assembly, transportation, and operation, are exposed to a diverse array of dynamic loads, encompassing high and low frequency vibrations, shock, impact, and most importantly, random vibrations.Such rigorous loading conditions necessitate the design of electronic components that can endure these harsh circumstances.Analytical methods, owing to their cost-effectiveness, are predominantly employed to investigate the longevity and resilience of these electronic structures, circumventing the need for protracted and costly experiments.In this study, an analytical discussion is presented concerning the random vibration loads applied to printed circuit boards (PCBs) fitted with surface-mounted components.The electronic package is modelled using the multi-layer plate theory, where the board, solder layer, and component are all conceptualized as elastic rectangular plates.The ensuing stress and potential failure of solder joint layers due to the random vibration loading are scrutinized, alongside an examination of how problem parameters, such as the width of the board and the imposed boundary conditions, impact the stress values within the solder joints.The results derived from the analytical solution reveal that solder stresses induced by random vibrations are diminished in shorter joints, enhancing their reliability.The findings of this research corroborate the results obtained from finite element modelling, thereby validating the analytical approach.

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.

How this classification was reachedexpand

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.354
Threshold uncertainty score0.641

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
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 head0.032
GPT teacher head0.248
Teacher spread0.216 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designSimulation or modeling
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations1
Published2023
Admission routes1
Has abstractyes

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