MV3000: DOE using MotionView  HyperStudy
 Use HyperStudy to setup a DOE study of a MotionView model
 Perform DOE study in the MotionView – HyperStudy environment
 Create approximation (using the DOE results) which can be subsequently used to perform optimization of the MotionView model
Theory
HyperStudy allows you to perform Design of Experiments (DOE), optimization, and stochastic studies in a CAE environment. The objective of a DOE, or Design of Experiments, study is to understand how changes to the parameters (design variables) of a model influence its performance (response).
After a DOE study is complete, approximation can be created from the results of the DOE study. The approximation is in the form of a polynomial equation of an output as a function of all input variables. This is called as the regression equation.
The regression equation can then be used to perform Optimization.
HyperStudy can be used to study different aspects of a design under various conditions, including nonlinear behavior.
 Provides a variety of DOE study types, including userdefined
 Facilitates multidisciplinary DOE, optimization, and stochastic studies
 Provides a variety of sampling techniques and distributions for stochastic studies
 Parameterizes any solver input model via a userfriendly interface
 Uses an extensive expression builder to perform mathematical operations
 Uses a robust optimization engine
 Includes builtin support for postprocessing study results
 Includes multiple results formats such as MVW, TXT for study results
Tools
 From the Menu bar, select Applications >HyperStudy
You can then select MDL property data as design variables in a DOE or an optimization exercise. Solver scripts registered in the MotionView Preferences file are available through the HyperStudy interface to conduct sequential solver runs for DOE or optimization.
For any study, the HyperStudy process is shown below:
The HyperStudy Process
MotionView MDL files can be directly loaded into HyperStudy. Any solver input file, such as MotionSolve, ADAMS, or Abaqus, can be parameterized and the template file submitted as input for HyperStudy. The parameterized file identifies the design variables to be changed during DOE, optimization, or stochastic studies. The solver runs are carried out accordingly and the results are then postprocessed within HyperStudy.
Copy the files hs.mdl and target_toe.csv, located in the mbd_modeling\doe folder, to your <working directory>.
In the following steps, you will create a study to carry out subsequent DOE study on a front SLA suspension model.
While performing a Static Ride Analysis, you will determine the effects of varying the coordinate positions of the origin points of the inner and outer tierod joints on the toecurve.
Step 1: Study Setup
Or, from the menu bar, select
.Step 2: DOE Study
Step 3: Approximation
System response is approximated by using various curve fitting methods. An approximation for the response with the design variables variation is calculated using the data from above DOE study. The accuracy of the approximation can be checked and improved.

Adding an approximation.

Define specifications.