The wear status of a micro-endmill tool may be inferred by monitoring the chip production rate of the tool in operation. Chips may be extracted from a work area, captured on an adhesive surface, imaged, and counted to determine the chip production rate. When the rate of chip production falls, the feed rate of the micro-endmill may be modified to a level suitable for the current state of tool wear. In this manner, costly and inconvenient work stoppages to evaluate the wear status of a tool are eliminated.

An apparatus includes: a first unit that predicts, with use of a trained model, an amount of wear of a cutting tool in accordance with a processing time; and a display that displays information which is based on a result of prediction, in which a trained model is generated by performing machine learning with training data using a dataset that includes: information which pertain to a cutting tool, a condition which concerns cutting, and information which pertain to a workpiece; and a processing time for which a cutting tool was used, the amount of wear of the cutting tool which is due to processing, an initial wear time which is from the start of cutting by the cutting tool until the completion of initial wear, and an initial wear amount which indicates the amount of wear of the cutting tool when the initial wear time has elapsed.

An analysis device according to the present disclosure analyzes the state of a machining tool. The analysis device includes: an acquisition unit that acquires a measurement result from at least one sensor fitted to the machining tool; a computation unit that performs data processing to the measurement result acquired by the acquisition unit; and an image processing unit that displays a first image and a second image on a display screen, the first image displaying the measurement result acquired by the acquisition unit in time-series, the second image displaying a computation result after the data processing is performed by the computation unit. The image processing unit displays, as the second image, the computation result corresponding to the measurement result for a specific time period in the first image.

A computer implemented method of modelling the degradation of at least a component within an abrasive environment, the method comprising: obtaining a 3D scan of a surface of a component, processing the surface images of the component, determining the surface properties, inputting the data into a trained prediction model, predicting the performance of the component, and simulating the surface evolution over time or use of the component.

The present disclosure relates to system for shearing material. The system can include a machine including a tool that rotates around an axis at a speed of rotation (f.sub.ROT) for shearing a raw material workpiece; wherein said tool[has at least one tool edge can engage the raw material workpiece; a vibration sensor can generate an analogue measurement signal (S.sub.EA) dependent on mechanical vibrations (V.sub.IMP) emanating from rotation of said tool; a position sensor can generate a position signal indicative of a rotational position of said rotating tool; and status parameter extractor.