Geometry-Based Computational Fluid Dynamic Model for Predicting the Biological Behavior of Bone Tissue Engineering...

Area of Science:

• Biomaterials Science
• Tissue Engineering
• Computational Fluid Dynamics

Background:

• Additive manufacturing enables the creation of porous scaffolds for tissue engineering.
• Scaffold geometry, including pore size and distribution, critically influences biological performance.
• Understanding fluid flow dynamics is essential for nutrient/oxygen transport and waste removal in engineered tissues.

Purpose of the Study:

• To investigate the impact of scaffold architecture, pore size, and distribution on biological performance using Computational Fluid Dynamics (CFD).
• To evaluate how different scaffold designs affect fluid flow dynamics and wall shear stresses (WSS).

Main Methods:

• Computational Fluid Dynamics (CFD) simulations were employed.
• Two scaffold designs were analyzed: uniform rectangular scaffolds with square pores (300-450 µm) and anatomically designed circular scaffolds with a bone-like structure and pore size gradient (476-979 µm).
• Blood flow velocities (BFV) and resulting wall shear stresses (WSS) were calculated, considering WSS > 30 mPa is detrimental to cell growth.

Main Results:

• Anatomically designed scaffolds with a pore size gradient exhibited superior fluid flow conditions compared to uniform rectangular scaffolds.
• The anatomically designed scaffolds showed a potential 24.21% improvement in biological performance.
• Numerical findings correlate with existing biological study outcomes.

Conclusions:

• Scaffold architecture significantly impacts fluid flow and biological performance in tissue engineering.
• Anatomically designed scaffolds with gradient pore structures offer enhanced conditions for cell viability and tissue regeneration.
• CFD is a valuable tool for optimizing scaffold design in tissue engineering applications.