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Proceedings Paper

Reducing space sensing and other mission cost with 3D printing infill optimization
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Paper Abstract

Reducing spacecraft and structure mass and volume can significantly reduce overall mission cost. The use of 3D printing provides one solution to this challenge. This paper analyzes ways to optimize support and infill structures by minimizing material usage while maintaining structural integrity to reduce the amount of material required to complete the 3D print and reduce overall cost. Specifically, a software method for generating 3D infill and support structures for 3D printing is proposed. The implementation of the method and the theory behind it are discussed. Results are presented from simulated and physical tests conducted on the method’s generated structures.

Paper Details

Date Published: 28 May 2019
PDF: 6 pages
Proc. SPIE 11017, Sensors and Systems for Space Applications XII, 1101709 (28 May 2019); doi: 10.1117/12.2520261
Show Author Affiliations
Andrew Jones, North Dakota State Univ. (United States)
Thomas Cameron, North Dakota State Univ. (United States)
Benjamin Eichholz, North Dakota State Univ. (United States)
Martin Eichers, North Dakota State Univ. (United States)
Taylor Kray, North Dakota State Univ. (United States)
Jeremy Straub, North Dakota State Univ. (United States)


Published in SPIE Proceedings Vol. 11017:
Sensors and Systems for Space Applications XII
Genshe Chen; Khanh D. Pham, Editor(s)

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