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.

Provided is an information processing method capable of effectively utilizing a variety of types of information collected from a machine tool. The information processing method includes the step of communicating with a plurality of machine tools (S10). The plurality of machine tools each include a sensor to sense information about the machine tool as sensed information. The step of communicating (S10) includes the step of receiving as collected data from each of the plurality of machine tools part information about a part of the machine tool and the sensed information obtained by the sensor. The information processing method further includes the steps of storing in a storage unit the collected data received from each of the plurality of machine tools (S20A, S20B); and based on the plurality of collected data stored in the storage unit, learning a correlation between part information of a machine tool and sensed information obtained by the sensor internal to that machine tool (S32).

A device is provided for capturing operating data of a tool, wherein the tool is powered by an electric motor or a combustion engine, and wherein the device is embodied separately from the tool and is able to be coupled to the tool. The device includes: an operating data sensor, which is configured to wirelessly capture operating data of the tool, an operating data memory, which is configured to store operating data captured by the operating data sensor; and a communication interface, which is configured to wirelessly transmit operating data stored in the operating data memory to a terminal device.

A method for detecting and compensating CNC tools being implemented in an electronic device, receives from a detector first parameters and second parameters in respect of a first tool. Such first parameters include at least one of service life, blade break information, and blade chipping information of the first tool, and such second parameters include at least one of length extension information, length wear information, radial wear information, and blade thickness wear information of the first tool. Based on the first parameters, instructions to process the workpiece are transmitted or not. Upon receiving the second parameters, instructions to adjust operation of the first tool are transmitted, to compensate for deterioration in normal use.

A processing system having a function for appropriately maintaining processing accuracy, without depending on a degree of abrasion of a tool. An unused tool used in a machine tool is captured by using a camera mounted on a robot, so as to obtain a reference image of the tool. Next, an image of the tool is captured after a predetermined number of processing operations carried out. An average amount of tool abrasion per one processing operation is calculated based on the two images, so as to estimate a current amount of tool abrasion. Based on the estimation result and a previously input limit amount of abrasion, the number of remaining possible processing operations of the tool is calculated and output.

A method for evaluating tool health with the temperature rising signal, applied to a machine tool that utilizes a tool to perform a removal process upon a workpiece, comprises the steps of: setting a target machining instruction; utilizing a processor to divide the target machining instruction into a residual machining instruction and a micro machining instruction; performing the residual machining instruction; without any coolant or with little coolant, performing the micro machining instruction, and having at least one thermal image sensor to detect a thermal image of a contact area of the tool and the workpiece; having the processor to derive a temperature feature by evaluating the thermal image; and, having the processor to compare the temperature feature with at least one threshold for determining the tool health.

An abnormality factor identification apparatus includes a sensor signal obtaining unit that obtains sensor signals associated with the physical state of a machine, an operating state determination unit that determines operating states of the machine based on information obtained from the machine, an abnormality level calculation unit that calculates the abnormality levels of the sensor signals for each operating state of the machine determined by the operating state determination unit, and a factor identification unit that determines a factor in an abnormality in the machine from historical data being a series of the abnormality levels for each operating state.

A machine tool includes a workpiece spindle device which rotates a workpiece, a tool post which can move a tool in a first axis direction (X-axis direction) which is a radial direction of the workpiece and a second axis direction (Z-axis direction) which is an axial direction of the workpiece, and an articulated robot including a plurality of arms, a plurality of joints, and end effectors. The plurality of joints connect the plurality of arms in a rotatable manner around an axis parallel to a third axis (Y-axis) orthogonal to the first axis and the second axis, and the end effectors move in a plane parallel to a movement plane of the tool.

A machining status display apparatus includes a display device having a display screen, a stability lobe picture creator creating, based on specifications of a tool to be used, display picture data for displaying a stability lobe as a correlation diagram between a spindle rotation speed and a limit depth of cut of the tool above which regenerative chatter occurs, a first machining information picture creator creating display picture data for displaying machining related information other than regenerative chatter corresponding to set machining conditions, and a display controller displaying the stability lobe and the machining related information with the stability lobe and the machining related information superimposed one on another on the display screen of the display device based on the display picture data created by the stability lobe picture creator and the display picture data created by the first machining information picture creator.

A method is disclosed for detecting the wear of a cutter in a key-duplicating machine, the cutter being provided with cutting sections to obtain bitting cuts on a key and being put in rotation by an electric motor. The method includes measuring, during at least one cutting cycle carried out by means of the cutter, the values of current and/or voltage absorbed/required by the motor for rotation of cutter and/or motor torque values exerted by the motor. The values thus detected are used to determine if there is wear of the cutting portions of the cutter and/or to quantify the wear of the cutting portions of the cutter.