2022
Evaluate designs by using geometric variables and applying a design-of-experiments (DOE) or optimization method.
Goals comprise objectives and constraints.
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Create parametric sketches, geometry, and PolyNURBS with construction history and variables.
Set up your model and run a structural analysis or optimization.
Set up and run a motion analysis, plot the results, and export the results.
Create and assign variables to parameters when modeling.
The Design Explorer Browser displays a hierarchical view of your design setup and can be used to enable and disable exploration parameters.
An exploration is a DOE or optimization simulation. Each exploration must include design variables and responses. Optimizations must also include an objective and optionally constraints.
Design variables are changes of the geometric variables that influence the performance of certain analyses. Geometric variables may be sketch dimensions, lengths, angles, or push/pulls. Geometric constraints are minimum and maximum values for the defined variables. These constraints are specified in the Design Variable tab and the variable's value will vary within the exploration.
An output response is a measurement of system performances, such as mass, volume, displacement, or stress.
Objectives are metrics to be minimized or maximized in an optimization exploration. Common examples are minimizing displacement to find the stiffest design for a system or minimizing mass to find a lightweight design.
Constraints can be added to an optimization and need to be satisfied for a feasible exploration.
Use the Evaluate tools to run the exploration and review reports.
Set up and run a basic porosity or thinning analysis.
Preapare and run an additive manufacturing simulation, and export a file for 3D printing.
Learn how to access the Inspire Python API including online help, quick start demos, and the Extension Manager.
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