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:
Mar. 19, 2024

Filed:

Sep. 13, 2022
Applicant:

Sigma Additive Solutions, Inc., Santa Fe, NM (US);

Inventors:

Vivek R. Dave, Concord, NH (US);

David D. Clark, Santa Fe, NM (US);

Matias Roybal, Santa Fe, NM (US);

Mark J. Cola, Santa Fe, NE (US);

Martin S. Piltch, Los Alamos, NM (US);

R. Bruce Madigan, Butte, MT (US);

Alberto Castro, Santa Fe, NM (US);

Assignee:

DIVERGENT TECHNOLOGIES, INC., Los Angeles, CA (US);

Attorneys:
Primary Examiner:
Int. Cl.
CPC ...
B29C 64/153 (2017.01); B22F 10/00 (2021.01); B22F 10/20 (2021.01); B22F 10/28 (2021.01); B22F 10/31 (2021.01); B22F 10/36 (2021.01); B22F 10/368 (2021.01); B22F 12/90 (2021.01); B29C 64/386 (2017.01); B33Y 50/02 (2015.01); G05B 19/418 (2006.01); B22F 10/10 (2021.01); B22F 10/30 (2021.01); B22F 10/366 (2021.01); B22F 10/38 (2021.01); B22F 10/85 (2021.01); B22F 12/41 (2021.01); B22F 12/44 (2021.01); B22F 12/49 (2021.01); B29C 64/393 (2017.01);
U.S. Cl.
CPC ...
B29C 64/153 (2017.08); B22F 10/00 (2021.01); B22F 10/20 (2021.01); B22F 10/28 (2021.01); B22F 10/31 (2021.01); B22F 10/36 (2021.01); B22F 10/368 (2021.01); B22F 12/90 (2021.01); B29C 64/386 (2017.08); B33Y 50/02 (2014.12); G05B 19/41875 (2013.01); B22F 10/10 (2021.01); B22F 10/30 (2021.01); B22F 10/366 (2021.01); B22F 10/38 (2021.01); B22F 10/85 (2021.01); B22F 12/41 (2021.01); B22F 12/44 (2021.01); B22F 12/49 (2021.01); B22F 2999/00 (2013.01); B29C 64/393 (2017.08); G05B 2219/32194 (2013.01); Y02P 10/25 (2015.11);
Abstract

This invention teaches a multi-sensor quality inference system for additive manufacturing. This invention still further teaches a quality system that is capable of discerning and addressing three quality issues: i) process anomalies, or extreme unpredictable events uncorrelated to process inputs; ii) process variations, or difference between desired process parameters and actual operating conditions; and iii) material structure and properties, or the quality of the resultant material created by the Additive Manufacturing process. This invention further teaches experimental observations of the Additive Manufacturing process made only in a Lagrangian frame of reference. This invention even further teaches the use of the gathered sensor data to evaluate and control additive manufacturing operations in real time.


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