Granted Patent B2

US 12,423,922 · App. 18/053,398 · Granted Sep 23, 2025

Inventors: Zachary A. Silverstein (Georgetown, TX); Jeremy R. Fox (Georgetown, TX); Todd Russell Whitman (Bethany, CT); Sarbajit K. Rakshit (Kolkata, IN)

Assignee: International Business Machines Corporation

G06T19/006B29C64/386B33Y50/00G06T19/20G06V10/70G06T2219/2021

Abstract

Claims (50)

1. A processor-implemented method for iteratively improving a virtual model of an object to be printed in a mixed reality environment, the method comprising:

rendering the virtual model within the mixed-reality environment;

monitoring interactions between a user and the virtual model within the mixed-reality environment;

predicting one or more deficiencies in the object based on the monitoring;

suggesting, by a machine learning model, one or more edits of the virtual model to the user to address the one or more predicted deficiencies, wherein the one or more edits represent one or more modifications to a structure or material of the object; and

integrating the one or more edits into the virtual model.

2. The method of claim 1 , wherein the predicting is performed by the machine learning model trained on a knowledge corpus.

3. The method of claim 2 , further comprising:

observing one or more interactions between the user and the edited virtual model in the mixed reality environment; and updating the knowledge corpus based on the observing.

4. The method of claim 1 , further comprising:

responsive to a user selection, modifying the virtual model to visually represent a deposition pattern associated with a type of 3D printing process or a model of 3D printer.

5. The method of claim 1 , the rendering comprising:

modifying the mixed-reality environment with one or more virtual elements comprising a usage context associated with the object.

6. The method of claim 1 , further comprising:

printing the object based on the edited virtual model.

7. The method of claim 1 , wherein the virtual model comprises one or more individually manipulable horizontal layers.

8. A computer system for iteratively improving a virtual model of an object to be printed in a mixed reality environment, the computer system comprising:

one or more processors, one or more computer-readable memories, one or more 3D printers, one or more mixed-reality devices, one or more computer-readable tangible storage medium, and program instructions stored on at least one of the one or more tangible storage medium for execution by at least one of the one or more processors via at least one of the one or more memories, wherein the computer system is capable of performing a method comprising:

rendering the virtual model within the mixed-reality environment;

monitoring interactions between a user and the virtual model within the mixed-reality environment;

predicting one or more deficiencies in the physical object based on the monitoring;

suggesting, by a machine learning model, one or more edits of the virtual model to the user to address the one or more predicted deficiencies, wherein the one or more edits represent one or more modifications to a structure or material of the object; and

integrating the one or more edits into the virtual model.

9. The computer system of claim 8 , wherein the predicting is performed by the machine learning model trained on a knowledge corpus.

10. The computer system of claim 9 , further comprising:

observing one or more interactions between the user and the edited virtual model in the mixed reality environment; and

updating the knowledge corpus based on the observing.

11. The computer system of claim 8 , further comprising:

responsive to a user selection, modifying the virtual model to visually represent a deposition pattern associated with a type of 3D printing process or a model of 3D printer.

12. The computer system of claim 8 , the rendering comprising:

populating the mixed-reality environment with one or more elements comprising a usage context associated with the object.

13. The computer system of claim 8 , further comprising:

printing the object based on the edited virtual model.

14. The computer system of claim 8 , wherein the virtual model comprises one or more individually manipulable horizontal layers.

15. A computer program product for iteratively improving a virtual model of an object to be printed in a mixed reality environment, the computer program product comprising:

one or more computer-readable tangible storage medium and program instructions stored on at least one of the one or more tangible storage medium, the program instructions executable by a processor to cause the processor to perform a method comprising:

rendering the virtual model within the mixed-reality environment;

monitoring interactions between a user and the virtual model within the mixed-reality environment;

predicting one or more deficiencies in the physical object based on the monitoring;

suggesting, by a machine learning model, one or more edits of the virtual model to the user to address the one or more predicted deficiencies, wherein the one or more edits represent one or more modifications to a structure or material of the object; and

integrating the one or more edits into the virtual model.

16. The computer program product of claim 15 , wherein the predicting is performed by the machine learning model trained on a knowledge corpus.

17. The computer program product of claim 16 , further comprising:

observing one or more interactions between the user and the edited virtual model in the mixed reality environment; and updating the knowledge corpus based on the observing.

18. The computer program product of claim 15 , further comprising:

responsive to a user selection, modifying the virtual model to visually represent a deposition pattern associated with a type of 3D printing process or a model of 3D printer.

19. The computer program product of claim 15 , the rendering comprising:

populating the mixed-reality environment with one or more elements comprising a usage context associated with the object.

20. The computer program product of claim 15 , further comprising:

printing the object based on the edited virtual model.

Assignments (1)

Continuity (1)

References Cited (20)