3D Dental Prosthesis Inspection Using CAD Deviation Analysis
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Solution Overview
Problem
Conventional manual quality control methods for dental prostheses are inadequate in detecting and quantifying manufacturing defects such as improper size and milling errors, which hinders corrective actions.
Innovation Solution
A system and method utilizing a 3D scanning and analysis module to compare scanned dental prosthesis data with CAD models, generating a differences model to identify and quantify defects by analyzing statistical characteristics like offset distributions, determining if the prosthesis is within acceptable tolerances.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual quality control inspection is performed by QC personnel, then the inspection process can be completed, but the detection accuracy for defects such as improper size and milling defects is insufficient
Solution Approach 1:
The patent replaces manual visual inspection with an automated optical scanning system. A 3D scanner captures the manufactured prosthesis geometry, and software automatically compares it against the CAD model to detect defects like improper size and milling errors, eliminating the limitations of human visual detection.
Solution Approach 2:
The system creates a digital 3D copy of the manufactured prosthesis through scanning, then compares this copy against the original CAD model. This digital copying and comparison process enables precise defect detection without manual measurement, directly addressing the detection accuracy problem.
2Loss of information
If manual quality control inspection is performed, then the inspection can be completed, but the quantification of defects is virtually impossible
Solution Approach 1:
The system provides quantitative feedback by calculating the spatial offsets between corresponding points on the scanned prosthesis and the CAD model. This feedback includes numerical values indicating the magnitude and direction of deviations, enabling precise defect quantification and informing corrective actions.
Solution Approach 2:
The patent replaces subjective manual assessment with objective computational analysis. The software automatically calculates precise offset measurements between the scanned prosthesis and CAD model, providing quantified defect data that was impossible to obtain through manual inspection.
3Measurement precision
If automated 3D scanning and comparison is implemented, then defect identification and quantification accuracy is improved, but the device complexity increases
Solution Approach 1:
The system uses a universal 3D scanning approach that can inspect various types of dental prostheses (crowns, bridges, implants) against their respective CAD models. The same scanning and comparison software handles different prosthesis types, reducing the need for specialized equipment for each product type.
Solution Approach 2:
The patent introduces a computer as an intermediary between the physical prosthesis and the inspection process. The computer executes the scanning, comparison, and defect quantification algorithms, simplifying the overall system architecture while maintaining high measurement precision through automated computational analysis.
4Productivity
If manual transfer and inspection processes are used, then the workflow can be completed, but the productivity is reduced due to time-consuming manual operations
Solution Approach 1:
The system enables continuous quality control processing by eliminating manual transfer steps. The 3D scanner directly captures the prosthesis geometry, and the software immediately compares it with the CAD model, providing continuous automated inspection without interruption or manual handling time.
Solution Approach 2:
The patent replaces manual transfer and inspection operations with automated 3D scanning and computational comparison. This substitution eliminates the time-consuming manual steps of physically moving the prosthesis between inspection stations and performing visual examination, significantly improving productivity.
Data Source
AI summary
Disclosed are example embodiments of methods and systems for identifying and quantifying manufacturing defects of a manufactured dental prosthesis. Certain embodiments of the system for performing quality control on manufactured dental prostheses includes: an analysis module to best fit a scanned 3D data model of a manufactured dental prosthesis with a computer-aided design (CAD) model of the same manufactured dental prosthesis and to generate a differences model; and a quality controller to determine whether the manufactured dental prosthesis is a good or a defective product based on a statistical characteristic of the differences model.