Measuring the supporting slats of laser cutting machines using laser triangulation

Author:

Struckmeier Frederick,Zhao Jim,León Fernando Puente

Abstract

AbstractWhen automatically generating programs for flatbed laser cutting machines, it is advantageous to know the position of the supporting tips of the raw material. This allows the nesting layout and tool path to be adapted in an intelligent way. The problem of measuring the supporting tips of a laser cutting machine has not been considered in published literature before. We introduce possible methods first and choose a laser triangulation system. A novel setup, where none of the components is at a right angle to the measured surface, is proposed to account for the circumstances in a laser cutting machine. Its performance is investigated thoroughly with special regard to robustness and accuracy. In order to achieve very high accuracies, the setup is extrinsically calibrated on the measured object and different line extraction algorithms are tested for their effect on the measurement result. It is shown that the measurement setup is robust for different changes in the environment, such as different slat materials, bent supporting tips, and slagging. The measurement accuracy of the setup is calculated to be within ± 0.8 mm.

Publisher

Springer Science and Business Media LLC

Subject

Industrial and Manufacturing Engineering,Computer Science Applications,Mechanical Engineering,Software,Control and Systems Engineering

Reference37 articles.

1. Bader R (2017) Method for controlling a jet/beam cutting device having a cutting tool, a computer-implemented method for the automatic determination and generation of movement commands for controlling a cutting tool of a jet/beam cutting device, and jet/beam cutting device for carrying out said method. Patent WO2018224697A1

2. Bailey DG (2002) A new approach to lens distortion correction. Proceedings Image and Vision Computing New Zealand, pp 59–64

3. Beyerer J, Puente León F, Frese C (2016) Machine vision: Automated visual inspection: theory, practice and applications. Springer Berlin, Heidelberg

4. Blais F, Rioux M (1986) Real-time numerical peak detector. Signal Process 11(2):145–155

5. Bradski G (2000) The OpenCV Library. Dr Dobb’s Journal of Software Tools

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