A thermal displacement compensation system detects a state quantity indicating a state of an operation of a machine, infers a thermal displacement compensation amount of the machine from the detected state quantity, and performs a thermal displacement compensation of the machine based on the inferred thermal displacement compensation amount, of the machine. The thermal displacement compensation system generates a learning model by machine learning that uses a feature quantity and stores the generated learning model in association with a combination of specified conditions of the operation of the machine.

A thermal displacement compensation system detects a state quantity indicating a state of a machine, infers a thermal displacement compensation amount of the machine from the detected state quantity, and performs a thermal displacement compensation of the machine based on the inferred thermal displacement compensation amount of the machine. The thermal displacement compensation system generates a learning model by machine learning that uses a feature quantity, and stores the generated learning model in association with a combination of specified conditions of individual difference of the machine.

A thermal displacement compensation system detects a state quantity indicating a state of a machine, infers a thermal displacement compensation amount of the machine from the detected state quantity, and performs a thermal displacement compensation of the machine based on the inferred thermal displacement compensation amount of the machine. The thermal displacement compensation system generates a learning model by machine learning that uses a feature quantity, and stores the generated learning model in association with a combination of specified conditions of individual difference of the machine.

A clamping system for machine tools includes a body portion configured to be received in a holding fixture of a machine, a tool holder integrally formed with and extending longitudinally from the body portion, the tool holder having a mounting mechanism on a distal end thereof for receiving a cutting tool, at least one fluid delivery vein extending through the tool holder from the body portion to the distal end of the tool holder, and at least one outlet at the distal end of the tool holder, the at least one outlet being configured to direct a fluid from the at least one fluid delivery vein toward at least one of the cutting tool and a workpiece.

The invention relates to a method for compensating deflection of a tool during machining of a workpiece using a machine tool, wherein a control unit of the machine tool balances the compensation of the deflection differently in straight portions (41) and in curved portions depending on a dimension E of engagement conditions in a contact point between the tool and the workpiece, a) on the basis of a ratio of a tool radius R1 and a radius of curvature R2 of the workpiece according to the formula E=R1/R2 and/or b) on the basis of a ratio of a current engagement length L of the tool in the circumferential direction on the workpiece and an engagement length LG of the tool in the circumferential direction on the workpiece during machining of a straight portion of the workpiece according to the formula E=L/LG.

The invention relates to a method for compensating deflection of a tool during machining of a workpiece using a machine tool, wherein a control unit of the machine tool balances the compensation of the deflection differently in straight portions (41) and in curved portions depending on a dimension E of engagement conditions in a contact point between the tool and the workpiece, a) on the basis of a ratio of a tool radius R1 and a radius of curvature R2 of the workpiece according to the formula E=R1/R2 and/or b) on the basis of a ratio of a current engagement length L of the tool in the circumferential direction on the workpiece and an engagement length LG of the tool in the circumferential direction on the workpiece during machining of a straight portion of the workpiece according to the formula E=L/LG.

A machine learning device that can optimize an equation for estimating a thermal displacement amount of a machine element based on the operating state of the machine element. The device acquires operating state data of the machine element, acquires a measured value for the thermal displacement amount, stores the operating state data and measured values for the thermal displacement amount of the machine element as training data associated together as a label, sets an equation for calculation the thermal displacement amount based on the operating state data, calculates an estimated value for the thermal displacement amount by substituting the operating state data into this equation, determines whether a difference between the estimated value for the thermal displacement amount and the measured value for the thermal displacement amount is no more than a predetermined threshold.

A machine learning device that can optimize an equation for estimating a thermal displacement amount of a machine element based on the operating state of the machine element. The device acquires operating state data of the machine element, acquires a measured value for the thermal displacement amount, stores the operating state data and measured values for the thermal displacement amount of the machine element as training data associated together as a label, sets an equation for calculation the thermal displacement amount based on the operating state data, calculates an estimated value for the thermal displacement amount by substituting the operating state data into this equation, determines whether a difference between the estimated value for the thermal displacement amount and the measured value for the thermal displacement amount is no more than a predetermined threshold.

A method for designing cutting conditions for cutting a workpiece with a cutting tool uses design parameters, including a feed speed, an axial direction cutting amount, a radial direction cutting amount, and a cutting speed of/by the cutting tool. A deflection amount of the cutting tool is calculated from the design parameters. Then a chattering vibration occurs or not in the cutting tool is determined. Depending on the determination result, a maximum cutting thickness of the workpiece is calculated. Then a cutting temperature of the cutting tool is calculated. Then whether a tool life of the cutting tool is satisfied or not is determined. Depending on the determination result, a cutting efficiency of the cutting tool is calculated and compared with data of a cutting efficiency stored in advance. When the calculated cutting efficiency is a maximum value among the data, the design parameters are used as the cutting conditions.

A method for designing cutting conditions for cutting a workpiece with a cutting tool uses design parameters, including a feed speed, an axial direction cutting amount, a radial direction cutting amount, and a cutting speed of/by the cutting tool. A deflection amount of the cutting tool is calculated from the design parameters. Then a chattering vibration occurs or not in the cutting tool is determined. Depending on the determination result, a maximum cutting thickness of the workpiece is calculated. Then a cutting temperature of the cutting tool is calculated. Then whether a tool life of the cutting tool is satisfied or not is determined. Depending on the determination result, a cutting efficiency of the cutting tool is calculated and compared with data of a cutting efficiency stored in advance. When the calculated cutting efficiency is a maximum value among the data, the design parameters are used as the cutting conditions.