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:
Jan. 05, 2021

Filed:

Feb. 27, 2019
Applicant:

General Electric Company, Schenectady, NY (US);

Inventors:

Subhrajit Roychowdhury, Schenectady, NY (US);

Vipul Kumar Gupta, Guilderland, NY (US);

Randal T Rausch, Schenectady, NY (US);

Justin John Gambone, Schenectady, NY (US);

Xiaohu Ping, Clifton Park, NY (US);

Alexander Chen, Cypress, CA (US);

John Erik Hershey, Ballston Lake, NY (US);

Assignee:

GENERAL ELECTRIC COMPANY, Schenectady, NY (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06T 19/00 (2011.01); G05B 19/4099 (2006.01); B33Y 50/02 (2015.01); G05B 13/02 (2006.01);
U.S. Cl.
CPC ...
G05B 19/4099 (2013.01); B33Y 50/02 (2014.12); G05B 13/0265 (2013.01); G05B 2219/35134 (2013.01); G05B 2219/49007 (2013.01);
Abstract

According to some embodiments, system and methods are provided comprising receiving, via a communication interface of a platform comprising a segmentation module and a processor, a defined geometry for one or more geometric structures forming one or more parts, wherein the parts are manufactured with an additive manufacturing machine; generating a build file including an initial parameter set to fabricate each part; fabricating the part based on the build file; receiving sensor data for the fabricated part; generating a parameter set for each layer that forms the part, via execution of an iterative learning control process for each layer; generating raw power data for each layer that forms the part, using the processor, based on the generated parameter set; applying a noise reduction process to the raw power data; and generating a segmented build file, using the segmentation module, via application of the noise reduction process on the raw power data. Numerous other aspects are provided.


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