Fill out the form to download

Required field
Required field
Not a valid email address
Required field

Documentation

Tutorial: Post Processing for Static Analysis (Connecting Rod)

In this article, we will demonstrate how the simulation results of the stress analysis of a connecting rod can be visualized and analyzed in your browser. This tutorial will also show SimScale’s post-processing environment’s capabilities.

Relevant pages:

connecting rod post process simscale
Connecting rod
  • To begin the analysis, choose the preferred completed run under the ‘Simulation Runs’ option, and then click on the ‘Post-process results’ button to load the results on the viewer.
how to start the post processor with simscale
Start the post-processor
  • The available result datasets are all listed on the left in the tree.
  • Clicking on the specific result that you want to visualize to load it into the 3D viewer.
  • For example, to check the ‘von Mises stress’ on the model, click on the ‘Results’ and then select the ‘von Mises stress’ from the Scalar (‘SCL’) list below.
  • The color scale corresponds to the distribution of the von Mises stress in the model.
von mises stress connecting rod static analysis fea
Visualizing the von Mises stress.
  • As a next step, the ‘displacement’ field can be displayed on the connecting rod model as a color plot.
  • To visualize other physical quantities of the results, for example, the ‘All displacement’ field across the rod, switch again the field on the viewer.
displacement shown in the connecting rod static analysis fea
Displacement
  • The colors already give a qualitative understanding of the displacement field. Red indicates large displacement while blue stands for small.
  • As the last step, qualitative feedback on the displacement field can be visualized by plotting the displacement vectors.
  • Click on the ‘Results‘, then toggle on the ‘displacement’ under the ‘VEC’ option.
displacement vectors post processing environment within simscale's fea analysis
Displacement vectors
  • You can now continue analyzing the dataset. For example, you can visualize more color fields such as the strain by applying additional filters (isosurfaces, isovolumes etc).

If you are wondering how to post process your results have a look at this guideline.

Last updated: March 27th, 2020

Contents
Data Privacy