Specifying Body forces on Macroparticles via User Subroutine

Multiphase flows occurring in various scientific and engineering fields and application areas like biotechnology, bio-defense, micro-fluidics, chemical processing and environmental research etc., can be modeled using the Macroparticle module in CFD-ACE+.

Avoiding Chimera Errors in CFD-FASTRAN

This note discusses a common error encountered by users when trying chimera meshes in CFD-FASTRAN.  Such errors are easy to avoid and hopefully this note will assist you.

Model Inversion in CFD-GEOM V2008.2

With the new CAD model import options in CFD-GEOM, it is now easier than ever to read your solid models into CFD-GEOM.  Once the model is in CFD-GEOM, you have the solid representation of the part but in many cases the fluid, or negative space, in the CAD model is of importance and the area which needs to be discretized (i.e. meshed).

Grouping of Geometry Surfaces in CFD-VisCART V2008.0

In CFD-VisCART V2008.0, a new Group/Ungroup capability has been added for geometry surfaces. Grouping is useful for collecting multiple geometries having the same meshing parameters and/or boundary conditions.

Getting Average Quantities in CFD-VIEW V2008.2

Many times post processing results requires computing average quantities of variables over a surface or volume. CFD-VIEW V2008.2 made it easy by adding three new calculator functions under the ‘Miscellaneous’ function category as shown in Figure 1.

Inverting Models in CFD-CADalyzer

Computational Fluid Dynamics (CFD) requires the discretization of a geometry bounded by it's wetted surfaces. In CAD, the solid parts are created without the corresponding fluid volumes, i.e. negative space.

CFD-ACE+ and CFD-TOPO Coupling

There is a growing demand and challenge in different industries, especially semiconductor and MEMS areas, to have increased wafer size with reduced feature size, i.e. high quality process uniformity.

Optimization using an Adjoint Method with PAM-FLOW

The CFD optimization of different car components has the potential of significantly shortening the design process (Othmer & Grahs, 2005).  The adjoint method recently implemented in PAM-FLOWTM is an advanced approach which aims to compute the sensitivities of the cost function and to plug them into a gradient-based optimization algorithm.