The invention relates to a machining tool for machining a workpiece, including a main spindle with a driven shank, a tool holder which can be clamped in the shank, a cutting tool which is arranged on the tool holder, a distance sensor for determining a distance of the shank of the main spindle in relation to a reference point, and a control unit which is configured to perform compensation of the tool path during machining of the workpiece based on an elongation and displacement of the shank and an elongation of the tool holder holding the cutting tool, wherein the elongation and displacement of the shank is determined based on the distance determined using the distance sensor, and wherein the elongation of the tool holder holding the cutting tool is determined based on a rotational speed of the shank.

The invention relates to a method for compensating for a deviation in an operating point (1) of a manipulator (2) during the processing of a workpiece (3) via an end effector (4) on the manipulator (2); wherein a command sequence is processed for controlling the manipulator (2) for the purpose of processing the workpiece (3), and a piece of setpoint position information (5) corresponding to a setpoint position (6) is generated based on the command sequence, the operating point (1) of the manipulator (2) being set based on said piece of setpoint position information (5); wherein the piece of setpoint position information (5) is processed using a compensation parameter set (7) which is related to the piece of setpoint position information (5), for ascertaining a compensation value (8), and the piece of setpoint position information (5) is adjusted according to the compensation value (8) for compensating for a deviation (9) between an actual position (10) of the operating point (1) and the setpoint position (6). The invention is characterized in that the actual position (10) is measured during the processing of the workpiece (3); in that a correction value (12) is ascertained, based on a comparison between the measured actual position (10) and the setpoint position (6); and in that the compensation parameter set (7) is adjusted during the processing of the workpiece (3) for reducing the deviation (9), based on the correction value (12).

Provided is a thermal displacement correction method using a machine learning method but making it possible to, on a user side, calculate a thermal displacement amount appropriate to a machine tool of the user and correct the thermal displacement. In a machine tool on a target user side, a thermal displacement amount between workpiece and tool corresponding to a temperature at a preset measurement point is calculated based on a parameter defining a relation between the temperature and the thermal displacement amount, and a positioning position for workpiece and tool is corrected in accordance with the calculated thermal displacement amount. On a manufacturer side, operational status information of the machine tool on the target user side is obtained, an operational status identical to the obtained operational status on the target user side is reproduced with a machine tool of a same type as the machine tool on the target user side based on the obtained operational status information, a temperature at a measurement point identical to the measurement point on the machine tool on the target user side and a thermal displacement amount between workpiece and tool are measured during reproduction, and the parameter is calculated by machine learning based on the measured temperature and thermal displacement amount. The parameter in the machine tool on the target user side is updated with the calculated parameter.

Provided is a thermal displacement correction method using a machine learning method but making it possible to, on a user side, calculate a thermal displacement amount appropriate to a machine tool of the user and correct the thermal displacement. In a machine tool on a target user side, a thermal displacement amount between workpiece and tool corresponding to a temperature at a preset measurement point is calculated based on a parameter defining a relation between the temperature and the thermal displacement amount, and a positioning position for workpiece and tool is corrected in accordance with the calculated thermal displacement amount. On a manufacturer side, operational status information of the machine tool on the target user side is obtained, an operational status identical to the obtained operational status on the target user side is reproduced with a machine tool of a same type as the machine tool on the target user side based on the obtained operational status information, a temperature at a measurement point identical to the measurement point on the machine tool on the target user side and a thermal displacement amount between workpiece and tool are measured during reproduction, and the parameter is calculated by machine learning based on the measured temperature and thermal displacement amount. The parameter in the machine tool on the target user side is updated with the calculated parameter.

A thermal displacement compensation apparatus includes a temperature measuring unit, a thermal displacement estimating unit, a thermal displacement compensation unit, a displacement measuring unit, a data recording unit, a thermal displacement compensation learning unit, and a displacement measurement timing diagnostic unit. The displacement measuring unit measures a displacement of a machine tool after compensating an axis command value. The thermal displacement compensation learning unit determines a thermal displacement estimation formula based on temperature information and the displacement recorded in the data recording unit. The displacement measurement timing diagnostic unit compares the temperature information at a past displacement measurement recorded in the data recording unit with current temperature information obtained from the temperature measuring unit, and determines whether to measure the displacement by the displacement measuring unit or not at a predetermined diagnosis timing.

