Computational Model‐Based Design of a Wearable Artificial Pump‐Lung for Cardiopulmonary/Respiratory Support

计算流体力学 可穿戴计算机 体外膜肺氧合 计算机科学 模拟 快速成型 机械工程 生物医学工程 工程类 医学 航空航天工程 外科 嵌入式系统
作者
Zhongjun J. Wu,M. Ertan Taskin,Tao Zhang,Katharine Fraser,Bartley P. Griffith
出处
期刊:Artificial Organs [Wiley]
卷期号:36 (4): 387-399 被引量:27
标识
DOI:10.1111/j.1525-1594.2011.01369.x
摘要

Abstract Mechanical ventilation and extracorporeal membrane oxygenation are the only immediate options available for patients with respiratory failure. However, these options present significant shortcomings. To address this unmet need for respiratory support, innovative respiratory assist devices are being developed. In this study, we present the computational model‐based design, and analysis of functional characteristics and hemocompatibility performance, of an innovative wearable artificial pump‐lung (APL) for ambulatory respiratory support. Computer‐aided design and computational fluid dynamics (CFD)‐based modeling were utilized to generate the geometrical model and to acquire the fluid flow field, gas transfer, and blood damage potential. With the knowledge of flow field, gas transfer, and blood damage potential through the whole device, design parameters were adjusted to achieve the desired specifications based on the concept of virtual prototyping using the computational modeling in conjunction with consideration of the constraints on fabrication processes and materials. Based on the results of the CFD design and analysis, the physical model of the wearable APL was fabricated. Computationally predicted hydrodynamic pumping function, gas transfer, and blood damage potential were compared with experimental data from in vitro evaluation of the wearable APL. The hydrodynamic performance, oxygen transfer, and blood damage potential predicted with computational modeling, along with the in vitro experimental data, indicated that this APL meets the design specifications for respiratory support with excellent biocompatibility at the targeted operating condition.
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
刚刚
Naza1119发布了新的文献求助10
刚刚
lx33101128发布了新的文献求助10
刚刚
1234发布了新的文献求助10
刚刚
Xinli发布了新的文献求助10
1秒前
明理青柏完成签到,获得积分10
1秒前
1秒前
科研通AI2S应助AAAADiao采纳,获得10
1秒前
1秒前
wyg1994完成签到,获得积分10
2秒前
2秒前
万能图书馆应助学术laji采纳,获得10
2秒前
ding应助祝志泽采纳,获得10
2秒前
ding应助阳仔采纳,获得10
3秒前
zz发布了新的文献求助10
3秒前
3秒前
木木完成签到 ,获得积分10
4秒前
4秒前
牛哥完成签到 ,获得积分10
5秒前
可爱的函函应助GC采纳,获得10
5秒前
江大橘发布了新的文献求助10
5秒前
5秒前
5秒前
Andy完成签到,获得积分10
6秒前
Leelelele应助木偶采纳,获得10
6秒前
李健的小迷弟应助Lynn采纳,获得10
6秒前
7秒前
kerman应助Cody采纳,获得10
7秒前
完美世界应助wyw采纳,获得10
7秒前
糕糕发布了新的文献求助30
7秒前
向日葵完成签到,获得积分10
8秒前
万能图书馆应助yan.yan.采纳,获得10
8秒前
8秒前
CHENXIN532完成签到,获得积分10
8秒前
等待的茉莉完成签到,获得积分10
8秒前
9秒前
9秒前
suzy-123发布了新的文献求助150
10秒前
沛蓝完成签到,获得积分10
10秒前
丘比特应助支安白采纳,获得10
11秒前
高分求助中
All the Birds of the World 4000
Production Logging: Theoretical and Interpretive Elements 3000
Les Mantodea de Guyane Insecta, Polyneoptera 2000
Machine Learning Methods in Geoscience 1000
Resilience of a Nation: A History of the Military in Rwanda 888
Musculoskeletal Pain - Market Insight, Epidemiology And Market Forecast - 2034 666
Crystal Nonlinear Optics: with SNLO examples (Second Edition) 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 物理 生物化学 纳米技术 计算机科学 化学工程 内科学 复合材料 物理化学 电极 遗传学 量子力学 基因 冶金 催化作用
热门帖子
关注 科研通微信公众号,转发送积分 3735079
求助须知:如何正确求助?哪些是违规求助? 3278971
关于积分的说明 10012522
捐赠科研通 2995555
什么是DOI,文献DOI怎么找? 1643499
邀请新用户注册赠送积分活动 781304
科研通“疑难数据库(出版商)”最低求助积分说明 749351