Computational-Fluid-Dynamics-Based Design Optimization for Single-Element Rocket Injector

2004 ◽  
Vol 20 (4) ◽  
pp. 705-717 ◽  
Author(s):  
Rajkumar Vaidyanathan ◽  
P. Kevin Tucker ◽  
Nilay Papila ◽  
Wei Shyy
Keyword(s):  
Fluid Dynamics ◽  
Computational Fluid Dynamics ◽  
Design Optimization ◽  
Single Element

Transport Enhancement in Tunable Laser Cavity Sensor

2002 ◽  
Author(s):  
M. Sigurdson ◽  
C. Meinhart ◽  
D. Wang ◽  
X. Liu ◽  
J. J. Feng ◽  
...  
Keyword(s):  
Fluid Dynamics ◽  
Computational Fluid Dynamics ◽  
Design Optimization ◽  
Tunable Laser ◽  
Laser Cavity ◽  
Cfd Modeling ◽  
Physical Processes ◽  
Transport Enhancement ◽  
Computational Fluid Dynamics Cfd ◽  
Electrothermal Flow

Dielectrophoresis and Electrothermal Flow are two physical processes investigated for enhancing transport of antigen to a region of immobilized conjugate antibodies on an immunosensor surface. Computational fluid dynamics (CFD) modeling is employed to understand these phenomena in detail to aid in the design optimization of the device.

scholarly journals Computational Fluid Dynamics-Based Design Optimization for an Implantable Miniature Maglev Pediatric Ventricular Assist Device

2012 ◽  
Vol 134 (4) ◽  
Author(s):  
Jingchun Wu ◽  
James F. Antaki ◽  
Josiah Verkaik ◽  
Shaun Snyder ◽  
Michael Ricci
Keyword(s):  
Fluid Dynamics ◽  
Computational Fluid Dynamics ◽  
Design Optimization ◽  
Flow Rate ◽  
Ventricular Assist Device ◽  
Flow Path ◽  
Flow Section ◽  
Rotor Speed ◽  
Assist Device ◽  
Ventricular Assist

Computational fluid dynamics (CFD)-based design optimization was applied to achieve the finalized design of the PediaFlow® PF4, a magnetically levitated rotodynamic pediatric ventricular assist device. It features a streamlined blood-flow path with a single annular fluid passage between the rotor and the stationary housing. The resulting impeller is composed of a first-stage mixed-flow section having four blades at the conical nose region followed by a second-stage fully axial-flow section with three blades within the annular gap region. A stator with three inwardly-directed vanes is provided at the conical tail region to recover pressure and straighten the flow. CFD predictions of head and efficiency characteristics agreed remarkably well with the validation experimental data: with overprediction of head by <7 mmHg over the entire operational range and a slight overprediction in best efficiency by ∼1%. The new optimized PF4 extended the maximum flow range of the previous PF3 device by more than 100% to over 2.3 liter per minute (LPM) for the same range of operating speeds, and doubled the maximum hydraulic efficiency to ∼27%. Evaluation of hemolysis was performed by a Lagrangian particle-tracking technique with analysis of regional contributions to the overall blood damage. The simulation revealed that hemolysis increases with an increase in both the flow rate and rotor speed but not necessarily with just an increase in flow rate at a constant rotor speed. At the flow rate of 1.0 LPM and a head of 138 mmHg, PF4 has a hemolysis index of 0.0032 compared to 0.0058 produced by PF3 at the same flow rate with a head of 48 mmHg. Numerical simulation of radial fluid forces performed by the CFD model with an eccentric rotor revealed the presence of negative fluid stiffness that was monotonically related to both flow and speed. Finally, conjugate heat transfer analysis predicted temperature rise adjacent to the motor to be inversely proportional to the length, but not exceeding ∼2 °C over the intended range of operation. In conclusion, CFD-based design optimization greatly expedited and facilitated the completion of the PediaFlow® flow path and contributed to the system-wide optimization to produce a miniature maglev pump with exceptional hemocompatibility.

Sign in / Sign up

Export Citation Format

Share Document