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.

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 cutting tool, a turning machine including the cutting tool, and an associated method are provided. The cutting tool includes a tool bar extending along an axis, a cutting head located at the tool bar, and at least one sensor integrated with the tool bar or the cutting head. A rotational orientation of the cutting tool with respect to the axis is estimated based on output provided by the at least one sensor. In at least some embodiments, the at least one sensor includes accelerometers configured to measure acceleration in at least two directions.

A cutting tool, a turning machine including the cutting tool, and an associated method are provided. The cutting tool includes a tool bar extending along an axis, a cutting head located at the tool bar, and at least one sensor integrated with the tool bar or the cutting head. A rotational orientation of the cutting tool with respect to the axis is estimated based on output provided by the at least one sensor. In at least some embodiments, the at least one sensor includes accelerometers configured to measure acceleration in at least two directions.

A control system for controlling oil-injection of a machine tool includes a sensor, a signal-processing device and a control device. The sensor senses movement of a machine component of the machine tool and outputs a sense signal to the signal-processing device. The signal-processing device derives analysis signals from the sense signal and sends the analysis signals to the control device. The control device determines whether to output an oiling signal to the machine tool to trigger an oiling device to oil the machine component according to an accumulated moving distance and a variation value that are calculated based on the analysis signals.

A movement controller controls a feed mechanism to move a vibration device relative to a workpiece. A vibration controller controls vibration of piezoelectric elements of the vibration device. The vibration controller acquires a status value indicating a vibration control status and detects contact between a cutting tool and the workpiece or the like based on a change in the status value. The vibration controller acquires at least one among energy consumption required for the vibration and a resonance frequency as the status value. The vibration controller determines a relative positional relationship between the cutting tool and a rotation center of the workpiece based on coordinate values of at least two contact positions.

A movement controller controls a feed mechanism to move a vibration device relative to a workpiece. A vibration controller controls vibration of piezoelectric elements of the vibration device. The vibration controller acquires a status value indicating a vibration control status and detects contact between a cutting tool and the workpiece or the like based on a change in the status value. The vibration controller acquires at least one among energy consumption required for the vibration and a resonance frequency as the status value. The vibration controller determines a relative positional relationship between the cutting tool and a rotation center of the workpiece based on coordinate values of at least two contact positions.

Methods, sensors, and machines for transmitting machine access data of a machine to a wireless measurement sensor attached to the machine. A method of transmitting access data of a communication interface of a machine to a wireless measurement sensor attached to the machine includes: controlling a machine component of the machine which influences the measurement signals of the measurement sensor, according to specific information associated with the access data and evaluating the measurement signals to determine the access data of the communication interface of the machine.

Methods, sensors, and machines for transmitting machine access data of a machine to a wireless measurement sensor attached to the machine. A method of transmitting access data of a communication interface of a machine to a wireless measurement sensor attached to the machine includes: controlling a machine component of the machine which influences the measurement signals of the measurement sensor, according to specific information associated with the access data and evaluating the measurement signals to determine the access data of the communication interface of the machine.

A control system for controlling oil-injection of a machine tool includes a sensor, a signal-processing device and a control device. The sensor senses movement of a machine component of the machine tool and outputs a sense signal to the signal-processing device. The signal-processing device derives analysis signals from the sense signal and sends the analysis signals to the control device. The control device determines whether to output an oiling signal to the machine tool to trigger an oiling device to oil the machine component according to an accumulated moving distance and a variation value that are calculated based on the analysis signals.