Abstract: The present invention is directed to a system for determining the structural characteristics of a machine tool. The system comprises an excitation device configured to induce a dynamic excitation in a tool of the machine tool, a preloading device configured to generate a static force on the tool, and a sensing device for acquiring a set of data based on which the structural characteristics of the tool can be determined.

Abstract: The present invention is directed to a method for predicting chatter of a machine tool. The method comprises the following steps: Feeding first input data into an artificial neural network, which includes a plurality of weights; Determining first output data at the output of artificial neural network based on the first input data and the plurality of weights; Providing the first output data into a stability model to generate prediction data; Comparing the prediction data with measurement stability data and adjusting the plurality of weights of the artificial neural network.

Abstract: The present invention is directed to a system for determining the structural characteristics of a machine tool. The system comprises an excitation device configured to induce a dynamic excitation in a tool of the machine tool, a preloading device configured to generate a static force on the tool, and a sensing device for acquiring a set of data based on which the structural characteristics of the tool can be determined.

Abstract: A chatter database system, which includes a central chatter database, which is fed with data corresponding to the machining and chatter conditions of machining tools, particularly a milling, turning, drilling or boring machine. The data fed to the central chatter database is obtained and collected from at least two individual machining tools included in the chatter database system. The data is sent to the central chatter database via a data connection, preferably via a secured network, to generate chatter stability maps based on real encountered conditions.

Abstract: The invention relates to a chatter database system, which includes a central chatter database, which is fed with data corresponding to the machining and chatter conditions of machining tools, particularly a milling, turning, drilling or boring machine. The invention is characterized by the features that the data fed to the central chatter database is obtained and collected from at least two individual machining tools included in the chatter database system. The data is sent to the central chatter database via a data connection, preferably via a secured network, to generate chatter stability maps based on real encountered conditions.

Abstract: A device and a method for preventing vibrations (19) in a rotating spindle (1) mounted in at least one front 8 and one rear bearing (9) in a machine tool, wherein the device comprises measuring units (2, 3, 4, 5) for detecting the vibrations (19) and correction device (6) for preventing the vibrations (19) disposed directly about the periphery (10, 11) of the spindle (1) in a contacting or non-contacting manner and that a control unit (7) for processing the measuring units (2, 3, 4, 5) and for calculating the correction values for the correction device (6) is assigned to this device.

Abstract: A device and a method for preventing vibrations (19) in a rotating spindle (1) mounted in at least one front 8 and one rear bearing (9) in a machine tool, wherein the device comprises measuring units (2, 3, 4, 5) for detecting the vibrations (19) and correction means (6) for preventing the vibrations (19) disposed directly about the periphery (10, 11) of the spindle (1) in a contacting or non-contacting manner and that a control unit (7) for processing the measuring units (2, 3, 4, 5) and for calculating the correction values for the correction means (6) is assigned to this device.