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Geometry Systems for Lattice-Based Reconfigurable Space StructuresWe describe analytic methods for the design of the discrete elements of ultralight lattice structures. This modular building block strategy allows for relatively simple element manufacturing as well as relatively simple robotic assembly of low mass-density structures on orbit, with potential for disassembly and reassembly into highly varying and large structures. This method also results in a structure that is easily navigable by relatively small, mobile robots. The geometry of the cell can allow for high packing efficiency to minimize wasted payload volume while maximizing structural performance and constructability. We describe the effect of geometry choices on the mechanical properties and automated robotic constructability of a final system. Geometric properties considered include number of attachments per voxel, number of attachments per coefficient of volume, and effects of vertex, edge, and face connectivity of the unit cell. Mechanical properties considered include strength scaling, modulus scaling, and packing efficiency of the lattice. Automated constructibility metrics include volume allowance for an end-effector, strut clearance angle for an end-effector, and packing efficiency. These metrics were applied to six lattice unit cell geometries: cube, cuboctahedron, octahedron, octet, rhombic dodecahedron, and truncated octahedron. A case study is presented to determine the most suitable lattice system for a specific set of strength and modulus scaling requirements while optimizing for ease of robotic assembly.
Document ID
20200002962
Acquisition Source
Ames Research Center
Document Type
Conference Paper
External Source(s)
Authors
Megan Ochalek
(Massachusetts Institute of Technology Cambridge, Massachusetts, United States)
Benjamin Jenett
(Massachusetts Institute of Technology Cambridge, Massachusetts, United States)
Olivia Formoso
(Stinger Ghaffarian Technologies (United States) Greenbelt, Maryland, United States)
Christine Gregg
(Ames Research Center Mountain View, California, United States)
Greenfield Tran Trinh
(Stinger Ghaffarian Technologies (United States) Greenbelt, Maryland, United States)
Kenneth Cheung
(Ames Research Center Mountain View, California, United States)
Date Acquired
April 23, 2020
Subject Category
Mechanical Engineering
Report/Patent Number
ARC-E-DAA-TN64981
Report Number: ARC-E-DAA-TN64981
Meeting Information
Meeting: IEEE Aerospace Conference
Location: Big Sky, MT
Country: US
Start Date: March 4, 2019
End Date: March 9, 2019
Sponsors: Institute of Electrical and Electronics Engineers
Funding Number(s)
TASK: 234
CONTRACT_GRANT: NNA14AA60C
Distribution Limits
Public
Copyright
Public Use Permitted.
Keywords
digital materials
lattice geometry
autonomous assembly
, in-space assembly
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