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Record W4405230440 · doi:10.1061/9780784485736.033

The Effect of Bending Vibration Modes on Penetration of Bio-Inspired Drilling Tool in Granular Materials: An Experimental Study

2024· article· en· W4405230440 on OpenAlexaff
Mahdi Alaei Varnosfaderani, Pooneh Maghoul, Nan Wu

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicTunneling and Rock Mechanics
Canadian institutionsUniversity of ManitobaPolytechnique Montréal
Fundersnot available
KeywordsVibrationMaterials scienceDrillingPenetration (warfare)BendingStructural engineeringMechanical engineeringComposite materialEngineeringAcousticsPhysics

Abstract

fetched live from OpenAlex

Conventional drilling tools used on Earth are impractical for lunar subsurface exploration due to payload limitations. To overcome this, high-frequency vibration can be employed to reduce the soil penetration resistance and develop a more compact drilling tool for remote subsurface investigations. Therefore, this study aims to investigate the effects of bending vibrations to facilitate probe penetration into granular materials. We attached piezo patches to the probe and conducted experimental modal analyses to determine resonance frequencies. The probe was then inserted into different granular materials, with and without lateral vibrations and corresponding vertical penetration forces were measured. Our test results demonstrate that bending vibration modes significantly reduce the vertical force required for probe insertion into granular soil samples.

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 score0.249
Threshold uncertainty score0.235

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 head0.010
GPT teacher head0.253
Teacher spread0.242 · 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

Citations0
Published2024
Admission routes1
Has abstractyes

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