A machine tool machining dimensions prediction device (100) includes: a data collector (10) to acquire driving state information of a machine tool; a feature amount extractor (211) to extract a feature amount from the driving state information; a data analyzer (311) to analyze the extracted feature amount; and a machining quality prediction model generator (312) to generate, from the analyzed information, a prediction model of a machining dimension of a workpiece. The machine tool machining dimensions prediction device (100) applies the feature amount and the driving state information to the prediction model during machining of the workpiece to predict a machining quality and refers to a machining dimension quality regulation to determine whether the machining quality satisfies a standard.

A method is provided for monitoring a milling method for a milling machine provided with a milling tool comprising cutting teeth, the method including: determining measured values of a first parameter corresponding to a bending of the milling tool as a function of a second parameter corresponding to an angle of rotation of the milling tool in a rotating frame of reference of the milling tool and analyzing the measured values as a function of at least one monitoring criterion.

A processing system that successively processes a plurality of workpieces includes: a tool that processes each of the workpieces; a motor that rotates the tool or each of the workpieces; a control unit that controls the motor; and a measurement unit that obtains an electrical quantity of the motor, where the control unit includes a first control unit that controls a rotational speed of the motor based on a first difference between a first electrical quantity and a second electrical quantity, the first electrical quantity is an electrical quantity obtained by the measurement unit at a specific processed portion of a first workpiece currently being processed, the second electrical quantity is an electrical quantity obtained by the measurement unit during processing of a portion of a second workpiece corresponding to the specific processed portion, and the second workpiece is a workpiece that was processed prior to the first workpiece.

A system, method and computer program product arranged for managing the operation of a machine and tracing the use of a cutting edge of a cutting tool used in the operation of the machine. The method includes the steps of reading an identification marker of a cutting edge of a cutting tool inserted into the machine, decoding the identification marker to determine a cutting edge information data associated with the cutting edge, obtaining machine operation data associated with the operation of the machine from the machine, and generating a first association data indicative of the cutting edge information data and the machine operation data.

A machine tool configured to attach multiple tools to a turret is provided to improve the efficiency of a tool exchanging operation and, thus, also the production efficiency. A control device determines whether an expired tool, which is a tool needs to be exchanged, is present among the tools held by the turret. The control device sets a tool exchanging position, which is a position within the movable range of a head section and is a position where the expired tool is exchanged with a new tool. If the control device determines that an expired tool is present, the control device causes a head section driving device to move the head and rotate the turret to position the expired tool at the tool exchanging position.

A tool replacement timing management system includes a data acquisition section configured to acquire time series data indicating a machining state from a machine, a data cutout section configured to cut out specimen data from the time series data according to at least one condition or a combination of conditions selected from among machining, a tool, a workpiece, and a tool speed, a machining state variable calculating section configured to calculate a machining state variable, which is a statistical index, from the specimen data, a tool deterioration state generation section configured to generate tool deterioration state data in which the machining state variable is aligned in a time series, and a tool replacement timing calculating section configured to calculate a tool replacement timing on a basis of the tool deterioration state data.

A method includes measuring raw sensor information of a tool over a period of time with a sensor tag coupled to an external surface of the tool. The method also includes determining one or more events of the tool based on the raw sensor information and calculating an aggregate time for each type of event from the one or more events determined over the period of time. The method also includes wirelessly transmitting a history of the one or more events from the sensor tag to a remote computing device. The history comprises the aggregate time for each type of event from the one or more types of events over the period of time.

Automatic system (1) for inspecting one cutting edge (2, 2′) of a ring shaped blade (3), wherein the ring shaped blade (3) is configured to be used in a plant for cutting one sheet of metallic material and extends around a central symmetry axis (y-y), the system (1) comprising: one supporting and moving group (4) rotatably mounted around one rotation axis (x-x) and configured to support the ring shaped blade (3) between at least one parking position and at least one reading position and for putting it in rotation around the rotation axis (x-x), wherein when the ring shaped blade (3) is supported in the at least one reading position, the rotation axis (x-x) is coincident with the central symmetry axis (y-y) of the ring shaped blade (3); one first emitting group (7), configured to emit at least one first inspection light beam (71) toward the supporting and moving group (4) and toward the cutting edge (2, 2′) of the ring shaped blade (3), when the blade is supported by the supporting and moving group (4); one second emitting group (8), configured to emit at least one second inspection light beam (81) toward the cutting edge (2, 2′) of the ring shaped blade (3); one first detecting group (9), configured to detect a first light beam reflected from the ring shaped blade (3), and one second detecting group (9′), configured to detect a second light beam reflected from the ring shaped blade (3), the first detecting group (9) and the second detecting group (9′) being both positioned at the supporting and moving group (4) and configured to detect the first light beam and second light beam reflected from the ring shaped blade (3), respectively, and output at least one respective detection signal (911, 912); one control and processing unit, configured to receive in input and process the at least one detection signal (911, 912), and output at least one quality index (I) of the cutting edge (2, 2′) of the ring shaped blade (3).

The present invention belongs to the field of automation equipment predictive maintenance, and relates to a method for diagnosing health of a CNC machine tool. Parameters such as vibration and temperature are detected by Zigbee nodes adopted in the present invention and uploaded to a Zigbee gateway. The detected data is transmitted by the Zigbee gateway to a cloud server for digital signal processing, data mining and analysis processing. After a training test of the above data is carried out by the cloud server, a health degree model is obtained. The health degree model is transmitted by the cloud server to the Zigbee gateway. A clock circuit can be used for synchronizing system time and recording time as data is recorded. For the on-line predictive maintenance of a CNC machine tool, the most rapid and accurate predictive maintenance information is provided.

A method, system and computer-usable medium are disclosed for monitoring and controlling a machining process of parts. Data as to dimensions of produced parts are gathered during a production process. The parts are produced based on part control plan. The data of the dimensions are plotted as to statistical information related to a distribution curve. Determination is made if a trend in the dimensional data approaches an upper control limit and a lower control limit. Corrective action is taken if the trend approaches either the upper control limit or the lower control limit.