Open AccessMulti-view fringe projection system for surface topography measurement during metal powder bed fusion
Author(s) -
Andrew Dickins,
Taufiq Widjanarko,
Danny Sims-Waterhouse,
Adam Thompson,
Simon Lawes,
Nicola Senin,
Richard Leach
Publication year - 2020
Publication title -
journal of the optical society of america. a, optics, image science, and vision./journal of the optical society of america. a, online
Language(s) - English
Resource type - Journals
eISSN - 1520-8532
pISSN - 1084-7529
DOI - 10.1364/josaa.396186
Subject(s) - projection (relational algebra) , structured light 3d scanner , computer science , fusion , process (computing) , computer vision , optics , point (geometry) , system of measurement , artificial intelligence , surface (topology) , algorithm , mathematics , physics , geometry , linguistics , philosophy , scanner , astronomy , operating system
Metal powder bed fusion (PBF) methods need in-process measurement methods to increase user confidence and encourage further adoption in high-value manufacturing sectors. In this paper, a novel measurement method for PBF systems is proposed that uses multi-view fringe projection to acquire high-resolution surface topography information of the powder bed. Measurements were made using a mock-up of a commercial PBF system to assess the system's accuracy and precision in comparison to conventional single-view fringe projection techniques for the same application. Results show that the multi-view system is more accurate, but less precise, than single-view fringe projection on a point-by-point basis. The multi-view system also achieves a high degree of surface coverage by using alternate views to access areas not measured by a single camera.