Development and validation of a numerical model for cross-section optimization of a multi-part probe for soft tissue...

Area of Science:

• Mechatronics
• Biomedical Engineering
• Surgical Innovation

Background:

• Minimally invasive surgery (MIS) demands advanced tools for improved patient outcomes.
• Development of novel surgical instruments is crucial for enhancing precision and safety in MIS.
• A multi-part steerable probe is under development for soft tissue surgery applications.

Purpose of the Study:

• To optimize the interlock geometry of a multi-part surgical probe to prevent segment separation.
• To ensure the mechanical integrity and reliability of the surgical probe during procedures.
• To validate simulation results with experimental data for a novel surgical tool.

Main Methods:

• Finite element methods (FEM) were employed to identify an optimal interlock geometry.
• Three-dimensional finite element models were created to simulate probe behavior.
• Experimental validation was performed to confirm the accuracy of the simulation models.

Main Results:

• An optimal interlock geometry was successfully identified through the optimization procedure.
• The developed three-dimensional finite element model accurately predicted the probe's mechanical behavior.
• Simulation results demonstrated strong consistency with physical experimental findings.

Conclusions:

• The study successfully optimized an interlock geometry for a multi-part surgical probe.
• Validated finite element models provide a reliable basis for further probe development.
• This work represents a significant advancement towards a novel, steerable miniature probe for surgical applications.