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Record W4382516337 · doi:10.4203/ccc.1.34.4

Energy Absorption Capacity of Aluminium FoamManufactured by Kelvin Model Loaded UnderDifferent Biaxial Combined Compression-TorsionConditions

2023· article· en· W4382516337 on OpenAlexaff
H. D. Solomon, R. Baleh, A. Abdul-Latif, A. Deiab

Bibliographic record

VenueCivil-comp conferences · 2023
Typearticle
Languageen
FieldEngineering
TopicCellular and Composite Structures
Canadian institutionsUniversity of Guelph
Fundersnot available
KeywordsMaterials scienceTorsion (gastropod)AluminiumComposite materialAbsorption capacityCompression (physics)Metal foamAbsorption (acoustics)Chemical engineeringEngineering

Abstract

fetched live from OpenAlex

New metal foams were developed and tested due to its high energy absorption abilities for multifunctional applications.The aim of this research work was to investigate experimentally the effect of quasi-static biaxial loading complexity (combined compression-torsion) on the energy absorption capacity of highly uniform architecture open cell aluminium foam manufactured by kelvin cell model.The two generated aluminium foams have 80% and 85% porosities, spherical shaped pores having 11mm in diameter.These foams were tested by means of several square-section specimens.A patented rig called ACTP (Absorption par Compression-Torsion Plastique), was used to investigate the foam response under quasi-static complex loading paths having different torsional components.Thus, in addition to the reference uniaxial crushing, 4 biaxial configurations classified: Bi37°, Bi45° (moderate), Bi53°, Bi60° (severe), are tested under a quasistatic speed of 5 mm.min -1 .So, the main mechanical responses of the aluminium foams were

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.470
Threshold uncertainty score1.000

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 head0.019
GPT teacher head0.211
Teacher spread0.192 · 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.

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

Citations0
Published2023
Admission routes1
Has abstractyes

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