Statistical Design Studies
Statistical attributes can be applied to dimensions and parameters, enabling the calculation of resulting statistical parameters for any measurable goal in the model.
PTC Creo Parametric
|Product / Module||
PTC Creo Behavioral Modeling Extension
|Product Functional Area||
Simulation - Behavioral Modeling
|User Interface Location||Click Analysis > Statistical Design Study.|
|Processes, Initiatives, and Best Practices||
Benefits and Description
You can analyze the statistical properties of almost any CAE measurement in your model, based on statistical distributions assigned to model dimensions or parameters. In conjunction with other PTC CAE tools, use Statistical Design Studies to answer questions such as these:
- How can statistical dispersion of material properties affect the stress and deformation of my design?
- How are the clearances between mechanism parts in motion affected by statistical effects on the size and shape of the parts?
- What is the standard deviation of the mass and volume of my design, given the statistical dispersion of some critical dimensions?
- What is the best combination of dimension values that will minimize the standard deviation of a desired design property?
Analyzing statistical effects on CAE measurements is an important asset in support of Six-Sigma initiatives, Strategic Design Planning, and Root Cause Analyses.