301 Arch Graft Blood Flow Simulation Using Computational Fluid Dynamics (CFD) Technology

2007 ◽  
Vol 2006.19 (0) ◽  
pp. 52-53
Author(s):  
Yi Qian ◽  
Isamu Fukui ◽  
Mituo Umezu
Keyword(s):  
Fluid Dynamics ◽  
Computational Fluid Dynamics ◽  
Blood Flow ◽  
Flow Simulation ◽  
Blood Flow Simulation ◽  
Computational Fluid Dynamics Cfd

Computational Fluid Dynamics (CFD) Study of the 4th Generation Prototype of a Continuous Flow Ventricular Assist Device (VAD)

2004 ◽  
Vol 126 (2) ◽  
pp. 180-187 ◽  
Author(s):  
Xinwei Song ◽  
Houston G. Wood ◽  
Don Olsen
Keyword(s):  
Fluid Dynamics ◽  
Computational Fluid Dynamics ◽  
Blood Flow ◽  
Ventricular Assist Device ◽  
Continuous Flow ◽  
Surrounding Tissue ◽  
Assist Device ◽  
Ventricular Assist ◽  
Wide Range ◽  
Computational Fluid Dynamics Cfd

The continuous flow ventricular assist device (VAD) is a miniature centrifugal pump, fully suspended by magnetic bearings, which is being developed for implantation in humans. The CF4 model is the first actual prototype of the final design product. The overall performances of blood flow in CF4 have been simulated using computational fluid dynamics (CFD) software: CFX, which is commercially available from ANSYS Inc. The flow regions modeled in CF4 include the inlet elbow, the five-blade impeller, the clearance gap below the impeller, and the exit volute. According to different needs from patients, a wide range of flow rates and revolutions per minute (RPM) have been studied. The flow rate-pressure curves are given. The streamlines in the flow field are drawn to detect stagnation points and vortices that could lead to thrombosis. The stress is calculated in the fluid field to estimate potential hemolysis. The stress is elevated to the decreased size of the blood flow paths through the smaller pump, but is still within the safe range. The thermal study on the pump, the blood and the surrounding tissue shows the temperature rise due to magnetoelectric heat sources and thermal dissipation is insignificant. CFD simulation proved valuable to demonstrate and to improve the performance of fluid flow in the design of a small size pump.

scholarly journals SIMULASI DISTRIBUSI TEMPERATUR DAN KELEMBABAN RELATIF RUANGAN DARI SISTEM DEHUMIDIFIKASI MENGGUNAKAN COMPUTATIONAL FLUIDS DYNAMICS (CFD)

ROTASI ◽  
2017 ◽  
Vol 19 (1) ◽  
pp. 1
Author(s):  
Eflita Yohana ◽  
Bambang Yunianto ◽  
Ade Eva Diana
Keyword(s):  
Fluid Dynamics ◽  
Computational Fluid Dynamics ◽  
Flow Simulation ◽  
Liquid Desiccant ◽  
Humidity Ratio ◽  
Computational Fluids Dynamics ◽  
Computational Fluids ◽  
Computational Fluid Dynamics Cfd

Dehumidifikasi merupakan proses pengurangan kadar uap air  yang berpengaruh terhadap besar nilai kelembaban relatif dan temperatur suatu ruangan. Dalam mengkondisikan kadar uap air dalam suatu ruangan tersebut agar dapat sesuai dengan kebutuhan, maka perlu diketahui distribusi kelembaban relatif dan temperatur dalam ruangan menggunakan Computational Fluid Dynamics (CFD). Pada penelitian ini, pengambilan data dilakukan selama 20 menit dan dilakukan pada pukul 08.00 WIB.  Liquid desiccant yang digunakan dijaga pada temperatur 10°C dengan variasi konsentrasi 40% dan 50%. Sensor DHT 11 dipasang pada lima sisi, atap, dinding, lantai, inlet, outlet, yang berfungsi untuk mencatat perubahan kelembaban dan temperatur selama pengujian berlangsung. Pada kondisi normal tanpa menyalakan alat dehumidifier, sensor mencatat temperatur rata-rata di dalam ruangan sebesar 29,9°C dan RH 58,9%. Simulasi dilakukan menggunakan software CFD Solidworks Flow Simulation 2014. Validasi hasil eksperimen dengan hasil simulasi dengan membandingan bahwa liquid desiccant 40% dan 50%, nozzle sprayer 0.2 mm dengan temperatur yang dijaga pada 10°C mempunyai distribusi yang cukup merata dengan konsentrasi 40% memiliki nilai RH terendah sebesar 65,21%, nilai RH tertinggi sebesar 68,99%, nilai ω = 18 gr/kg, serta mempunyai temperatur tertinggi 31,11°C dan temperatur terendah 30,05°C. Sedangkan dengan konsentrasi 50% distribusi dalam ruangan juga cukup merata karena memiliki nilai RH terendah sebesar 59,21%., nilai RH tertinggi sebesar 62,80%, nilai ω = 17 gr/kg, serta mempunyai temperatur tertinggi 31,71°C dan temperatur terendah 30,93°C. Sehingga liquid desiccant dengan konsentrasi 50% mempunyai nilai Humidity Ratio (ω) lebih rendah dibandingkan dengan yang memiliki konsentrasi 40%.

