Reduced FFT-Based Simulation of a Mechanically Loaded Clustered Microstructure Using an Adaptive Set of Fourier Modes

Abstract:

Processes, such as deep rolling or induction hardening, have a remarkable influence on the material properties within the surface layer of a work piece. Our overall goal is to develop efficient two-scale methods, which are able to show the microstructural evolution of the machined material. The calculation of a spatially resolved microstructure comes along with a high computational effort. To reduce the computational costs, we combine a clustered description of the structure [1] with a model order reduction technique for the performed fast Fourier transformations (FFT) [2]. We choose a reduced set of Fourier modes, which is adapted to the underlying microstructure and thus based on the occurring strain field [3]. By that, we analyze the influence of a mechanical impact on an elasto-plastically deforming material.

• Periodical: Key Engineering Materials (Volume 926)
• Pages: 2285-2292
• DOI: https://doi.org/10.4028/p-9cr29c
• Online since: July 2022
• Authors: Johanna Waimann*, Christian Gierden, Annika Schmidt, Bob Svendsen, Stefanie Reese
• Keywords: Clustered Microstructure, Fast Fourier Transform, Model Order Reduction

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