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. 29, 2022

Filed:

Nov. 08, 2018
Applicant:

General Electric Company, Schenectady, NY (US);

Inventors:

Voramon Supatarawanich Dheeradhada, Latham, NY (US);

Natarajan Chennimalai Kumar, Niskayuna, NY (US);

Vipul Kumar Gupta, Guilderland, NY (US);

Laura Dial, Clifton Park, NY (US);

Anthony Joseph Vinciquerra, Rexford, NY (US);

Timothy Hanlon, Glenmont, NY (US);

Assignee:

General Electric Company, Schenectady, NY (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
B29C 64/393 (2017.01); B29C 64/10 (2017.01); G06N 20/00 (2019.01); G06F 30/17 (2020.01); G06K 9/62 (2022.01); B33Y 10/00 (2015.01); B33Y 40/00 (2020.01); B33Y 50/02 (2015.01); G06F 111/04 (2020.01); G06F 119/18 (2020.01);
U.S. Cl.
CPC ...
B29C 64/393 (2017.08); B29C 64/10 (2017.08); G06F 30/17 (2020.01); G06K 9/6296 (2013.01); G06N 20/00 (2019.01); B33Y 10/00 (2014.12); B33Y 40/00 (2014.12); B33Y 50/02 (2014.12); G06F 2111/04 (2020.01); G06F 2119/18 (2020.01);
Abstract

Methods and systems for optimizing additive process parameters for an additive manufacturing process. In some embodiments, the process includes receiving initial additive process parameters, generating an uninformed design of experiment utilizing a specified sampling protocol, next generating, based on the uninformed design of experiment, response data, and then generating, based on the response data and on previous design of experiment that includes at least one of the uninformed design of experiment and informed design of experiment, an informed design of experiment by using the machine learning model and the intelligent sampling protocol. The last process step is repeated until a specified objective is reached or satisfied.


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