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Fabrication-aware structural optimisation of lattice additive-manufactured with robot-arm

Jasmine Kim, Yijiang Huang, Justin Lavallee, Caitlin Mueller, Mitchell Gu, Daniel J. Marshall, Kam Ming Mark Tam

Year
2018
Citations
11

Abstract

Architectural structures achieving high strength and stiffness with intelligent, but intricate geometry may now be materialisable through additive manufacturing (AM). However, conventional layer-based AM also produces parts with inconsistent structural strength - thereby limiting AM's end-use applications. Expanding on robotics-enabled AM techniques addressing this limitation, a novel design-fabrication framework for producing structurally optimised lattices is presented here. Lattices are geometrically morphed to maximise their structural stiffness-to-weight ratio while respecting fabrication constraints imposed by the robotic printing process, and converted into tool-paths for PLA extrusion with a custom-built end effector mounted on an industrial robot arm. The printing process leverages thermal imaging for calibration, and develops a novel joint detail to increase the reliability and load-transfer capabilities of the print. Together, these techniques and methods - validated through comparative structural load testing - show promise for architecture-scale AM that combines structurally driven geometry with complexity-agnostic materialisation in new and exciting ways.

Keywords

FabricationStiffnessComputer scienceRobotics3D printingLimitingFused filament fabricationRobotProcess (computing)Mechanical engineering

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