A method for determining a vibration amplitude of a tool, includes the steps of: generating a light beam of a light barrier with a transmitter for generating the light beam and a receiver for detecting a light intensity of the light beam; generating a receiver signal on the basis of a light intensity of the light beam that is detected by the receiver of the light barrier; positioning a tool tip of the tool in the light beam; causing the tool to vibrate; determining the vibration amplitude of the tool from a modulation of the receiver signal brought about by the vibration of the tool.

A wear amount measuring device includes: a light emitting unit configured to emit light on an object to be measured having a wear surface; an imaging unit configured to obtain an image of the object; and a calculation unit configured to calculate a wear amount by specifying a wear surface of the object from the obtained image. A positional relationship between the light emitting unit, the imaging unit, and the object is set such that, when a dummy object to be measured having a wear surface is arranged in place of the object, the light emitting unit and the imaging unit have a specular reflection relationship relative to the wear surface of the dummy object. The calculation unit calculates the wear amount by specifying the wear surface based on a difference in brightness of the image.

The invention relates to a processing centre (1) or cutting materials, consisting of a cutting machine (2a) and an adjusting device (5), wherein the adjusting device (5) has a positioning device (8), an illumination device (9,9a) and an image sensor (11), wherein the positioning device (8) holds a tool unit (10) to be illuminated by the illumination device (9,9a) in front of the image sensor (11) in such a way that the image sensor (11) is partially shaded by tie tool unit (10), wherein the image sensor (11) has a greater maximum extension in at least one spatial coordinates direction than the tool unit (10) in the same spatial coordinates direction, and wherein the outline contour of the tool unit (10) is determined using the value for the extension of the shaded region.

A machine tool for machine processing workpieces by using a tool having a pull stud at a proximal end portion thereof. The machine tool includes a tool magazine having a number of tool holders each of which is capable of attaching and detaching the tool, a spindle which holds the tool at the time of machine processing the workpieces, and a controller which determines whether or not the pull stud is appropriate on the basis of detected data of a visual sensor which is provided inside or outside the machine tool, and which captures images of the pull stud of a tool holder of the tool, or detected data of a sensor which is provided inside the tool magazine, and which measures length, electric resistance, or electric capacity of the pull stud.

The application relates to a method for the automatic determination of the geometrical dimensions of a tool having a machining region in worm thread form, in particular of a grinding worm, in a gear cutting machine, wherein at least one parameter of the tool is automatically detected and/or determined by means of at least one sensor.

A machine tool includes: a tool magazine that stores a plurality of tools; a spindle that holds one of the plurality of tools stored in the tool magazine; a glossiness measurement unit that measures glossiness of a tapered outer surface of a taper shank of each of the plurality of tools; a deterioration determination unit that determines whether or not the tapered outer surface is deteriorated on the basis of the glossiness measured by the glossiness measurement unit; and a notification unit that notifies an operator of deterioration of the tapered outer surface if it is determined by the deterioration determination unit that the tapered outer surface is deteriorated.

A tool wear monitoring and predicting method is provided, and uses a hybrid dynamic neural network (HDNN) to build a tool wear prediction model. The tool wear prediction model adopts actual machining (cutting) conductions, sensing data detected at the current tool run of operation and the predicted tool wear value at the previous tool run of operation to predict a predicted tool wear value at the current tool run. A cyber physical agent (CPA) is adopted for simultaneously monitoring and predicting tool wear values of plural machines of the same machine type.

A tool device (1) for machining a workpiece (4) by cutting, milling, drilling or grinding, comprising a sensor (20) for detecting a condition of the tool device (1) during machining, wherein the sensor (20) is connectable to a receiving unit (40), which transmits data to an analysis unit (50) for analyzing the received data. The sensor (20) is configured as a fiber optic sensor (20) comprising at least one optical fiber (26) providing an incident optical path (22) and a reflected optical path (24) for a light beam emitted by a connectable light source (30) and with a distal end thereof lying in a surface (14, 74) of the tool device (1) such that the optical path length can be measured.

An automated constructing method of cloud manufacturing service is provided for a distributed system including a virtual machine and a service manager. The method includes: obtaining a library package which is locally built, analyzing the library package to obtain key information, and generating a library information file; automatically generating a project source code file according to the library information file, and generating a web service package according to the project source code file; and deploying, by the service manager, the web service package on the virtual machine.

This tool exchange device for a machine tool uses an exchange arm to exchange tools between a processing area and a tool accommodation area. In the tool exchange device, an imaging device is used to capture an image of a tool in the tool accommodation area, operation parameters for the exchange arm when the exchange arm is used to exchange the tools are determined from the captured image of the tool, and the exchange arm is operated on the basis of the operation parameters to exchange the tool.