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Record W4405432934 · doi:10.48550/arxiv.2412.09809

Piercing soft solids: A mechanical theory for needle insertion

2024· preprint· W4405432934 on OpenAlexfundno aff
Stefano Fregonese, Mattia Bacca

Bibliographic record

VenuearXiv (Cornell University) · 2024
Typepreprint
Language
FieldSocial Sciences
TopicTattoo and Body Piercing Complications
Canadian institutionsnot available
FundersNatural Sciences and Engineering Research Council of CanadaImperial College London
KeywordsSoft tissueMedicineSurgery

Abstract

fetched live from OpenAlex

In this paper we investigate the mechanical problem of piercing a soft solid\nbody with a needle. This phenomenon is controlled by the critical condition of\nneedle insertion. Needle insertion involves physical and geometrical\nnonlinearities and a complex failure mechanism. To overcome the complexity of\nthe problem, we describe needle insertion as a sharp transition between two\nneedle-specimen configurations, namely "indentation" and "penetration". The\nsharp configurational change emerges from a mechanical instability and follows\nthe principle of energy minimum. We describe the needle-specimen system in\nterms of the force applied to the back of the needle and the axial displacement\nof the needle tip toward the material. At small needle displacements, the\nenergetically favoured configuration is indentation. Conversely, when the\nneedle displaces beyond a critical threshold, it penetrates the specimen by\nrupturing its surface. This creates a new energetically favoured configuration:\npenetration. Our analysis considers a cylindrical needle with a spherical tip,\nneglects friction and adhesion between the needle and the material, and assumes\nquasi-static conditions. Despite the mathematical simplicity of our analysis,\nour theoretical predictions on the needle insertion force have been validated\nagainst experiments with surprising accuracy. Our method provides an effective\npredictive tool, which can be extended to account for different indenter\ngeometry and material behaviour.\n

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.595
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.001
Science and technology studies0.0020.001
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0000.001

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 head0.118
GPT teacher head0.242
Teacher spread0.124 · 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 designTheoretical or conceptual
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

Explore more

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