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Influence of PPD and Mass Scaling Parameter on the Goodness of Fit of Dry Ice Compaction Curve Obtained in Numerical Simulations Utilizing Smoothed Particle Method (SPH) for Improving the Energy Efficiency of Dry Ice Compaction Process

Author

Listed:
  • Jan Górecki

    (Faculty of Mechanical Engineering, Institute of Machine Design, Poznan University of Technology, 60-965 Poznań, Poland)

  • Maciej Berdychowski

    (Faculty of Mechanical Engineering, Institute of Machine Design, Poznan University of Technology, 60-965 Poznań, Poland)

  • Elżbieta Gawrońska

    (Faculty of Mechanical Engineering and Computer Science, Czestochowa University of Technology, Dabrowskiego 69, 42-201 Czestochowa, Poland)

  • Krzysztof Wałęsa

    (Faculty of Mechanical Engineering, Institute of Machine Design, Poznan University of Technology, 60-965 Poznań, Poland)

Abstract

The urgent need to reduce industrial electricity consumption due to diminishing fossil fuels and environmental concerns drives the pursuit of energy-efficient production processes. This study addresses this challenge by investigating the Smoothed Particle Method (SPH) for simulating dry ice compaction, an intricate process poorly addressed by conventional methods. The Finite Element Method (FEM) and SPH have been dealt with by researchers, yet a gap persists regarding SPH mesh parameters’ influence on the empirical curve fit. This research systematically explores Particle Packing Density (PPD) and Mass Scaling (MS) effects on the agreement between simulation and experimental outputs. The Sum of Squared Errors (SSE) method was used for this assessment. By comparing the obtained FEM and SPH results under diverse PPD and MS settings, this study sheds light on the SPH method’s potential in optimizing the dry ice compaction process’s efficiency. The SSE based analyses showed that the goodness of fit did not vary considerably for PDD values of 4 and up. In the case of MS, a better fit was obtained for its lower values. In turn, for the ultimate compression force F C , an empirical curve fit was obtained for PDD values of 4 and up. That said, the value of MS had no significant bearing on the ultimate compression force F C . The insights gleaned from this research can largely improve the existing sustainability practices and process design in various energy-conscious industries.

Suggested Citation

  • Jan Górecki & Maciej Berdychowski & Elżbieta Gawrońska & Krzysztof Wałęsa, 2023. "Influence of PPD and Mass Scaling Parameter on the Goodness of Fit of Dry Ice Compaction Curve Obtained in Numerical Simulations Utilizing Smoothed Particle Method (SPH) for Improving the Energy Effic," Energies, MDPI, vol. 16(20), pages 1-12, October.
    • Handle: RePEc:gam:jeners:v:16:y:2023:i:20:p:7194-:d:1264723
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    References listed on IDEAS

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    1. Li, Lin & Gu, Zeheng & Xu, Weixin & Tan, Yunfeng & Fan, Xinghua & Tan, Dapeng, 2023. "Mixing mass transfer mechanism and dynamic control of gas-liquid-solid multiphase flow based on VOF-DEM coupling," Energy, Elsevier, vol. 272(C).
    2. Dominik Wilczyński & Krzysztof Talaśka & Dominik Wojtkowiak & Krzysztof Wałęsa & Szymon Wojciechowski, 2022. "Selection of the Electric Drive for the Wood Waste Compacting Unit," Energies, MDPI, vol. 15(20), pages 1-20, October.
    3. Lohri, Christian Riuji & Rajabu, Hassan Mtoro & Sweeney, Daniel J. & Zurbrügg, Christian, 2016. "Char fuel production in developing countries – A review of urban biowaste carbonization," Renewable and Sustainable Energy Reviews, Elsevier, vol. 59(C), pages 1514-1530.
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