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Efficient Multi-Objective CFD-Based Optimization Method for a Scroll Distributor

Author

Listed:
  • Damian Obidowski

    (Institute of Turbomachinery, Lodz University of Technology, 90-924 Lodz, Poland)

  • Mateusz Stajuda

    (Institute of Turbomachinery, Lodz University of Technology, 90-924 Lodz, Poland)

  • Krzysztof Sobczak

    (Institute of Turbomachinery, Lodz University of Technology, 90-924 Lodz, Poland)

Abstract

An efficient approach to the geometry optimization problem of a non-axisymmetric flow channel is discussed. The method combines geometrical transformation with a computational fluid dynamics solver, a multi-objective genetic algorithm, and a response surface. This approach, through geometrical modifications and simplifications allows transforming a non-axisymmetric problem into the axisymmetric one in some specific devices i.e., a scroll distributor or a volute. It results in a significant decrease in the problem size, as only the flow in a quasi-2D section of the channel is solved. A significantly broader design space is covered in a much shorter time than in the standard method, and the optimization of large flow problems is feasible with desktop-class computers. One computational point is obtained approximately eight times faster than in full geometry computations. The method was applied to a scroll distributor. For the case under analysis, it was possible to increase flow uniformity, eradicate separation zones, and increase the overall efficiency, which was followed by energy savings of 16% for the scroll. The results indicate that this method can be successfully applied for the optimization of similar problems.

Suggested Citation

  • Damian Obidowski & Mateusz Stajuda & Krzysztof Sobczak, 2021. "Efficient Multi-Objective CFD-Based Optimization Method for a Scroll Distributor," Energies, MDPI, vol. 14(2), pages 1-20, January.
    • Handle: RePEc:gam:jeners:v:14:y:2021:i:2:p:377-:d:478633
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    References listed on IDEAS

    as
    1. Krzysztof Sobczak & Damian Obidowski & Piotr Reorowicz & Emil Marchewka, 2020. "Numerical Investigations of the Savonius Turbine with Deformable Blades," Energies, MDPI, vol. 13(14), pages 1-20, July.
    2. Tüchler, Stefan & Chen, Zhihang & Copeland, Colin D., 2018. "Multipoint shape optimisation of an automotive radial compressor using a coupled computational fluid dynamics and genetic algorithm approach," Energy, Elsevier, vol. 165(PA), pages 543-561.
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    Cited by:

    1. Piotr Bogusław Jasiński & Michał Jan Kowalczyk & Artur Romaniak & Bartosz Warwas & Damian Obidowski & Artur Gutkowski, 2021. "Investigation of Thermal-Flow Characteristics of Pipes with Helical Micro-Fins of Variable Height," Energies, MDPI, vol. 14(8), pages 1-18, April.
    2. Sayantan Mukherjee & Nawaf F. Aljuwayhel & Sasmita Bal & Purna Chandra Mishra & Naser Ali, 2022. "Modelling, Analysis and Entropy Generation Minimization of Al 2 O 3 -Ethylene Glycol Nanofluid Convective Flow inside a Tube," Energies, MDPI, vol. 15(9), pages 1-24, April.

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