<p>Effective CO<sub>2</sub> capture is critical for mitigating climate change, necessitating adsorbents that balance high surface area, permeability, and low pressure drop. The objective of this study is to investigate the effect of the strut diameter of non-stochastic cells on flow characteristics. This study employs Pareto optimization to design optimal strut-based lattice unit cells (body-centered cubic (BCC), face-centered cubic (FCC), and hybrid BCC &amp; FCC) for adsorption-based CO<sub>2</sub> capture, addressing the trade-offs between surface-to-volume ratio, permeability, and pressure change. Nine configurations with strut diameters of 0.4&#xa0;mm, 0.45&#xa0;mm, and 0.5&#xa0;mm were analyzed using a MATLAB-based Pareto optimization algorithm, with data sourced from computational simulations. The Pareto front was visualized in 3D and 2D plots, with points color-coded by strut diameter (0.4: blue, 0.45: green, 0.5: red) and shaped by unit cell type (BCC: circle, FCC: square, BCC &amp; FCC: triangle). A weighted scoring method (0.4 for surface-to-volume ratio, 0.4 for permeability, 0.2 for pressure change) identified the optimal configuration. The BCC unit cell with a 0.4&#xa0;mm strut diameter emerged as optimal, achieving a surface-to-volume ratio of 1.394 × 10<sup>4</sup>&#xa0;m<sup>−1</sup>, permeability of 5.625 × 10<sup>–9</sup> m<sup>2</sup>, and pressure change of 7.26&#xa0;Pa.</p>

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Investigation of the Effects of the Strut Diameter of Non-Stochastic Cells on Flow Characteristics

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

摘要

Effective CO2 capture is critical for mitigating climate change, necessitating adsorbents that balance high surface area, permeability, and low pressure drop. The objective of this study is to investigate the effect of the strut diameter of non-stochastic cells on flow characteristics. This study employs Pareto optimization to design optimal strut-based lattice unit cells (body-centered cubic (BCC), face-centered cubic (FCC), and hybrid BCC & FCC) for adsorption-based CO2 capture, addressing the trade-offs between surface-to-volume ratio, permeability, and pressure change. Nine configurations with strut diameters of 0.4 mm, 0.45 mm, and 0.5 mm were analyzed using a MATLAB-based Pareto optimization algorithm, with data sourced from computational simulations. The Pareto front was visualized in 3D and 2D plots, with points color-coded by strut diameter (0.4: blue, 0.45: green, 0.5: red) and shaped by unit cell type (BCC: circle, FCC: square, BCC & FCC: triangle). A weighted scoring method (0.4 for surface-to-volume ratio, 0.4 for permeability, 0.2 for pressure change) identified the optimal configuration. The BCC unit cell with a 0.4 mm strut diameter emerged as optimal, achieving a surface-to-volume ratio of 1.394 × 104 m−1, permeability of 5.625 × 10–9 m2, and pressure change of 7.26 Pa.