Automated Dental Drill Guidance Using FEA-Optimized Tooth Preparation
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Solution Overview
Problem
Existing dental restoration procedures lack the ability to optimize prosthetic geometries and tooth cuts, leading to inefficiencies and increased patient discomfort.
Innovation Solution
A system that uses finite element analysis (FEA) to determine optimal 3D preparation and prosthesis geometries based on material properties, bite forces, and displacement limits, iteratively adjusting these geometries until they meet predefined force and displacement thresholds, and instructs an automated dental drill to perform the cuts.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If traditional dental restoration procedures are used, then the procedure can be completed with simple equipment, but the precision of prosthetic geometry and tooth cut optimization is insufficient
Solution Approach 1:
The system performs preliminary finite element analysis (FEA) simulations to determine optimal 3D preparation and prosthesis geometries before the actual dental restoration procedure. This pre-calculation of stress distributions and force requirements allows the system to establish precise geometric parameters in advance, eliminating the need for complex real-time adjustments during the procedure while maintaining high precision.
Solution Approach 2:
The patent replaces traditional mechanical trial-and-error methods with computational FEA analysis. Instead of relying on mechanical adjustment and physical fitting of prosthetics, the system uses computer-based stress analysis to calculate optimal geometries, substituting mechanical complexity with computational precision.
2Object-affected harmful factors
If traditional dental restoration procedures are used, then the procedure is simple to perform, but patient discomfort increases due to suboptimal geometries
Solution Approach 1:
The system performs preliminary FEA simulations to determine optimal 3D preparation and prosthesis geometries before the actual dental restoration procedure. This pre-calculation of stress distributions and force requirements allows the system to establish precise geometric parameters in advance, eliminating the need for complex real-time adjustments during the procedure while maintaining high precision.
Solution Approach 2:
The system uses FEA analysis to provide feedback on stress distributions and force requirements, iteratively optimizing the 3D preparation and prosthesis geometries. This feedback mechanism ensures that the final design minimizes harmful forces and displacements on the patient's tooth structure during mastication, clenching, and grinding.
3Strength
If iterative geometry optimization is performed, then the strength and security of prosthesis attachment is improved, but the calculation time and processing requirements increase
Solution Approach 1:
The system performs preliminary FEA simulations to determine optimal 3D preparation and prosthesis geometries before the actual dental restoration procedure. This pre-calculation of stress distributions and force requirements allows the system to establish precise geometric parameters in advance, eliminating the need for complex real-time adjustments during the procedure while maintaining high precision.
Solution Approach 2:
The system optimizes geometric parameters (preparation geometry, prosthesis geometry) based on FEA analysis of stress distributions and force requirements. By systematically varying and evaluating different parameter combinations, the system identifies the optimal configuration that maximizes prosthesis attachment strength while meeting clinical time constraints.
Data Source
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AI summary
One aspect provided herein is a computer-implemented method of directing an automated dental drill (ADD) for preparation of a target tooth of a patient for a restoration with a prosthesis by a practitioner, the method comprising: receiving: a prosthesis material comprising material property; an applied bite force; a force limit; a displacement limit; and a three-dimensional (3D) tooth model of the target tooth comprising a removal portion; determining a first 3D preparation geometry and a first 3D prosthesis geometry based on the 3D tooth model and the prosthesis material; performing a finite element analysis (FEA) to determine the forces and displacements, instructing the ADD to cut the target tooth based on the first 3D preparation geometry.