Micromechanical Modeling of Gelatin-Based Nano-Composite Bone Scaffolds

2020 27th National and 5th International Iranian Conference on Biomedical Engineering (ICBME) Pub Date : 2020-11-26 DOI:10.1109/ICBME51989.2020.9319423

A. Khalvandi, M. M. Aghdam, S. Saber-Samandari

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引用次数: 3

Abstract

In this study, Finite elements (FE) based micromechanical procedures were implemented for predicting the mechanical properties of Gelatin/Akermanite two-phased porous bio-nano composite scaffolds having bone substitute applications with different w.t. % and porosity distributions. At the first, 3-D representative volume elements (RVEs) with different sizes generated via developing the random algorithms considering the random distribution of inclusions and porosities in PYTHON to predict the overall mechanical behavior and to calculate the homogenized or effective Young's modulus of the porous nanocomposite scaffolds employing finite elements analyzes (FEA). The optimum size for the RVEs has been obtained. Afterward, such analyses' accuracy was validated by comparing it to data from the experimental compression test. An acceptable range of agreement between FEA predictions for various generated RVEs and experimental data from compression tests is observed, having discrepancy intervals from 6.68 % up to approximately 11%.

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明胶基纳米复合骨支架的微观力学建模

在本研究中，采用基于有限元(FE)的微力学方法来预测具有不同wt %和孔隙率分布的骨替代品明胶/阿克曼石两相多孔生物纳米复合材料的力学性能。首先，通过在PYTHON中开发考虑夹杂物和孔隙率随机分布的随机算法，生成不同尺寸的三维代表性体积元(rve)，预测多孔纳米复合材料支架的整体力学行为，并利用有限元分析(FEA)计算多孔纳米复合材料支架的均匀化或有效杨氏模量。得到了RVEs的最佳尺寸。随后，通过将分析结果与实验压缩试验数据进行比较，验证了分析结果的准确性。各种生成rve的有限元预测与压缩测试的实验数据之间的一致性在一个可接受的范围内，差异区间从6.68%到大约11%。

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2020 27th National and 5th International Iranian Conference on Biomedical Engineering (ICBME)

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