A machine tool includes: a movable body that supports a tool; a feed drive unit that feed-drives the movable body; a numerical control unit that controls the feed drive by the feed drive unit to perform cutting by the tool; an acceleration sensor that is provided on the movable body and detects acceleration of the movable body; and a command unit that outputs a stop command to stop driving of the feed drive unit to the numerical control unit when the acceleration of the movable body exceeds a threshold value set in advance on the basis of an output of the acceleration sensor. The command unit sets the threshold value to a first threshold value in a cutting control state, and sets the threshold value to a second threshold value lower than the first threshold value in a feed control in a non-cutting control state.

A process includes: (i) receiving image data, dividing a portion of the image data into a plurality of grids including a first grid, a second grid, a third grid, and a fourth grid, dividing the portion of the image data into a plurality of areas including (a) a first area including the first grid and the third grid, and (b) a second area including the second grid and the fourth grid; (ii) detecting an object relating to the first grid; and (iii) when the object is detected in the first grid, generating a signal for controlling discharge of fluid from a fluid discharging unit so that fluid flows through the first area including the first grid.

A motor control device includes an acceleration detecting section configured to detect an acceleration of a control object, and an acceleration control section configured to control an acceleration of a motor driving the control object based on the detected acceleration, in which the acceleration control section includes a vibration component extraction filter configured to extract a vibration component generated between the motor and the control object, and the vibration component extraction filter changes a filter characteristic frequency according to at least one of a position and a mass of the control object.

A diagnostic system includes a tool to perform machining on a workpiece, a test piece to be subjected to test machining by the tool for abnormal detection, a sensor to generate sensor data representing a physical quantity generated in the test machining, and circuitry. The test piece is different from the workpiece. The circuitry controls the tool to perform the test machining in each cycle of machining on the workpiece and calculates a degree of abnormality from the sensor data of the test machining. The test machining is performed on the test piece under a test machining condition corresponding to a machining condition of the machining on the workpiece.

A tool management system of a machine tool includes: a detection unit to detect at least one of vibration, acoustic waves produced during operation of the machine tool, and current value of a server motor of a driving machine tool; a tool replacement determination unit that determines the necessity to replace the tool on the basis of information related to a detection value of at least one of the vibration, the acoustic waves, and the current value detected during operation of the machine tool; and a detection start/end command setting unit that adds commands for a detection start point and a detection end point of at least one of the vibration, the acoustic waves, and the current value of the servo motor to a machining program.

A dental milling machine for producing a dental object having a sensor for detecting signals caused by a machining tool and an electronic controller for controlling the machining tool based on the detected signals.

An information processing apparatus includes a detection result acquisition unit configured to acquire a detection result of a physical quantity that changes as a movable body moves while being in contact with a subject; an image data acquisition unit configured to acquire image data of the subject; and a display control unit configured to control a display to display likelihood information indicating a likelihood of abnormality of the subject and the image data in association with each other. The likelihood is determined based on the detection result.

A method and a system for estimating state of wear of a cutting tool mounted on a machine tool. The system includes an acquisition module configured to acquire at least one operating signal specific to the cutting tool during at least one interaction of introduction or of extraction between the cutting tool and the material to be machined, and a microprocessor configured to generate from the at least one operating signal a wear signature of the cutting tool and to determine the state of wear of the cutting tool as a function of the signature.

A cutting tool for turning includes a cutting insert having a cutting edge, a holder for holding the cutting insert, a wireless communication unit for transmitting information based on a measurement result of a sensor attached to the cutting tool, an acceleration sensor installed in the holder, and a control unit for performing first control for controlling activation of the wireless communication unit based on the measurement result of the acceleration sensor.

A system and method for monitoring and predicting wear of a cutting tool used for machining a workpiece is disclosed. The system includes a cutting tool having a shank and a cutting head. The system also includes a split, modular and wireless wear detection system including one or more sensors mounted to the cutting tool for providing a data signal representative of a physical condition of the system, and a data recording and data transmitting device for recording the data signal from the one or more sensors and for generating and transmitting a data signal to a processor. The processor applies a machine learning data processing technique in real time to monitor and/or predict a condition of various components and/or parameters of the system during a metal cutting operation.