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Record W4389540787 · doi:10.17118/11143/21165

Perforated shellular metamaterials with programmablemultifunctionalities

2023· article· en· W4389540787 on OpenAlexaff
Junbo Shi, Hossein Mofatteh, Armin Mirabolghasemi, Benyamin Shahryari, Shahin Eskandari, Gilles Desharnais, A.H. Akbarzadeh

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicFluid Dynamics Simulations and Interactions
Canadian institutionsAxis Photonique (Canada)McGill University
Fundersnot available
KeywordsMetamaterialComputer scienceMaterials scienceOptoelectronics

Abstract

fetched live from OpenAlex

Shellulars are comprised of a periodic 3D unit cell of continuously smooth and non-self-intersecting shells.Shellulars offer less sensitivity to stress concentration and architectural defects than other cellular solids, and therefore are promising candidates for realizing ultralight architected materials with enhanced stiffness, strength, and resilience.They are routinely developed based on triply periodic minimal surfaces (TPMS) with zero mean curvature.The pre-fabricated topological features of TMPS hold great promise for creating shell-like metamaterials with unparalleled multifunctional properties for applications in catalytic converters, heat exchanger, and microbatteries.The geometry of shell surfaces can be also tailored in the post-fabrication state by harnessing structural instability.In this study, we present a series of novel design routes for 3D printing of programmable and previously inaccessible deployable multistable shellular metamaterials by introducing delicate perforations on the surface of shellulars.Two perforation design strategies are introduced and the mechanical properties and structural stability characteristics of the perforated shellular metamaterials are analyzed by simplified theoretical mechanics models, finite element simulations, and mechanical testing on SLS 3D printed samples.The developed perforated shellulars demonstrate controllable rigidity, enhanced energy dissipation, a plethora of stable configurations, and even thermoacoustic properties.

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)0.000
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: Empirical · Consensus signal: Empirical
Teacher disagreement score0.039
Threshold uncertainty score0.904

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)0.0010.000

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 head0.209
Teacher spread0.196 · 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

Citations0
Published2023
Admission routes1
Has abstractyes

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