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:
Aug. 28, 2018

Filed:

Oct. 07, 2015
Applicant:

The Boeing Company, Huntington Beach, CA (US);

Inventors:

Lauren A. Burns, Melbourne, AU;

Max M. Osborne, Brighton, AU;

Martin A. Szarski, Canterbury, AU;

Ronnie K. Ligeti, Melbourne, AU;

David Pook, Melbourne, AU;

Andrew K. Glynn, Seattle, WA (US);

Assignee:

The Boeing Company, Chicago, IL (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 9/44 (2018.01); B29C 67/00 (2017.01); G05B 19/18 (2006.01); B29C 70/44 (2006.01); B29C 35/02 (2006.01); B33Y 50/02 (2015.01); B29C 37/00 (2006.01);
U.S. Cl.
CPC ...
B29C 67/0088 (2013.01); B29C 35/0266 (2013.01); B29C 35/0288 (2013.01); B29C 70/44 (2013.01); G05B 19/182 (2013.01); B29C 2037/90 (2013.01); B33Y 50/02 (2014.12); G05B 2219/36039 (2013.01); Y02T 50/433 (2013.01);
Abstract

A system for manufacturing a composite structure includes a tool with a surface for supporting component elements of the composite structure. The surface is divided into a multi-dimensional array of thermal zones for in-process control of the temperature of a component element (e.g. resin) of the composite structure. The sensors sense a characteristic of the component element and provide sensor data, which is applied to a machine-learning algorithm configured to generate control data to achieve a defined quality goal. A controller then independently controls the thermal zones to locally heat, cool or maintain the temperature of the component element according to the control data to advance the component element or composite structure to the defined quality goal. This may be performed over a plurality of instances during which the machine-learning algorithm learns to increase advancement of the component element or composite structure to the defined quality goal.


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