HFSS Optimetrics
Optimetrics is a feature that automates the process of determining the best design variation among a number of possible options. Create the original model and define the design parameters that vary. These parameters can be nearly any design characteristic assigned a numeric value in HFSS. For example, you can parameterize the model geometry, material properties, or boundary conditions. You can then perform the following types of analyses on your nominal design:
|
Parametric |
Define one or more variable sweep definitions, each specifying a series of variable values within a range, and HFSS solves the design at each variation. 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. |
|
Optimization |
Identify the cost function and the optimization goal. Optimetrics changes the design parameter values to meet that goal. |
|
Sensitivity |
Optimetrics explores the space in the vicinity of the design point to determine the sensitivity of the design to small changes in variables. |
|
Tuning |
Tuning allows you to change variable values interactively while monitoring the performance of the design. |
|
Statistical |
Optimetrics allows you to explore the effects of various combinations of selected variables on specified analysis results. These effects are presented as a statistical distribution of a user-specified type (such as Uniform, Gaussian, or other types). |
|
Design of Experiments |
Design of Experiments (DOE) is a technique used to scientifically determine the location of sampling points and is included as part of the Response Surface, Goal Driven Optimization, and Analysis systems. |
|
DesignXplorer |
An optimization tool, used with Design of Experiments (DOE), for studying a range of design variations. It can launch Ansys Electronics Desktop and manage DOE and optimization simulations. |
In this guide, you will perform a Parametric analysis and an Optimization analysis.