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Nonplanar 3D Printing of Bifurcating Forms.
Ioanna Mitropoulou1, Mathias Bernhard2, Benjamin Dillenburger1
1Digital Building Technologies, Institute of Technology in Architecture (ITA), Faculty of Architecture, ETH Zurich, Zurich, Switzerland.
3D Printing and Additive Manufacturing
|January 19, 2023
Summary
This study introduces new methods for designing nonplanar paths in robotic additive manufacturing, enabling complex architectural 3D printing. These techniques facilitate the creation of intricate, large-scale structures with enhanced design flexibility.
Area of Science:
- Robotics
- Additive Manufacturing
- Computational Design
Background:
- Robotic arms in additive manufacturing allow for scaled-up 3D printing and nonplanar path geometries.
- This enables novel design potential, particularly for architectural applications, but faces challenges in creating feasible nonplanar paths for large objects.
Purpose of the Study:
- To present methods for flexible and intuitive design of nonplanar layered paths for robotic printing.
- To address challenges in realizing single-shell bifurcating structures, focusing on path behavior at bifurcation points.
Main Methods:
- Utilizing design techniques from implicit shape representation.
- Employing distance functions for detecting critical points on surfaces.
- Focusing on the behavior of paths at bifurcating moments in single-shell structures.
Main Results:
- Development of methods for flexible and intuitive design of nonplanar layered paths.
- Successful fabrication of prototypes demonstrating the capabilities of the presented methods.
- Showcasing the potential for complex architectural applications through robotic printing.
Conclusions:
- The presented methods facilitate the design and realization of complex nonplanar paths for robotic additive manufacturing.
- These advancements unlock new possibilities for architectural design and large-scale 3D printing.
- The work highlights the potential of implicit shape representation and critical point detection for future innovations.

