LAUSR.org creates dashboard-style pages of related content for over 1.5 million academic articles. Sign Up to like articles & get recommendations!

GPU accelerated CAD to inspection data deviation colormap generation

Photo from wikipedia

ABSTRACTInspection of stamped sheet metal parts can require CAD to inspection data comparison rates exceeding 1 million points per second. With current serial CPU algorithms, comparing the nominal CAD to… Click to show full abstract

ABSTRACTInspection of stamped sheet metal parts can require CAD to inspection data comparison rates exceeding 1 million points per second. With current serial CPU algorithms, comparing the nominal CAD to the digitizer data can take several minutes. The thousands of cores available with Graphical Processing Units (GPUs) therefore offer an attractive alternative. This paper describes GPU accelerated algorithms and memory management optimization for both point-facet and facet-facet CAD to inspection point cloud data deviation colormap generation. Computation time reduction from over 4 minutes to 2 seconds – a speed-up of 124X – was achieved. In collaboration with an industry partner, the result is implemented as a practical Windows compatible DLL that can be deployed to the factory floor.

Keywords: gpu accelerated; cad inspection; inspection data; data deviation; deviation colormap; inspection

Journal Title: Computer-aided Design and Applications
Year Published: 2017

Link to full text (if available)


Share on Social Media:                               Sign Up to like & get
recommendations!

Related content

More Information              News              Social Media              Video              Recommended



                Click one of the above tabs to view related content.