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 Ansoft Designer / Ansys Designer 在线帮助文档：
Optimetrics >
Defining Variable Design Parameters
Defining Variable Design Parameters
After you create an original model, the nominal
design, optimetrics allows you to then define
the variable design parameters, which can be nearly any design parameter
assigned a numeric value. For example, you can parameterize the model
geometry, material properties, or component values, then perform the
following types of analyses on your nominal Designer design:
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Parametric
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Define one or more variable
sweep definitions, each specifying a series of variable values
within a range. Optimetrics solves the design at each variation. You
can then compare the results to determine how each design variation
affects the performance of the design. Parametric analyses are often
used as precursors to optimization solutions because they help to determine
a reasonable range of variable values for the optimization analysis.
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Optimization
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Identify the cost function and
the optimization goal. Optimetrics changes the design parameter values
to meet that goal. The cost function can be based on any solution quantity
that Designer can compute, such as field values, S-parameters, and eigenmode
data.
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Sensitivity
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Optimetrics explores the vicinity
of the design point to determine the sensitivity of the design to small
changes in variables.
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Statistical
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Optimetrics determines the distribution
of a design's performance, which is caused by a statistical distribution
of variable values.
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Tuning
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Variable values are changed interactively
and the performance of the design is monitored.
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Constraints
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A linear constraint defines the
linear relationship between variables. Setting linear constraints in
Optimetrics is useful for establishing limitations involving linear
combinations of variable values.
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