Learn how to create various approaches (Design of Experiment, Approximation, Optimization, Stochastic) and explore
a variety of tools and post processing methods offered by HyperStudy.
Learn how to set up a DOE study on simple functions defined using a Templex template.
Before you begin, complete HS-1010: Set Up a Simple Study or import the HS-1010.hstx archive
file, available in <hst.zip>/HS-1700/.
The base input template defines two input
variables; DV1 and DV2, labeled X and Y, respectively. The objective of the study is to
investigate the two input variables X, Y forming the two functions: X+Y and 1/X + 1/Y –
2.
Run DOE
Add a DOE.
In the Explorer, right-click and select
Add from the context menu.
The Add dialog opens.
For Definition from, select an approach.
Select DOE and click OK.
Go to the DOE 1 > Specifications step.
In the work area, set the Mode to Full
Factorial.
In the Channel selector, click the Levels tab, and
change the number of levels from 2 to 3.
This change will spread the levels between the lower and upper bounds. Figure 1.
Click Apply.
Go to the DOE 1 > Evaluate step.
Click Evaluate Tasks.
The results of the evaluation display in the work area.
Post Process Results
In this step you will review the effects and interaction between both input variables
and output responses.
Go to the DOE 1 > Post-Processing step.
Review linear effects.
Click the Linear Effects tab.
Above the Channel selector, click to
plot the linear effects.
Using the Channel selector, select both input variables and output
responses.
Review the effects of Area 1 and Area 2 on Response 1 and Response
2.
You can observe that the effects of Area 1 and Area 2 on Response 1 are
the same (proportional with a magnitude 4.8). From the second plot, you can
observe that the effects of Area 1 and Area 2 on Response 2 are also the same
(inversely proportional with a magnitude -4.8). For information on how to
calculate the magnitude in DOE refer to Setup DOE Studies. Figure 2.
Review interactions.
Click the Interactions tab.
Using the Channel selector, set Variable A to Area
1 and Variable B to Area 2.
Review the interactions between Area 1 and Area 2 on Response 1 and
Response 2.
From both plots, you can observe that there is no interaction
between Area 1 and Area 2 for both Response 1 and Response 2. Figure 3.