Precitec Gmbh & Co. Kg

Precitec Vision Gmbh & Co. Kg

Precitec Kg

Joachim Schwarz

Rüdiger Moser

Stefan Birmanns

David Blázquez-Sánchez

Martin Halschka

Eric Supernok

Martin Krause

Fabian Mack

Fabian Agrawal

A system for monitoring a laser machining process for machining a workpiece includes a computing unit configured to determine an input tensor on the basis of current data of the laser machining process and to determine an output tensor on the basis of the input tensor using a transfer function. The output tensor contains information on a current machining result. The transfer function between the input tensor and the output tensor is formed by a trained neural network.

Monitoring a laser machining process using deep folding neural networks

A system for detecting machining errors for a laser machining system for machining a workpiece includes: a detection unit for detecting image data and height data of a machined workpiece surface; and a computing unit. The computing unit is designed to generate an input tensor based on the detected image data and height data and to determine an output tensor on the basis of the input tensor using a transfer function. The output tensor contains information on a machining error.

Detecting machining errors of a laser machining system using deep convolutional neural networks

A method for identifying joining positions of workpieces includes capturing images of a joint by a camera, determining measurement data for the joining positions associated with a course of the joint from the images of the joint, determining a mathematical model of the joint course from a part of the measurement data, providing a curve based on the mathematical model for positioning a welding laser during a laser welding process along the curve.

Method for identifying joining points of workpieces and laser machining head comprising a device for carrying out this method

A method for monitoring a joining seam, in particular during joining by a laser beam, wherein in the processing direction before a processing point a joining site is measured in order to detect the position and geometry thereof, at least one position of a joining seam is determined from the position of the joining point, and in the processing direction after the processing point the joining seam is measured in order to detect the geometry thereof at the determined position. A device is also provided for carrying out said method and to a laser processing head equipped with such a device.

Method and device for monitoring a joining seam during joining by means of a laser beam

An optical measuring device for monitoring a joint seam, joining head and laser welding head. The optical measuring device monitors a joining region in a workpiece and has at least one light-section device with a first light source for casting a light fan in the direction of the workpiece to be joined, making a triangulation light line within the joining region which intersects a joint seam. An illumination device with a second light source homogeneously illuminates the joining region. A first optical sensor with a first observation beam path for spatially resolved imaging of the triangulation light line is projected onto the joint seam. A second optical sensor with a second observation beam path for spatially resolved imaging of the joint seam is coaxially coupled with the first observation beam path. The readout rate of the first and second optical sensors is &#x3e;1 kHz and &#x3c;500 Hz, respectively.

Optical measuring device for monitoring a joint seam, joining head and laser welding head with same

A method for joining a workpiece by means of a welding head, in which at least one line of light is generated on a workpiece, which crosses a joint line at a site to be joined and a joint seam generated at a joined site after processing. The lines of light are imaged at the site to be joined and at the joined site in order to generate reference data relating to the geometry of the site to be joined and measurement data relating to the geometry of the joined sites. The reference data and the measurement data are then compared at one and the same workpiece site before and after processing, in order to determine the geometry of the joint seam independently of the geometry of the site to be joined.

Welding head and method for joining a workpiece

In laser welding, the welding area is depicted coaxially in relation to the laser beam () through the laser optics (), wherein not only a triangulation line and a grey or color image of the solidified weld is recorded but also the process radiation of the welding process. From these three image elements, an optimum quality assessment of the welding process and of the weld can be made.

Method and device for the optical assessment of welding quality during welding

For assessing the position and quality of joins a combined image of a join including a light line image and a grey value image is taken in the same sensor, but in two different regions of the sensor. The grey value image is evaluated to detect the quality of the join. This allows both the position and the quality of the join to be detected in a simple way.

Method and device for assessing joins of workpieces

A method and apparatus for detecting a joint between workpieces is provided. At least one light line is recorded by the light section method to detect the three-dimensional course of the joint and a grey-level image of the joint is also recorded. The grey-level image is evaluated to assess the quality of the joint.

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Kleinandelfingen, Switzerland

Joachim Schwarz