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The steady-state forward and reverse flow characteristics of a Tesla-type valve are investigated using CFD-ACE+. A Tesla-type valve is one of the no-moving-parts (NMP) type valves used in micropumps for microelectromechanical system (MEMS) devices.

Microwells are being increasingly used in Ultra High Throughput Screening (Ultra HTS) systems, where they are an integral component of Dynamic Microarrays. Pressure driven flow is used to drive liquid flow to the Microwell. Because of the extremely small length scales involved, the surface tension forces are significant. This simulation investigates the filling of a Microwell.
Turbulent combustion of co-injected jets of propane and air is studied in an axisymmetric combustor. The combustion process is modeled using a multi-step gas phase reaction mechanism. CFD-ACE+ provides several reaction models that can be used to study combustion depending of the objectives of the study. 
This tutorial demonstrates coupled electrical/thermal/structural analysis of a wirebond for power electronic devices. Current flowing through the wires causes heating, which in turn results in thermoelastic stresses in the wires and at the locations where the wire is connected to the IGBT and the diode. Here, we model all three aspects and predict the wire temperature and stress levels.
This is a step-by-step guided introductory tutorial for setting up a heat transfer model in CFD-ACE+. The steady state conductive and natural convective heat transfer to the air-gap between infinitely long concentric thick-walled cylinders is modeled. The inner and outer walls are maintained at a fixed temperature. The goal of the simulation is to determine the heat transfer required to maintain the inner and outer walls at fixed temperatures.
This is a 2D-axisymmetric flow of engine oil through a compliant orifice. The effects of thermal stress and fluid-structural coupling are included in this simulation. The compliant orifice is a rubber orifice known as Dyneon Aflas FA-150E Polytetrafluoroethylene (PTFE) Fluoroelastomer.

The optimal pressure differential for a desired net forward flow rate of a Tesla-type valve is evaluated and demonstrated in this tutorial. Simulation Manager allows the automation of a parametric / optimization study by controlling all analysis tools from one central application. It executes a simulation recipe that contains all the steps as a Python script. This tutorial will introduce the user to Python scripts and to use them to control CFD-GEOM parameters and CFD-ACE+ solver.

 

The optimization template feature of SimManager is used to find the maximum lift/drag ratio of a NACA 0012 airfoil by varying the angle-of-attack The goal of this modeling effort is to find the angle-of-attack (design variable) of the airfoil at which the maximum value of the lift/drag ratio (cost function) occurs for a given altitude and free-stream Mach number.

Discussion of model setup in CFD-GUI is given, including the use of the parametric input feature for setting angle-of-attack and user defined output subroutine for determining lift/drag ratio from the solution results. The SimManager optimization template is setup to read the cost function (lift/drag ratio) from the output file of the user defined output subroutine and vary the CFD-ACE(U) parameter which controls angle-of-attack. SimManager controls the simulation process by running solver jobs and automatically varying the angle-of-attack of the airfoil for each run until a local maximum value of the lift/drag ratio is reached. SimManager plots the lift/drag ratio versus angle of attack, and the lift/drag
ratio versus optimizer iteration as output.

 

 

This tutorial demonstrates the usage of parallel access routines made available from V2014.0. The specific examples demonstrated here include:

1. Opening and closing files for sequential access across multiple processes.

2. Opening and closing files for distributed access across multiple processes. 

3. Find the global minimum, maximum and average of a variable across multiple processes.

4. Find the weighted averages and volume integrals across multiple processes.  

Simulation Manager allows the automation of a parametric / optimization study by controlling all analysis tools from one central application. It executes a simulation recipe that contains all the steps as a Python script. This tutorial will introduce the user to Python scripts and to use them to control CFD-GEOM parameters and CFD-ACE+ solver. The effect of pressure differential on the forward/reverse flow rates of a Tesla-type valve is demonstrated in this tutorial.

In this tutorial, an automated parametric study of heat conduction between concentric cylinders is presented. The steady state conductive heat transfer to the air-gap between infinitely long concentric thick-walled cylinders is modeled for various airgap lengths. Based on a table of input values, Simulation Manager calls CFD-GEOM to update model geometry and grid, changes boundary conditions, then runs the CFD-ACE+ solver for each case.
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