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Title: Quadric-Of-Revolution (QUADOR) beams and their applications to lattice structures
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Ashish Gupta
School of Interactive Computing
College of Computing
Georgia Institute of Technology
Date: Thursday, July 2, 2020
Time: 10:00 am EST
Location: https://us02web.zoom.us/j/86250641438?pwd=dmNsYndkWkRBL1IyS0R6alBOb0dvUT09
** NOTE: those who are not on the committee but plan to attend, may send (ashish.gupta@gatech.edu) their email ids, so that, if needed, we can invite them to another online platform.
**Note: this defense is remote-only due to the institute's guidelines on COVID-19**
Committee:
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Prof. Jarek Rossignac (Advisor, School of Interactive Computing, Georgia Tech)
Prof. Greg Turk (School of Interactive Computing, Georgia Tech)
Prof. Concettina Guerra (School of Interactive Computing, Georgia Tech)
Prof. Athanassios Economou (School of Architecture, Georgia Tech)
Dr. Suraj Musuvathy (nTopology Inc.)
Abstract
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Additive Manufacturing (AM) or 3D printing presents the potential to fabricate parts with novel mechanical properties by allowing control over the internal microstructure of these parts. Lattices used for designing these microstructures are often defined by 3D arrangements of balls and beams. Attempting to discover optimal structures with desired mechanical properties, engineers explore variations: of the overall shape of these arrangements; of the dimensions and placements of the balls; of the profile shape of the beams and of the lattice connectivity that they form.
Current Solid Modeling technology only provides limited support for such explorations for several reasons: (1) Each beam connects two balls. It is often desired to ensure that the surface of the beam connects with tangential continuity to the surfaces of the two balls that it joins. Furthermore, it is often desired to use beams with curved profiles and not just those bounded by straight circular cone sections. The round-off errors resulting from computing the intersections of such beams, and hence the precise boundary representation of the lattice prohibit doing so reliably when the beams are relatively small compared to the overall size of the lattice. (2) Microstructure lattices have extremely high complexity (possibly billions of beams). Precise models of such structures are not supported by the current generation of commercial modelers. Furthermore, it is computationally prohibitive to compute mass properties of such lattices by iterating over its balls and beams.
In this thesis, we propose to address both of these problems: (1) The challenge of designing and modeling beams with curved profiles and of computing their surface reliably and accurately. (2) The challenge of precisely modeling highly complex lattices with profiled beams and of efficiently computing their mass properties.
To address the first challenge:
To address the second challenge:
Our proposals lay the foundation for designing enormously large and complex lattice microstructures for 3D printed parts. Several of our proposals form the backbone of the state-of-the-art geometric applications developed for DARPA's TRAansformative DESign (TRADES) project. Part of the research reported in this thesis is published in the following papers: