Easy to set-up, fast to run, 2-D simulations are ideal for testing boundary conditions and material models. Running 2-D models of complex problems can often provide insight into the best way to run full 3-D models.
High resolution 1-D or 2-D calculations that are fast to run can be remapped into 2-D or 3-D quickly and conveniently. This results in highly accurate and high-resolution results without the major computing resources that would be required for the same resolution in 3-D.
Increasing the size of the cells used as the size of the problem increases can be achieved conveniently with minimal user input, ensuring the proper balance between calculation speed and maximum resolution.
Parts that do not participate in a problem at all times can be marked 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.
A partial solution with one type of solver can be remapped into another type. For example a Lagrange part in a 3-D 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 2-D Euler solution can be conveniently remapped into a 3-D Lagrange part.