Session: DFMLC-05-01: Design for Additive Manufacturing

Paper Number: 116735

116735 - Predicting the Behavior of Large-Scale, Additively Manufacturable Lattice Structures via the Laws of Similitude 

Additive Manufacturing (AM) use in construction has been on the rise in recent years. This means faster build times, less waste, and increased efficiency. However, conventional structural building blocks are not fully leveraging the capabilities offered by AM. There is yet an unexplored domain where AM could be used to manufacture structural components for use in construction while also introducing topological novelty.For this reason, the authors propose using AM-enabled self-supporting lattice structures as a part of the construction process. Using these unconventional structural members requires testing; however, full-scale testing is not always economically feasible. From an experimental testing standpoint, it would be easier to test these in a controlled environment at a small scale; as the behavior of lattice structures in structural loading is still understudied. To understand the behavior of these structures, it is imperative to understand whether the existing scaling laws can be applied to these non-homogeneous, discontinuous lattice structures. This paper explores the requirements for performing scaled-down testing on latticed beams with dissimilar materials in a virtual environment. The performance rating of the unit cells tested in order is Diamond, Gyroid, and Fluorite, while the accuracy of prediction as ranked from these simulations, is best for a compression test, then for a cantilever beam, and lastly for a three-point bending test.

Presenting Author: Sumant Rokade Penn State

Presenting Author Biography: Sumant Rokade is an MS student in Engineering Design at Penn State.

Authors:

Sumant Rokade Penn State
Mariantonieta Gutierrez Soto Penn State
Nicholas Meisel Penn State