Design of Biomimetic Porous Scaffolds for Bone Tissue Engineering

IF 2.7 3区 工程技术 Q3 ENGINEERING, CHEMICAL Transport in Porous Media Pub Date : 2024-04-03 DOI:10.1007/s11242-024-02082-z
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Abstract

The fluid flow dynamics on the porous scaffolds and their static responses on the adjacent bone are very crucial parameters for bone adaptation. Researchers are trying to develop different algorithms to design biomimetic porous scaffolds incorporating bone tissue engineering. In this present work, three types of biomimetic heterogeneous porous scaffolds (HPS) were designed with the help of the Voronoi tessellation method and Swarm Intelligence and those were analysed under fluid perfusion as well as under static loading conditions. In computational fluid dynamics (CFD) analysis, the wall shear stress (WSS) and the permeability of the porous scaffolds were compared to the natural trabecular bone to understand their hydrodynamic responses. In static analysis, the von Mises stresses of the Ti6Al4V scaffolds were checked to ensure no-yield condition. The strain energy density (SED) distributions were also studied on the neighbouring bone region of the femur greater trochanter to obtain stress shielding (SS) patterns and these findings were then compared with the natural trabecular bone at the same anatomical region. The outcome parameters, viz. the induced WSS, von Mises stress, the permeability, and SS of the scaffold, are found to be independent of the scaffold architecture. The von Mises stress and permeability increased with an increase in porosities, while the induced WSS and SS nature of the scaffolds showed the reverse trend. The results showed that the HPS designed based on the Swarm Intelligence incorporating Physarum Polycephalum algorithm offered the least SS level of 41.096 for 75% porous HPS, which may be considered the most promising result. Considering all the parameters, the novel designed scaffold based on Swarm Intelligence showed the most trabecular bone mimicking nature compared to the other scaffolds.

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设计用于骨组织工程的仿生多孔支架
摘要 多孔支架上的流体流动动力学及其对邻近骨骼的静态响应是骨骼适应性的关键参数。研究人员正试图开发不同的算法来设计结合骨组织工程的仿生多孔支架。在本研究中,利用 Voronoi 网格法和蜂群智能法设计了三种仿生异质多孔支架(HPS),并在流体灌注和静态加载条件下对其进行了分析。在计算流体动力学(CFD)分析中,多孔支架的壁剪应力(WSS)和渗透性与天然骨小梁进行了比较,以了解它们的流体动力响应。在静态分析中,检查了 Ti6Al4V 支架的 von Mises 应力,以确保无屈服状态。还研究了股骨大转子邻近骨区的应变能密度(SED)分布,以获得应力屏蔽(SS)模式,然后将这些结果与同一解剖区域的天然骨小梁进行比较。结果参数,即支架的诱导 WSS、von Mises 应力、渗透性和 SS,与支架结构无关。冯米斯应力和渗透性随着孔隙率的增加而增加,而支架的诱导 WSS 和 SS 性质则呈现相反的趋势。结果表明,对于 75% 多孔 HPS 而言,基于蜂群智能(Swarm Intelligence)结合多孔体算法设计的 HPS 的 SS 水平最低,为 41.096,可视为最有前途的结果。考虑到所有参数,与其他支架相比,基于蜂群智能设计的新型支架显示出最大的骨小梁模拟特性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Transport in Porous Media
Transport in Porous Media 工程技术-工程:化工
CiteScore
5.30
自引率
7.40%
发文量
155
审稿时长
4.2 months
期刊介绍: -Publishes original research on physical, chemical, and biological aspects of transport in porous media- Papers on porous media research may originate in various areas of physics, chemistry, biology, natural or materials science, and engineering (chemical, civil, agricultural, petroleum, environmental, electrical, and mechanical engineering)- Emphasizes theory, (numerical) modelling, laboratory work, and non-routine applications- Publishes work of a fundamental nature, of interest to a wide readership, that provides novel insight into porous media processes- Expanded in 2007 from 12 to 15 issues per year. Transport in Porous Media publishes original research on physical and chemical aspects of transport phenomena in rigid and deformable porous media. These phenomena, occurring in single and multiphase flow in porous domains, can be governed by extensive quantities such as mass of a fluid phase, mass of component of a phase, momentum, or energy. Moreover, porous medium deformations can be induced by the transport phenomena, by chemical and electro-chemical activities such as swelling, or by external loading through forces and displacements. These porous media phenomena may be studied by researchers from various areas of physics, chemistry, biology, natural or materials science, and engineering (chemical, civil, agricultural, petroleum, environmental, electrical, and mechanical engineering).
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