3D PRINTER DEVICE, 3D PRINTING METHOD AND METHOD FOR MANUFACTURING STEREOLITHOGRAPHY PRODUCT

• US 20160170387A1
• Filed: 07/29/2013
• Published: 06/16/2016
• Est. Priority Date: 07/29/2013
• Status: Abandoned Application

• Current Assignee: NEC Solution Innovators, Ltd (NEC Corporation)
• Original Assignee: NEC Solution Innovators, Ltd (NEC Corporation)
• Inventors: IHARA, Yasuyuki
• Application Number:
  US14/908,187
• Publication Number:
  US 20160170387A1
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: B29C 64/386 Data acquisition or data processing for additive manufacturing
• CPC Class Codes: B33Y 10/00 Processes of additive manufacturing
• CPC Class Codes: B33Y 30/00 Apparatus for additive manufacturing; Details thereof or accessories therefor
• CPC Class Codes: B33Y 50/02 for controlling or regulating additive manufacturing processes
• CPC Class Codes: G05B 15/02 electric
• CPC Class Codes: G06N 20/00 Machine learning
• CPC Class Codes: H04N 1/60 Colour correction or control H04N1/54 takes precedence

Abstract

The present invention provides a 3D printer device that determines whether an object to be manufactured with a 3D printer is previously permitted to be manufactured and cannot manufacture the object when it is not. The 3D printer device of the present invention includes: a data input unit; a three-dimensional data generation unit configured to generate three-dimensional data on the basis of inputted data; a 3D printer input data generation unit configured to generate 3D printer input data from the three-dimensional data; a manufacture allowability determination unit configured to determine, on the basis of the 3D printer input data, whether an object to be manufactured with a 3D printer is allowed to be manufactured; and a 3D printer unit configured to manufacture the object only when the object is allowed to be manufactured.

Claims

1. A 3D printer device comprising:

a data input unit;

a three-dimensional data generation unit configured to generate three-dimensional data on the basis of inputted data;

a 3D printer input data generation unit configured to generate 3D printer input data from the three-dimensional data;

a manufacture allowability determination unit configured to determine, on the basis of the 3D printer input data, whether an object to be manufactured with a 3D printer is allowed to be manufactured; and

a 3D printer unit configured to manufacture the object only when the object is allowed to be manufactured.

2. The 3D printer device according to claim 1, wherein

the manufacture allowability determination unit comprises:

a local feature value calculation unit configured to calculate a local feature value of the object on the basis of the 3D printer input data; and

a global feature value calculation unit configured to calculate a global feature value of the object on the basis of the 3D printer input data, and

the manufacture allowability determination unit determines whether the object to be manufactured with the 3D printer is allowed to be manufactured using at least one of the local feature value and the global feature value.

3. The 3D printer device according to claim 2, wherein

in the local feature value calculation unit, a local feature value is extracted using at least one of a specific object recognition technique and a feature extraction technique that uses a mathematical theory, and

in the global feature value calculation unit, a global feature value is extracted using a feature extraction technique that uses a mathematical theory.

4. The 3D printer device according to claim 2, further comprising a local feature value database and a global feature value database, wherein

the determination using the local feature value is made with reference to the local feature value database, and

the determination using the global feature value is made with reference to the global feature value database.

5. The 3D printer device according to claim 2, further comprising a shape determination model, wherein

the determination using at least one of the local feature value and the global feature value is performed by machine learning with reference to the shape determination model.

6. The 3D printer device according to claim 5, wherein

the shape determination model is generated by model learning using at least one of the local feature value database and the global feature value database.

14. The 3D printer device according to claim 3, further comprising a local feature value database and a global feature value database, wherein

the determination using the local feature value is made with reference to the local feature value database, and

the determination using the global feature value is made with reference to the global feature value database.

15. The 3D printer device according to claims 3, further comprising a shape determination model, wherein

the determination using at least one of the local feature value and the global feature value is performed by machine learning with reference to the shape determination model.

16. The 3D printer device according to claims 4, further comprising a shape determination model, wherein

the determination using at least one of the local feature value and the global feature value is performed by machine learning with reference to the shape determination model.

7. A 3D printing method comprising:

a data input step;

a three-dimensional data generation step of generating three-dimensional data on the basis of inputted data;

a 3D printer input data generation step of generating 3D printer input data from the three-dimensional data;

a manufacture allowability determination step of determining, on the basis of the 3D printer input data, whether an object to be manufactured with a 3D printer is allowed to be manufactured; and

a 3D printing step of manufacturing the object only when the object is allowed to be manufactured.

8. The 3D printing method according to claim 7, wherein

the manufacture allowability determination step comprises:

a local feature value calculation step of calculating a local feature value of the object on the basis of the 3D printer input data; and

a global feature value calculation step of calculating a global feature value of the object on the basis of 3D printer input data, and

in the manufacture allowability determination step, whether the object to be manufactured with the 3D printer is allowed to be manufactured is determined using at least one of the local feature value and the global feature value.

9. The 3D printing method according to claim 8, wherein

in the local feature value calculation step, a local feature value is extracted using at least one of a specific object recognition technique and a feature extraction technique that uses a mathematical theory, and

in the global feature value calculation step, a global feature value is extracted using a feature extraction technique that uses a mathematical theory.

10. The 3D printing method according to claim 8, wherein

the determination using the local feature value is made with reference to the local feature value database, and

the determination using the global feature value is made with reference to the global feature value database.

11. The 3D printing method according to claim 8, wherein

the determination using at least one of the local feature value and the global feature value is performed by machine learning with reference to the shape determination model.

12. The 3D printing method according to claim 11, wherein

the shape determination model is generated by model learning using at least one of the local feature value database and the global feature value database.

13. A method for manufacturing a three-dimensional object, wherein

the three-dimensional object is manufactured by the 3D printing method according to claim 7.

17. The 3D printing method according to claim 9, wherein

the determination using the local feature value is made with reference to the local feature value database, and

the determination using the global feature value is made with reference to the global feature value database.

18. The 3D printing method according to claim 9, wherein

the determination using at least one of the local feature value and the global feature value is performed by machine learning with reference to the shape determination model.

19. The 3D printing method according to claim 10, wherein

the determination using at least one of the local feature value and the global feature value is performed by machine learning with reference to the shape determination model.