Process time optimization of robotic remote laser cutting by utilizing customized beam patterns and redundancy space task sequencing

Sigurd Villumsen

Research output: PhD thesis

560 Downloads (Pure)

Abstract

This dissertation is written as a part of the ROBOCUT project which concerns the development of a new laser cutting technology that seeks to increase the performance of traditional and remote laser cutting by using beam shaping technologies. The resulting customized beam patterns are obtained by using a diffractive optical element (DOE).
The main work of this dissertation falls within three areas of focus.
The first area of focus covers the development of a flexible laser processing laboratory for DOE cutting. A laboratory was created with a single mode fiber laser used for DOE cutting and an industrial robot and XY table for positioning the laser beam.
The second area of focus covers the establishment of a benchmark with which the performance of the ROBOCUT technology could be evaluated. It was chosen to use remote fusion cutting as a benchmark for this evaluation. It was shown through several experimental series that ROBOCUT cutting performed significantly better when concerning stability than RFC.
The third and final area of focus concerns the development of a framework for task sequencing and path planning for remote laser processing. The developed framework was based on sampling the redundant axes of the laser cutting system and transforming the sequencing problem into a generalized traveling salesman problem (GTSP).
Original languageEnglish
Publisher
Electronic ISBNs978-87-7112-539-9
DOIs
Publication statusPublished - 2016

Cite this