Elastically-isotropic open-cell minimal surface shell lattices with superior stiffness via variable thickness design
Qingping Ma, Lei Zhang, Junhao Ding, Shuo Qu, Jin Fu, Mingdong Zhou,, Ming Wang Fu, Xu Song, Michael Yu Wang

TL;DR
This paper introduces variable thickness TPMS shell lattices optimized for isotropic stiffness, demonstrating superior mechanical properties and reduced anisotropy through computational design and experimental validation.
Contribution
The study develops a strain energy-based optimization method to achieve isotropic stiffness in TPMS shell lattices, with experimental validation showing improved isotropy and mechanical performance.
Findings
Optimized lattices reach over 90% of the Hashin-Shtrikman upper bound.
Optimized N14 lattices outperform uniform ones in stiffness and isotropy.
Experimental tests confirm reduced anisotropy and enhanced energy absorption.
Abstract
Triply periodic minimal surface (TPMS) shell lattices are attracting increasingly attention due to their unique combination of geometric and mechanical properties, and their open-cell topology. However, uniform thickness TPMS shell lattices are usually anisotropic in stiffness, namely having different Young's moduli along different lattice directions. To reduce the elastic anisotropy, we propose a family of variable thickness TPMS shell lattices with isotropic stiffness designed by a strain energy-based optimization algorithm. The optimization results show that all the six selected types of TPMS lattices can be made to achieve isotropic stiffness by varying the shell thickness, among which N14 can maintain over 90% of the Hashin-Shtrikman upper bound of bulk modulus. All the optimized shell lattices exhibit superior stiffness properties and significantly outperform elastically-isotropic…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
