Locating system for machine tools including a machine tool for working on a object's machining surface by removing material and movement apparatus for placing in direct contact with the machining surface and for moving the machine tool with respect to the object while the tool works on the object, at least two locating apparatuses each including supporting portion for placing at a fixed point on the machining surface, detector including first cable or second cable for connecting the locating apparatus to the machine tool, and a locating portion to release or receive the cable to measure distance detected between the machine tool and locating apparatus. The detector is configured to allow mutual connection of the locating apparatuses to allow direct measurement of distance between locating apparatuses and distance is further obtainable indirectly from the distances detected by the detector between the machine tool and locating apparatuses.

In a method for automated positioning of a blank in a processing machine provided with a housing and a spindle unit with an electric motor, a control unit for control and electrical supply of the processing machine, a computer producing processing programs for manufacturing workpieces, a workpiece holder, and an image recording unit that optically records image data of a blank received in the workpiece holder, a blank is fixed in the processing machine and the image recording unit produces an image of the blank. A division of the blank into an already processed region and into an unprocessed region based on the image data of the image is performed. A workpiece geometry to be produced is assigned to the unprocessed region of the blank, and a milling operation is performed on the unprocessed region. In a variant of the method, the image recording unit is separate from the processing unit.

Processing data during polygon processing is stored in the processing data storage unit 17. The position detection unit 18 detects a cut-start position A and a cut-end position B of a workpiece based on a change in the processing data. The position detection unit 18 detects a processing surface based on the cut-start position A and the cut-end position B.

A milling machine calibration technique, and article of manufacture are described. The article comprises a calibration fixture, together with a calibration pin. The calibration fixture preferably is shaped as a cube, and each of the side faces of the cube comprise a set of indentations (dimples or features) that are configured in a predetermined pattern. A preferred pattern is a 5-dimple pattern. To find a mapping between axis coordinates (of a mill spindle) and the mill mandrel at some orientation, the calibration fixture is inserted into the mandrel, and the calibration pin is inserted into a collet. Using an x-axis directional position error-based probing mechanism, the system then registers the exact position of each of the five (5) dimples on the surface of the die. Using the positional information so determined, spindle-mandrel spatial relationships for one or more orientations of the mandrel are then identified for calibration purposes.

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.

The present invention is directed to a method for predicting chatter of a machine tool. The method comprises the following steps: Feeding first input data into an artificial neural network, which includes a plurality of weights; Determining first output data at the output of artificial neural network based on the first input data and the plurality of weights; Providing the first output data into a stability model to generate prediction data; Comparing the prediction data with measurement stability data and adjusting the plurality of weights of the artificial neural network.

A milling machine processing system with an intelligently follow-up cutting fluid nozzle and a working method thereof including a workpiece stage, a milling machine box arranged above the workpiece stage, a milling cutter mechanism mounted on the milling machine box for processing workpieces on the workpiece stage, a rotating mechanism mounted on an end surface of the milling machine box located at a side of a milling cutter, the rotating mechanism is connected with a two-axis linkage mechanism and drives the two-axis linkage mechanism to rotate about a center line where the milling cutter is located, the two-axis linkage system is connected with a nozzle through an angle adjusting mechanism and is used for adjusting a position and an angle of the nozzle, and the milling machine processing system has an infrared temperature detection module for collecting the temperature of a processing region.

A method for using a geometrical probe (5) with a spindle (3) of a machine tool (1), wherein a probe fetch waiting state of the machine tool (1), at least one temperature parameter related to a temperature of the spindle (3) of the machine tool (1) is determined by measuring at least one temperature value for the spindle (3), and time for fetching the geometrical probe (5) is determined depending on the at least one temperature parameter.

A cutting processing apparatus includes a cutting tool, a chuck portion, a feed mechanism, a fixing portion that fixes the cutting object, a stage that moves the fixing portion at a processing speed in a direction substantially orthogonal to a rotation axis of the chuck portion, a sensor that is arranged in the vicinity of a position on the fixing portion at which the cutting object is fixed, detects vibration of the cutting tool during cutting processing of the cutting object, and outputs a monitoring signal, and a control circuit that converts time waveform data of the monitoring signal to frequency waveform data and extracts an impact amount during cutting processing of the cutting object from the frequency waveform data.

This method, for controlling a machine tool using a tool holder to which a coolant pipe is attached, includes: a step of detecting, in response to a signal indicating that a tool is prepared on a tool loading station of the machine tool, whether or not an abnormality has occurred in attaching the coolant pipe to the tool holder of the tool while the tool holder is at the tool loading station; and a step of issuing an alarm when the abnormality is detected in the step of detecting the occurrence of the abnormality.