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

Andrew Jones; Thomas Cameron; Benjamin Eichholz; Martin Eichers; Taylor Kray; Jeremy Straub

doi:10.1117/12.2520261

28 May 2019 Reducing space sensing and other mission cost with 3D printing infill optimization

Andrew Jones, Thomas Cameron, Benjamin Eichholz, Martin Eichers, Taylor Kray, Jeremy Straub

Proceedings Volume 11017, Sensors and Systems for Space Applications XII; 1101709 (2019) https://doi.org/10.1117/12.2520261
Event: SPIE Defense + Commercial Sensing, 2019, Baltimore, MD, United States

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.

Conference Presentation

Citation Download Citation

Andrew Jones, Thomas Cameron, Benjamin Eichholz, Martin Eichers, Taylor Kray, and Jeremy Straub "Reducing space sensing and other mission cost with 3D printing infill optimization", Proc. SPIE 11017, Sensors and Systems for Space Applications XII, 1101709 (28 May 2019); https://doi.org/10.1117/12.2520261

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