A tool notification system for determining tool usage information that would be otherwise unavailable or not easily discoverable by comparing information output by a tool and information obtained from a source. The tool notification system includes a tool operatively coupled to a sensor which may communicate information about the use, location, or other status of the tool to a processing system of the tool notification system. The processing system also receives the information from the source, which may include information about the parts supplied to the tool, the designated location of the tool, or other threshold parameters associated with supplying or using the tool. The processing system is configured to compare the information output from the tool and the information from the source and determine whether a condition is met for thereby sending a notification about tool usage.

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).

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.

A plasticizing device includes a drive motor, a screw that is rotated by the drive motor and that has a grooved face provided with a groove, a barrel that has an opposed face opposed to the grooved face and that is provided with a communication hole communicating with the groove at the opposed face, a first heating section that heats the material supplied to the groove, a temperature sensor that measures a temperature of the groove, and a control unit that controls the drive motor and the first heating section, wherein the control unit performs a first process for rotating the screw at a first rotation speed by controlling the drive motor, and a second process for rotating the screw at a second rotation speed higher than the first rotation speed by controlling the drive motor, and the control unit controls the first heating section so that a temperature measured by the temperature sensor falls within a predetermined range when performing the first process and the second process.

A three-dimensional shaping apparatus includes a plasticizing section that includes a drive motor, a heater, and a screw rotated by the drive motor and that plasticizes a material to form a shaping material, an ejection section that ejects the shaping material toward a stage, a moving mechanism section that changes a relative position of the ejection section to the stage, a prediction section that predicts a residual service life of the heater from an observation result of a state observation section that observes a state of the heater, and a control unit that controls the plasticizing section and the moving mechanism section to shape a three-dimensional shaped article. The control unit has a first mode in which a temperature of the heater is set to a first temperature and a second mode in which the temperature of the heater is set to a temperature lower than the first temperature, and shapes the three-dimensional shaped article in the first mode when a first residual service life when the temperature of the heater is set to the first temperature exceeds a first value, and shapes the three-dimensional shaped article in the second mode when the first residual service life is equal to or less than the first value.

A method for detecting and compensating CNC tools being implemented in an electronic device, receives from a detector first parameters and second parameters in respect of a first tool. Such first parameters include at least one of service life, blade break information, and blade chipping information of the first tool, and such second parameters include at least one of length extension information, length wear information, radial wear information, and blade thickness wear information of the first tool. Based on the first parameters, instructions to process the workpiece are transmitted or not. Upon receiving the second parameters, instructions to adjust operation of the first tool are transmitted, to compensate for deterioration in normal use.

An abnormality determination apparatus of the present invention acquires state data from work equipment provided with an attaching part to which a plural kinds of work parts are attached in a replaceable manner, identifies the kind of a work part attached to the attaching part, sets, corresponding to the identified kind of the work part, abnormality determination data for determining an abnormality of the work equipment, acquires, from among state data acquired from the work equipment, state data of a time when the identified kind of the work part was being attached, and compares the acquired state data with the set abnormality determination data to determine an abnormality of the work equipment.

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 for directly determining a theoretical damage of at least one component of a device includes providing load-specific reference data in an evaluation unit, sensing actual load-specific data by a load sensing system, and transmitting the actual, load-specific data to the evaluation unit. The actual load-specific data includes classified load collectives comprising a dwell time of occurring damage variables at defined load levels, a number of load changes of occurring damage variables, and an event count of occurring damage variables. The method further includes scaling the load-specific reference data to the actual load-specific data for calculating the theoretical damage of the at least one component and determining a remaining service life.

A method for directly determining a theoretical damage of at least one component of a device includes providing load-specific reference data in an evaluation unit, sensing actual load-specific data by a load sensing system, and transmitting the actual, load-specific data to the evaluation unit. The actual load-specific data includes classified load collectives comprising a dwell time of occurring damage variables at defined load levels, a number of load changes of occurring damage variables, and an event count of occurring damage variables. The method further includes scaling the load-specific reference data to the actual load-specific data for calculating the theoretical damage of the at least one component and determining a remaining service life.