2024.1
Evaluate designs by using geometric variables and applying a design-of-experiments (DOE) or optimization method. We recommend fully constraining your sketch when sketch variables are used in the design exploration.
Use the Evaluate tools to run the exploration and review reports.
Use the Results Explorer tool to review results.
Use the Results Explorer tool to review results for optimizations.
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Create parametric sketches, geometry, and PolyNURBS with construction history and variables.
Create implicit models with primitives, lattices, point clouds, fields, offsetting, Booleans, inverting, smoothing, morphing, and filleting.
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.
Prepare and run a computational fluid dynamics simulation.
Create and assign variables to parametrize a model. This allows you to quickly iterate and compare design concepts by tweaking the values of the variables.
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.
Goals comprise objectives and constraints.
Export files to the output directory and run the exploration simulations.
Use the Results Explorer tool to review results for DOE.
Once an exploration is complete, review a summary of design variables and output response values in tabular format.
Plot a 2D chart of the input variable and output response values for each run in an Optimization exploration.
Plot the iteration history of an Optimization exploration's objectives, constraints, input variables and unused output responses in a 2D chart.
Plot exploration inputs and outputs.
Set up and run a basic porosity or thinning analysis.
Prepare and run an additive manufacturing simulation, and export a file for 3D printing.
Adjust the materials and environment of objects in the scene to create a photorealistic image.
Learn how to access the Inspire Python API including online help, quick start demos, and the Extension Manager.
View the glossary, frequently asked questions, and errors and alerts.
Learn keyboard shortcuts and mouse controls for common operations.
