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 method for performing quality control on a physical dentition model designed to test fitting of a dental prosthesis, the method comprising:
manufacturing a physical dentition model based upon a virtual model of a patient's dentition;
scanning the physical dentition model to generate a scanned model; and
determining whether the 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 method of claim 1 , wherein the differences model is generated using only data corresponding to a tooth.
3. The method of claim 1 , wherein the differences model comprises data that exclude data corresponding to a dentition fixture, wherein the dentition fixture is a structure of the physical dentition model that is not associated with teeth and gum structures.
4. The method of claim 3 , wherein the dentition fixture comprises a base and a hinge, wherein the base supports one or more teeth and gum structures, and the hinge is configured to be pivotably attached to an opposing physical dentition model that is configured to simulate a bite when mated with the physical dentition model.
5. The method of claim 3 , 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.
6. The method of claim 4 , wherein the predetermined depth has a range between 5% to 75% of a total thickness of gum between the pair of tooth structures.
7. The method of claim 6 , wherein the predetermined depth has a range of 45% of the total thickness of the gum between the pair of tooth structures.
8. The method of claim 1 , wherein determining whether the physical dentition model is a good or a defective product further comprises determining the physical dentition model is a good part when all offsets within ±50 microns account for greater than 85% of all points in the differences model.
9. The method of claim 8 , wherein determining whether the manufactured physical dentition model is a good or a defective product further comprises determining the manufactured physical dentition model is a good part when all offsets within ±50 microns account for greater than 85% of all points in the differences model and all offsets greater than ±75 microns account for less than 1% of all points in the differences model.
10. The method of claim 1 , further comprising 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.
11. The method of claim 1 , wherein the physical dentition model comprises a 3D printed model.
12. A method for performing quality control on a 3D-printed physical dentition model, the method comprising:
obtaining a scanned 3D dentition data of dentition of a patient;
printing, using a 3D printer, the 3D-printed physical dentition model based at least on the scanned 3D dentition data;
scanning the 3D-printed physical dentition model to create a virtual representation of the physical dentition model;
generating a differences model by comparing the scanned 3D dentition data of the patient with the virtual representation of the physical dentition model and compiling offsets between spatial points of the scanned 3D dentition data of the patient and corresponding spatial points of the virtual representation of the physical dentition model; and
determining whether the 3D-printed physical dentition model is a good or a defective product based on a statistical characteristic of the differences model.
13. The method of claim 12 , further comprising:
curing, using a curing oven, the 3D-printed physical dentition model; and
adjusting a manufacturing process of the 3D printer or the curing oven based on the differences model when the 3D-printed physical dentition model is determined to be a defective product.