The invention relates to a method for producing or machining a toothing (2) on a workpiece (3), in which method the workpiece, which is rotationally driven about its axis of rotation (C), is brought into rolling machining engagement with tool toothing (5) rotating about an axis of rotation (C2) which is, in particular, at a non-null crossed-axes angle to the axis of rotation of the workpiece, wherein the machining operation is automatically monitored, using sensors to record same automatically, already at the machine operation stage for a recurring irregularity originating from tool wear (52), in particular higher wear of at least one tool tooth (51) compared to other tool teeth.

A method for automatic process monitoring during continuous generating grinding of pre-toothed workpieces, which permit early detection of grinding wheel breakouts. A generating grinding machine is used to machine multiple workpieces by clamping them onto at least one workpiece spindle and successively moving them into generating engagement with a grinding wheel. At least one measured variable is monitored during the machining to indicate if a grinding wheel breakout exists. If a grinding wheel breakout is indicated, the grinding wheel is examined automatically by moving a dressing tool over the tip region of the grinding wheel and generating a contact signal. A breakout is determined by analyzing the contact signal and, if present, the grinding wheel is dressed as often as necessary in order to eliminate the grinding wheel breakout. Alternatively, the checking of the grinding wheel is carried out directly at the first dressing stroke.

The invention provides a machining system (201) comprising: a machining apparatus (202), notably an abrasive waterjet cutting system (203), said machining apparatus being adapted for machining a workpiece (204); a monitoring device (228) adapted for monitoring machining conditions of the machining apparatus (202) and/or of the workpiece, the monitoring device comprising a plurality of sensors, said plurality of sensors comprising a first sensor (237) at a first location and a second sensor (239) at a second location which is distant from the first location. The plurality of sensors comprises a fourth sensor (243) which is formed by an array of microphones (254) arranged on a grid. The plurality of sensors comprises accelerometers, strain gauges and microphones. The invention also provides a monitoring method of a machining system (201) wherein a specific benchmark signature is chosen from a library.

A testing device that includes a wear testing device, a sensor array, and a controller. The wear testing device includes a sample rotation element configured to hold and to rotate a sample; and a cutting element holder configured to hold a cutting element and to engage the cutting element with the sample as the sample rotates. The sensor array includes an acoustic emissions (AE) sensor configured to measure an acoustic signal generated during engagement between the cutting element and the sample; and a load sensor. The controller is communicably connected to the sensor array and configured to determine a toughness and a wear resistance of the cutting element using the acoustic signal, the applied load, and a wear state of the cutting element.

A rotating tool according to an aspect of the present disclosure is a rotating tool used in a state held by a tool holder, and the rotating tool includes a shaft portion having an end attached to the tool holder, a blade attaching portion or a blade portion provided at an end of the shaft portion opposite to the end, and a plurality of sensors attached to the shaft portion, and the plurality of sensors include an acceleration sensor and a strain sensor.

The present invention concerns a method and a system for detecting malfunctions in an apparatus and/or defects in a workpiece processed by said apparatus. The method provides for acquiring a sound signal emitted by an apparatus during an operation cycle of the same, then comparing the sound signal with a plurality of audio tracks stored in a memory area for determining a malfunction of the apparatus and/or a defectiveness of the workpiece processed by the apparatus based on the result of said comparison. The operation cycle is subdivided into a plurality of work phases and during the acquisition of the sound signal a work phase of said plurality of work phases is identified. Each audio track of the plurality of stored audio tracks comprises an audio component relating to acquired sound signals, and additional information data comprising at least one identifier of the work phase executed by the apparatus during the acquisition of the sound signals of the audio component. The plurality of audio tracks used for the comparison with the sound signal is a group of audio tracks of the plurality of audio tracks whose identifier of the work phase of the apparatus corresponds to the identified work phase. The identification data of the audio tracks additionally comprise at least one identifier of a plurality of components activated during the phase to which the audio component refers, and it is further provided for a) identifying a plurality of components activated during the identified work phase, b) on the basis of the plurality of activated components, identifying a set of comparison phases among the plurality of phases of the operation cycle, and c) identifying as defective at least one component between the plurality of components activated during the work phase and/or the workpiece, on the basis of the audio tracks relating to the set of comparison phases identified and/or on the basis of sound signals acquired during the identified comparison phases.

A testing device that includes a wear testing device, a sensor array, and a controller. The wear testing device includes a sample rotation element configured to hold and to rotate a sample; and a cutting element holder configured to hold a cutting element and to engage the cutting element with the sample as the sample rotates. The sensor array includes an acoustic emissions (AE) sensor configured to measure an acoustic signal generated during engagement between the cutting element and the sample; and a load sensor. The controller is communicably connected to the sensor array and configured to determine a toughness and a wear resistance of the cutting element using the acoustic signal, the applied load, and a wear state of the cutting element.

The invention provides a machining system (201) comprising: a machining apparatus (202), notably an abrasive waterjet cutting system (203), said machining apparatus being adapted for machining a workpiece (204); a monitoring device (228) adapted for monitoring machining conditions of the machining apparatus (202) and/or of the workpiece, the monitoring device comprising a plurality of sensors, said plurality of sensors comprising a first sensor (237) at a first location and a second sensor (239) at a second location which is distant from the first location. The plurality of sensors comprises a fourth sensor (243) which is formed by an array of microphones (254) arranged on a grid. The plurality of sensors comprises accelerometers, strain gauges and microphones. The invention also provides a monitoring method of a machining system (201) wherein a specific benchmark signature is chosen from a library.

An intelligent tungsten carbide cutter may include a shank, at least a cutting portion, and a sensor. The shank made of tungsten steel comprises a first end, a second end, and at least a first connecting portion, and the first connecting portion is located adjacent to the second end of the shank. The shank and the cutting portion are thermally connected through high frequency oscillation heating method, and the cutting portion is secured on the first connecting portion of the shank. An accommodating channel axially penetrates through a center portion of the first end of the shank and extends toward the second end, and the sensor is installed in the accommodating channel so as to be positioned close to the cutting portion, thereby achieving the direct and accurate sensing.

A power tool includes a control for the motor of the power tool that senses an operating characteristic of the motor and controls the operation of the power tool based on the sensed characteristic. The sensed characteristic includes variations in reluctance of the motor. A controller may sense changes on load on the motor as a result of interaction between a working element such as a saw blade or drill bit and the work piece. The controlled operation may include variation in speed or torque or both, or may include stopping the motor. Emergency conditions may be sensed by changes in reluctance.