Numerical Simulations of the Non-Newtonian Blood Blow in Human Abdominal Artery Based on Reverse Engineering

2011 ◽  
Vol 140 ◽  
pp. 195-199 ◽  
Author(s):  
Jin You YANG ◽  
Yang Hong
Keyword(s):  
Fluid Dynamics ◽  
Computational Fluid Dynamics ◽  
Blood Flow ◽  
Fluid Flow ◽  
Reverse Engineering ◽  
Power Law ◽  
Cardiac Cycle ◽  
Hemodynamic Parameters ◽  
Human Artery ◽  
Computational Fluid Dynamics Cfd

The method that combined the reverse engineering based on CT medical images and computational fluid dynamics (CFD) was used to perform simulation the Non-Newtonian blood fluid flow in human abdominal artery, then analyzed the hemodynamic condition about the bifurcation of human abdominal artery. A Non-Newtonian blood model (the Generalised Power Law) was used to study the hemodynamic parameters during entire cardiac cycle. Calculated results for the Non-Newtonian blood flow show us the methods performed in this study is suitable for numerical simulating the blood flow in human artery and investigating the relation between hemodynamic factors and vascular disease.

scholarly journals Modeling And Designing Simulation Using CFD Computational Fluid Dynamics Application For The Process Of Capture Diesel Soot Particles By Hydro Cyclone

2019 ◽  
Vol 26 (3) ◽  
pp. 105-111
Author(s):  
Mai Hanna Shahda ◽  
Mahmod Alfattamah ◽  
Youssef Johar
Keyword(s):  
Fluid Dynamics ◽  
Computational Fluid Dynamics ◽  
Flow Simulation ◽  
Diesel Soot ◽  
Product Performance ◽  
Diesel Generator ◽  
Soot Particles ◽  
Fluid Forces ◽  
Computational Fluid Dynamics Cfd ◽  
The Impact

The research aims to predict the efficiency of capturing the soot particles generated by the diesel generator within the Hydro Cyclone by conducting the applied study using the Computational Fluid Dynamics (CFD) application through modeling and simulation of the turbulent flow within the Hydro Cyclone using SOLIDWORKS Flow Simulation. The ability to predict the impact of such flows on your product performance is time consuming and costly without some form of simulation tools...SOLIDWORKS Flow Simulation uses Computational Fluid Dynamics (CFD) analysis to enable quick, efficient simulation of fluid flow and can easily calculate fluid forces and help the designer to understand the impact of a liquid or gas on product performance and comparing the results with experimental reality. In this research, the engineering simulation confirmed the importance of using Hydro Cyclone in the capture of diesel soot particles by an error rate of only 4% compared to experimental reality.

