Hemolysis performance analysis and a novel estimation model of roller pump system

溶血 近似误差 计算 机械 计算流体力学 材料科学 数学 模拟 计算机科学 生物医学工程 工程类 统计 物理 算法 医学 免疫学
作者
Yuan Gao,Ming Li,Miaowen Jiang,Yang Zhang,Chuanjie Wu,Xunming Ji
出处
期刊:Computers in Biology and Medicine [Elsevier]
卷期号:159: 106842-106842 被引量:3
标识
DOI:10.1016/j.compbiomed.2023.106842
摘要

Hemolysis performance is a crucial criterion for roller pumps utilized in life supporting system. In this study, the factor of hemolysis for roller pumps was selected as the target, and an estimation formulation was built to evaluate its hemolysis.Several models were proposed and then simulated with the assistant of Computational fluid dynamics (CFD) framework. The hemolysis performance was calculated using the power law model based on CFD and the estimation model in accordance with geometry parameters proposed in this study. The results of the in vitro experiments were compared with the simulation results. Power law model with the lowest error was utilized in following analysis.As indicated by the simulation result, the rotary speed most significantly affected the hemolysis performance of roller blood pumps, followed by roller number and diameter of tube. The index of hemolysis (IH) for roller blood pumps at a rotary speed of 20-100 rpm ranged from 8.73E-7 to 8.07E-5. The relative error of the estimation model (4.93%) was lower than of the power law model (6.78%).The IH led by pumps shows a significant, nonlinear relationship with the rotary speed. The design of multiple rollers design is harmful for hemolysis performance and larger diameter of tube exhibits decreased hemolysis at constant flow rate. An estimation formula was proposed with lower relative error for roller pump with the same shell set, which exhibited reduced computation and elevated convenience. And it can be utilized in hemolysis estimation of roller pumps potentially.
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
更新
大幅提高文件上传限制,最高150M (2024-4-1)

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
搜集达人应助772829采纳,获得10
1秒前
yangerbao完成签到,获得积分10
1秒前
细心飞鸟完成签到 ,获得积分10
2秒前
魔幻的毛巾完成签到,获得积分10
4秒前
5秒前
6秒前
乐观发布了新的文献求助10
6秒前
Geist发布了新的文献求助10
7秒前
8秒前
9秒前
9秒前
9秒前
10秒前
Wo123关注了科研通微信公众号
10秒前
田様应助Ray采纳,获得10
11秒前
11秒前
772829发布了新的文献求助10
12秒前
太阳雨完成签到,获得积分10
12秒前
星空发布了新的文献求助10
14秒前
SciGPT应助科研通管家采纳,获得10
14秒前
Umwandlung完成签到,获得积分10
14秒前
Leonardi应助科研通管家采纳,获得200
14秒前
在水一方应助科研通管家采纳,获得10
14秒前
思源应助科研通管家采纳,获得10
14秒前
模糊中正应助科研通管家采纳,获得20
14秒前
mhl11应助科研通管家采纳,获得10
14秒前
太阳雨发布了新的文献求助10
14秒前
烟花应助科研通管家采纳,获得10
14秒前
14秒前
14秒前
14秒前
YJ888发布了新的文献求助10
15秒前
传奇3应助乐观采纳,获得10
16秒前
韦幻莲完成签到,获得积分10
17秒前
18秒前
赘婿应助二十六画生采纳,获得10
21秒前
你大米哥完成签到 ,获得积分10
21秒前
hello发布了新的文献求助10
22秒前
23秒前
星空完成签到,获得积分10
24秒前
高分求助中
Licensing Deals in Pharmaceuticals 2019-2024 3000
Cognitive Paradigms in Knowledge Organisation 2000
Mantiden: Faszinierende Lauerjäger Faszinierende Lauerjäger Heßler, Claudia, Rud 1000
PraxisRatgeber: Mantiden: Faszinierende Lauerjäger 1000
Natural History of Mantodea 螳螂的自然史 1000
A Photographic Guide to Mantis of China 常见螳螂野外识别手册 800
How Maoism Was Made: Reconstructing China, 1949-1965 800
热门求助领域 (近24小时)
化学 医学 材料科学 生物 工程类 有机化学 生物化学 物理 内科学 纳米技术 计算机科学 化学工程 复合材料 遗传学 基因 物理化学 催化作用 量子力学 冶金 电极
热门帖子
关注 科研通微信公众号,转发送积分 3318350
求助须知:如何正确求助?哪些是违规求助? 2949746
关于积分的说明 8547747
捐赠科研通 2626417
什么是DOI,文献DOI怎么找? 1437176
科研通“疑难数据库(出版商)”最低求助积分说明 666172
邀请新用户注册赠送积分活动 652114