Integrated post-processing: Fluid flow simulation¶
Find below an example on how the simulation results of a pipe flow analysis are analyzed.
- First, we switch to the Post-processing tab which initially is empty.
- To see simulation results in 3D we click on Solution fields for the one we are interested on the left in the result tree
- The loaded dataset initially is without any color coding so it appears in grey in the viewer
- We are interested in seeing the flow behavior inside of the pipe. As this is a steady-state simulation result, we first switch to the last timestep
- We do so by hovering the time control bar which shows us buttons that we can use to switch to the desired timestep. We click on the one on the right to switch to the last timestep
- As we do not yet have chosen a color field, the visualization will not change - but this will happen soon
- As we are interested in seeing the fluid flow inside the pipe, we use a filter to basically cut the visualization in half
- Therefore we click on the “Add filter” button. This shows all available filters - we choose the “clip” filter
- The clipping plane is already correctly oriented for our purposes - in case we would like to change it, we could do so by using the filter settings panel in the lower left
- The original dataset is automatically hidden and only the clipped part is visible.
- The next step is to actually load a color dataset by choosing within the result field control the “U [point-data]” dataset which displays for the velocity point data field
- The scene is reloaded with the velocity already scaled to the minimum and maximum value of the velocity magnitude, if requied the plot can be selected with custom datat range
- This visualization gives us already a qualitative insight into how the flow behaves and the flow vortex behind the junction is immediately visible
- To get a more quantitative insight, we click on the ‘scale’ icon to the top of pipeline browser to toggle the color scale
- The color scale shows up in the top left of the 3D viewer window and gives information on what quantitative value each color value indicates
- Now you can further investigate the results, for example by changing the color field to showing pressure or by applying additional filters to show streamlines etc.