HS-1700: Simple DOE Study

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

  1. Add a DOE.
    1. In the Explorer, right-click and select Add from the context menu.
      The Add dialog opens.
    2. For Definition from, select an approach.
    3. Select DOE and click OK.
  2. Go to the DOE 1 > Specifications step.
  3. In the work area, set the Mode to Full Factorial.
  4. 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.
  5. Click Apply.
  6. Go to the DOE 1 > Evaluate step.
  7. 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.

  1. Go to the DOE 1 > Post-Processing step.
  2. Review linear effects.
    1. Click the Linear Effects tab.
    2. Above the Channel selector, click to plot the linear effects.
    3. Using the Channel selector, select both input variables and output responses.
    4. 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.
  3. Review interactions.
    1. Click the Interactions tab.
    2. Using the Channel selector, set Variable A to Area 1 and Variable B to Area 2.
    3. 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.