Self-supporting interior structures modeling for buoyancy optimization of computational fabrication

Self-supporting interior structures modeling for buoyancy optimization of computational fabrication Interior structures including lattice, porous, or cellular structures have been widely used in geometric design for 3D printing. It can not only reduce the weight of objects but also adjust the physical properties, such as stress, balance, and center of mass. In this work, we present a novel method for buoyant equilibrium and optimization of the material distribution inside an object, such that the 3D printed object satisfies prescribed constraints of mass properties. In particular, we introduce a mathematical method to describe the internal structure compactly, and prove that this compact formulation generates density-variable lattice structures to control the mass properties precisely. Additionally, this internal structure has shown itself to be capable of self-supporting in 3D printing processing. We demonstrate the effectiveness of our mathematically based method for generating interior patterns in the applications of optimizing shapes that stably float in liquids, and in improving mechanical stiffness. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png The International Journal of Advanced Manufacturing Technology Springer Journals

Self-supporting interior structures modeling for buoyancy optimization of computational fabrication

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Publisher
Springer Journals
Copyright
Copyright © 2017 by Springer-Verlag London Ltd.
Subject
Engineering; Industrial and Production Engineering; Media Management; Mechanical Engineering; Computer-Aided Engineering (CAD, CAE) and Design
ISSN
0268-3768
eISSN
1433-3015
D.O.I.
10.1007/s00170-017-1261-6
Publisher site
See Article on Publisher Site

Abstract

Interior structures including lattice, porous, or cellular structures have been widely used in geometric design for 3D printing. It can not only reduce the weight of objects but also adjust the physical properties, such as stress, balance, and center of mass. In this work, we present a novel method for buoyant equilibrium and optimization of the material distribution inside an object, such that the 3D printed object satisfies prescribed constraints of mass properties. In particular, we introduce a mathematical method to describe the internal structure compactly, and prove that this compact formulation generates density-variable lattice structures to control the mass properties precisely. Additionally, this internal structure has shown itself to be capable of self-supporting in 3D printing processing. We demonstrate the effectiveness of our mathematically based method for generating interior patterns in the applications of optimizing shapes that stably float in liquids, and in improving mechanical stiffness.

Journal

The International Journal of Advanced Manufacturing TechnologySpringer Journals

Published: Nov 4, 2017

References

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