Microfabricated Cavities for Adhesive Capture of Stem Cells Under Flow

2007 ◽  
Author(s):  
Dooyoung Lee ◽  
Kuldeepsinh Rana ◽  
Karin Lee ◽  
Lisa A. DeLouise ◽  
Michael R. King
Keyword(s):  
Fluid Dynamics ◽  
Stem Cells ◽  
Computational Fluid Dynamics ◽  
Blood Flow ◽  
Shear Stresses ◽  
Computational Fluid Dynamics Cfd ◽  
Future Work ◽  
Flow Experiments

In previous work, we have described the adhesive capture of circulating stem cells to surfaces coated with adhesive selectin protein, both in vitro and in vivo. Here we describe PDMS surfaces microfabricated to contain an array of square 80 × 80 × 80 micron cavities. These cavities are intended to provide a local bioreactor environment to culture stem cells over extended periods of time, while sheltered from the higher shear stresses of the surrounding blood flow external of the cavities. In this paper we present in vitro flow experiments with polymeric, blood cell-sized microspheres, showing the creation of stable vortices within the microscale cavities. Computational fluid dynamics (CFD) was performed to predict the velocity field within the cavity, and for comparison with experimentally determined microsphere velocities. Future work will establish the ability to place local chemoattract molecules within the cavity interior, and the ability to accumulate viable stem cells within these cavities.

Validation of an Open Source Framework for the Simulation of Blood Flow in Rigid and Deformable Vessels

2013 ◽  
Author(s):  
T. Passerini ◽  
A. Quaini ◽  
U. Villa ◽  
A. Veneziani ◽  
S. Canic
Keyword(s):  
Fluid Dynamics ◽  
Computational Fluid Dynamics ◽  
Blood Flow ◽  
Numerical Methods ◽  
Open Source ◽  
Open Source Framework ◽  
Computational Fluid Dynamics Cfd ◽  
Scientific Endeavor ◽  
The Right ◽  
Computational Analyses

Computational methods are the tool of choice for the study of physics phenomena in many fields of scientific endeavor. To guarantee the reliability of the results of computational analyses, it is crucial that mathematical models are validated and numerical methods are verified. A verified method is capable of correctly solving the problem equations, while a valid model is able to correctly describe the features of the problem (i.e. it uses the right equations). In this paper we: (i) verify and validate an open source computational fluid dynamics (CFD) framework for the solution of problems of interest in hemodynamics and (ii) provide a report on the methodology that we use, to make our experiences reproducible.

CFD Challenge: Modeling Blood Flow Dynamics in a Cerebral Aneurysm Using Fluent

2012 ◽  
Author(s):  
Nicholas Shaffer ◽  
Francis Loth
Keyword(s):  
Fluid Dynamics ◽  
Computational Fluid Dynamics ◽  
Blood Flow ◽  
Cerebrospinal Fluid ◽  
Fluid Motion ◽  
Flow Dynamics ◽  
Cfd Modeling ◽  
Blood Flow Dynamics ◽  
Computational Fluid Dynamics Cfd ◽  
The University

The Biofluids Laboratory at the University of Akron has used Fluent [Ansys Inc., Canonsburg, PA] for image-based computational fluid dynamics (CFD) modeling of physiological flows since the lab’s inception in 2008. Recently our group has focused on modeling of pathophysiological problems in cerebrospinal fluid motion and air flow in the trachea, in addition to past work in cardiovascular problems.

Use of Computational Fluid Dynamics for the Replication of Clinical Blood Flow and Pressure Measurements and Characterization of Hemodynamics in the Normal Ascending and Thoracic Aorta

2007 ◽  
Author(s):  
John F. LaDisa ◽  
C. Alberto Figueroa ◽  
Irene E. Vignon-Clementel ◽  
Frandics P. Chan ◽  
Jeffrey A. Feinstein ◽  
...  
Keyword(s):  
Fluid Dynamics ◽  
Computational Fluid Dynamics ◽  
Blood Flow ◽  
Boundary Conditions ◽  
Thoracic Aorta ◽  
Vascular Anatomy ◽  
Data Set ◽  
Cfd Models ◽  
Computational Fluid Dynamics Cfd

Complications associated with abnormalities of the ascending and thoracic aorta are directly influenced by mechanical forces. To understand hemodynamic alterations associated with diseases in this region, however, we must first characterize related indices during normal conditions. Computational fluid dynamics (CFD) models of the ascending and thoracic aorta to date have only provided descriptions of the velocity field using idealized representations of the vasculature, a single patient data set, and outlet boundary conditions that do not replicate physiologic blood flow and pressure. Importantly, the complexity of aortic flow patterns, limited availability of methods for implementing appropriate boundary conditions, and ability to replicate vascular anatomy all contribute to the difficulty of the problem and, likely, the scarcity of more detailed studies.

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