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Building Finite Element Models to Investigate Zebrafish Jaw Biomechanics

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Biomechanical Optimization of the Human Bite Using Numerical Analysis Based on the Finite Element Method.

Maribel González-Martín¹, Paula Hermida-Cabrera¹, Aida Gutiérrez-Corrales¹

¹Departamento de Estomatología, Facultad de Odontología, Universidad de Sevilla, C/Avicena S/N, 41009 Sevilla, Spain.

Biomimetics (Basel, Switzerland)

|February 25, 2025

Summary

A new finite element model (FEM) accurately analyzes bite forces and stress distribution in dental prostheses. This validated framework improves the design of dentures, reducing complications and enhancing patient outcomes.

Keywords:

bite force dental biomechanics dental prosthesis finite element method numerical simulation occlusal force distribution

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Area of Science:

Biomaterials Science
Biomechanics
Computational Modeling

Background:

Accurate biomechanical bite analysis is crucial for dental prostheses design.
Existing finite element method (FEM) models often lack accuracy due to simplified geometries and material properties.

Purpose of the Study:

To develop and validate a high-resolution FEM model for analyzing occlusal forces and stress distribution in the jawbones.
To provide a robust framework for evaluating dental prostheses and optimizing future designs.

Main Methods:

A detailed FEM model was created using Abaqus software, incorporating 3D scanned geometries of mandibular and maxillary bones.
The model included cortical and cancellous bone properties and simulated bite forces based on experimental data.
Occlusal forces and stress states were analyzed using flexible connectors for molar interactions.

Main Results:

The FEM model comprised 1.68 million elements, with critical areas meshed at 1-1.5 mm.
Simulated molar bite forces aligned with clinical trial data.
Maximum principal stresses in maxillary bones remained below ±5 MPa, confirming model robustness.

Conclusions:

The developed FEM model offers an accurate and validated method for analyzing occlusal force distribution in dentures.
This approach enables the evaluation of complex prosthetic designs and their biomechanical impact.
Integration of high-resolution FEM with clinical data forms a basis for predictive tools in restorative dentistry.