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.

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
曾经如风发布了新的文献求助10
刚刚
1秒前
打打应助yy采纳,获得10
1秒前
1秒前
1秒前
jxzhou发布了新的文献求助10
1秒前
2秒前
2秒前
Stella发布了新的文献求助10
2秒前
隐形曼青应助日月星陈采纳,获得10
2秒前
36456657应助zcn采纳,获得10
3秒前
3秒前
李健应助阿巴阿巴采纳,获得10
3秒前
4秒前
隐形曼青应助ASUKA采纳,获得10
4秒前
hahacsw发布了新的文献求助10
5秒前
5秒前
5秒前
找找看发布了新的文献求助10
6秒前
木子发布了新的文献求助10
6秒前
7秒前
小脑斧完成签到,获得积分10
7秒前
回梦发布了新的文献求助10
7秒前
7秒前
科研通AI6.1应助独特的春采纳,获得10
7秒前
7秒前
8秒前
miaomiao123完成签到 ,获得积分10
8秒前
大模型应助王多肉采纳,获得200
8秒前
量子星尘发布了新的文献求助10
8秒前
青青儿发布了新的文献求助10
8秒前
乐乐应助欢欢采纳,获得10
9秒前
9秒前
毛果完成签到,获得积分10
9秒前
量子星尘发布了新的文献求助10
9秒前
lcc李川川发布了新的文献求助10
9秒前
丘比特应助蟹黄味采纳,获得10
10秒前
吃葡萄不吐芒果皮完成签到,获得积分10
10秒前
10秒前
11秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Encyclopedia of Forensic and Legal Medicine Third Edition 5000
Introduction to strong mixing conditions volume 1-3 5000
Agyptische Geschichte der 21.30. Dynastie 3000
Aerospace Engineering Education During the First Century of Flight 2000
„Semitische Wissenschaften“? 1510
从k到英国情人 1500
热门求助领域 (近24小时)
化学 材料科学 生物 医学 工程类 计算机科学 有机化学 物理 生物化学 纳米技术 复合材料 内科学 化学工程 人工智能 催化作用 遗传学 数学 基因 量子力学 物理化学
热门帖子
关注 科研通微信公众号,转发送积分 5769099
求助须知:如何正确求助?哪些是违规求助? 5578176
关于积分的说明 15420439
捐赠科研通 4902827
什么是DOI,文献DOI怎么找? 2637955
邀请新用户注册赠送积分活动 1585825
关于科研通互助平台的介绍 1540963