IP Library Granted Patent US 11,210,788
Granted Patent B2
US 11,210,788 · App. 16/457,199 · Granted Dec 28, 2021

System and method for performing quality control

Inventors: Abhishek Babasaheb Ajri (Lake Forest, CA); Vaheh Golestanian Nemagrdi (Orange, CA); Marco Antonio Jokada (Diamond Bar, CA); David Christopher Leeson (North Tustin, CA)
Assignee: James R. Glidewell Dental Ceramics, Inc.
G06T7/0014G06F17/18G06F30/23G06F2119/18G06T2207/30052
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Quick Facts
Patent No.
US 11,210,788
App. No.
16/457,199
Granted
Dec 28, 2021
Kind
B2
Abstract

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: a quality control module configured to determine whether the dental prosthesis is a good or a defective product based at least on a differences model generated by comparing a design model and a scanned model of the manufactured dental prosthesis.

Claims (27)

1. A method for performing quality control on a manufactured dental prosthesis, the method comprising:

scanning a manufactured dental prosthesis to generate a scanned model; and

determining whether the manufactured dental prosthesis is a good or a defective product based at least on a differences model generated by comparing spatial points of a design model and corresponding best-fitting points of the scanned model to compile offsets between the spatial points of the design model and the corresponding best-fitting spatial points of the scanned model;

wherein the design model comprises a computer generated model based upon either: (i) a design of the dental prosthesis based upon patient-specific data, or (ii) a simulation of a manufacturing process for the dental prosthesis.

2. The method of claim 1 , wherein determining whether the manufactured dental prosthesis is a good or defective product further comprises performing a statistical analysis on the differences model.

3. The method of claim 2 , wherein determining whether the manufactured dental prosthesis is a good or defective product further comprises determining a standard deviation of offset values of points of the differences model.

4. The method of claim 3 , wherein the manufactured dental prosthesis comprises an anterior crown and wherein the anterior crown is determined to be a defective product if the standard deviation is above 20 microns.

5. The method of claim 1 , wherein the differences model generated by comparing the design model and the scanned model further comprises omitting from the differences model data points below a margin line of the differences model.

6. The method of claim 5 , wherein the margin line has a height ranging between 10-20% of an overall height of the manufactured dental prosthesis.

7. The method of claim 5 , wherein omitting from the differences model further comprises omitting data points of an occlusal surface of the manufactured dental prosthesis.

8. The method of claim 7 , wherein the manufactured dental prosthesis is a bridge, and wherein omitting from the differences model further comprises omitting data points of an occlusal surface of each tooth of the bridge.

9. The method of claim 8 , wherein the differences model generated by comparing the design model and the scanned model further comprises omitting data points of surfaces between any two teeth of the bridge.

10. The method of claim 1 , wherein the differences model generated by comparing the design model and the scanned model further comprises omitting from the differences model data points of sprue locations, wherein a sprue location is where a sprue is placed to secure the manufactured dental prosthesis within a milling block.

11. The method of claim 1 , further comprises determining that the manufactured dental prosthesis is too small or too large based on a distribution of differences that is negatively or positively biased as compared to a normal distribution.

12. The method of claim 1 , further comprises determining that the manufactured dental prosthesis has a manufacturing defect when a distribution of differences includes peaks at a left and right side of a normal distribution curve.

13. The method of claim 1 , further comprises:

determining whether the manufactured dental prosthesis is too small or too large based on a distribution of differences that is negatively or positively biased as compared to a normal distribution;

determining whether the manufactured dental prosthesis has a manufacturing defect when a distribution of differences includes peaks at a left and right side of a normal distribution curve; and

shutting down one or more crown manufacturing machineries based at least on whether the manufactured dental prosthesis is too small, too large, or has a step.

14. A method for performing quality control on a dental prosthesis, the method comprising:

generating a design model of a dental prosthesis, the design model comprising a computer generated model based upon either: (i) a design of the dental prosthesis based upon patient-specific data, or (ii) a simulation of a manufacturing process for the dental prosthesis;

manufacturing the dental prosthesis based on the generated design model;

scanning the manufactured dental prosthesis to create a 3D scan model;

generating a differences model by comparing the design model with the 3D scan model and compiling offsets between spatial points of the 3D scan model and corresponding spatial points of the design model; and

determining whether the manufactured dental prosthesis is a good or a defective product based at least on an analysis of the differences model.

15. The method of claim 14 , wherein the simulated manufacturing process comprises a simulated CNC milling or 3D printing process.

16. The method of claim 1 , wherein the simulated manufacturing process comprises a simulated CNC milling or 3D printing process.

Assignments (1)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Jan 13, 2020
From: AJRI, ABHISHEK BABASAHEB; NEMAGRDI, VAHEH GOLESTANIAN; JOKADA, MARCO ANTONIO; LEESON, DAVID CHRISTOPHER
To: JAMES R. GLIDEWELL DENTAL CERAMICS, INC.
Reel/Frame 051490/0762 →
Continuity (2)
Continuation In Part 15928484 · Mar 22, 2018
Related Publication 20190318479A1 · Oct 17, 2019
Cited By (1)
US 12,343,224