Thickness optimization of auricular silicone scaffold based on finite element analysis

Area of Science:

• Biomaterials Engineering
• Medical Device Design
• Regenerative Medicine

Background:

• Auricular reconstruction is a significant challenge in reconstructive surgery.
• Existing methods for auricular prostheses often lack optimal integration and patient-specific fit.
• Development of patient-specific, functional auricular scaffolds is crucial for improving outcomes.

Purpose of the Study:

• To determine the optimal thickness for a transplantable auricular silicone scaffold.
• To develop a method for creating patient-specific artificial auricles.
• To ensure the manufactured scaffolds possess adequate mechanical properties for transplantation.

Main Methods:

• Utilized CT scans for original auricle imaging.
• Employed reverse modeling to create a digital 3D auricle model.
• Performed finite element analysis (FEA) simulations for process optimization.
• Manufactured solid silicone scaffolds based on FEA results.

Main Results:

• Successfully developed a digital 3D model of an auricle.
• Optimized scaffold thickness through FEA simulations.
• Manufactured transplantable artificial auricles with enhanced thickness.
• Achieved sufficient intensity and hardness in the final silicone scaffolds.

Conclusions:

• The study successfully optimized auricular silicone scaffold thickness for transplantation.
• FEA and 3D modeling provide a robust framework for designing patient-specific auricular implants.
• The developed artificial auricle offers a promising reference for clinical auricular reconstruction.