Bone‐tissue scaffolds intended for clinical use must provide both appropriate modulus and efficient mass transport, yet achieving these competing requirements within a single structure remains challenging. Triply periodic minimal surface (TPMS) scaffolds possess continuous curvature and interconnected pores, but their geometry is typically governed by implicit mathematical functions with limited tunable parameters, restricting systematic optimization of structure–property relationships. This study presents a multidirectional reconstruction strategy that redefines TPMS isosurfaces through direct functional modification and topological transformation, thereby enlarging the accessible design space. The approach enables precise control of pore interconnectivity, aperture size and unit morphology, offering independent adjustment of mechanical and transport characteristics. Reconstructed Gyroid (RG) scaffolds were fabricated as a model system to evaluate the method. Parametric studies demonstrate that reconstruction variables strongly influence both elastic modulus and permeability. To further exploit this expanded design freedom, an artificial-neural-network–assisted multi-objective particle swarm optimization framework was employed, allowing simultaneous optimization of strength and permeability. The optimized RG scaffolds achieved elastic moduli of 2.12–4.74 GPa and permeability of 6.17 × 10⁻⁹–9.62 × 10⁻⁸ m², values consistent with human trabecular bone. The proposed strategy provides a generalizable route for designing magnesium-alloy TPMS scaffolds with tunable mechanical and mass-transfer properties, supporting their application in load-bearing bone regeneration.
扫码关注我们
求助内容:
应助结果提醒方式:
