Microstructural patterns with tunable mechanical anisotropy obtained by simulating anisotropic spinodal decomposition

34Citations
Citations of this article
81Readers
Mendeley users who have this article in their library.

This article is free to access.

Abstract

The generation of mechanical metamaterials with tailored effective properties through carefully engineered microstructures requires avenues to predict optimal microstructural architectures. Phase separation in heterogeneous systems naturally produces complex microstructural patterns whose effective response depends on the underlying process of spinodal decomposition. During this process, anisotropy May arise due to advection, diffusive chemical gradients or crystallographic interface energy, leading to anisotropic patterns with strongly directional effective properties. We explore the link between anisotropic surface energies during spinodal decomposition, the resulting microstructures and, ultimately, the anisotropic elastic moduli of the resulting medium. We simulate the formation of anisotropic patterns within representative volume elements, using recently developed stabilized spectral techniques that circumvent further regularization, and present a powerful alternative to current numerical techniques. The interface morphology of representative phase-separated microstructures is shown to strongly depend on surface anisotropy. The effective elastic moduli of the thus-obtained porous media are identified by periodic homogenization, and directionality is demonstrated through elastic surfaces. Our approach not only improves upon numerical tools to simulate phase separation; it also offers an avenue to generate tailored microstructures with tunable resulting elastic anisotropy.

Cite

CITATION STYLE

APA

Vidyasagar, A., Krödel, S., & Kochmann, D. M. (2018). Microstructural patterns with tunable mechanical anisotropy obtained by simulating anisotropic spinodal decomposition. In Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences (Vol. 474). Royal Society Publishing. https://doi.org/10.1098/rspa.2018.0535

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free