Perform automatic checks on CAD models, and identify potential issues with geometry that may slow down the meshing
process using the Verification and Comparison tools.
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. Optimization explorations require
an objective.
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.
Design variables can be linked to one another to ensure that their values remain the same throughout the exploration.
This is useful in cases of symmetry or when it is known, for example, that two parts will have the same thickness.
In addition, reducing the number of independent variables will reduce the number of runs required for the
exploration.
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.
Many essential utility tools using HyperWorks-Tcl have been developed over the years to support Aerospace customers. A few tools have been collected and upgraded to
be compatible with this release.
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.