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Behavior v/s simple modeling

bimalpsheth

New member
Hi All,


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I've confusion about, what is the difference between simple modelling and behavior modelling? Is there any extra features available for behavior modeling?


And what's conceptual design? Is there any relation of conceptual design and behavior modelling?


Please calrify doubts.


Thanks,


Bimal
 
BMX lets you add analysis features. They analyze the design then can provide input back into the design. They can be very simple in many cases, like measurements. Or complex like miltivariable design of experiments.


Conceptual design sounds like marketing words. Its generic to me, design of a concept.
 
Another tweak of BMX is that it lets the software compute for variable dimensions that is needed to satisfy your design intent that doesn't conflict with your initial shape( I think I saw once in this site an example ofcontainer using volume as basis of analysis).


Also when you create your model you take into consideration your intention in the design were you can input your analysis so that BMX can work on. Example starting from solid or surface or vice-versa.


Conceptual design is an initial stage in design developement. Data may be in conflict with the each other, like measurements for eample. Mainly it relies on the asthetics than the function. Behavioral Modeling takes the functiion of the object and make it fit the asthetics.
 
Behavioral modeling is the ultimate in feature based parametric modeling, allowing you to build as much of your design intent into the actual model as possible.


In its simplest form, behavioral modeling has two main components:
<UL>
<LI>Datum Analysis Features</LI>
<LI>Feasibility and Optimization Studies</LI>[/list]


Datum Analysis Features allow you to store calculations -- such as distances, gaussian curvature, relations, motion analyses -- as features in your model. These calculations can generate parameters (which then can be used in subsequentrelations) and other datum features (e.g., create a Csys at the center of gravity).


AFeasibility Study allows you to specify design constraints (e.g., a calculated volume must be greater than x, a distance must be greater than y) and you specify design variables that you allow Pro E to change within a given range in order to achieve these design constraints. An optimization study allows you to specify a goal on top of this. There may be multiple possible solutions for a Feasibility Study; once the algorithm finds the first acceptable solution, it stops. With the Optimization Study, perhaps we want to find the solution that gives us the minimum mass. An Optimization Study allows you to maximize or minimize some other quantity in your model.


The beauty of this is, you can create the Feasibility / Optimization Study as a feature in your model tree (and control its regeneration).


Imagine you have a design change -- your part has to become 2 inches shorter. This design change may result in your model no longer meeting your design constraints. So using standard modeling, you have to change dimensions, re-calculate, see if the changes meet your constraints, and repeat until you find an acceptable solution.


With behavioral modeling, on the other hand, this knowledge is built into your model. Make a design change, and the datum analysis features re-calculate the important quantities, and the feasibility / optimization studies change the other dimensions as necessary, saving you immense time and effort.


There's more to BMX, like Multi-Objective Design Studies and User Defined Analyses, but it's real neat stuff.
 

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