Predicting permeability of regular tissue engineering scaffolds: scaling analysis of pore architecture, scaffold length, and fluid flow rate effects

磁导率 多孔性 材料科学 缩放比例 压力降 机械 参数统计 达西定律 体积流量 脚手架 多孔介质 复合材料 生物医学工程 数学 化学 工程类 几何学 物理 生物化学 统计
作者
Alireza Rahbari,Hossein Montazerian,Elham Davoodi,S. Homayoonfar
出处
期刊:Computer Methods in Biomechanics and Biomedical Engineering [Taylor & Francis]
卷期号:20 (3): 231-241 被引量:61
标识
DOI:10.1080/10255842.2016.1215436
摘要

The main aim of this research is to numerically obtain the permeability coefficient in the cylindrical scaffolds. For this purpose, a mathematical analysis was performed to derive an equation for desired porosity in terms of morphological parameters. Then, the considered cylindrical geometries were modeled and the permeability coefficient was calculated according to the velocity and pressure drop values based on the Darcy’s law. In order to validate the accuracy of the present numerical solution, the obtained permeability coefficient was compared with the published experimental data. It was observed that this model can predict permeability with the utmost accuracy. Then, the effect of geometrical parameters including porosity, scaffold pore structure, unit cell size, and length of the scaffolds as well as entrance mass flow rate on the permeability of porous structures was studied. Furthermore, a parametric study with scaling laws analysis of sample length and mass flow rate effects on the permeability showed good fit to the obtained data. It can be concluded that the sensitivity of permeability is more noticeable at higher porosities. The present approach can be used to characterize and optimize the scaffold microstructure due to the necessity of cell growth and transferring considerations.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
黄任行完成签到,获得积分10
刚刚
2秒前
kylie完成签到,获得积分10
5秒前
DJQ完成签到,获得积分10
6秒前
能干小甜瓜完成签到 ,获得积分10
8秒前
辣条完成签到 ,获得积分10
13秒前
YH完成签到,获得积分10
13秒前
健壮雨兰完成签到,获得积分10
15秒前
Lx_wwww完成签到,获得积分10
15秒前
cjy完成签到,获得积分10
16秒前
17秒前
17秒前
Mercury发布了新的文献求助10
18秒前
YXL完成签到,获得积分10
18秒前
19秒前
Accept2024完成签到,获得积分10
19秒前
21秒前
yuyangzhang发布了新的文献求助10
22秒前
23秒前
华仔应助敛绪采纳,获得10
24秒前
Queen完成签到 ,获得积分10
28秒前
Liang发布了新的文献求助50
29秒前
罗非鱼完成签到,获得积分10
29秒前
戴帽子的花盆完成签到,获得积分10
29秒前
是小舞阳呀完成签到,获得积分10
30秒前
30秒前
31秒前
Cheny发布了新的文献求助10
32秒前
dychen123发布了新的文献求助10
33秒前
molihuakai应助DJQ采纳,获得10
34秒前
葭蓶发布了新的文献求助10
34秒前
敛绪发布了新的文献求助10
36秒前
坠兔收月发布了新的文献求助10
36秒前
37秒前
王佳俊完成签到,获得积分10
38秒前
molihuakai应助如常采纳,获得10
38秒前
41秒前
44秒前
45秒前
Ann完成签到,获得积分0
45秒前
高分求助中
液晶指向矢仿真分析数据集 8888
Invited Discussant 63O and 64O 1000
Ideology and Meaning-Making under the Putin Regime 750
Petrology and Plate Tectonics 500
Writing Systems 500
A Handbook of User Experience Research & Design in Libraries 400
Understanding Modeling and Simulation of Polymerization Reactions 400
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 计算机科学 化学工程 生物化学 物理 内科学 复合材料 催化作用 光电子学 物理化学 电极 细胞生物学 基因 遗传学
热门帖子
关注 科研通微信公众号,转发送积分 6899134
求助须知:如何正确求助?哪些是违规求助? 8594270
关于积分的说明 18246741
捐赠科研通 6297772
什么是DOI,文献DOI怎么找? 3061560
关于科研通互助平台的介绍 2081768
邀请新用户注册赠送积分活动 2039429