A live tool system having a live tool and a collar surrounding a rotating shaft or a rotating cutting tool of the live tool. The collar houses at least one sensor capable of monitoring an operating condition proximate to the cutting tool during a cutting operation. Example operating conditions including temperature and vibration. The system also includes a wireless transmitter in communication with the at least one sensor for transmitting a signal for use by a machining center controller.

A spindle with intelligent auto-detection system may comprise a spindle, a shell configured for covering the spindle, a first conducting ring, a second conducting ring and at least a sensor. The spindle has a connecting section and a working section, and the connecting section is configured for connecting a power unit of a processing machine. Moreover, a tool is secured on the working section, and the sensor is positioned in an inner tube of the spindle. The first conducting ring and the second conducting ring in a recess of the shell are respectively electrically connected to the sensor and an analytical instrument. When the spindle is spinning, the sensor is adapted to measure various data of statuses of the spindle and the processing machine, and the obtained data is configured to be sent to the analytical instrument, thereby achieving monitoring effect.

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.

A method and system of a predictive maintenance IoT system comprises receiving a plurality of sensor data over a communications network and determining one or more clusters from the sensor data based on a pre-determined rule set. Further, the sensor data is classified through a machine learning engine and the sensor data is further base-lined through a combination of database architecture, data training architecture, and a base-lining algorithm. Intensity or degree of fault state is mapped to a fuel gauge to be depicted on a user interface and a predictive maintenance state is predicted through a regression model and appropriate alarm is raised for user action.

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.

A fixture for a thin-walled workpiece includes two clamping devices. Each of the clamping devices has a metal carrier and a damper. The metal carrier has a carrying portion and a supporting portion, where the supporting portion has a stair portion having a plane surface and a standing surface with a slope. The damper has a metal clamping portion and a damping portion. One end of the metal clamping portion is formed as an inclined surface. The damping portion has at least two elastic layers and at least one metal layer, which are laminated in an interlacing arrangement with the same slope of the inclined surface. One of the elastic layers is disposed to connect the inclined surface. The end of the metal clamping portion connecting the elastic layer is located on the stair portion, while the opposite end of the metal clamping portion protrudes out of the supporting portion.

In a machine tool, when machining is in a steady zone, a rotation phase of a main spindle at the time of measurement in the N-th sampling is calculated, and the calculated rotation phase and the measurement value are recorded in a recording section so as to be associated with each other. The measurement and calculation of the rotation phase of the main spindle at the time of each measurement are continued for plural times of rotations of the main spindle, and thus the measurement values are obtained at various rotation phases, whereby change in drive force during one rotation of the main spindle is finally calculated.

A spindle vibration measuring system which measures vibration of a spindle in a machining device that performs a cutting or abrading process on a workpiece. The machining device has a workpiece holder that holds the workpiece, the spindle that holds a tool, and a moving mechanism that relatively moves the workpiece holder and the spindle. The spindle vibration measuring system acquires positional variation data or vibration data of the moving mechanism when the spindle rotates, and a result related to vibration of the spindle to output or store based on the positional variation data or the vibration data.

A magnetically attachable sensor assembly for sensing cutting tool operation. The magnetically attachable sensor assembly comprises an acoustic and vibration sensing apparatus, or sensor package, disposed in a housing having a portable, magnetic form factor for portability and easy clamping/attachment to a number of different surfaces.

A live tool system having a live tool and a collar surrounding a rotating shaft or a rotating cutting tool of the live tool. The collar houses at least one sensor capable of monitoring an operating condition proximate to the cutting tool during a cutting operation. Example operating conditions including temperature and vibration. The system also includes a wireless transmitter in communication with the at least one sensor for transmitting a signal for use by a machining center controller.