Publication type: Conference other
Type of review: Not specified
Title: Generation of virtual three-phase structures based on Gaussian random fields : an important option for Digital Materials Design of solid oxide fuel cell electrodes
Authors: Marmet, Philip
Holzer, Lorenz
Hocker, Thomas
Boiger, Gernot Kurt
Hilden, Janine
Reeb, Sarah
Fingerle, Mathias
et. al: No
Proceedings: GeoDict User Meeting 2021 Book of Abstracts
Page(s): 22
Conference details: 10. GeoDict User Meeting, online, 4.-8. Oktober 2021
Issue Date: 6-Oct-2021
Publisher / Ed. Institution: Math2Market
Publisher / Ed. Institution: Kaiserslautern
Language: English
Subjects: SOFC; Digital Materials Design; Virtual materials testing; Microstructure; Simulation; Effective property
Subject (DDC): 621.3: Electrical, communications, control engineering
Abstract: Digital Materials Design (DMD) is a modern approach for model-based material optimization and can be applied to optimize electrodes for solid oxide fuel cells (SOFC). Therefore a combination of stochastic microstructure modelling, virtual testing of 3D microstructures and a multiphysics electrode model provides a good basis for data driven microstructure optimization. The software GeoDict enables studying hundreds of different microstructures in an automated workflow for the generation, simulation and characterization of virtual microstructures. In this context, an appropriate structure generator is needed, which enables efficient creation of virtual microstructures with realistic properties by means of stochastic parameter variations. SOFC electrodes are typically three phase systems with a pore space and two solid phases like the common Ni-YSZ anodes. Normally, they are strongly sintered, resulting in continuous phase networks and can hardly be represented by sphere or particle packing methods. Those generally yield in a microstructure that keeps the geometry of the initial spheres/particles. The structure generation based on Gaussian random fields is an alternative approach, which provides continuous phase networks from the outset. This approach was introduced for the application of SOFC electrodes by Moussaoui et al. In order to obtain a closed workflow with microstructure generation and characterization, we have now implemented the approach in GeoDict. Thereby, two truncated gaussian random fields are constructed, one for each solid phase. The gaussian random fields are characterized by their covariance function, and can be fitted to covariance functions of 3D tomographs of real samples. Using appropriate threshold operations, the solid volume fractions and the wetting behaviour of the phases can be adjusted. The remaining space is considered as the pore phase. Therewith, many different microstructures can be deduced from one set of two gaussian random fields. The resulting virtual microstructures can be characterized by numerical transport simulations and morphological analysis using GeoDict. Therewith, it can be ensured, that the virtual structure shows the right characteristics regarding the relevant physical effects. The most relevant microstructure parameters for the common Ni-YSZ fuel electrodes are the relative conductivities of both phases, the specific length of the three phase boundaries and the gas transport in the pore phase. The last one is governed by bulk and Knudsen diffusion. Using a multiphysics electrode model, the microstructure properties can be linked to the cell performance. If an appropriate digital twin is found, the microstructure parameters can be varied in a realistic way. However, long computing times and the lack of available computational resources usually put strong limitations for extensive parameter sweeps. With the GeoDict Cloud, hundreds of virtual microstructures can be studied in parallel in a very short time using massive simultaneous cloud computing (MSCC) powered by KaleidoSim. The statistical analysis of these results leads to new design guidelines for electrodes with improved properties.
Further description: YouTube-link for the recorded presentation: https://youtu.be/AIROVKq5yoc
URI: https://www.math2market.de/fileadmin/CONTENT_files/News/Events/GeoDict_UserMeeting-and-Workshops/2021-GeoDict-UserMeeting/2021_Book-of-Abstracts.pdf
https://youtu.be/AIROVKq5yoc
https://digitalcollection.zhaw.ch/handle/11475/23464
Fulltext version: Published version
License (according to publishing contract): Licence according to publishing contract
Departement: School of Engineering
Organisational Unit: Institute of Computational Physics (ICP)
Published as part of the ZHAW project: Versatile oxide fuel cell microstructures employing WGS active titanate anode current collectors compatible to ferritic stainless steel interconnects (VOLTA)
Appears in collections:Publikationen School of Engineering

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Marmet, P., Holzer, L., Hocker, T., Boiger, G. K., Hilden, J., Reeb, S., & Fingerle, M. (2021). Generation of virtual three-phase structures based on Gaussian random fields : an important option for Digital Materials Design of solid oxide fuel cell electrodes [Conference presentation]. GeoDict User Meeting 2021 Book of Abstracts, 22. https://www.math2market.de/fileadmin/CONTENT_files/News/Events/GeoDict_UserMeeting-and-Workshops/2021-GeoDict-UserMeeting/2021_Book-of-Abstracts.pdf
Marmet, P. et al. (2021) ‘Generation of virtual three-phase structures based on Gaussian random fields : an important option for Digital Materials Design of solid oxide fuel cell electrodes’, in GeoDict User Meeting 2021 Book of Abstracts. Kaiserslautern: Math2Market, p. 22. Available at: https://www.math2market.de/fileadmin/CONTENT_files/News/Events/GeoDict_UserMeeting-and-Workshops/2021-GeoDict-UserMeeting/2021_Book-of-Abstracts.pdf.
P. Marmet et al., “Generation of virtual three-phase structures based on Gaussian random fields : an important option for Digital Materials Design of solid oxide fuel cell electrodes,” in GeoDict User Meeting 2021 Book of Abstracts, Oct. 2021, p. 22. [Online]. Available: https://www.math2market.de/fileadmin/CONTENT_files/News/Events/GeoDict_UserMeeting-and-Workshops/2021-GeoDict-UserMeeting/2021_Book-of-Abstracts.pdf
MARMET, Philip, Lorenz HOLZER, Thomas HOCKER, Gernot Kurt BOIGER, Janine HILDEN, Sarah REEB und Mathias FINGERLE, 2021. Generation of virtual three-phase structures based on Gaussian random fields : an important option for Digital Materials Design of solid oxide fuel cell electrodes. In: GeoDict User Meeting 2021 Book of Abstracts [online]. Conference presentation. Kaiserslautern: Math2Market. 6 Oktober 2021. S. 22. Verfügbar unter: https://www.math2market.de/fileadmin/CONTENT_files/News/Events/GeoDict_UserMeeting-and-Workshops/2021-GeoDict-UserMeeting/2021_Book-of-Abstracts.pdf
Marmet, Philip, Lorenz Holzer, Thomas Hocker, Gernot Kurt Boiger, Janine Hilden, Sarah Reeb, and Mathias Fingerle. 2021. “Generation of Virtual Three-Phase Structures Based on Gaussian Random Fields : An Important Option for Digital Materials Design of Solid Oxide Fuel Cell Electrodes.” Conference presentation. In GeoDict User Meeting 2021 Book of Abstracts, 22. Kaiserslautern: Math2Market. https://www.math2market.de/fileadmin/CONTENT_files/News/Events/GeoDict_UserMeeting-and-Workshops/2021-GeoDict-UserMeeting/2021_Book-of-Abstracts.pdf.
Marmet, Philip, et al. “Generation of Virtual Three-Phase Structures Based on Gaussian Random Fields : An Important Option for Digital Materials Design of Solid Oxide Fuel Cell Electrodes.” GeoDict User Meeting 2021 Book of Abstracts, Math2Market, 2021, p. 22, https://www.math2market.de/fileadmin/CONTENT_files/News/Events/GeoDict_UserMeeting-and-Workshops/2021-GeoDict-UserMeeting/2021_Book-of-Abstracts.pdf.


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