A thermal displacement compensation apparatus includes a temperature measuring unit, a thermal displacement estimating unit, a thermal displacement compensation unit, a displacement measuring unit, a data recording unit, a thermal displacement compensation learning unit, and a displacement measurement timing diagnostic unit. The displacement measuring unit measures a displacement of a machine tool after compensating an axis command value. The thermal displacement compensation learning unit determines a thermal displacement estimation formula based on temperature information and the displacement recorded in the data recording unit. The displacement measurement timing diagnostic unit compares the temperature information at a past displacement measurement recorded in the data recording unit with current temperature information obtained from the temperature measuring unit, and determines whether to measure the displacement by the displacement measuring unit or not at a predetermined diagnosis timing.

An accuracy diagnostic device for a machine tool diagnoses an accuracy of the machine tool. The machine tool includes a change amount detection unit that measures a change amount. The change amount changes due to an installation environment and an operational motion. The accuracy diagnostic device includes a change-amount-reference-value recording unit that records a reference value of the change amount. The accuracy diagnostic device obtains the change amount measured by the change amount detection unit. The accuracy diagnostic device diagnoses a change of the accuracy of the machine tool based on a first change index derived from a magnitude of a change of the change amount per a predetermined period and a second change index derived from the current change amount and the reference value.

Provided are a fluctuation amount estimation device (9) capable of evaluating reliability of an estimated value and a correction amount calculation device (1) including the fluctuation amount estimation device (9). The correction amount calculation device (1) includes the fluctuation amount calculation device (9), a correction amount calculation unit (5), and a correction amount output unit (7). The fluctuation amount estimation device (9) includes a parameter storage (3) storing parameters as constituent elements of a neural network obtained by machine learning, an estimation unit (2) estimating a fluctuation amount relevant to a position of an element arranged in a machine tool (11) or a fluctuation amount of a distance between elements arranged in the machine tool (11) for each physical condition information of the machine tool (11) by means of the neural network with a parameter freely selected from the parameters being omitted, and a reliability evaluation unit (4) evaluating reliability of estimated multiple fluctuation amounts based on the estimated fluctuation amounts. The correction amount calculation unit (5) calculates a correction amount for the estimated fluctuation amounts based on the fluctuation amounts, and the correction amount output unit (7) outputs the calculated correction amount to outside.

A controller includes data collect circuitry configured to collect machining data including a date and a time when at least one machined portion of a workpiece has been machined by a machine tool, temperature circuitry configured to obtain, at predetermined time intervals, temperature data at positions on the machine tool, dimension data input circuitry configured to receive dimension measurement data which includes a dimension of the machined portion after the machined portion has been machined, learning data generate circuitry configured to generate learning data based on the machining data and the dimension measurement data, and machine learning circuitry configured to execute a machine learning based on the temperature data and the learning data to obtain a correction coefficient based on which a displacement caused by a change in a temperature of the machine tool is corrected according to a thermal displacement correction equation.

A machining accuracy diagnosing device includes a diagnosing information acquiring, an opening time setting unit, a cutting time setting unit, and a machining accuracy influence amount predicting unit. The diagnosing information acquiring unit acquires at least one of a room temperature inside the plant, a set temperature of a temperature regulating device, an air temperature outside the plant, a wind speed outside the plant, an opening degree of the door or the shutter, and a machine body temperature. The opening time setting unit sets an opening time of the door or the shutter. The machining accuracy influence amount predicting unit predicts an influence amount of opening of the door or the shutter on the machining accuracy based on the acquired information for diagnosis, the set opening time of the door or the shutter, and a set scheduled machining start time and a set scheduled machining end time.