English

Bioinspired Nested-Isotropic Lattices with Tunable Anisotropy for Additive Manufacturing

Computational Engineering, Finance, and Science 2024-05-21 v1

Abstract

This study presents innovative nested-isotropic lattices for additive manufacturing, drawing inspiration from bio-architectures found in cortical bone osteons, golden spirals, and fractals. These lattices provide tunable anisotropy by integrating architectural elements like ``nesting orders (NOs)'' and corresponding ``nesting orientations (NORs),'' along with repetitive self-similar X-cross struts and three four-fold axes of symmetry, resulting in a wide spectrum of lattice designs. Nine mono-nest and twenty multi-nest lattices, along with 252 parametric variations, are realized. The relative density ρˉ \bar{\rho} and surface area density Sˉ \bar{S} are calculated. Employing finite element-based numerical homogenization, elastic stiffness tensors are estimated to evaluate the anisotropic measure - Zener ratio Z Z and elastic modulus Eˉ \bar{E} for all lattice designs. The mono-nest lattices generated considering higher NOs and respective NORs exhibit a transition from shear dominant to tensile/compression dominant (TCD) anisotropic behavior and their strut size variations show a strong influence on ρˉ \bar{\rho} , Sˉ \bar{S} , and Eˉ \bar{E} . In contrast, multi-nest lattices exhibit isotropic and neo-isotropic characteristics, with strut size mismatch exerting more influence on Z Z . Increasing NOs and NORs result in isotropic or TCD behavior for most multi-nest lattices, with strut size mismatch leading to many isotropic lattices. These bio-inspired nested lattices, coupled with advancements in additive manufacturing, hold potential for diverse applications.

Cite

@article{arxiv.2405.11596,
  title  = {Bioinspired Nested-Isotropic Lattices with Tunable Anisotropy for Additive Manufacturing},
  author = {R. Boda and B. Panda and S. Kumar},
  journal= {arXiv preprint arXiv:2405.11596},
  year   = {2024}
}

Comments

50 pages, 16 figures in the main text

R2 v1 2026-06-28T16:32:24.667Z