TY - JOUR
T1 - Architectured and additively manufactured double-negative index metamaterials
AU - Almeida, Cláudia J.
AU - Cardoso, João O.
AU - Coelho, Pedro G.
AU - Velhinho, Alexandre
AU - Xavier, José
AU - Borges, João P.
N1 - info:eu-repo/grantAgreement/FCT/OE/SFRH%2FBD%2F146227%2F2019/PT#
info:eu-repo/grantAgreement/FCT/OE/2021.05360.BD/PT#
info:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F00667%2F2020/PT#
Publisher Copyright:
© 2022, Scipedia S.L. All rights reserved.
PY - 2022/11/24
Y1 - 2022/11/24
N2 - Developing a new generation of multifunctional metamaterials with unusual thermoelastic properties enables a wide range of industrial applications, particularly in the aerospace industry. However, obtaining metamaterials with target properties by the systematic design of their microstructure and architecture remains a major challenge to this day. Topology Optimization (TO) is a powerful tool that can be used to develop the so-called anepectic metamaterials that combine both negative Poisson’s Ratio (NPR) and negative thermal expansion (NTE). Here, an overview of the existing contributions in the literature regarding such metamaterials is presented. A Finite Element (FE) model for an anepectic microstructure is presented here for the purpose of simulating in silico the experimental results obtained in previous works. It is noted that scarce contributions resort to TO to design such metamaterials and even fewer present experimental validation. The present work presents a state of the art of anepectic metamaterials and emphasizes thus the importance of the engineering-cycle completion, i.e., starting with the systematic and optimal design of metamaterials and ending up in prototype fabrication and its verification.
AB - Developing a new generation of multifunctional metamaterials with unusual thermoelastic properties enables a wide range of industrial applications, particularly in the aerospace industry. However, obtaining metamaterials with target properties by the systematic design of their microstructure and architecture remains a major challenge to this day. Topology Optimization (TO) is a powerful tool that can be used to develop the so-called anepectic metamaterials that combine both negative Poisson’s Ratio (NPR) and negative thermal expansion (NTE). Here, an overview of the existing contributions in the literature regarding such metamaterials is presented. A Finite Element (FE) model for an anepectic microstructure is presented here for the purpose of simulating in silico the experimental results obtained in previous works. It is noted that scarce contributions resort to TO to design such metamaterials and even fewer present experimental validation. The present work presents a state of the art of anepectic metamaterials and emphasizes thus the importance of the engineering-cycle completion, i.e., starting with the systematic and optimal design of metamaterials and ending up in prototype fabrication and its verification.
KW - Additive Manufacturing
KW - FEM
KW - Negative Poisson’s Ratio
KW - Negative Thermal Expansion
KW - Thermoelasticity
KW - Topology Optimization
UR - http://www.scopus.com/inward/record.url?scp=85146945280&partnerID=8YFLogxK
U2 - 10.23967/eccomas.2022.056
DO - 10.23967/eccomas.2022.056
M3 - Conference article
AN - SCOPUS:85146945280
SN - 2696-6999
JO - World Congress in Computational Mechanics and ECCOMAS Congress
JF - World Congress in Computational Mechanics and ECCOMAS Congress
T2 - 8th European Congress on Computational Methods in Applied Sciences and Engineering, ECCOMAS Congress 2022
Y2 - 5 June 2022 through 9 June 2022
ER -