<p>Triply periodic minimal surface (TPMS) structures are increasingly utilized in filters and static mixers due to their intricate geometries, which enhance filtration and mixing performance. Optimizing fluid flow within these structures remains a critical challenge for improving their effectiveness in engineering applications. The objective of this study is to investigate the influence of the angle of attack of the TPMS structure on the flow characteristics of air for the optimal design of filter and static mixer. This study employs computational fluid dynamics (CFD) to investigate the influence of angle of attack on airflow characteristics in TPMS-based structures, focusing on Primitive, Gyroid, and Diamond configurations. Using Pareto-optimal techniques, the optimal TPMS structure and angle of attack were determined to maximize permeability and vorticity while minimizing mean velocity. CFD simulations analyzed airflow across angles of attack from 0° to 90°. The Pareto front analysis identified the Diamond TPMS structure with a 20° clockwise rotation (θ<sub>x,1</sub>) as optimal, achieving high permeability (2.8 × 10 <sup>-9</sup> m²), balanced vorticity (1.387 × 10³ s⁻¹), and low mean velocity (1.17 m/s). These results provide a foundation for designing advanced TPMS-based fluid filters and static mixers, offering improved performance through optimization<i>.</i></p>

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Influence of Angle of Attack for Triply Periodic Minimal Surface Structure on the Flow Characteristics of Air for Optimal Design of Filter and Static Mixer

  • Gideon Simon Mduma,
  • Dong-Gyu Ahn,
  • Young Dal Jeong

摘要

Triply periodic minimal surface (TPMS) structures are increasingly utilized in filters and static mixers due to their intricate geometries, which enhance filtration and mixing performance. Optimizing fluid flow within these structures remains a critical challenge for improving their effectiveness in engineering applications. The objective of this study is to investigate the influence of the angle of attack of the TPMS structure on the flow characteristics of air for the optimal design of filter and static mixer. This study employs computational fluid dynamics (CFD) to investigate the influence of angle of attack on airflow characteristics in TPMS-based structures, focusing on Primitive, Gyroid, and Diamond configurations. Using Pareto-optimal techniques, the optimal TPMS structure and angle of attack were determined to maximize permeability and vorticity while minimizing mean velocity. CFD simulations analyzed airflow across angles of attack from 0° to 90°. The Pareto front analysis identified the Diamond TPMS structure with a 20° clockwise rotation (θx,1) as optimal, achieving high permeability (2.8 × 10 -9 m²), balanced vorticity (1.387 × 10³ s⁻¹), and low mean velocity (1.17 m/s). These results provide a foundation for designing advanced TPMS-based fluid filters and static mixers, offering improved performance through optimization.