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Fast Layered Manufacturing Support Volume Computation on GPUs

[+] Author Affiliations
Rahul Khardekar, Sara McMains

University of California at Berkeley, Berkeley, CA

Paper No. DETC2006-99666, pp. 993-1002; 10 pages
  • ASME 2006 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference
  • Volume 1: 32nd Design Automation Conference, Parts A and B
  • Philadelphia, Pennsylvania, USA, September 10–13, 2006
  • Conference Sponsors: Design Engineering Division and Computers and Information in Engineering Division
  • ISBN: 0-7918-4255-X | eISBN: 0-7918-3784-X
  • Copyright © 2006 by ASME


We present a GPU-accelerated algorithm for computing a fast approximation of the volume of supports required for layered manufacturing in a given build direction, one criterion often used to choose a direction that requires less time and material. In a sequence of rendering passes that project the part in the given build direction, we use depth peeling to identify faces bounding supports. We exploit programmable graphics hardware to compute the total height of all supports at each projected pixel location, scale the values by pixel area, and finally sum over all pixels to find the total volume of supports. For sample parts tested, our algorithm achieves over 99% accuracy and running times ranging from .2 seconds, for a part with 1,252 facets and depth complexity 2, to 1.86 seconds, for a part with 419,798 facets and depth complexity 9.

Copyright © 2006 by ASME



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