Manufactured Dentition Model Quality Control Through 3D Difference Analysis
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Solution Overview
Problem
Existing dental prostheses manufacturing processes lack effective quality control methods to ensure accurate fitting and alignment with patient-specific dentition models, leading to potential false defect rejections.
Innovation Solution
A method and system for quality control that generates a differences model based on 3D patient-dentition data and 3D manufactured-dentition data, excluding non-tooth-related structures, and analyzes offset distributions to determine the quality of manufactured dentition models.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual inspection is used to check manufactured dentition models, then labor intensity is high and inspection accuracy is low, but implementing automated quality control systems increases device complexity
Solution Approach 1:
The patent creates a digital copy (virtual model) of the manufactured dentition model by scanning it, and compares this digital copy with the original patient-specific 3D data. This allows automated quality control without requiring complex physical measurement devices, as the comparison is performed through digital data processing rather than manual physical inspection.
Solution Approach 2:
The patent replaces manual mechanical inspection with an automated digital comparison system. Instead of physically measuring and comparing the manufactured model with reference standards, the system uses 3D scanning to create digital representations and performs automated geometric comparison algorithms to detect deviations, substituting mechanical measurement processes with optical scanning and computational analysis.
2Reliability
If no quality control system is implemented, then manufacturing process is simple, but false defect rejections occur and prosthesis quality cannot be ensured
Solution Approach 1:
The patent performs quality control inspection before the dentition model is used for prosthesis fabrication. By scanning the manufactured model and comparing it with the patient-specific digital data in advance, the system identifies any manufacturing deviations before they affect the final prosthesis quality, preventing false rejections and ensuring only合格 models proceed to the next stage.
Solution Approach 2:
The patent implements a feedback mechanism where the comparison results between the manufactured model and the digital reference are used to determine whether the model meets quality standards. This feedback loop provides objective quality assessment criteria, allowing manufacturers to identify defects, correct issues, and ensure consistent quality without relying on subjective manual evaluation.
3Reliability
If automated quality control is implemented, then false defect rejections are reduced and quality assurance is improved, but manufacturing time and process complexity increase
Solution Approach 1:
The patent integrates the quality control scanning and comparison process as a continuous step in the manufacturing workflow. Rather than performing separate, time-consuming manual inspections, the automated system continuously scans the manufactured model and immediately compares it with the digital reference data, maintaining workflow continuity and reducing idle time between manufacturing and quality assessment.
Data Source
AI summary
Disclosed herein are example embodiments of methods and systems for identifying manufacturing defects of a manufactured dentition model. One of the methods for performing quality control comprises: determining whether the manufactured dentition model is a good or a defective product based on a statistical characteristic of a differences model. The differences model can be generated based on differences between a scanned 3D patient-dentition data and a scanned 3D manufactured-dentition data. The scanned 3D patient-dentition data can be generated using 3D data of a patient's dentition, and the scanned 3D manufactured-dentition data can be generated using 3D data of the manufactured dentition model. The manufactured dentition model can be a 3D printed model.