TY - GEN
T1 - Optimization of additively manufactured multi-material lattice structures using generalized optimality criteria
AU - Stankovic, Tino
AU - Mueller, Jochen
AU - Egan, Paul
AU - Shea, Kristina
N1 - Publisher Copyright:
Copyright © 2015 by ASME.
Copyright:
Copyright 2016 Elsevier B.V., All rights reserved.
PY - 2015
Y1 - 2015
N2 - Recent progress in additive manufacturing allows for printing customized products with multiple materials and complex geometries. Effectively designing such complex products for optimal performance within the confines of additive manufacturing constraints is challenging, due to the large number of variables in the search space and uncertainties about how the manufacturing processes affect fabricated materials and structures. In this study, characteristics of materials, i.e. Young's modulus (E), ultimate tensile strength (UTS) and density (ρ), for a multi-material inkjet-based 3D-printer are measured experimentally in order to generate data curves for a computational optimization process in configuring multimaterial lattice structures. An optimality criteria method is developed for computationally searching for optimal solutions of a multi-material lattice with fixed topology and truss crosssection sizes using the empirically obtained material measurements. Results demonstrate the feasibility of the approach for optimizing multi-material, lightweight truss structures subject to displacement constraints.
AB - Recent progress in additive manufacturing allows for printing customized products with multiple materials and complex geometries. Effectively designing such complex products for optimal performance within the confines of additive manufacturing constraints is challenging, due to the large number of variables in the search space and uncertainties about how the manufacturing processes affect fabricated materials and structures. In this study, characteristics of materials, i.e. Young's modulus (E), ultimate tensile strength (UTS) and density (ρ), for a multi-material inkjet-based 3D-printer are measured experimentally in order to generate data curves for a computational optimization process in configuring multimaterial lattice structures. An optimality criteria method is developed for computationally searching for optimal solutions of a multi-material lattice with fixed topology and truss crosssection sizes using the empirically obtained material measurements. Results demonstrate the feasibility of the approach for optimizing multi-material, lightweight truss structures subject to displacement constraints.
UR - http://www.scopus.com/inward/record.url?scp=84979055383&partnerID=8YFLogxK
U2 - 10.1115/DETC2015-47403
DO - 10.1115/DETC2015-47403
M3 - Conference contribution
AN - SCOPUS:84979055383
T3 - Proceedings of the ASME Design Engineering Technical Conference
BT - 35th Computers and Information in Engineering Conference
PB - American Society of Mechanical Engineers (ASME)
Y2 - 2 August 2015 through 5 August 2015
ER -