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Record W3044739336 · doi:10.1177/0954406220941893

A dynamic dimensional accumulation with propagations of part mating gaps for series-parallel assembly operations

2020· article· en· W3044739336 on OpenAlexaff
Jun Ni, Rui Liu, Yu Sun

Bibliographic record

VenueProceedings of the Institution of Mechanical Engineers Part C Journal of Mechanical Engineering Science · 2020
Typearticle
Languageen
FieldEngineering
TopicManufacturing Process and Optimization
Canadian institutionsUniversity of Alberta
FundersChina Postdoctoral Science FoundationNational Natural Science Foundation of China
KeywordsAlgebraic numberNonlinear systemComputer scienceGraphAlgebraic expressionSeries (stratigraphy)Algebraic equationAlgebraic operationProcess (computing)AlgorithmExpression (computer science)Control theory (sociology)Theoretical computer scienceMathematicsControl (management)Mathematical analysisPhysicsArtificial intelligence

Abstract

fetched live from OpenAlex

The changing spring-back effects of part mating gaps restrict the control of the overall dimensional error for the parts assembled by many sequential and parallel processes. So far, it has been merely adjusted by component positions or compensated by some joining processes, which is still limited and lack of a theory and tool for the general dynamic process. To obtain the dimensional response of current assembly when the part contacts with the other, this paper proposes algebraic modelling for dimensional error accumulations that organize the propagation through every part. A new contact graph firstly expresses the part liaisons. Then, a variable array encodes the displacements and the time when each contact finishes, which yields algebraic theorems for the conversion of contact graph to algebraic expression, and for estimating dimensional distortions. If propagations take finite element methods, the algebraic expression outputs the coupled spring-back effects for the current assembled parts that support both variation and tolerance analyses. The dynamic accumulation with propagations is validated by case studies, and the comparison indicates that the assembly with the largest number of parallel modes has the highest nonlinear variations caused by locating errors.

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)0.001
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: none
Teacher disagreement score0.625
Threshold uncertainty score0.616

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.000
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 head0.019
GPT teacher head0.235
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
Published2020
Admission routes1
Has abstractyes

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Same venueProceedings of the Institution of Mechanical Engineers Part C Journal of Mechanical Engineering ScienceSame topicManufacturing Process and OptimizationFrench-language works237,207