By Mike Brucker
Thank you to everyone who joined us live for the brief Introduction to Creo Parametric Behavioral Modeling webcast. The topics presented in the webcast can be further understood by attending the Creo Parametric Behavioral Modeling course with Rand 3D. If you would like to review the webcast again, or you did not have a chance to view it live, you can access it here.
The webcast taught us how to use the Creo Behavioral Modeling extension to drive model geometry toward specified design requirements using the Feasibility study. We then looked at how optimize our model geometry. Before running a feasibility or optimization study, we first explored how to create Datum Analysis Features and User-Defined Analyses. These tools are used to perform calculations and measurements on your model, and then create parameters for those measurements and calculations such as the model’s mass and center of gravity. Next, a Feasibility study could be setup to explore if a specified design requirement could be meet within a range of parameter values. In our specific example we looked at the feasibility of locating a model’s center of gravity on a specific axis by varying the size of a counter-weight. First, we created an analysis feature that measured the current distance from the COG to the Axis.
Then, we could setup a feasibility study to determine if the COG could be moved to the axis by varying the counter-weight dimensions through a specified range of values.
That feasibility study iterated the counter-weight dimensions through that range of values until the center of gravity was on the axis.
However, this solution of counter-weight dimension values was not necessary the only combination of dimensions that would accomplish the goal of having the COG on the axis. From there we ran an optimization study to find the particular dimension values that not only located the COG on the axis, but also yielded the model with the least mass.
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Follow-up Q&A
As usual, there were many excellent questions posed during the webcast. Here are some answers to those question.
Q: Can you drive the model density using the Behavioral Modeling tools?
A: Yes. You may use the MP_DENSITY Parmenter in the Behavioral Modeling tools.
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Q: How do you add columns to the Model Tree to display parameter values?
A: At the top of the Model Tree select Settings > Tree Columns
Then choose the type of column to add (such as Model Params):
Next, select the parameter name and the double arrow:
Choose OK, and the column will be displayed in the Model tree.
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