An intelligent detection cutting tool structure includes a cutting tool including a shank, a body and a detection device. The body is connected with the shank and has a cutting edge. The detection device is mounted on the shank and detects abnormal conditions during a working process of the cutting edge, and transmits a signal to a mobile device of an operator. Thus, when the cutting tool is mounted on the working machine to perform the working process, the detection device detects operation of the cutting tool during the working process and transmits the detected information to the mobile device, so that the operator can control the operating situation of the cutting tool, so as to calibrate, repair or replace the cutting tool according to the operating situation of the cutting tool.

A processing system includes a processing apparatus having functional units including a holding unit that holds a workpiece by a holding surface, a processing unit that processes the workpiece held by the holding unit, and a feed unit that moves the holding unit and the processing unit relatively. The processing system further includes a detecting unit that is provided for part or all of the functional units and detects any of vibration, current, voltage, load, speed, torque, pressure, temperature, flow rate, change in a taken image, and the thickness of the workpiece, and a data accumulating unit that accumulates information included in a signal output from the detecting unit as data.

A method for making safe the use of at least one hand-held power tool includes providing at least one item of safety information using at least one evaluation unit of an electronic safety device. The at least one item of safety information is based on at least one application-specific characteristic quantity. The electronic safety device is configured to be fastened to an extremity of a user using a fastening unit.

The present disclosure relates to a vibration damping system and a method for estimating a cutting force of a machine tool using the same, and according to the present disclosure, disclosed is technology including a housing; a stator rotatably positioned at an arbitrary angle in an internal space of the housing; a rotor positioned in a space inside the stator and rotating around an axis of rotation; a spindle rotating with the rotor; a first expander applying an attractive force that pulls the stator when the stator rotates; a second expander applying an attractive force in an opposite direction to the attractive force of the first expander; a first compressor applying a repulsive force that pushes the stator; and a second compressor; to suppress the generation of vibrations of the machine tool, thereby improving machining quality and machining accuracy of a structure.

A machine tool is configured so that: a first frequency band comprising the main shaft characteristic vibration frequency and a second frequency band comprising the mechanical structure characteristic vibration frequency are set; thresholds are stored for each of the set frequency bands; vibration components are extracted for each of the frequency bands from the output of a vibration sensor; and when the vibration amplitude exceeds a threshold in either of the frequency bands, an alarm is sounded.

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 machining system of the present invention includes a robot having a hand, a processing machine to rotate a machining tool, a control unit which controls the processing machine and the robot so as to rotate the machining tool and press a workpiece held by the hand against the machining tool to thereby machine the workpiece, and a force sensor which detects force acting between the workpiece and the machining tool when the workpiece is pressed against the machining tool by the robot and is machined by the machining tool. The control unit regulates the workpiece feed speed of the robot and the rotational speed of the machining tool so that the force value detected by the force sensor is between a predetermined upper threshold and a predetermined lower threshold.

Disclosed herein is a cutting apparatus having a cutting blade for cutting a workpiece held on a chuck table. The cutting apparatus includes an elastic wave detecting sensor for detecting an elastic wave due to the rotation of the cutting blade, a reference data storing section configured to store reference data as a set of reference processing elastic wave data detected in previously processing the workpiece and reference idling elastic wave data detected in the condition where the cutting blade is idling before processing, a threshold value storing section configured to store a threshold value set on the basis of the reference processing elastic wave data, a ratio calculating section configured to calculate the ratio of idling elastic wave data detected at the time just before actually processing the workpiece to the reference idling elastic wave data, and a determining section configured to divide processing elastic wave data detected during the actual processing by the ratio calculated by the ratio calculating section to thereby obtain a corrected value and then determine that the actual processing is abnormal when the corrected value is greater than the threshold value.

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.

A tool wear monitoring and predicting method is provided, and uses a hybrid dynamic neural network (HDNN) to build a tool wear prediction model. The tool wear prediction model adopts actual machining (cutting) conductions, sensing data detected at the current tool run of operation and the predicted tool wear value at the previous tool run of operation to predict a predicted tool wear value at the current tool run. A cyber physical agent (CPA) is adopted for simultaneously monitoring and predicting tool wear values of plural machines of the same machine type.