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Challenges in computational fluid dynamics applications for bone tissue engineering.

Tiago Pires¹, John W C Dunlop², Paulo Rui Fernandes¹

¹IDMEC, Instituto Superior Técnico, Universidade de Lisboa, Lisboa, Portugal.

Proceedings. Mathematical, Physical, and Engineering Sciences

|February 14, 2022

Summary

This summary is machine-generated.

Computational fluid dynamics (CFD) aids bone tissue engineering (BTE) scaffold design by analyzing fluid flow and mechanical properties. However, optimizing one property often compromises another, limiting current applications.

Keywords:

biomechanics bone tissue engineering computational fluid dynamics optimization scaffolds

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Area of Science:

Biomaterials Science
Biomedical Engineering
Computational Mechanics

Background:

Bone injuries and defects present significant clinical challenges, necessitating advanced therapeutic strategies.
Bone tissue engineering (BTE) aims to develop functional bone substitutes, with scaffold design being a critical factor.
Computational Fluid Dynamics (CFD) is increasingly explored to optimize scaffold architecture for enhanced bone regeneration.

Purpose of the Study:

To provide a comprehensive review of recent research utilizing CFD analysis in bone tissue engineering.
To identify current trends, limitations, and future directions in CFD-assisted BTE scaffold design.

Main Methods:

Systematic literature review of studies employing CFD analysis for BTE scaffold design.
Analysis of the interplay between scaffold architecture, mechanical properties, and fluid dynamics.
Evaluation of reported scaffold applications and integration with optimization techniques.

Main Results:

CFD analysis is a valuable tool for optimizing BTE scaffolds, influencing both fluidic and mechanical properties.
A trade-off exists between scaffold permeability and wall shear stress, requiring careful design considerations.
Limited studies specify scaffold applications, with most focusing on in vitro bioreactor environments.

Conclusions:

Integrating CFD with optimization methods is crucial for developing next-generation BTE scaffolds.
Further research is needed to bridge the gap between computational design and specific clinical applications.
Addressing the coupled mechanical and fluidic properties is essential for effective scaffold development.