Abstract: An abrasive article includes an abrasive body having a bond material, abrasive particles contained within the bond material, and an electronic assembly coupled to the abrasive body, wherein the electronic assembly comprises at least one electronic device. In an embodiment, the electronic assembly is coupled to the abrasive body in a tamper-proof manner.

Abstract: An abrasive article includes an abrasive body having a bond material, abrasive particles contained within the bond material, and an electronic assembly coupled to the abrasive body, wherein the electronic assembly comprises at least one electronic device. In an embodiment, the electronic assembly is coupled to the abrasive body in a tamper-proof manner.

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.

Abstract: An abrasive article includes a body and an electronic assembly coupled to the body, the electronic assembly including an electronic device, and a first portion between the body and the communication device, the first portion having a material of an average relative magnetic permeability of not greater than 15.

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.

Abstract: An abrasive article can include a wear detection sensor embedded within the abrasive body or extending along an exterior surface of the abrasive body. The wear detection sensor can include at least one conductive lead and be designed to create one or more wear signals corresponding to the wear stage of the abrasive body. The at least one conductive lead can be coupled to a logic device, which may control the wear detection sensor and register the wear signal(s).

Abstract: An abrasive article includes an abrasive body having a bond material, abrasive particles contained within the bond material, and an electronic assembly coupled to the abrasive body, wherein the electronic assembly comprises at least one electronic device. In an embodiment, the electronic assembly is coupled to the abrasive body in a tamper-proof manner.