The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Nov. 01, 2022

Filed:

Apr. 22, 2020
Applicant:

Dassault Systemes Simulia Corp, Waltham, MA (US);

Inventors:

Jing Bi, Foxborough, MA (US);

Victor George Oancea, East Greenwich, RI (US);

Assignee:

Dassault Systemes Simulia Corp., Johnston, RI (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G05B 19/4099 (2006.01); G06N 20/00 (2019.01); G06F 30/10 (2020.01); B33Y 50/02 (2015.01); B29C 64/153 (2017.01); B29C 64/393 (2017.01); G06F 30/27 (2020.01); G06F 119/18 (2020.01); G06F 111/18 (2020.01); G06F 113/10 (2020.01);
U.S. Cl.
CPC ...
G05B 19/4099 (2013.01); B29C 64/153 (2017.08); B29C 64/393 (2017.08); B33Y 50/02 (2014.12); G06F 30/10 (2020.01); G06F 30/27 (2020.01); G06N 20/00 (2019.01); G05B 2219/49023 (2013.01); G06F 2111/18 (2020.01); G06F 2113/10 (2020.01); G06F 2119/18 (2020.01);
Abstract

A method includes identifying machine process parameters for an additive manufacturing process to produce a part, providing a real-world sensor to sense a characteristic associated with a real-world version of the additive manufacturing process, receiving sensor readings from the real-world sensor while the machine is performing the real-world version of the additive manufacturing process, generating, with a computer-based processor, physics-based features associated with the additive manufacturing process, and training a machine-learning software model based at least in part on the machine process parameters, the sensor readings, and the physics-based features to predict a behavior of the real-world sensor.


Find Patent Forward Citations

Loading…