Phase-Field Simulations of Large-Scale Microstructures by Integrated Parallel Algorithms

Johannes Hötzer (), Marcus Jainta (), Alexander Vondrous (), Jörg Ettrich (), Anastasia August (), Daniel Stubenvoll (), Mathias Reichardt (), Michael Selzer () and Britta Nestler ()
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Johannes Hötzer: Karlsruhe Institute of Technology (KIT), Institute of Applied Materials,Reliability of Components and Systems (IAM-ZBS)
Marcus Jainta: Karlsruhe Institute of Technology (KIT), Institute of Applied Materials,Reliability of Components and Systems (IAM-ZBS)
Alexander Vondrous: Karlsruhe Institute of Technology (KIT), Institute of Applied Materials,Reliability of Components and Systems (IAM-ZBS)
Jörg Ettrich: Karlsruhe Institute of Technology (KIT), Institute of Applied Materials,Reliability of Components and Systems (IAM-ZBS)
Anastasia August: Karlsruhe Institute of Technology (KIT), Institute of Applied Materials,Reliability of Components and Systems (IAM-ZBS)
Daniel Stubenvoll: Karlsruhe Institute of Technology (KIT), Institute of Applied Materials,Reliability of Components and Systems (IAM-ZBS)
Mathias Reichardt: Karlsruhe Institute of Technology (KIT), Institute of Applied Materials,Reliability of Components and Systems (IAM-ZBS)
Michael Selzer: Karlsruhe Institute of Technology (KIT), Institute of Applied Materials,Reliability of Components and Systems (IAM-ZBS)
Britta Nestler: Karlsruhe Institute of Technology (KIT), Institute of Applied Materials,Reliability of Components and Systems (IAM-ZBS)

A chapter in High Performance Computing in Science and Engineering ‘14, 2015, pp 629-644 from Springer

Abstract: Abstract In this report, we present specific model extensions of the phase-field method [17] implemented in the software framework PACE3D and summarize the underlying parallelized algorithms. Three different applications of microstructure evolution processes are illustrated and the need of large representative volume elements and of efficient parallelization. Within a first application, a parallel connected component labeling algorithm, is optimized for a large number of computing units, and is used for the simulation of pore development in the sintering processes. The second topic discusses a brute force study of the Read-Shockley model, to investigate recrystallization and abnormal grain growth in anisotropic polycrystalline material systems. The third topic is focussed on heat transfer and fluid flow in metallic foam structures depending on the porosity as base material for new heat storage systems.

Keywords: Representative Volume Element; Message Passing Interface; Computing Unit; Local Component; Vertex Model (search for similar items in EconPapers)
Date: 2015
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-319-10810-0_41

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DOI: 10.1007/978-3-319-10810-0_41

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