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21 to 30 of 41 Results
Jun 22, 2021 - Publication: Humidity and thermal triggered Shape Memory Effect - Rheology-based numerical modelling
Fauser, Dominik; Steeb, Holger, 2021, "Humidity and thermal triggered Shape Memory Effect - Rheology-based numerical modelling - Dynamic Mechanical Thermal Humidity Analysis", https://doi.org/10.18419/darus-2021, DaRUS, V1, UNF:6:YC87IXxORCLw3+woYmYT3A== [fileUNF]
This data contains iso-thermal and iso-humid shear frequency-sweep measurements of Shape Memory Polymers (SMP). The SMP is a polyurethane-based Polymer, which is produced from SMP Technologies Inc. The SMP filament were processed with a 3D printer (Ultimaker 3, Ultimaker, Gelderm...
Jun 22, 2021 - Publication: Humidity and thermal triggered Shape Memory Effect - Rheology-based numerical modelling
Fauser, Dominik; Kuhn, Moritz; Steeb, Holger, 2021, "Humidity and thermal triggered Shape Memory Effect - Rheology-based numerical modelling - Diffusion measurements", https://doi.org/10.18419/darus-2024, DaRUS, V1, UNF:6:ig+5CuLNRHaoCQtncwbvWA== [fileUNF]
This data contains diffusion measurements of Shape Memory Polymers (SMP) immersed in demineralized water. The SMP is a polyurethane-based Polymer, which is produced from SMP Technologies Inc. The SMP filament were processed with a 3D printer (Ultimaker 3, Ultimaker, Geldermarsen,...
Jun 15, 2021Publications
This Dataverse contains diffusion measurements, dynamic thermal humid analysis and thermal humid mechanical cycle data sets of polyurethane-based Shape Memory Polymers.
May 18, 2021 - Dual-network model
Müller, Johannes; Koch, Timo; Weishaupt, Kilian, 2021, "Setup and Data for: 3D conjugate heat transfer simulation in a Berea sandstone sample", https://doi.org/10.18419/darus-1806, DaRUS, V1
This Dataset contains the fluid and solid temperature fields used as reference in the Related Publication (doi:10.1007/s11242-021-01602-5). It results from a 3D conjugate heat transfer simulation of a Berea sandstone sample. The Mesh was extracted from an CT-image provided by Don...
Dual-network model(Universität Stuttgart)
Apr 29, 2021A02: Advanced modelling concepts for coupling free flow with porous-media flow
Simulation results and grid data.
Mar 25, 2021 - Partitioned Coupling Schemes for Free-Flow and Porous-Media Applications with Sharp Interfaces
Jaust, Alexander; Weishaupt, Kilian; Flemisch, Bernd; Schulte, Miriam, 2021, "Replication Data for: Partitioned Coupling Schemes for Free-Flow and Porous-Media Applications with Sharp Interfaces", https://doi.org/10.18419/darus-1644, DaRUS, V1
This repository contains simulation data used in https://doi.org/10.1007/978-3-030-43651-3_57 including the scripts for determining the errors presented in the publication. Additional results for Navier-Stokes flow has been added. Further information on the dataset, its structure...
Mar 16, 2021D02: Parallel numerical coupling methods for interface problems
This dataverse collects data and codes for coupling free flow and porous-media flow with DuMuX and preCICE. More specifically, the results have been presented in the publication: Jaust A., Weishaupt K., Mehl M., Flemisch B. (2020) Partitioned Coupling Schemes for Free-Flow and Po...
D02: Parallel numerical coupling methods for interface problems logo
Mar 16, 2021SFB 1313 "Interface-Driven Multi-Field Processes in Porous Media"
The aim of the project is to provide technical and numerical methods for the coupling of free flow and porous-media flow at the REV (representative elementary volume) scale. This involves the development of sophisticated methods in three basic coupling components: (i) iterative s...
Projects without PN Affiliation(Universität Stuttgart)
Mar 1, 2021Stuttgart Center for Simulation Science (SC SimTech)
This dataverse hosts data(-verses) without a project network affiliation.
Jan 13, 2021 - Microscale analysis
Weishaupt, Kilian, 2021, "High-resolution 3D Stokes reference solution for a free-flow channel over a structured porous domain", https://doi.org/10.18419/darus-782, DaRUS, V1
3D numerical reference for the setup described in https://doi.org/10.1063/1.5092169.
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