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.

A system and a method for machine tool maintenance and repair is provided for allowing an expert at a remote site to collaborate with an on-site personnel to maintain or repair a physical machine in a manner of combining the physical machine with a virtual reality (VR) model or an augmented reality (AR) model. Two maintenance modes are provided, which are an augmented virtual reality model guided by a standard operation procedure (referred as a SOP-AVR mode), and an augmented virtual reality model guided by an expert operation procedure (referred as an EG-AVR mode). A cyber physical agent (CPA) is adopted for simultaneously monitoring and repairing plural machines of the same machine type.

An automated constructing method of cloud manufacturing service is provided for a distributed system including a virtual machine and a service manager. The method includes: obtaining a library package which is locally built, analyzing the library package to obtain key information, and generating a library information file; automatically generating a project source code file according to the library information file, and generating a web service package according to the project source code file; and deploying, by the service manager, the web service package on the virtual machine.

This tool exchange device for a machine tool uses an exchange arm to exchange tools between a processing area and a tool accommodation area. In the tool exchange device, an imaging device is used to capture an image of a tool in the tool accommodation area, operation parameters for the exchange arm when the exchange arm is used to exchange the tools are determined from the captured image of the tool, and the exchange arm is operated on the basis of the operation parameters to exchange the tool.

An accumulated wear amount calculation section calculates a wear amount of a blade edge of a punch and a wear amount of a blade edge of a die when a tool set of the punch and the die has processed a sheet metal once. The accumulated wear amount calculation section calculates an accumulated wear amount of the blade edge of the punch and an accumulated wear amount of the blade edge of the die by accumulating wear amounts of respective times when the tool set has processed the sheet metal multiple times. A tool management information managing section manages a state of the blade edge of each punch and each die by causing a tool management information storage section to store tool management information associating a tool identification code given to each punch and each die with the accumulated wear amounts calculated by the accumulated wear amount calculation section.

A cutting machine includes a monitoring unit that monitors a cutting edge of a cutting blade. The monitoring unit includes an imaging unit that images the cutting edge of the cutting blade, a pulse light source that emits a pulse light to illuminate an imaging zone imaged by the imaging unit, and a camera that captures an image outputted from the imaging unit. The imaging unit includes a first imaging unit that images one side surface of the cutting edge of the cutting blade, a second imaging unit that images an opposite side surface of the cutting edge, and a third imaging unit that images an outer peripheral edge portion of the cutting edge.

The application relates to a method for the automatic determination of the geometrical dimensions of a tool having a machining region in worm thread form, in particular of a grinding worm, in a gear cutting machine, wherein at least one parameter of the tool is automatically detected and/or determined by means of at least one sensor.

An arrangement for use in forming a can body, the arrangement including a forming die structured to form a portion of the can body, the forming die having a portion comprising a photoluminescent material.

A contactlessly or tactilely measuring measuring system having a multipurpose interface socket for accommodating and for connecting a contactlessly or tactilely measuring measuring device having a light transmitter and a light receiver, for determining the position of a tool or for determining the longest cutting edge of a rotating tool in a machine tool. The multipurpose interface socket has the following features: at least one mechanical stop, corresponding to a counterstop on the measuring device, for accommodating and repeatably placing the measuring device on the multipurpose interface socket; and at least one second fluid transfer point on the multipurpose interface socket, which corresponds to a first fluid transfer point on the measuring device.

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.