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Eddy Current Damping of Magnetically Actuated Neurosurgical Instruments

2022· article· en· W4294473268 on OpenAlexafffund
Nancy Wu, Thomas Looi, Jim Drake, Eric Diller

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldPhysics and Astronomy
TopicMicro and Nano Robotics
Canadian institutionsHospital for Sick ChildrenUniversity of Toronto
FundersUniversity of Toronto
KeywordsEddy currentPhysicsOscillation (cell signaling)MagnetNuclear magnetic resonanceAnalytical Chemistry (journal)Mechanical engineeringElectrical engineeringChemistryEngineeringQuantum mechanics

Abstract

fetched live from OpenAlex

Flexion based magnetically actuated minimally invasive neurosurgical tools tend to oscillate for an extended period of time due to the lack of avenues for energy dissipation. This study proposes eddy current damping as the mechanism for reducing the vibrations present for such magnetic tools. After determining the necessary damping coefficient (4.31 × 10 <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">−9</sup> Ns m <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">−1</sup> for a settling time less than 0.5 s and 2.01 × 10 <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">−6</sup> Ns m <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">−1</sup> for critical damping), a feasibility study was conducted by approximating the potential damping that could be generated. An experimental study was performed to validate these values and relationships determined by the approximations by measuring the oscillation of a 2 mm by 2 mm by 4 mm N52 Neodymium magnet attached to a nitinol beam. Six measurements were taken at gap sizes between the magnet and conductor of 0 µm, 100 µm, 200 µm, 300 µm, 400 µm, 500 µm, 750 µm, 1000 µm, 1500 µm, and 2000 µm with copper conductors of thicknesses 0.127 mm to 0.635 mm in 0.127 mm increments. It was shown that sufficient damping could be generated experimentally (the maximum damping documented is 1.24 × 10 <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">−6</sup> Ns m <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">−1</sup> ).

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.739
Threshold uncertainty score0.993

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)0.0080.000

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 head0.243
Teacher spread0.232 · 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 designNot applicable
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

Citations2
Published2022
Admission routes2
Has abstractyes

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