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Record W2928918671 · doi:10.1117/12.2514029

Numerical and experimental investigation of 3D printed origami unit cells and cores for load resistance

2019· article· en· W2928918671 on OpenAlexaff
Mohamed Ali E. Kshad, Hani E. Naguib

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicAdvanced Materials and Mechanics
Canadian institutionsUniversity of Toronto
Fundersnot available
Keywords3d printedMaterials scienceUnit (ring theory)Load resistanceComposite materialComputer scienceEngineeringElectrical engineeringManufacturing engineeringMathematics

Abstract

fetched live from OpenAlex

Origami cores have the advantage of stiffness to weight ratio over conventional sandwich cores. The main idea of designing sandwich cores is to have low-density structure with high stiffness, that allows the sandwiches to withstand compression and impact loads. Recently, the implementation of origami cores in sandwich structures has attracted engineers to design and investigate different types of origami cores for compression and impact applications. Such cores can give the sandwich structure, high stiffness to weight ratio, and they can dissipate the incoming loads by high strain deformation. In this work, we study numerically and experimentally, two different origami configurations; the study investigates origami unit cells’ and cores’ stiffness and load resistance. Origami unit cells and cores are fabricated with fused deposition modeling. The results of the numerical simulation validated with the experimental results.

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.009
Threshold uncertainty score0.194

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 head0.225
Teacher spread0.214 · 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 designBench or experimental
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
Published2019
Admission routes1
Has abstractyes

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