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Analytical design of stretching-dominated truss lattices with tailored elasticity from transversely isotropic base materials

Authors :
Qingping Ma
Lei Zhang
Junhao Ding
Shuo Qu
Jin Fu
Ming Wang Fu
Xu Song
Michael Yu Wang
Source :
Materials & Design, Vol 230, Iss , Pp 111995- (2023)
Publication Year :
2023
Publisher :
Elsevier, 2023.

Abstract

Incorporating the process-induced material anisotropy into design framework of additively manufactured lattice structures is crucial to ensure the accuracy of design and analysis models. This work proposes an analytical approach to design stretching-dominated truss lattices with tailored elastic properties, including isotropic elasticity, tailored zero/negative Poisson’s ratios, tailored Young’s moduli ratios along specified directions. The transversely isotropic elasticity is adopted to represent the micro lase powder bed fusion (LPBF) process-induced anisotropy of base materials. The lattices are designed through combination of elementary bars with appropriate volume fractions. An analytical homogenization theory is established to determine elastic constants of combined lattices. An analytical design approach is proposed to obtain elastically isotropic truss lattices. A traversal searching is performed to determine ranges of Young’s moduli, Poisson’s ratios of combined lattices, and find most manufacturable ones with tailored Young’s moduli ratios and Poisson’s ratios. Finite element analysis reveals all designed lattices from anisotropic materials achieve better agreements to design targets than those designed from isotropic materials, thus validating the superiority of the proposed method. The lattices with isotropic elasticity, tailored zero/negative Poisson’s ratios are fabricated in stainless steel 316L via micro-LPBF, and quasi-static compression experiments are performed to further validate the proposed design approach.

Details

Language :
English
ISSN :
02641275
Volume :
230
Issue :
111995-
Database :
Directory of Open Access Journals
Journal :
Materials & Design
Publication Type :
Academic Journal
Accession number :
edsdoj.83db1c986a74e0ba885265105506cd6
Document Type :
article
Full Text :
https://doi.org/10.1016/j.matdes.2023.111995