A controller includes a determination circuit, a setting circuit, and a control circuit. The determination circuit is configured to determine whether a chatter vibration is occurring while a spindle is rotating and a workpiece is being cut. The setting circuit is configured to set an upper limit and a lower limit on a change amount of a rotational speed of the spindle. The control circuit is configured to determine the change amount randomly from a range between the upper limit and the lower limit and configured to rotate the spindle at a second rotational speed obtained by changing a first rotational speed by the change amount that has been determined if the chatter vibration is determined as occurring while the control circuit controls the rotational speed of the spindle at the first rotational speed.

Example implementations described herein are directed to systems and methods for extracting signal in the presence of noise for industrial IoT systems. Through the example implementations described herein, the high-frequency band signal of the sensor output can be maintained despite data compression, while also retaining information regarding the condition of the machine. Example implementations can also generate compressed data pairs to synchronized downsampled envelopes and spectrum data.

A vertical lathe with a damped vibration absorber is provided, having a ram which has an accessory on the free end thereof, the ram being movable between a retracted position and an extended position wherein vibrations are produced in, at least, two main bending directions (D1, D2) of the ram, a movable mass which is arranged in the accessory, or in the ram, guide means adapted to guide the movable mass in at least one of the main bending directions (D1, D2) of the ram, and at least one first pair of elastic stops which are arranged in the main bending direction (D1, D2) of the ram, between the movable mass and the accessory, or between the movable mass and the ram.

A motor control device includes an acceleration detecting section configured to detect an acceleration of a control object, and an acceleration control section configured to control an acceleration of a motor driving the control object based on the detected acceleration, in which the acceleration control section includes a vibration component extraction filter configured to extract a vibration component generated between the motor and the control object, and the vibration component extraction filter changes a filter characteristic frequency according to at least one of a position and a mass of the control object.

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.

The present invention provides a cross-axis and cross-point modal testing and parameter identification method for predicting the cutting stability, which is used to improve the accuracy of existing prediction methods of cutting stability. The method firstly installs a miniature tri-axial acceleration sensor at the tool tip, and conducts the cross-axis and cross-point experimental modal tests respectively. The measured transfer functions are grouped according to different measuring axes, and the dynamic parameters are separately identified from each group of transfer functions. Then, the contact region between the cutter and workpiece is divided into several cutting layer differentiators. After that, together with other dynamic parameters, all the parameters are assembled into system dynamic parameter matrices matching with the dynamic model. Finally, dynamic parameter matrices including the effects of cross-axis and cross-point model couplings are obtained. Moreover, the acceleration sensor in the method only needs to be installed once.

A diagnostic device includes: a spindle rotational frequency acquisition unit configured to acquire a spindle rotational frequency of a spindle; a pitch acquisition unit configured to acquire a pitch of streaks generated on a surface of a workpiece; a feed rate acquisition unit configured to acquire a feed rate of a tool when mirror surface machining is performed on the surface of the workpiece; a streak frequency calculator configured to calculate a streak frequency that is a cause of the streaks, from the pitch of the streaks and the feed rate of the tool; a causal frequency calculator configured to calculate a causal frequency which causes vibrations of the streak frequency; and a notifying unit configured to indicate whether or not there is a peripheral device that generates vibrations at the causal frequency, around a machine tool.

A machine tool includes: a main spindle that holds a work piece; a tool holding unit that holds a tool for processing the work piece; a detection unit that detects vibration generated during processing of the work piece; and a processor that controls machining of the work piece performed by the tool, in which the processor compares a detected value detected by the detection unit with a predefined threshold value, interrupts the machining by releasing contact between the work piece and the tool at time of generation of chatter vibration or when there is a sign of the generation of the chatter vibration in which the detected value exceeds the threshold value, and analyzes the chatter vibration while the machining is being interrupted on basis of the detected value detected by the detection unit before the interruption.

An NC unit calculates the phase difference in chatter vibration during working on the basis of detection result of sound produced by working a workpiece by an end mill, increases the number of rotations of the end mill by a predetermined number if the phase difference is smaller than a first phase difference threshold, and decreases the number of rotations of the end mill by a predetermined number if the phase difference is larger than a second phase difference threshold. Further, if the phase difference is between the first phase difference threshold and the second phase difference threshold, the NC unit finds the resonance frequency of a machine tool by multiplying a chatter frequency by a correction factor that changes according to the chatter frequency, and calculates the number of rotations of the end mill on the basis of the resonance frequency, to obtain stable working with suppressed chatter vibration.

A machine tool includes: a display; a tool configured to machine a workpiece; a spindle configured to rotate the tool or the workpiece; a sensor configured to detect a vibration frequency of the spindle or the tool; and a processor configured to control the machine tool. The processor is configured to: detect a chatter vibration in the spindle or the tool based on the vibration frequency; based on a frequency of the chatter vibration, a rotation speed of the spindle, and the number of cutting edges of the tool, calculate an order corresponding to the number of vibrations of the tool during a period of time until a current rotation angle of a first cutting edge of the tool reaches a current rotation angle of a second cutting edge of the tool; and present order information on the display, the order information indicating a magnitude of the calculated order.