A method for recognition and compensation of an offset measure between stamping coordinates of a stamping device and laser coordinates of a laser device in a combined stamping-laser machine for processing a plate-shaped workpiece, particularly a metal sheet, includes introducing a structure into the plate-shaped workpiece by respectively using the stamping device or the laser device. A measurement variable of the introduced structure is determined respectively by the laser device or the stamping device. The measurement variable is compared with an expected variable, and a deviation of the measurement variable from the expected variable corresponds to an offset measure. The offset measure is balanced with the coordinates of the laser device in the laser coordinate system or with the coordinates of the stamping device in the stamping coordinate system in order to compensate for the offset measure between the stamping coordinates and the laser coordinates.

A tool path generation method includes inputting a first function derived from a polynomial expression including a plurality of coefficients representing a first curved surface, generating a first tool path based on the first function, inputting the first tool path to an NC device of a machine tool and machining a workpiece by relative movement between a tool and a workpiece along the first tool path, measuring the shape of the workpiece at a plurality of measurement points on a surface of the machined workpiece, calculating, for each of the measurement points, a symmetrical position with respect to the first curved surface in a direction perpendicular to the first curved surface as a correction point, obtaining a second function representing a second curved surface based on a series of position data of the correction points, and generating a second tool path based on the second function.

In at least one embodiment, a method of analyzing and characterizing the thermal growth of a CNC machine is provided. The method may include mounting an artifact having a bore onto a CNC machine and performing a test cycle. The test cycle may include probing the bore of the artifact to determine its location relative to the CNC machine and performing a dry cycle including one or more CNC machining processes. The method may further include calculating a deviation of the bore location from a reference relative location between the bore and CNC machine. The method may be used to improve, troubleshoot, or assess the effectiveness of CNC machine thermal compensation mechanisms. The method may start at ambient temperature and include repeating test cycles until a steady state temperature is reached in the machine.

A method for operating a press, wherein a relationship between a detected component property (current value) of the final product (e.g. surface quality), the provided material property of the semi-finished product (e.g. sheet thickness), and the detected production parameter (e.g. pressing pressure) is determined, for example, by a self-learning algorithm, on the basis of precedingly determined differential values between target and current values of the component property. The algorithm is subsequently used for targeted selection of samples for quality monitoring.

Embodiments of the present invention exemplarily described herein relate generally to saving XYZ stage coordinates for intended laser locations as well as a kernel image of an ablation pattern placed during a scan placement process, and comparing the kernel image to a current image of the current field of view of a camera/microscope that includes the location a laser would be fired at. This comparison is used during an experimental run to correct for any built up error. More particularly, embodiments of the present invention relate to apparatuses and methods for software based image recognition to correct errors in open looped systems for positioning a sample relative to a laser in analysis systems for zircon crystal grain dating.

Method for machining articles by means of a numerical-control machine tool (1) with at least one tool (2) mounted on a rotating spindle (4) and movement means (6), comprising a step i) of carrying out test machining operations on test articles using predetermined operating conditions, a step ii) of detecting at least first values relating to operating parameters of the tool (2) and/or spindle (4) and/or movement means (6) and at least second values relating to the amplitude and the frequency of the vibrations and/or the loads acting on the machine (1), a step iii) of analysing and processing the operating conditions of the first and second values to obtain optimized reference values of the operating parameters, and a step iv) of carrying out one or more machining operations on an article based on the optimized reference values. The step iii) of analysing and processing the operating conditions and the first and second values is performed by means of a process for training a software based on at least one artificial intelligence algorithm. The present invention also relates to a machine tool (1) for machining the articles.