Five simple tools for stochastic lattice creation

Groth, Jan Hendrik; Anderson, Caelan; Magnini, Mirco; Tuck, Christopher; Clare, Adam

Abstract

Lattices are increasingly used in engineering applications. They can reduce weight in aircraft components, increase the efficiency of heat exchangers and are used as medical implants. Typically a regular and graded lattice, where the unit cells are iterated one after another is used. Although methods exist to create stochastic lattices, they are limited to apply only one randomness to all lattice defining parameters (isotropic randomness). However, nature suggests a different value of randomness for each parameter (anisotropic randomness). Here we demonstrate five new approaches to create a stochastic lattice to enable novel structure creation. Firstly, a tool to create isotropic randomness, secondly, a way to create anisotropic randomness, thirdly, an approach to create graded randomness, fourthly, a feature to create layered randomness controlled by a function, and finally, we create a lattice with stochastic surface roughness. These techniques will provide new possibilities in designing true biomimetic medical implants, heat exchangers and mechanical components.

Citation

Groth, J. H., Anderson, C., Magnini, M., Tuck, C., & Clare, A. (2022). Five simple tools for stochastic lattice creation. Additive Manufacturing, 49, Article 102488. https://doi.org/10.1016/j.addma.2021.102488

• Journal Article Type: Article
• Acceptance Date: Nov 11, 2021
• Online Publication Date: Nov 26, 2021
• Publication Date: 2022-01
• Deposit Date: Dec 23, 2021
• Publicly Available Date: Nov 27, 2022
• Journal: Additive Manufacturing
• Print ISSN: 2214-7810
• Electronic ISSN: 2214-8604
• Publisher: Elsevier
• Peer Reviewed: Peer Reviewed
• Volume: 49
• Article Number: 102488
• DOI: https://doi.org/10.1016/j.addma.2021.102488
• Keywords: Industrial and Manufacturing Engineering; Engineering (miscellaneous); General Materials Science; Biomedical Engineering
• Public URL: https://nottingham-repository.worktribe.com/output/7057561
• Publisher URL: https://www.sciencedirect.com/science/article/pii/S2214860421006369?via%3Dihub