System and method for performing quality control of manufactured models
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.
1. A system for performing quality control on a physical dentition model, the system comprising:
a fabrication module selected from the group comprising an injection molding system, a lathing and milling system, or a 3D printing system, the fabrication module configured to manufacture a physical dentition model that is based upon a virtual model of a patient's dentition;
a dentition model scanner configured to scan the physical dentition model to thereby obtain a scanned model; and
a quality control module comprising a processor and a non-transitory computer-readable storage medium comprising instructions executable by the processor to determine whether the manufactured physical dentition model is a good or a defective product based on a statistical characteristic of a differences model generated by comparing spatial points of the virtual model of the patient's dentition and corresponding best-fitting points of the scanned model to compile offsets between the spatial points of the virtual model and the corresponding best-fitting spatial points of the scanned model.
2. The system of claim 1 , wherein the quality control module is configured to determine whether a dental prosthesis is a good or defective product by determining a standard deviation of a difference value of points in the differences model.
3. The system of claim 1 , wherein the quality control module is configured to generate the differences model using only data corresponding to a tooth.
4. The system of claim 1 , wherein the quality control module is configured to generate the differences model using data corresponding to a dentition fixture, wherein the dentition fixture is a structure of the manufactured physical dentition model that is not associated with teeth and gum structures.
5. The system of claim 1 , wherein the fabrication module comprises a 3D printing module configured to print the physical dentition model having a base, a hinge, and dentition structures, wherein the dentition structures comprise one or more teeth and gum structures, wherein the base is configured to support the dentition structures, and the hinge is configured to be pivotably attached to an opposing physical dentition model that when mated with the physical dentition model simulates a bite.
6. The system of claim 1 , wherein the fabrication module comprises an injection molding system.
7. The system of claim 1 , wherein the fabrication module comprises a mill.
8. The system of claim 1 , wherein the physical dentition model comprises a recess between a pair of tooth structures, wherein the recess is a slot in the physical dentition model that extends beyond where a gum line starts by a predetermined depth.
9. The system of claim 8 , wherein the predetermined depth has a range between 5% to 75% of a total thickness of gum between the pair of tooth structures.
10. The system of claim 8 , wherein the predetermined depth has a range of 45% of the total thickness of the gum between the pair of tooth structures.
11. The system of claim 1 , wherein the quality control module is configured to determine whether the physical dentition model is a good or a defective product further comprises determining the physical dentition model is a good product when all offsets within ±50 microns account for greater than 85% of all points in the differences model.
12. The system of claim 1 , wherein the quality control module is configured to determine whether the physical dentition model is a good or a defective product further comprises determining the physical dentition model is a good product when all offsets greater than ±75 microns account for less than 1% of all points in the differences model.
13. The system of claim 1 , wherein the quality control module is configured to determine whether the physical dentition model is a good or a defective product further comprises determining that the physical dentition model is too small or too large based on a distribution of differences that is negatively or positively biased as compared to a normal distribution.
14. The system of claim 1 , wherein the physical dentition model comprises a 3D printed model.