An error identification method includes: installing a calibrator including a sphere row A and a sphere row B in which a plurality of spheres are linearly aligned in a direction perpendicular to the sphere row A on a table such that the sphere row A and the sphere row B are approximately parallel to respective two of the translational axes and measuring positions of a plurality of spheres of the sphere row A and the sphere row B using a position measurement sensor tool; rotating the calibrator to a plurality of angles around a normal direction on the upper surface of the table to install on the table and measuring each position of the plurality of spheres of the sphere row A and the sphere row B; and identifying an error of the translational axis based on measured values in the installing and the rotating.

An error identification method includes: installing a calibrator including a sphere row A and a sphere row B in which a plurality of spheres are linearly aligned in a direction perpendicular to the sphere row A on a table such that the sphere row A and the sphere row B are approximately parallel to respective two of the translational axes and measuring positions of a plurality of spheres of the sphere row A and the sphere row B using a position measurement sensor tool; rotating the calibrator to a plurality of angles around a normal direction on the upper surface of the table to install on the table and measuring each position of the plurality of spheres of the sphere row A and the sphere row B; and identifying an error of the translational axis based on measured values in the installing and the rotating.

A numerical control device causes a machine tool to perform cutting with a command coordinate value indicated by a cutting command received from a command analysis unit. The numerical control device includes a dynamic compensation parameter calculation unit that calculates a dynamic compensation parameter for compensating for a dynamic error generated by a force acting on the machine tool and a velocity upon cutting, based on a command shape, and a dynamic compensation unit that compensates for the dynamic error with respect to the command coordinate value, based on the dynamic compensation parameter calculated, in which the dynamic compensation parameter calculation unit acquires only the dynamic error from a comparison of the command shape and the measurement data, and calculates the dynamic compensation parameter from the dynamic error acquired.

A numerical control device causes a machine tool to perform cutting with a command coordinate value indicated by a cutting command received from a command analysis unit. The numerical control device includes a dynamic compensation parameter calculation unit that calculates a dynamic compensation parameter for compensating for a dynamic error generated by a force acting on the machine tool and a velocity upon cutting, based on a command shape, and a dynamic compensation unit that compensates for the dynamic error with respect to the command coordinate value, based on the dynamic compensation parameter calculated, in which the dynamic compensation parameter calculation unit acquires only the dynamic error from a comparison of the command shape and the measurement data, and calculates the dynamic compensation parameter from the dynamic error acquired.

During machining of a workpiece, a gripping force adjustment device takes into account the state of the machining and the state of the workpiece in order to set a more appropriate gripping force. The gripping force adjustment device acquires data indicating a machining state implemented by a machine tool and data relating to a gripping state realized on the workpiece by a jig, and creates data to be used in machine learning on the basis of the acquired data. The gripping force adjustment device then executes machine learning processing relating to the gripping force exerted on the workpiece by the jig in the environment in which the machine tool machines the workpiece on the basis of the created data.

During machining of a workpiece, a gripping force adjustment device takes into account the state of the machining and the state of the workpiece in order to set a more appropriate gripping force. The gripping force adjustment device acquires data indicating a machining state implemented by a machine tool and data relating to a gripping state realized on the workpiece by a jig, and creates data to be used in machine learning on the basis of the acquired data. The gripping force adjustment device then executes machine learning processing relating to the gripping force exerted on the workpiece by the jig in the environment in which the machine tool machines the workpiece on the basis of the created data.

A machine tool according to the disclosure has a spindle rotatably holding a cylindrical workpiece, a turret holding a thread whirling tool having a cutter ring having a base on which a through hole is formed and a plurality of types of cutting tools disposed on the inner diameter side of the base and having different shapes, so as to rotatably holds the cutter ring, a controller controlling rotations and relative movements of the spindle and the turret, wherein the controller has the spindle hold a workpiece, disposes the workpiece in the through hole so that the workpiece penetrates the through hole, rotates at least one of the cutter ring and the workpiece, and switches movements of the thread whirling tool in an extending direction of the workpiece and a direction intersecting with the extending direction thereof based on a selected predetermined cutting tool.

A machine tool according to the disclosure has a spindle rotatably holding a cylindrical workpiece, a turret holding a thread whirling tool having a cutter ring having a base on which a through hole is formed and a plurality of types of cutting tools disposed on the inner diameter side of the base and having different shapes, so as to rotatably holds the cutter ring, a controller controlling rotations and relative movements of the spindle and the turret, wherein the controller has the spindle hold a workpiece, disposes the workpiece in the through hole so that the workpiece penetrates the through hole, rotates at least one of the cutter ring and the workpiece, and switches movements of the thread whirling tool in an extending direction of the workpiece and a direction intersecting with the extending direction thereof based on a selected predetermined cutting tool.

A combined electric tool coordination system includes a main tool (4) and an auxiliary tool (1). The main tool (4) and the auxiliary tool (1) coordinate for working. A load detection module (E1) is used to detect a load parameter that is generated when the main tool (4) operates, and send the load parameter to a central control module (E2). The central control module (E2) adjusts output power of the auxiliary tool (1). The central control module (E2) controls power of the auxiliary tool (1) to increase as the load parameter of the main tool (4) increases and decrease as the load parameter decreases. An automatic adjustment function of the auxiliary tool (1) is applied to a dust collector (1). When power of the main tool (4) increases, more dust and scraps are generated, suction of the dust collector (1) is automatically adjusted to be higher, and the demand of a large quantity of dust is satisfied; and when the power of the main tool (4) decreases, less dust and scraps are generated, power of the dust collector (1) automatically decreases, the suction is reduced, and the demand of a small quantity of dust is satisfied.

A combined electric tool coordination system includes a main tool (4) and an auxiliary tool (1). The main tool (4) and the auxiliary tool (1) coordinate for working. A load detection module (E1) is used to detect a load parameter that is generated when the main tool (4) operates, and send the load parameter to a central control module (E2). The central control module (E2) adjusts output power of the auxiliary tool (1). The central control module (E2) controls power of the auxiliary tool (1) to increase as the load parameter of the main tool (4) increases and decrease as the load parameter decreases. An automatic adjustment function of the auxiliary tool (1) is applied to a dust collector (1). When power of the main tool (4) increases, more dust and scraps are generated, suction of the dust collector (1) is automatically adjusted to be higher, and the demand of a large quantity of dust is satisfied; and when the power of the main tool (4) decreases, less dust and scraps are generated, power of the dust collector (1) automatically decreases, the suction is reduced, and the demand of a small quantity of dust is satisfied.