IDEAS home Printed from https://ideas.repec.org/a/eee/renene/v157y2020icp998-1007.html
   My bibliography  Save this article

A discrete element model simulation of structure and bonding at interfaces between cathode and cathode contact paste in solid oxide fuel cells

Author

Listed:
  • Wang, Chao
  • Xu, Zhijie
  • Koeppel, Brian

Abstract

For the first time, the impacts of solid oxide fuel cell (SOFC) cathode/contact paste interface roughness on mechanical strength are quantified using a particle based numerical technique in micro-scale. This work identifies a potential new direction to develop high strength SOFC stack structures to enhance SOFC long-term durability with most commonly used material. To model the effect of different interface roughness values on the integrity of the dissimilar material joint as well as the fracture behavior of the bonded interface, a discrete element model (DEM) method is adapted due to many unique advantages. The model demonstrates that interfacial toughness increases with interfacial roughness and sintering temperatures. In particular, the roughened interface can increase ultimate mechanical strength to a factor of 2–3 compared with the smooth interface. Moreover, contact paste with higher stiffness properties can be beneficial in terms of delaying the onset of the initial interfacial damage at rough interfaces. The results also show that toughness decreases with increasing strength ratio between the interface and contact paste. It is expected that this study can provide guidance to improve SOFC cathode design with better mechanical strengths, which would benefit the mechanical integrity of the SOFC stack.

