Chapter 4
Computational Design of Complex 3D Printed Objects
Emiel van de Ven,
Can Ayas,
Matthijs Langelaar,
Emiel van de Ven
II Optomechatronics Group, Netherlands Organisation for Applied Scientific Research TNO, Delft, The Netherlands
Search for more papers by this authorCan Ayas
I Structural Optimization and Mechanics Group, Delft University of Technology, Delft, The Netherlands
Search for more papers by this authorMatthijs Langelaar
I Structural Optimization and Mechanics Group, Delft University of Technology, Delft, The Netherlands
Search for more papers by this authorEmiel van de Ven,
Can Ayas,
Matthijs Langelaar,
Emiel van de Ven
II Optomechatronics Group, Netherlands Organisation for Applied Scientific Research TNO, Delft, The Netherlands
Search for more papers by this authorCan Ayas
I Structural Optimization and Mechanics Group, Delft University of Technology, Delft, The Netherlands
Search for more papers by this authorMatthijs Langelaar
I Structural Optimization and Mechanics Group, Delft University of Technology, Delft, The Netherlands
Search for more papers by this authorBook Editor(s):Albert Tarancón,
Vincenzo Esposito,
Albert Tarancón
Catalonia Institute for Energy Research and ICREA, Barcelona, Spain
Search for more papers by this authorVincenzo Esposito
Department of Energy Conversion and Storage, Technical University of Denmark, Fysikvej, Lyngby, Denmark
Search for more papers by this authorFirst published: 08 February 2021
Summary
This chapter focuses on topology optimization (TO), a prominent computational design method that is often associated with 3D printing. In both the commercial and research domains, density-based TO method is most prominent. The seemingly simple geometric requirement of restricting the angle of downfacing surfaces can be included in TO in a number of ways. The chapter describes three main overhang angle control approaches: local angle control, physics-based constraints and simplified printing process. A computational method to determine the printable regions of a given part geometry enables different design scenarios for 3D printing. The chapter presents a case study on computational design of a 3D-Printed flow manifold. This manifold facilitates fluid flow from an inlet to an outlet at predefined positions. Additive manufacturing (AM) is in constant development, and computational design techniques for AM are constantly evolving as well.
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