4.7 Article

Scan path strategy for laser processing of fragmented geometries

Journal

OPTICS AND LASERS IN ENGINEERING
Volume 138, Issue -, Pages -

Publisher

ELSEVIER SCI LTD
DOI: 10.1016/j.optlaseng.2020.106412

Keywords

Galvanometer scanner; Scan path optimization; Laser ablation; Additive manufacturing; Radon transform

Categories

Ask authors/readers for more resources

A new scan path strategy is proposed to reduce the laser processing time of fragmented geometries by identifying optimized parallel scan lines using the Radon transform and chopping them into mark and jump vectors for precise processing. Experimental results show a reduction in processing time of up to 57% compared to conventional scanning methods, indicating the new strategy is a promising approach for improving productivity in areal laser processing applications.
A new scan path strategy is presented to reduce the duration of laser processing of geometries consisting of scattered, unconnected processing areas of a small size. We refer to these as fragmented geometries. The novelty of this strategy is to first identify optimized parallel scan lines for the overall shape using the Radon transform, which provides information about the most productive scan line orientations. The lines are then chopped into mark and jump vectors exploiting fast laser power modulation to precisely process the fragmented structure. An experimental study was conducted with a galvanometer scanner and a set of exemplary geometries comparing the proposed strategy with conventional raster scanning and a fill strategy. The results show a reduction in processing time with the new algorithm of up to 57% depending on the geometry. This finding indicates, that the new strategy is a promising approach for improvement of productivity for areal laser processing applications.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.7
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available