Suggested Citation

  • Wang, Chao & Xu, Zhijie & Koeppel, Brian, 2020. "A discrete element model simulation of structure and bonding at interfaces between cathode and cathode contact paste in solid oxide fuel cells," Renewable Energy, Elsevier, vol. 157(C), pages 998-1007.
  • Handle: RePEc:eee:renene:v:157:y:2020:i:c:p:998-1007
    DOI: 10.1016/j.renene.2020.05.111
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0960148120308090
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.renene.2020.05.111?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Nassef, Ahmed M. & Fathy, Ahmed & Sayed, Enas Taha & Abdelkareem, Mohammad Ali & Rezk, Hegazy & Tanveer, Waqas Hassan & Olabi, A.G., 2019. "Maximizing SOFC performance through optimal parameters identification by modern optimization algorithms," Renewable Energy, Elsevier, vol. 138(C), pages 458-464.
    2. Chao Wang, 2016. "A Computational Analysis of Functionally Graded Anode in Solid Oxide Fuel Cell by Involving the Correlations of Microstructural Parameters," Energies, MDPI, vol. 9(6), pages 1-8, May.
    3. Xu, Zhijie & Xu, Wei & Stephens, Elizabeth & Koeppel, Brian, 2017. "Mechanical reliability and life prediction of coated metallic interconnects within solid oxide fuel cells," Renewable Energy, Elsevier, vol. 113(C), pages 1472-1479.
    4. Dong, Sang-Keun & Jung, Woo-Nam & Rashid, Kashif & Kashimoto, Akiyoshi, 2016. "Design and numerical analysis of a planar anode-supported SOFC stack," Renewable Energy, Elsevier, vol. 94(C), pages 637-650.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Zarabi Golkhatmi, Sanaz & Asghar, Muhammad Imran & Lund, Peter D., 2022. "A review on solid oxide fuel cell durability: Latest progress, mechanisms, and study tools," Renewable and Sustainable Energy Reviews, Elsevier, vol. 161(C).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Olabi, A.G. & Wilberforce, Tabbi & Abdelkareem, Mohammad Ali, 2021. "Fuel cell application in the automotive industry and future perspective," Energy, Elsevier, vol. 214(C).
    2. Liu, Lijun & Qian, Jin & Hua, Li & Zhang, Bin, 2022. "System estimation of the SOFCs using fractional-order social network search algorithm," Energy, Elsevier, vol. 255(C).
    3. Abdul Ghani Olabi & Nabila Shehata & Hussein M. Maghrabie & Lobna A. Heikal & Mohammad Ali Abdelkareem & Shek Mohammod Atiqure Rahman & Sheikh Khaleduzzaman Shah & Enas Taha Sayed, 2022. "Progress in Solar Thermal Systems and Their Role in Achieving the Sustainable Development Goals," Energies, MDPI, vol. 15(24), pages 1-31, December.
    4. Enas Taha Sayed & Hegazy Rezk & Abdul Ghani Olabi & Mohamed R. Gomaa & Yahia B. Hassan & Shek Mohammad Atiqure Rahman & Sheikh Khaleduzzaman Shah & Mohammad Ali Abdelkareem, 2022. "Application of Artificial Intelligence to Improve the Thermal Energy and Exergy of Nanofluid-Based PV Thermal/Nano-Enhanced Phase Change Material," Energies, MDPI, vol. 15(22), pages 1-13, November.
    5. Gong, Chengyuan & Tu, Zhengkai & Hwa Chan, Siew, 2023. "A novel flow field design with flow re-distribution for advanced thermal management in Solid oxide fuel cell," Applied Energy, Elsevier, vol. 331(C).
    6. Fathy, Ahmed & Rezk, Hegazy, 2022. "Political optimizer based approach for estimating SOFC optimal parameters for static and dynamic models," Energy, Elsevier, vol. 238(PC).
    7. Yang, Bo & Guo, Zhengxun & Yang, Yi & Chen, Yijun & Zhang, Rui & Su, Keyi & Shu, Hongchun & Yu, Tao & Zhang, Xiaoshun, 2021. "Extreme learning machine based meta-heuristic algorithms for parameter extraction of solid oxide fuel cells," Applied Energy, Elsevier, vol. 303(C).
    8. Rezk, Hegazy & Olabi, A.G. & Ferahtia, Seydali & Sayed, Enas Taha, 2022. "Accurate parameter estimation methodology applied to model proton exchange membrane fuel cell," Energy, Elsevier, vol. 255(C).
    9. Farnak, M. & Esfahani, J.A. & Bozorgmehri, S., 2020. "An experimental design of the solid oxide fuel cell performance by using partially oxidation reforming of natural gas," Renewable Energy, Elsevier, vol. 147(P1), pages 155-163.
    10. Tanaka, T. & Inui, Y. & Pongratz, G. & Subotić, V. & Hochenauer, C., 2021. "Numerical investigation on the performance and detection of an industrial-sized planar solid oxide fuel cell with fuel gas leakage," Applied Energy, Elsevier, vol. 285(C).
    11. Shi, Hao & Xu, Huining & Tan, Yiqiu & Li, Qiang & Yi, Wei, 2022. "Multi-objective optimization of operation strategy in snow melting system for airfield runway using genetic algorithm: A case study in Beijing Daxing International Airport," Renewable Energy, Elsevier, vol. 201(P2), pages 100-116.
    12. Keyvan Karamnejadi Azar & Armin Kakouee & Morteza Mollajafari & Ali Majdi & Noradin Ghadimi & Mojtaba Ghadamyari, 2022. "Developed Design of Battle Royale Optimizer for the Optimum Identification of Solid Oxide Fuel Cell," Sustainability, MDPI, vol. 14(16), pages 1-18, August.
    13. Fathy, Ahmed & Rezk, Hegazy & Mohamed Ramadan, Haitham Saad, 2020. "Recent moth-flame optimizer for enhanced solid oxide fuel cell output power via optimal parameters extraction process," Energy, Elsevier, vol. 207(C).
    14. Olabi, A.G. & Abdelkareem, Mohammad Ali & Wilberforce, Tabbi & Sayed, Enas Taha, 2021. "Application of graphene in energy storage device – A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 135(C).
    15. Abdelkareem, Mohammad Ali & Sayed, Enas Taha & Nakagawa, Nobuyoshi, 2020. "Significance of diffusion layers on the performance of liquid and vapor feed passive direct methanol fuel cells," Energy, Elsevier, vol. 209(C).
    16. Wang, Erlei & Xia, Jiangying & Li, Jia & Sun, Xianke & Li, Hao, 2022. "Parameters exploration of SOFC for dynamic simulation using adaptive chaotic grey wolf optimization algorithm," Energy, Elsevier, vol. 261(PA).
    17. Fathy, Ahmed & Babu, Thanikanti Sudhakar & Abdelkareem, Mohammad Ali & Rezk, Hegazy & Yousri, Dalia, 2022. "Recent approach based heterogeneous comprehensive learning Archimedes optimization algorithm for identifying the optimal parameters of different fuel cells," Energy, Elsevier, vol. 248(C).
    18. Li, Changzhi & Lin, Wei & Wu, Hangyu & Li, Yang & Zhu, Wenchao & Xie, Changjun & Gooi, Hoay Beng & Zhao, Bo & Zhang, Leiqi, 2023. "Performance degradation decomposition-ensemble prediction of PEMFC using CEEMDAN and dual data-driven model," Renewable Energy, Elsevier, vol. 215(C).
    19. Hegazy Rezk & Ahmed Fathy, 2020. "Stochastic Fractal Search Optimization Algorithm Based Global MPPT for Triple-Junction Photovoltaic Solar System," Energies, MDPI, vol. 13(18), pages 1-28, September.
    20. Ashraf, Muhammad Adeel & Rashid, Kashif & Rahimipetroudi, Iman & Kim, Hyeon Jin & Dong, Sang Keun, 2020. "Analyzing different planar biogas-fueled SOFC stack designs and their effects on the flow uniformity," Energy, Elsevier, vol. 190(C).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:renene:v:157:y:2020:i:c:p:998-1007. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/renewable-energy .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.