G05B2219/49066

METHOD OF COATING AN EYEGLASS LENS

The invention relates to a method for coating eyeglass lenses, in particular for coating the edge of eyeglass lenses by means of a needle metering device or jet metering device, wherein the eyeglass lens and the metering device are moved relative to one another and at the same time a coating material is applied to the eyeglass lens, in particular to the edge thereof, from the metering device. The control data for controlling the movement of the eyeglass lens and/or of the metering device are determined before and/or during the application process on the basis of geometric data of the metering device and geometry data of the eyeglass lens surface to be coated, said geometry data of the eyeglass lens surface to be coated being measured or being drawn from a data store.

METHOD FOR MACHINING A METAL PANEL USING AN AUTOMATED MECHANICAL MACHINING SYSTEM

An automated mechanical machining system for machining a metal panel comprising a first face and a second face which is on the opposite side from the first face, the automated mechanical machining system comprising at least one machining tool, at least one holding tool, a control module configured to control the machining tool and the holding tool in a coordinated manner, a matching module configured to determine simple actual machining paths TRAJr1 from, on the one hand, predetermined simple theoretical machining paths TRAJt1 and, on the other hand, measurement of the actual surface SURFr of the second face and a slope management module configured to determine sloping actual machining paths TRAJr2 from sloping theoretical machining paths TRAJt2, the simple theoretical machining paths TRAJt1 and the simple actual machining paths TRAJr1.

OPTIMISATION OF NUMERIC CONTROL OF A MACHINE TOOL
20250181054 · 2025-06-05 ·

A computer-implemented method for optimizing a numerical control of a machine tool having a tool for machining a workpiece may include obtaining numerical tool information with respect to a machining. The method may further include acquiring, by a trained neural network, timing information based on the obtained tool information and generating a set of path information for machining from the timing information and the tool information. The set of path information may include a travel path of the tool, which may include an approach, tool entry, working, and tool exit phase, and a distance between the tool and the workpiece before the approach phase. The method may include determining a minimum distance between the tool and the workpiece before the approach phase from a plurality of sets of path information of a plurality of previous machinings for a next machining.