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Design Explorer
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.

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Parametric Modeling
Create parametric sketches, geometry, and PolyNURBS with construction history and variables.
Implicit Modeling
Create implicit models with primitives, lattices, point clouds, fields, offsetting, Booleans, inverting, smoothing, morphing, and filleting.
Structures
Set up your model and run a structural analysis or optimization.
Motion
Set up and run a motion analysis, plot the results, and export the results.
Fluids
Prepare and run a computational fluid dynamics simulation.
Design Explorer
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.
- Variables
  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.
- Open the Design Explorer Browser
  The Design Explorer Browser displays a hierarchical view of your design setup and can be used to enable and disable exploration parameters.
- Explorations
  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
  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.
- Responses
  An output response is a measurement of system performances, such as mass, volume, displacement, or stress.
- Goals
  Goals comprise objectives and constraints.
- Evaluate
  Use the Evaluate tools to run the exploration and review reports.
Manufacture
Set up and run a basic porosity or thinning analysis.
Print 3D
Prepare and run an additive manufacturing simulation, and export a file for 3D printing.
Rendering
Adjust the materials and environment of objects in the scene to create a photorealistic image.
Inspire Python API
Learn how to access the Inspire Python API including online help, quick start demos, and the Extension Manager.
Reference
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Design Explorer

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.

DOE (Design-of-Experiments)

A DOE is a series of tests in which purposeful changes are made to the variables to investigate their effect upon the output responses and to get an understanding of the global behavior of a design problem. By running a DOE, you can determine which factors are most influential on an output response.

Optimization

An optimization is a mathematical procedure used to determine the best values for given design variables with a specific objective in mind.

An objective is something measured in the model through a response. A typical objective may be something like minimizing displacement, stress, or mass.

Constraints can also be added, which set conditions for responses or the variables that need to be satisfied. A typical response constraint might be the yield stress of the part. A variable constraint could be that a certain length can vary between 1–3 mm.