IP Library › Granted Patent US 12,330,265
Granted Patent B2
US 12,330,265 · App. 18/167,544 · Granted Jun 17, 2025

Performance grinding solutions

Inventors: Brahmanandam V. Tanikella (Northborough, MA); Christopher Arcona (Northborough, MA); Thomas H. Osborn (Enfield, CT); Joseph P. Sullivan (Peabody, MA); Anna Maassel (Blacksburg, VA); Arunvel Thangamani (Chennai, IN); Robin Chandras Jayaram (Thiruvananthapuram, IN); Rajappa Tadepalli (Chennai, IN)
Assignees: SAINT-GOBAIN ABRASIVES, INC.; SAINT-GOBAIN ABRASIFS
B24B49/006B24B49/00B24B49/003G06F18/2148G06F18/40G06N5/04G06N20/00G06V2201/06
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Quick Facts
Patent No.
US 12,330,265
App. No.
18/167,544
Granted
Jun 17, 2025
Kind
B2
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.

Claims (37)

1. A computer-implemented method, comprising:

receiving, at a computing device, sensor data from one or more sensors, wherein the one or more sensors are disposed in proximity to an abrasive device, wherein the one or more sensors are configured to collect abrasive operational data associated with one or more abrasive operations involving the abrasive device; and

displaying at least a portion of the abrasive operational data,

wherein displaying at least a portion of the abrasive operational data comprises simultaneously displaying, via a user interface, a current trace related to a plurality of abrasive tools operated by the abrasive device, a tool ID associated with the plurality of abrasive tools operated by the abrasive device, and part count associated with one or more workpieces that are operated on by at least one of the plurality of abrasive tools for a same duration of time, wherein the tool ID is a unique identifier indicative of identifications of the plurality of abrasive tools, and the part count is an ID value indicative of identifications of a plurality of workpieces operated on by one or more abrasive tools of the plurality of abrasive tools.

2. The computer-implemented method of claim 1 ,

wherein the current trace is indicative of values of current experienced by the abrasive device over time.

3. The computer-implemented method of claim 1 , further comprising:

identifying a pattern in the real-time abrasive operational data over time;

making real time adjustments to an abrasive operation involving an abrasive tool of the plurality of abrasive tools based on the pattern; and

evaluating effect of the real time adjustments on the abrasive operation by comparing patterns before and after making the real time adjustments.

4. The computer-implemented method of claim 3 , comprising identifying the pattern in the abrasive operational data related to the current trace, relating the pattern to the identification of the abrasive tool by using simultaneously displayed abrasive operational data.

5. The computer-implemented method of claim 4 , further comprising:

assigning tags to portions of the abrasive operational data, wherein the tags are indicative of abrasive operation status of the abrasive device at different times, wherein the status is determined based on at least some of the changes in the abrasive operational data.

6. The computer-implemented method of claim 5 , further comprising:

training one or more machine learning models with sensor data including the one or more tags;

applying trained machine learning models on the sensor data; and

providing product specific information of a plurality of abrasive tools.

7. The computer-implemented method of claim 4 , further comprising identifying patterns in the abrasive operational data associated with the abrasive device based on at least some of the changes.

8. The computer-implemented method of claim 3 , further comprising:

displaying at least a portion of the abrasive operational data comprises simultaneously displaying abrasive operational data associated with the plurality of workpieces; and

relating abrasive operational data associated with the plurality of workpieces to identifications of the plurality of abrasive tools based on at least some of the patterns identified in the abrasive operational data associated with the abrasive device.

9. The computer-implemented method of claim 8 , further comprising:

comparing abrasive operational data associated with the plurality of workpieces; and

determining product specific information of at least one abrasive tool of the plurality of abrasive tools based, at least in part, on the comparison.

10. The computer-implemented method of claim 9 , further comprising making real time adjustments to an abrasive operation involving the at least one abrasive tool of the plurality of abrasive tools based on the product specific information.

11. A computer-implemented method, comprising:

receiving, at a computing device, sensor data from one or more sensors, wherein the one or more sensors are disposed in proximity to a plurality of abrasive tools, wherein the one or more sensors are configured to collect abrasive operational data associated with the plurality of abrasive tools; and

displaying, via a graphical user interface, at least a portion of the abrasive operational data, wherein displaying at least a portion of the abrasive operational data comprises simultaneously displaying via the graphical user interface, a current trace related to the plurality of abrasive tools, a tool ID associated with the plurality of abrasive tools, and part count associated with one or more workpieces that are operated on by at least one of the plurality of abrasive tools for a same period of time, wherein the tool ID is a unique identifier indicative of identifications of the plurality of abrasive tools, and the part count is an ID value indicative of identifications of a plurality of workpieces operated on by one or more abrasive tools of the plurality of abrasive tools.

12. The computer-implemented method of claim 11 , wherein displaying at least a portion of the abrasive operational data comprises displaying at least one metric associated with at least some of the plurality of abrasive tools.

13. The computer-implemented method of claim 12 , wherein the at least one metric comprises at least one of a grinding time metric, an optimal grinding metric, a vibration metric, a depth of cut, a current trace, a tool identifier, an angular velocity, or a part count.

14. The computer-implemented method of claim 12 , wherein the at least one metric is displayed in an overlapping arrangement of a plurality of periodic time series.

15. A computing system, comprising:

a computing device configured to receive sensor data from one or more sensors, wherein the one or more sensors are disposed in proximity to an abrasive device, wherein the one or more sensors are configured to collect abrasive operational data associated with an abrasive operation involving the abrasive device and one or more abrasive tools operated by the abrasive device over time; and

a display configured to provide at least a portion of the abrasive operational data, wherein providing at least a portion of the abrasive operational data comprises simultaneously displaying, via a graphical user interface, a current trace related to the plurality of abrasive tools operated by the abrasive device, a tool ID associated with the plurality of abrasive tools, and part count associated with a plurality of workpieces operated b at least one of the plurality of abrasive tools for a same duration of time, wherein the tool ID is a unique identifier indicative of identifications of the plurality of abrasive tools, and the part count is an ID value indicative of identifications of a plurality of workpieces operated on by one or more abrasive tools of the plurality of abrasive tools.

16. The computing system of claim 15 , wherein the display is configured to provide the abrasive operational data associated with the plurality of abrasive tools and the abrasive operational data associated with the abrasive device in a relatable manner.

17. The computing system of claim 15 , wherein the display is configured to provide abrasive operational data associated with the plurality of workpieces.

18. The computing system of claim 15 , wherein the display is further configured to provide a cycle comparison interface, wherein the cycle comparison interface is configured to display at least a portion of the abrasive operational data associated with least some of the plurality of abrasive tools in an overlapping arrangement of a plurality of periodic time series.

Priority Claims (1)
IN 201941020668 · May 24, 2019 · national
Continuity (3)
Continuation 16833580 · Mar 28, 2020
Provisional Application 62826971 · Mar 29, 2019
Related Publication 20230182263A1 · Jun 15, 2023
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