Browsers provide a structured view of model data, which you can use to review, modify, create, and manage
the contents of a model. In addition to visualization, browsers offer features like search, filtering, and sorting,
which enhance your ability to navigate and interact with the model data.
FE geometry is topology on top of mesh, meaning CAD and mesh exist as a single entity. The purpose of FE geometry
is to add vertices, edges, surfaces, and solids on FE models which have no CAD geometry.
An exploration is a multi-run simulation. Each exploration includes input design variables, and output responses.
Explorations may also include goals, consisting of an objective and constraints.
An input design variable is a system parameter that influences the system performance in the chosen output response.
Typical design variables may be a part's thickness, shape, or material property. Ranges, with lower and upper bounds,
are specified and the variable's value will vary within the exploration. The terms input, input design variable, and
design variable are used interchangeably.
Constraints need to be satisfied for an optimization to be acceptable. Constraints may also be associated with a DOE.
While not used in the evaluation of the DOE, constraints can be useful while visualizing DOE results. Limits on displacement
or stress are common examples.
Tools and workflows that are dedicated to rapidly creating new parts for specific use cases, or amending existing
parts. The current capabilities are focused on stiffening parts.
Use PhysicsAI to build fast predictive models from CAE data. PhysicsAI can be trained on data with any physics or
remeshing and without design variables.
Explore, organize and manage your personal data, collaborate in teams, and connect to other data sources, such as
corporate PLM systems to access CAD data or publish simulation data.
Multi-disciplinary design exploration and optimization tools.
Design Explorer enables you to explore, understand, and improve your system's designs
using methods such as design-of-experiments and optimization. By using Design Explorer,
you can make better decisions and optimize the performance, reliability, and robustness
of your systems.Figure 1.
Restriction: The Design Explorer ribbon is currently supported in the
OptiStruct, Radioss,
Abaqus, and LS-DYNA
profiles.
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 multi-run simulation. Each exploration includes input design variables, and output responses. Explorations may also include goals, consisting of an objective and constraints.
Input Design Variables
An input design variable is a system parameter that influences the system performance in the chosen output response. Typical design variables may be a part's thickness, shape, or material property. Ranges, with lower and upper bounds, are specified and the variable's value will vary within the exploration. The terms input, input design variable, and design variable are used interchangeably.
Output Responses
An output response is a measurement of system performances, such as mass, volume, displacement, stress, strain, or reaction forces.
Objectives
Objectives are metrics to be minimized or maximized in an optimization exploration. Minimizing mass to find a lightweight design is a common example.
Constraints
Constraints need to be satisfied for an optimization to be acceptable. Constraints may also be associated with a DOE. While not used in the evaluation of the DOE, constraints can be useful while visualizing DOE results. Limits on displacement or stress are common examples.