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Related Experiment Video

Updated: Jan 21, 2026

How to Build a Vacuum Spring-transport Package for Spinning Rotor Gauges
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Design Parameters for a Small-Gauge Fragmatome.

William J Foster1, Jijo Jizhou Wang2

  • 1Ophthalmic Research and Nanotechnology Group, Departments of Ophthalmology & Bioengineering, Temple University, Philadelphia, PA, USA.

Translational Vision Science & Technology
|August 13, 2019
PubMed
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Finite element modeling of ophthalmic fragmatomes revealed that solid designs have fewer failure modes. Engineering analysis is crucial for preventing catastrophic instrument failures during eye surgery.

Keywords:
finite elementfragmatomelensectomysmall gauge

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Area of Science:

  • Ophthalmic surgical instrumentation
  • Biomedical engineering
  • Finite element analysis

Background:

  • Surgical instrument miniaturization for ophthalmic procedures is a growing trend.
  • Scaling down conventional instruments may lead to intraoperative failures.
  • Predicting failure mechanisms in microsurgical devices is essential.

Purpose of the Study:

  • To model stress and strain in fragmatomes using finite element analysis.
  • To investigate the impact of driving frequency and dimensions on fragmatome performance.
  • To identify design parameters that could lead to instrument failure.

Main Methods:

  • Finite element calculations were performed using COMSOL Multiphysics v3.5.
  • The study analyzed titanium fragmatome tubes with varying outer diameters (20-27 gauge).
  • Influences of wall thickness, length, and excitation frequency were elucidated.

Main Results:

  • Eigenfrequencies and resonant frequencies were determined.
  • Parameters leading to von Mises stress exceeding yield strength were identified.
  • Conditions causing fragmatome destruction were predicted.

Conclusions:

  • Solid fragmatomes exhibit fewer potential failure modes compared to standard-thickness designs.
  • Eigenfrequency analysis and finite element calculations are vital for predicting catastrophic instrument designs.
  • Modern engineering techniques, including in silico design optimization, are necessary for safe ophthalmic surgical instruments.