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. 03, 2023

Filed:

Mar. 01, 2022
Applicant:

Jentek Sensors, Inc., Marlborough, MA (US);

Inventors:

Neil J Goldfine, Cocoa Beach, FL (US);

Todd M Dunford, Amherst, MA (US);

Assignee:

JENTEK Sensors, Inc., Marlborough, MA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G01N 27/90 (2021.01); B22F 3/105 (2006.01); B33Y 50/02 (2015.01); B33Y 10/00 (2015.01); B33Y 30/00 (2015.01); G01N 27/9013 (2021.01); B22F 10/20 (2021.01); B22F 10/30 (2021.01);
U.S. Cl.
CPC ...
G01N 27/902 (2013.01); B22F 10/20 (2021.01); B33Y 10/00 (2014.12); B33Y 30/00 (2014.12); B33Y 50/02 (2014.12); G01N 27/9046 (2013.01); B22F 10/30 (2021.01); Y02P 10/25 (2015.11);
Abstract

Disclose is a system and method for real-time measurement and feedback of metrology and metallurgical data during additive manufacturing (AM) part fabrication. This solution promises to provide higher performance, lower cost AM parts. A sensor is placed either in the rake/roller or following the rake/roller so that it has no impact on the process efficiency and can be used to provide real-time feedback and an archived digital map of the entire part volume. The solution provides non-contact sensing of AM layer's electrical conductivity in a high-temperature environment, metallurgical property verification, porosity imaging, local defect detection and sizing, local material temperature monitoring, and grain anisotropy imaging. Part geometry, the AM powder, and the laser/material interface are monitored in real-time. Dual mode sensing using magnetoquasistatic and optical sensors enhance results. Real-time nonlinear control of the AM fabrication process is performed based on the sensor data.


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