An online geometric/thermal error measurement and compensation system for computer numerically controlled (CNC) machine tools belonging to the technical field of error testing and compensation of CNC machine tools. The online CNC machine tool geometric/thermal error measurement and compensation system includes two parts: the hardware platform and the measurement and compensation software. The hardware platform includes a unidirectional acceleration sensor, a precision integrated circuit (IC) temperature sensor, a multi-channel temperature data collector, and a geometric/thermal error measurement and compensation host. The error measurement and compensation software runs in the geometric/thermal error measurement and compensation host and realizes testing and compensation of geometric and thermal errors in machine tools, which are communicated to the FANUC CNC system.

A structural component for a machine tool is formed from a mineral casting and at least one sensor module is integrated into the structural component, wherein the sensor module is completely enclosed by the mineral casting and contains at least one sensor for detecting a mechanical load of the structural component during operation of the machine tool.

Disclosed is a cutting machine and a method for controlling a cutting machine with a retrieval of a cutting job for processing an object on a working surface of the cutting machine with a cutting device, a defining of a cutting path based on the cutting job, a continuous retrieval of position data, and a guidance based on the position data, of the cutting device along the cutting path for processing, in particular cutting, the object, characterized by a temperature compensation functionality with continuous retrieval of temperature data from one or more temperature sensors, and using the temperature data for defining the cutting path and/or for adjusting the cutting path.

A method for determining the preload value of the screw based on thermal error and temperature rise weighting. Firstly, thermal behavior test of the feed shaft under typical working conditions is carried out to obtain the maximum thermal error and the temperature rise at the key measuring points in each preloaded state. Then, a mathematical model of the preload value of the screw and the maximum thermal error is established; meanwhile, another mathematical model of the preload value of the screw and the temperature rise at the key measuring points is also established. Finally, the optimal preload value of the screw is obtained. The thermal error of the feed shaft and the temperature rise of the moving components are comprehensively considered, improving the processing accuracy and accuracy stability of the machine tool, and ensuring the service life of the moving components such as bearings.

A thermal displacement correction method is provided, including a first step of setting an initial tool temperature, a second step of estimating a temperature of a tool or a position measurement sensor based on the initial tool temperature and a temperature of a spindle, a third step of 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 a fourth step of 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 is estimated from the measured temperature.

A machine tool system is equipped with a machine tool and a controller. The machine tool is equipped with a machine tool body and at least one temperature sensor that acquires temperature data of the machine tool body. The controller is equipped with a storage that stores the temperature data acquired in time-series by the temperature sensor, and an auxiliary power supply that supplies power to the temperature sensor and the storage when the supply of power to the machine tool body is stopped. The controller controls the machine tool by using the temperature data over a predetermined time range stored in the storage, and selects, in response to a charge state of the auxiliary power supply, the temperature data to be used in first control after the supply of power to the machine tool body is resumed.

The present invention provides a planar three-dimensional displacement sensor for a multiaxis machining device. With the measurement of the (planar) three-dimensional displacement sensor in the multiaxis machining device, the multiaxis machining device and a multiaxis machining compensation method are able to eliminate various deformation effects effectively.

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.

The present invention provides a planar three-dimensional displacement sensor for a multiaxis machining device. With the measurement of the (planar) three-dimensional displacement sensor in the multiaxis machining device, the multiaxis machining device and a multiaxis machining compensation method are able to eliminate various deformation effects effectively.

A machine tool system is equipped with a machine tool and a controller. The machine tool is equipped with a machine tool body and at least one temperature sensor that acquires temperature data of the machine tool body. The controller is equipped with a storage that stores the temperature data acquired in time-series by the temperature sensor, and an auxiliary power supply that supplies power to the temperature sensor and the storage when the supply of power to the machine tool body is stopped. The controller controls the machine tool by using the temperature data over a predetermined time range stored in the storage, and selects, in response to a charge state of the auxiliary power supply, the temperature data to be used in first control after the supply of power to the machine tool body is resumed.