DESIGN OPTIMIZATION OF SPACE SYSTEM COMPONENTS USING ADDITIVE MANUFACTURING
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Authors
Hippler, Collin M.
Subjects
spacecraft
rocket
system optimization
structural system optimization
structures
structural analysis
structural vibrations
finite element method
FEM
topology optimization
additive manufacturing
3D printing
design optimization
rocket
system optimization
structural system optimization
structures
structural analysis
structural vibrations
finite element method
FEM
topology optimization
additive manufacturing
3D printing
design optimization
Advisors
Gordis, Joshua H.
Lan, Wenschel D.
Date of Issue
2024-06
Date
Publisher
Monterey, CA; Naval Postgraduate School
Language
Abstract
While launch costs have decreased in the past decade, the desire to minimize mass for space systems persists. Previous research has identified several design optimization techniques centered around the use of additive manufacturing, but no way of combining these techniques into an efficient workflow has been developed yet. This thesis explores the feasibility of combining several design optimization techniques and assessing their performance to develop workflows that allow for rapidly optimizing components for use in aerospace systems. In this research, a rocket’s structural bracket was chosen as the component to be optimized. Various types of topology optimization techniques were applied to the bracket and were assessed on structural performance. A lattice design optimization was then conducted and evaluated. Afterward, a combination of multiple optimization techniques were then experimented with. The results of these experiments then had their performances evaluated as well. Through direct comparison of each model, it was found that a workflow centered around a lattice design produced the fastest and cheapest results. A workflow involving a topology optimization produced better results at higher expense. The best results came from combining a topology optimization with a lattice design optimization, but was the most computationally expensive. These results provide insight into the appropriate design and optimization workflow that will best support a system’s requirements.
Type
Thesis
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Distribution Statement
Distribution Statement A. Approved for public release: Distribution is unlimited.
Rights
This publication is a work of the U.S. Government as defined in Title 17, United States Code, Section 101. Copyright protection is not available for this work in the United States.