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:
Dec. 26, 2023

Filed:

Jul. 20, 2020
Applicant:

Relativity Space, Inc., Long Beach, CA (US);

Inventors:

Duncan McCallum, Lexington, MA (US);

Salvador Barriga, Burlington, MA (US);

Forrest Pieper, Watertown, MA (US);

Elad Taig, Lexington, MA (US);

Paul Burke, Framingham, MA (US);

Kevin Cedrone, Somerville, MA (US);

Assignee:

Relativity Space, Inc., Long Beach, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
B33Y 50/02 (2015.01); G05B 19/4155 (2006.01); G06T 7/00 (2017.01); B33Y 10/00 (2015.01); B23K 26/342 (2014.01); B23K 26/12 (2014.01);
U.S. Cl.
CPC ...
G05B 19/4155 (2013.01); B23K 26/342 (2015.10); B33Y 10/00 (2014.12); B33Y 50/02 (2014.12); G06T 7/0002 (2013.01); G06T 7/0004 (2013.01); B23K 26/125 (2013.01); G05B 2219/49023 (2013.01); G06T 2207/30144 (2013.01);
Abstract

Disclosed herein are systems and methods for using printing process data to predict quality measures for three-dimensional (3D) printed objects and properties of the materials comprising the 3D objects. Printing may be performed using resistive or Joule printing. The system may include a computer communicatively coupled to a 3D printing apparatus, which may store printing parameters. The 3D printing apparatus may be able to take measurements during a print job, and record those measurements in memory. The 3D printing apparatus may also be able to record printing states before, during, and/or after printing. A combination of printing states, printing parameters, and measurements may be analyzed, for example, by a machine learning algorithm, in order to predict material properties and quality measures.


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