A universal manufacturing vise jaw plate for use on a machine tool with a vise fixture, and configured for real-time operational data collection and analysis. The vise plate comprises a combination of acoustic and vibration sensors with a plate for cutting tool monitoring applications.

A testbed device includes high performance actuators, a video microscopy system and a plurality of high resolution, throughput sensors adapted or configured for collecting data that may be used in predictive modelling of machine processes.

A wire disconnection prediction device includes: a data acquisition part configured to acquire data relating to machining of a workpiece during machining of the workpiece by a wire electric discharge machine; a preprocessing part configured to create, based on the data acquired by the data acquisition part, machining condition data, machining member data and machining state data, as state data indicating a state of the machining; and a machine learning device configured to execute, based on the state data created by the preprocessing part, processing relating to machine learning using a learning model indicating correlation between a machining state in the wire electric discharge machine and presence/absence of a possibility of disconnection occurrence of a wire electrode in the wire electric discharge machine and a disconnection cause by a plurality of class sets.

A tool management system of a machine tool capable of determining an appropriate time to replace a tool used by a machine tool is provided. The tool management system includes: at least one detection unit among: a vibration detection unit attached to a spindle that supports a tool of a machine tool to detect vibration; a sound detection unit provided in the vicinity of the spindle to detect acoustic waves produced during operation of the machine tool; and a servo motor current value detection unit that detects a current value of a servo motor of a driving device of the machine tool; a tool replacement determination unit that determines the necessity to replace the tool on the basis of information related to a detection value of at least one of the vibration, the acoustic waves, and the current value detected during operation of the machine tool; and a detection start/end command setting unit that adds commands for a detection start point and a detection end point of at least one of the vibration, the acoustic waves, and the current value of the servo motor to a machining program.

A tool attachment abnormality detection device acquires data associated with a machining center, performs pre-processing to create data regarding at least chronological data of a vibration or sound that has been generated in a tool change when a tool has been attached to a tool magazine, where the data is created based on the data that has been acquired, and detects an abnormality in attachment of the tool to the tool magazine based on the data created in the pre-processing stage.

An air tool monitoring apparatus includes a housing having a hollow chamber formed therein, and also having an inlet and an outlet formed therein, each of the inlet and an outlet in communication with the chamber. The apparatus also includes first and second sensors for sensing condition indicative of tool usage and wear, a battery disposed in the housing, a generator for recharging the battery, and a microprocessor operatively connected to the housing and including a timer, a memory storage module, and a unique identifier. The apparatus may include a baffle for guiding air past the generator. The apparatus further includes a switch for starting and stopping the timer, and a communication device for sending data from the microprocessor to a data collection device. Methods of using the apparatus, along with systems for monitoring and reporting on usage of multiple air tools equipped with the apparatus, are also described.

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 system and method for monitoring and predicting wear of a cutting tool used for machining a workpiece is disclosed. The system includes a cutting tool having a shank and a cutting head. The system also includes a split, modular and wireless wear detection system including one or more sensors mounted to the cutting tool for providing a data signal representative of a physical condition of the system, and a data recording and data transmitting device for recording the data signal from the one or more sensors and for generating and transmitting a data signal to a processor. The processor applies a machine learning data processing technique in real time to monitor and/or predict a condition of various components and/or parameters of the system during a metal cutting operation.

A tool state detection system and a method thereof are provided, for instantaneously analyzing a state of a tool by sensing influence of the tool on a machine spindle or working environment during execution of a process, without the need of extra time for detecting the tool, thereby effectively controlling the current quality status of the tool to improve the efficiency of the tool.

The example embodiments are directed to a system and method for determining the health of a cutting tool used in milling operations or the like. In one example, the method may include receiving operating characteristics of a cutting machine which are captured during an iteration of a cutting operation, generating a signature pattern associated with the cutting machine based on the operating characteristics, the signature pattern representing a unique pattern of the operating characteristics of the cutting machine during the cutting operation, determining health information of a cutting tool of the cutting machine based on the signature pattern and a benchmark signature pattern, and outputting the determined health information of the cutting tool for display on a display device. Accordingly, a cutting tool can be replaced at the optimum time thereby improving productivity and conserving cost.