An optimal timing to perform dressing on a grindstone is detected easily. A machine learning device includes: an input data acquisition unit that acquires input data including an arbitrary grinding condition for an arbitrary work material in a grinding process of an arbitrary grinding machine and grindstone information related to an arbitrary grindstone including at least a degree of necessity of dressing process indicating a degree of necessity of dressing before a grinding process is performed under the grinding condition; a label acquisition unit that acquires label data indicating the degree of necessity of dressing process of the grindstone after the grinding process is performed under the grinding condition included in the input data; and a learning unit that executes supervised learning using the input data acquired by the input data acquisition unit and the label data acquired by the label acquisition unit, and generates a learned model.

An optimal timing to perform dressing on a grindstone is detected easily. A machine learning device includes: an input data acquisition unit that acquires input data including an arbitrary grinding condition for an arbitrary work material in a grinding process of an arbitrary grinding machine and grindstone information related to an arbitrary grindstone including at least a degree of necessity of dressing process indicating a degree of necessity of dressing before a grinding process is performed under the grinding condition; a label acquisition unit that acquires label data indicating the degree of necessity of dressing process of the grindstone after the grinding process is performed under the grinding condition included in the input data; and a learning unit that executes supervised learning using the input data acquired by the input data acquisition unit and the label data acquired by the label acquisition unit, and generates a learned model.

An optimal timing to perform dressing on a grindstone is detected easily. A machine learning device includes: an input data acquisition unit that acquires input data including an arbitrary grinding condition for an arbitrary work material in a grinding process of an arbitrary grinding machine and grindstone information related to an arbitrary grindstone including at least a degree of necessity of dressing process indicating a degree of necessity of dressing before a grinding process is performed under the grinding condition; a label acquisition unit that acquires label data indicating the degree of necessity of dressing process of the grindstone after the grinding process is performed under the grinding condition included in the input data; and a learning unit that executes supervised learning using the input data acquired by the input data acquisition unit and the label data acquired by the label acquisition unit, and generates a learned model.

An optimal timing to perform dressing on a grindstone is detected easily. A machine learning device includes: an input data acquisition unit that acquires input data including an arbitrary grinding condition for an arbitrary work material in a grinding process of an arbitrary grinding machine and grindstone information related to an arbitrary grindstone including at least a degree of necessity of dressing process indicating a degree of necessity of dressing before a grinding process is performed under the grinding condition; a label acquisition unit that acquires label data indicating the degree of necessity of dressing process of the grindstone after the grinding process is performed under the grinding condition included in the input data; and a learning unit that executes supervised learning using the input data acquired by the input data acquisition unit and the label data acquired by the label acquisition unit, and generates a learned model.

The method of the present invention comprises the steps of: previously obtaining correlation data between surface properties of the polishing pad dressed under a plurality of stages of dressing conditions and polishing effects of the work polished by the polishing pad dressed under the dressing conditions; determining an assumed dressing condition capable of achieving an object polishing effect from the correlation data; dressing the polishing pad under the assumed dressing condition determined; polishing the work; cleaning the polishing pad which has been used for polishing the work; and measuring a surface property of the cleaned polishing pad.

The method of the present invention comprises the steps of: previously obtaining correlation data between surface properties of the polishing pad dressed under a plurality of stages of dressing conditions and polishing effects of the work polished by the polishing pad dressed under the dressing conditions; determining an assumed dressing condition capable of achieving an object polishing effect from the correlation data; dressing the polishing pad under the assumed dressing condition determined; polishing the work; cleaning the polishing pad which has been used for polishing the work; and measuring a surface property of the cleaned polishing pad.

The present disclosure relates to a method of dressing a tool which can be used for the gear manufacturing machining of a workpiece on a dressing machine, wherein the dressing takes place with line contact between the dresser and the tool; wherein a specific modification of the surface geometry of the tool is produced in that the position of the dresser with respect to the tool during dressing is varied in dependence on the tool width position.

A grinding tool includes a substrate having a surface provided with a plurality of openings, and a plurality of grinding studs. Each of the grinding studs includes a stud portion and an abrasive particle attached to each other, the stud portions being respectively attached into the openings, and the abrasive particles protruding outward from the surface, each of the abrasive particles having a pattern cut across a tip thereof to define multiple apexes adjacent to one another.

A grinding tool includes a substrate having a surface provided with a plurality of openings, and a plurality of grinding studs. Each of the grinding studs includes a stud portion and an abrasive particle attached to each other, the stud portions being respectively attached into the openings, and the abrasive particles protruding outward from the surface, each of the abrasive particles having a pattern cut across a tip thereof to define multiple apexes adjacent to one another.

An apparatus for dressing a grinding wheel mounted thereon by creating structures on the surface of a, in particular cylindrical, grinding surface of the grinding wheel The apparatus includes a dressing tool holder arranged for accommodating a dressing tool in a dressing position, a controllable actuator for adjusting the position of the tool holder within the apparatus in at least one direction, a grinding wheel support for rotatably supporting a grinding wheel to be dressed The apparatus further includes a mechanism for monitoring an individual structure, created by the dressing tool on the surface of the grinding wheel, and a mechanism for monitoring a circumferential position and/or the rotary speed of the grinding wheel, and a mechanism for controlling the actuator, adapted to control the actuator as a function of the monitored structure and the monitored circumferential position and/or rotary speed.