Examining the Results of Design Studies
To save your time, we ran some design studies for all the design variables and provided the results in
Table 1. These results are from individual design studies of each design variable, keeping the rest of the variables fixed at their nominal value.
The results help you determine which design variables you should use for your optimization study, because they represent a summary of the sensitivity of the clamping force magnitude to a given change in the geometric location, keeping all other locations fixed.
We found sensitivities by using the plot statistics function and finding the slope of the design study curve for spring force plotted against design variable value.
Table 1 Design Studies Results
Design variable names: | Design point locations: | Initial value: | Sensitivity at initial value (N/cm): | Apparent optimal value: |
|---|
DV_1 | (POINT x) | 0 | -82 | 1 |
DV_2 | (POINT y) | 0 | 56 | 0 |
DV_3 | (POINT_2 x) | 3 | 142 | 2.7 |
DV_4 | (POINT_2 y) | 3 | -440 | 3.3 |
DV_5 | (POINT_3 x) | 2 | -23 | 2.2 |
DV_6 | (POINT_3 y) | 8 | 281 | 7.6 |
DV_7 | (POINT_8 x) | -1 | 36 | -1.1 |
DV_8 | (POINT_8 y) | 10 | -287 | 10.5 |
DV_9 | (POINT_8_2 x) | -6 | -61 | -5.4 |
DV_10 | (POINT_8_2 y) | 5 | 104 | 4.5 |
Parameterization lets you see which design variables have the greatest effect on the clamping force. In this case, design variables DV_4, DV_6, and DV_8 have the greatest sensitivity.