A method for monitoring the machine geometry of at least one gear cutting machine (10), having the following steps: a) measuring a workpiece in a measuring device (20) in order to determine actual data, wherein a workpiece is concerned which was previously machined in the machine (10) on the basis of specification data (VD, ΔVD, MD, ΔMD); b) correlating the actual data with the specification data (VD, ΔVD, MD, ΔMD) in order to thus determine the deviation of a geometric setting of at least one axis of the machine (10); c) storing the deviation of the geometric setting; d) repeating the steps a)-c) after the machining of further workpieces in the machine (10); e) performing a statistical evaluation of several of the stored deviations in order to determine a geometric change in the axis of the machine (10) by considering a predetermined condition and/or rule.

Disclosed is a machining method by turning at least one surface of an ophthalmic lens, using a turning machine having at least one geometrical defect. The method includes a step (101-104) of determining a turning configuration for machining by turning the at least one surface of the ophthalmic lens, the turning configuration including turning parameters and machine defects parameters associated to the turning parameters.

Disclosed is a method for deducing geometrical defects of an optical article turning machine, including a defect value deducing step, during which at least one geometrical defect value is deduced based at least on an indicative information of an optical and/or geometrical data related to an optical and/or geometrical characteristic of a checking piece (10).

A method that corrects an error in positioning in a positioning mechanism by using a measurable length value measured by a laser interferometer and a measured value for spatial coordinates measured by the positioning mechanism. The method includes a measurement step in which a retroreflector affixed to a displacer is displaced to a plurality of measurement points, and the measured length value and the measured value at each of the measurement points is acquired; and a parameter calculation step in which a correction parameter is calculated based on the measured value, the measured length value, and the coordinates of a rotation center of the tracking-type laser interferometer. A first correction constant is applied to the measured length value for each measurement line, and a second correction constant different from the first correction constant is applied to the coordinates of the rotation center of the interferometer for each measurement line.

A spatial accuracy correction apparatus performs a spatial accuracy correction of a positioner displacing a displacer to a predetermined set of spatial coordinates using a measurable length value measured by an interferometer and a measurable value of the set of spatial coordinates of the displacement body that is measured by the positioner. The measured length value and the measured value for each measurement point are acquired by displacing the displacement body to a plurality of measurement points in order, one or more repeated measurements are conducted for at least one of the plurality of measurement points being measured after conducting measurement of the measured length value and the measured value for each of the plurality of measurement points, and the plurality of points are measured again when a repeat error of the measured length value is equal to or greater than a threshold value.

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 prediction method of part surface roughness and tool wear based on multi-task learning belong to the file of machining technology. Firstly, the vibration signals in the machining process are collected; next, the part surface roughness and tool wear are measured, and the measured results are corresponding to the vibration signals respectively; secondly, the samples are expanded, the features are extracted and normalized; then, a multi-task prediction model based on deep belief networks (DBN) is constructed, and the part surface roughness and tool wear are taken as the output of the model, and the features are extracted as the input to establish the multi-task DBN prediction model; finally, the vibration signals are input into the multi-task prediction model to predict the surface roughness and tool wear.

A prediction method of part surface roughness and tool wear based on multi-task learning belong to the file of machining technology. Firstly, the vibration signals in the machining process are collected; next, the part surface roughness and tool wear are measured, and the measured results are corresponding to the vibration signals respectively; secondly, the samples are expanded, the features are extracted and normalized; then, a multi-task prediction model based on deep belief networks (DBN) is constructed, and the part surface roughness and tool wear are taken as the output of the model, and the features are extracted as the input to establish the multi-task DBN prediction model; finally, the vibration signals are input into the multi-task prediction model to predict the surface roughness and tool wear.

In a method for determining a deviation of a spatial orientation of a beam axis (S) of a beam processing machine from a spatial nominal orientation (S0) of the beam axis (S), contour sections (KA1, KB2) are cut with a processing beam into a test workpiece from two sides of the workpiece. The contour sections (KA1, KB2) extend parallel to a nominal orientation of a rotation axis (B, C), where the rotation axis is to be calibrated. The contour sections (KA1, KA2) are probed from one side of the test workpiece by a measuring device for determining the spatial position of the contour sections (KA1, KB1). Deviation of the spatial orientation of the beam axis (S) of the beam processing machine from the spatial nominal orientation (S0) is determined based on the spatial positions of the contour sections (KA1, KB1).

According to one example, a CNC machine tool system may perform error compensation for improving the accuracy of the geometry (or form) of a machined workpiece to, for example, better than 2 micrometers. To do so, a first machined workpiece may be created using the CNC machine tool system. The CNC machine tool system may create the machined workpiece by jig grinding. Following the creation of the first machined workpiece, metrology of the workpiece error may then be performed on the machined workpiece. The metrology of the workpiece error may be used to create a corrected toolpath trajectory for re-machining. This corrected toolpath trajectory may then be utilized by the CNC machine tool system to machine a second machined workpiece having a geometry (or form) with an accuracy of, for example, better than 2 micrometers.