Two Dimensional Analysis
Easy to set-up, fast to run, 2D simulations are ideal for testing boundary conditions, material models. Running 2D models of complex problems can often provide insight into the best way to run full 3 Dimensional models.
Remapping Dimensions
High resolution 1D or 2D calculations that are fast to run can be remapped into 2D or 3D quickly and conveniently resulting in high accurate, resolution results without the major computing resources that would be required to use the same resolution in 3D.
Dezoning
Increasing the size of the cells used as the size of the problem is increased can be achieved conveniently with minimal user input, insuring the proper balance between calculation speed and maximum resolution.
Part Activation
Parts that do not participate in a problem at all time can be marked, conveniently to be activated and/or deactivated at a certain problem time. This feature can save significant computing resources without reducing the accuracy of a solution.
Remapping Solutions
A partial solution with one type of solver can be remapped into another type. For example a Lagrange part in a 3D problem that is starting to severely distort can be conveniently remapped into an Euler space, enabling the remainder of the problem to be run using an Euler solution technique for that part. Similarly a 2D Euler solution can be conveniently remapped into a 3D Lagrange part.
Natural Fragmentation
The yield strength of a material can be conveniently assigned a slight variation randomly in space, enabling the program to produce fragmentation that closely matches experimental results.