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Application of Artificial Neural Network (ANN) for Calculations of Pressure–Concentration–Temperature (PCT) Diagrams in Hydrogen – Metal Hydride Systems

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Advances in Mechanical and Power Engineering (CAMPE 2021)

Part of the book series: Lecture Notes in Mechanical Engineering ((LNME))

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Abstract

MATLAB Neural Network (NN) toolbox was used to obtain relations between pressure, temperature, and concentration in a metal hydride. In previous simulations of heat and mass transfer in metal hydride containers PCT calculations based on semi-empirical models and first principles models took significant time. The advantage of using NN to predict PCT curve instead of traditional models is the shorter computational time. The integration of MATLAB Neural Network Toolbox and COMSOL software allows to speed up simulations.

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Acknowledgements

This work is funded by the South African Department of Science and Innovation (DSI), within Hydrogen South Africa research, development and innovation strategy (HySA); Key Programme KP6 “MH materials and technologies”. ML also acknowledges support of South African National Research Foundation; grant number 132454.

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Authors and Affiliations

  1. Department of Chemical and Metallurgical Engineering, Tshwane University of Technology, Pretoria, 0183, South Africa

    Ziphezinhle Khethiwe Simelane & Andrei Kolesnikov

  2. HySA Systems Competence Center, South African Institute for Advanced Materials Chemistry, University of Western Cape, Bellville, 7535, South Africa

    Mykhaylo Lototskyy

Authors
  1. Ziphezinhle Khethiwe Simelane
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  2. Andrei Kolesnikov
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  3. Mykhaylo Lototskyy
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Corresponding author

Correspondence to Andrei Kolesnikov .

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Editors and Affiliations

  1. Fakultät für Maschinenbau, G10/58, Otto-von-Guericke-Universität, Magdeburg, Germany

    Holm Altenbach

  2. School of Engineering, University of Mississippi, Oxford, MS, USA

    Alexander H.-D. Cheng

  3. School of Aeronautics and Astronautics, Dalian University of Technology, Dalian, China

    **ao-Wei Gao

  4. A. Pidhornyi Institute of Mechanical Engineering Problems of the National Academy of Sciences of Ukraine, Kharkiv, Ukraine

    Аndrii Kostikov

  5. Institute of Fluid-Flow Machinery, Lodz University of Technology, Lodz, Poland

    Wladyslaw Kryllowicz

  6. The Szewalski Institute of fluid-flow machinery of Polish Academy of Sciences, Gdansk, Poland

    Piotr Lampart

  7. Ascend Technologies Limited, Eastleigh, UK

    Viktor Popov

  8. A. Pidhornyi Institute of Mechanical Engineering Problems of the National Academy of Sciences of Ukraine, Kharkiv, Ukraine

    Andrii Rusanov

  9. Wessex Institute of Technology, Southampton, UK

    Stavros Syngellakis

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Simelane, Z.K., Kolesnikov, A., Lototskyy, M. (2023). Application of Artificial Neural Network (ANN) for Calculations of Pressure–Concentration–Temperature (PCT) Diagrams in Hydrogen – Metal Hydride Systems. In: Altenbach, H., et al. Advances in Mechanical and Power Engineering . CAMPE 2021. Lecture Notes in Mechanical Engineering. Springer, Cham. https://doi.org/10.1007/978-3-031-18487-1_14

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  • DOI: https://doi.org/10.1007/978-3-031-18487-1_14

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-18486-4

  • Online ISBN: 978-3-031-18487-1

  • eBook Packages: EngineeringEngineering (R0)

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