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.

A learning model construction device used in a machine tool which performs cutting processing constructs a learning model for learning temperature-related information after processing of a spindle motor during cutting processing. A learning model construction device includes an input unit that inputs cutting processing conditions and a present temperature of a spindle motor. The learning model construction device also includes a learning unit that receives the cutting processing conditions and the present temperature of the spindle motor and a label which is a temperature of the spindle motor after the cutting processing is performed as a set of teaching data and performs machine learning on the basis of the teaching data to thereby construct a learning model for learning temperature-related information. after processing of the spindle motor during the cutting processing.

A temperature of a portion of which the temperature is difficult to directly measure is accurately estimated in a simple method.

In S1, information about a coolant discharging/stopping state is obtained. As the information about the coolant discharging/stopping state, a flag is used such that the flag represents 1 for the discharging state and the flag represents 0 for the stopping state. Next, in S2, temperature data is obtained from temperature sensors provided in components of a machine tool, a machining space, and a coolant tank. Next, in S3, lag process is performed for the coolant discharging/stopping state flag, and coefficients for measured temperatures of the coolant and the structure are calculated. Next, in S4, the measured temperatures are multiplied by the coefficients, and an estimated temperature of a portion to which the temperature sensor is not attached is calculated.

A measurement, calibration and compensation system for machine tool includes a first positioning base; two first speckle image sensors for sensing speckle positions of an object holding unit at a first XY plane and a first XZ plane of the first positioning base before and after the machine tool is started for machining; a second positioning base; two second speckle image sensors for sensing speckle positions of a cutter holding unit at a second XY plane and a second YZ plane of the second positioning base before and after the machine tool is started for machining. Thus, the thermal expansion at all axes of the machine tool can be measured in a simplified and low-cost way, and the absolute positioning coordinates of all axes of the machine tool can be calibrated in real time to avoid reduced positioning accuracy due to the thermal expansion of the multi-axis machine tool.

The present disclosure provides warm-up compensation system and method. This method includes steps as follow. Critical area of a machine is analyzed, where the critical area includes a plurality of critical temperature-sensitive blocks and at least one critical heating block. Then, temperature sensors are used to detect the temperature of the critical areas of the machine. The correspondence relationship among temperature changes of critical areas, tilt angle changes of a spindle of the machine and temperature changes of the at least one critical heating block along heating time. The critical area of the machine is compensated in accordance with the correspondence relationship. Whether the temperature of the spindle has reached equilibrium is determined.

To provide a wire electric discharge machine which can appropriately perform thermal displacement correction of upper/lower guides even when the installation environment changes. Provided are a storage unit that stores temperatures of machine elements as temperature data, and a rendering unit that digitizes the installation environment and renders as environmental data. Additionally provided are a position command unit that commands a relative position of the upper/lower guides; and a relational expression calculation unit that sets the temperature data environmental data as input data, sets the relative position as training data, and calculates the relational expression by way of machine learning. Further provided are a relational expression decision unit that calculates a correction amount by substituting the temperature of the machine element into this relational expression, and in the case of error between the relative position of the upper/lower guides based on this correction amount and the relative position commanded by the position command unit being small, decides this relational expression as a formal relational expression; and a correction execution unit that performs correction on the relative position of the upper/lower guides using this relational expression.

To provide a wire electric discharge machine capable of suitably and simply performing thermal displacement correction on upper and lower guides. Provided are a storage unit that stores temperatures of machine elements and actual values for relative positions of upper and lower guides to be associated with each other as associated data; and a relational expression calculation unit that infers and calculates a relational expression between the temperature of the machine element and the relative positions of the upper and lower guides by way of machine learning with this associated data as training data. Additionally provided are a position estimation unit that substitutes temperatures of the machine element into the relational expression and calculates an estimated value for the relative position of the upper and lower guides; and a correction amount calculation unit that calculates a correction amount for the upper and lower guides, based on the estimated value for the relative position. Further provided is a correction execution unit that performs correction of the relative position of the upper and lower guides based on this correction amount.

Provided is a thermal displacement correction device for a working machine that includes a thermal displacement correction amount calculation unit for calculating a thermal displacement correction amount and configured to correct a thermal displacement amount caused by heat generated and radiated from the working machine and changing with time by the thermal displacement correction amount, the thermal displacement correction device for the working machine including: a correction error coefficient storage memory; a correction precision calculation unit configured to calculate the correction precision of the thermal displacement correction amount based on the thermal displacement correction amount and the correction error coefficient; and a correction precision degradation notification unit.

A system includes memory that stores compensation information that associates process setpoint temperatures with respective adjustment values. The respective adjustment values include a first adjustment value corresponding to a first temperature compensation scheme and at least one second adjustment value corresponding to a second compensation scheme. A temperature compensation module receives a first process setpoint temperature, retrieves the compensation information from the memory based on the received first process setpoint temperature, calculates a first compensated temperature based on the received first process setpoint temperature, the first adjustment value, and the second adjustment value, and controls a temperature of a component of a substrate processing system according to the first compensated temperature.

Machine tools are provided, including machines tools of large dimension, which include a bench, an upright base, control elements for the translation of the upright base, an upright base position sensor comprising an optical line or linear encoder fixed to the bench, detection elements for detecting the temperature of the optical line and management elements for processing the temperature signals coming from the optical line temperature detection elements and the signals of the upright base translation control elements to determine a correction signal for the upright base translation control elements according to at least one temperature detected along the optical line.