Flow and Conductivity Simulations with GeoDict 2019

Flow and Conductivity Simulations with GeoDict® 2019

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Wednesday, June 27, 2018 by Dr. Sven Linden, Math2Market GmbH.
Edited by Dr. Barbara Planas, Sina Schwichow and Franziska Arnold, Math2Market GmbH.

For the new development of many materials and the analysis of existing materials, it is crucial to understand fluid flow phenomena and thermal or electrical conductivity processes. Many of these important physical properties are computed with the FlowDict and ConductoDict modules in GeoDict. Among others, properties such as air and water permeability in woven fabrics, pressure drop in filter media, absolute permeability of digital rock models or thermal conductivity in gas diffusion layers are calculated with push-button ease.

The LIR solver in GeoDict is the state-of-the-art solver to tackle flow and conduction simulations. LIR is a very fast and memory efficient iterative finite volume solver. This unique solver uses an innovative method, with an adaptive grid instead of a regular grid, that reduces the number of grid cells significantly. The pores are represented as differently sized rectangular cuboid cells and solid regions do not occupy computational memory. The pore space is coarsened in areas with slight velocity and pressure variations, while keeping the original resolution near the solid surfaces and in regions with quick velocity and pressure variations.

First introduced in GeoDict 2014 as fourth solver generation in FlowDict, the LIR solver was dedicated to solve slow creeping flows governed by the Stokes equations. In GeoDict 2015, the LIR solver was extended to solve the Stokes-Brinkman equations which allows spatial upscaling of flow phenomena. In GeoDict 2017, the LIR solver was expanded to solve fast flows governed by the Navier-Stokes or Navier-Stokes-Brinkman equations, after recognizing that in many application areas, the effect of fast air or water flows plays a vital role. In GeoDict 2018, the adaptive grid method of the LIR solver is used as compression method for velocity and pressure files and allows compression ratios up to 90% and more on the hard drive.

The upcoming GeoDict 2019 outdoes previous releases. To solve diffusion and thermal and electrical conductivity, the LIR solver is now present not only in FlowDict, but also in DiffuDict and ConductoDict. To deal with complex direction dependent conductance phenomena, isotropic, transverse isotropic, orthotropic and anisotropic constituent materials are available. To model the imperfect contact between two objects or between objects and its surrounding matrix, contact resistance is now taken into account by the LIR solver and the Explicit Jump (EJ) solver. The heat flux of a thermal conductivity simulation on a gas diffusion layer (GDL) is shown in the following image. Here, the LIR solver was used to compute properties on a structure made up of transverse isotropic fibers and isotropic binder.

GDL structure with heat flux shown in the fibers

More sensational yet is the novel Multigrid method implemented in the LIR solver of GeoDict 2019 to significantly speed-up computations and reduce runtime. The multigrid-LIR uses multiple coarser adaptive grids to speed-up convergence behavior but requires only slightly more memory than the conventional LIR solver. The multigrid-LIR solves the Stokes and Stokes-Brinkman equations in FlowDict, as well as diffusion, thermal and electrical conduction in DiffuDict and ConductoDict. The following graph shows the strength of the multigrid-LIR by comparing the total runtime for previous GeoDict releases and the upcoming GeoDict 2019 with multigrid-LIR. Here, comparing GeoDict 2018 and GeoDict 2019, the runtime is reduced by over 50% for a Stokes flow simulation on four digital rocks with porosities ranging from 9% to 22% and 1024ģ voxels.

Runtime improvements in FlowDict over GeoDict versions