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A Novel Topology Optimization Approach for Flow Power Loss Minimization Across Fin Arrays

Author

Listed:
  • Ali Ghasemi

    (Department of Mechanical Engineering, Technical University of Braunschweig, Hermann-Blenk-Str. 35, D-38108 Braunschweig, Germany)

  • Ali Elham

    (Department of Mechanical Engineering, Technical University of Braunschweig, Hermann-Blenk-Str. 35, D-38108 Braunschweig, Germany)

Abstract

Fin arrays are widely utilized in many engineering applications, such as heat exchangers and micro-post reactors, for higher level of fluid–solid contacts. However, high fluid pressure loss is reportedly the major drawback of fin arrays and a challenge for pumping supply, particularly at micro-scales. Previous studies also indicate that fin shapes, spacing and alignment play an important role on the overall pressure losses. Therefore, we present a numerical tool to minimize pressure losses, considering the geometrical aspects related to fin arrays. In this regard, a density-based topology optimization approach is developed based on the pseudo-spectral scheme and Brinkman penalization in 2D periodic domains. Discrete sensitives are derived analytically and computed at relatively low cost using a factorization technique. We study different test cases to demonstrate the flexibility, robustness and accuracy of the present tool. In-line and staggered arrays are considered at various Reynolds numbers and fluid–solid volume fractions. The optimal topologies interestingly indicate a pressure loss reduction of nearly 53.6 % compared to circular fins. In passive optimization test examples, the added solid parts reduced pressure loss of a circular fin ( 9 % ) by eliminating the flow separation and filling the wake region.

Suggested Citation

  • Ali Ghasemi & Ali Elham, 2020. "A Novel Topology Optimization Approach for Flow Power Loss Minimization Across Fin Arrays," Energies, MDPI, vol. 13(8), pages 1-20, April.
  • Handle: RePEc:gam:jeners:v:13:y:2020:i:8:p:1987-:d:346833
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    Cited by:

    1. Kirttayoth Yeranee & Yu Rao & Li Yang & Hao Li, 2022. "Improved Thermal Performance of a Serpentine Cooling Channel by Topology Optimization Infilled with Triply Periodic Minimal Surfaces," Energies, MDPI, vol. 15(23), pages 1-23, November.

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