A processing apparatus includes a processing unit, a control unit, and a temperature detecting unit. The processing unit includes a cutting blade and a spindle assembly, the spindle assembly including a spindle having the cutting blade mounted on a distal end of the spindle and a spindle housing through which the spindle is inserted. A cooling fluid passage is formed in the spindle housing, the cooling fluid passage cooling the spindle assembly, and having one end connected to a cooling fluid supply source and having another end communicating with a cooling fluid outlet of the spindle housing. The temperature detecting unit detects the temperature of the spindle housing. The control unit determines whether a state of cooling of the spindle assembly is normal or abnormal on the basis of the temperature detected by the temperature detecting unit.

A machine tool management system connects an external server and a large number of NC devices controlling the external server and respective machine tools through a network. The system collects several kinds of signal data from the NC device of each machine tool to the external server. In the system, the external server collects an estimated thermal distortion from the NC device and compares the estimated thermal distortion with pre-stored data to determine whether the tool is machining favorably.

The present invention relates to an apparatus and a method of automatically converting thermal displacement compensation parameters of a machine tool, which automatically convert a compensation parameter of a thermal displacement compensation equation of a machine tool so that the compensation parameter is optimized to a current thermal displacement state of the machine tool in real time based on Z-directional or Y-directional displacement data of a tool tip end of a reference tool measured by a tool measuring unit according to an operation state of the machine tool or various kinds of machine tools or thermal displacement data of the machine tool calculated by measuring a processed portion of a processed material, and temperature data measured by a temperature measuring unit, to minimize a processing error according to thermal displacement and improve processing accuracy of the machine tool.

A method of thermal management in a computing device using a management controller is provided. The method includes obtaining, via a virtual management controller, monitoring information of a thermally sensitive component untethered to the management controller. The monitoring information can include temperature information of the thermally sensitive component. The method also includes transmitting, via the virtual management controller, the monitoring information to the management controller via a system interface of the management controller. Finally, the method includes adjusting, via the management controller, operation of a thermal management component of the computing device tethered to the management controller.

A method includes four steps, (1) setting an initial tool temperature, (2) estimating a temperature of a tool or a position measurement sensor based on the initial tool temperature and a temperature of a spindle, (3) estimating an amount of thermal displacement of the tool or the position measurement sensor with a preliminarily set tool thermal displacement estimation formula based on the estimated temperature, and (4) moving a feed shaft of the machine tool based on the estimated amount of thermal displacement to perform a correction. In the second step, the temperature of the spindle is measured, then a tool-mounted portion temperature of the spindle from the measured temperature is estimated. Further, the temperature of the tool or the position measurement sensor is estimated with the tool-mounted portion temperature, the initial tool temperature of the tool or the position measurement sensor, and the preliminarily set tool temperature estimation formula.

To provide a numerical controller capable of setting an index for an axis combination in a path and selecting a proper compensation model using the index. A numerical controller comprises: a thermal displacement compensation setting unit that sets an index of an axis combination as a target of implementation of thermal displacement compensation from control axis information data in which a control axis is recognizable, and finds a compensation model index matching the index, thereby selecting a corresponding compensation model; and a thermal displacement compensation unit that calculates a compensation value from operating state data having correlation with thermal displacement and from the compensation model.

A method of thermal management in a computing device using a management controller is provided. The method includes obtaining, via a virtual management controller, monitoring information of a thermally sensitive component untethered to the management controller. The monitoring information can include temperature information of the thermally sensitive component. The method also includes transmitting, via the virtual management controller, the monitoring information to the management controller via a system interface of the management controller. Finally, the method includes adjusting, via the management controller, operation of a thermal management component of the computing device tethered to the management controller.

A calculation formula learning unit sets a coefficient relating to a time lag element in a thermal displacement estimation calculation formula by machine learning while fixing a coefficient relating to measured data except the coefficient relating to the time lag element at a predetermined value based on a difference between a thermal displacement estimated value about a machine element calculated by substituting a measured data group into the thermal displacement estimation calculation formula and a thermal displacement actual measured value about the machine element; sets the coefficient relating to the measured data except the coefficient relating to the time lag element in the thermal displacement estimation calculation formula by machine learning based on the difference while fixing the coefficient relating to the time lag element at a predetermined value; and repeats the machine learning.

There is provided a thermal displacement correction apparatus for a machine tool which automatically determines necessity/unnecessity of actual measurement of the machine tool, the apparatus including: a thermal displacement correction unit that predicts a thermal displacement amount from an operation of a machine or a temperature of each portion of the machine and calculates a thermal displacement correction amount for correcting thermal displacement by adding, to a position command value of a feed axis, the thermal displacement correction amount for cancelling the thermal displacement amount thus predicted; and a thermal displacement correction amount adjustment unit that calculates an adjustment value for adjusting the thermal displacement correction amount on the basis of the thermal displacement correction amount, wherein a change amount E from the start of processing is obtained, E is compared with designated Em, and when EEm, actual measurement is performed with measurement means.

An adjustment necessity determination device is an adjustment necessity determination device that makes a determination, after a workpiece is machined, about a necessity to make an adjustment of a deviation of the axis position of each axis of a machine tool that has performed the machining and includes: a data acquisition unit that acquires a physical quantity relating to a cause of a deviation of the axis position of each axis of the machine tool, the physical quantity observed at the time of the machining; a time-series data storage unit that stores the physical quantity as time-series data; and an adjustment necessity judgement unit that makes a judgment about a necessity to make an adjustment of a deviation of the axis position of each axis of the machine tool based on the time-series data.