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:
Jun. 17, 2025

Filed:

Feb. 10, 2023
Applicants:

Saint-gobain Abrasives, Inc., Worcester, MA (US);

Saint-gobain Abrasifs, Conflans-Sainte-Honorine, FR;

Inventors:

Brahmanandam V. Tanikella, Northborough, MA (US);

Christopher Arcona, Northborough, MA (US);

Thomas H. Osborn, Enfield, CT (US);

Joseph P. Sullivan, Peabody, MA (US);

Anna Maassel, Blacksburg, VA (US);

Arunvel Thangamani, Chennai, IN;

Robin Chandras Jayaram, Thiruvananthapuram, IN;

Rajappa Tadepalli, Chennai, IN;

Assignees:

SAINT-GOBAIN ABRASIVES, INC., Worcester, MA (US);

SAINT-GOBAIN ABRASIFS, Conflans-Sainte-Honorine, FR;

Attorneys:
Primary Examiner:
Int. Cl.
CPC ...
B24B 49/00 (2012.01); G06F 18/214 (2023.01); G06F 18/40 (2023.01); G06N 5/04 (2023.01); G06N 20/00 (2019.01);
U.S. Cl.
CPC ...
B24B 49/006 (2013.01); B24B 49/00 (2013.01); B24B 49/003 (2013.01); G06F 18/2148 (2023.01); G06F 18/40 (2023.01); G06N 5/04 (2013.01); G06N 20/00 (2019.01); G06V 2201/06 (2022.01);
Abstract

The present application relates to systems and methods for obtaining real-time abrasion data. An example computer-implemented method could include receiving, at a computing device, sensor data from one or more sensors. The one or more sensors are disposed in proximity to an abrasive product or a workpiece associated with the abrasive product. The one or more sensors are configured to collect abrasion operational data associated with an abrasive operation involving the abrasive product or the workpiece. The computer-implemented method could further include training, based on the sensor data, a machine learning system to determine product specific information of the abrasive product and/or workpiece specific information. The computer-implemented method could also include providing the trained machine learning system using the computing device.


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