Versions Compared

Key

  • This line was added.
  • This line was removed.
  • Formatting was changed.

Include Page

...

Plate With a Hole Optimization - Panel

...

Plate With a Hole Optimization - Panel
Include Page
ANSYS Google Analytics
ANSYS Google Analytics

Note

This tutorial was created with an older version of ANSYS (14.5), where the mesh generator and the refinement process was not as strong as it is now. This will result in a different solution than the one shown. (In ANSYS 16.1, the optimization results in a radius of ~1.25in-1.27in and in ANSYS 2019 R2 the optimization results in a radius of ~1.11-1.13in)

Verification & Validation

As with any numerical method verification and validation of great significance. As mentioned earlier, there is no analytical solution for the finite plate with a hole. Thus, the results can not be compared to theory. Thus, in this section other verification and validations will be used. First, the solution will be examined as the mesh is refined to see if it has converged. Additionally, the optimization results will be verified by using different optimization methods and comparing results.

Mesh Refinement

The mesh refinement was carried our for the Candidate A case from the second optimization. That is the radius of the hole was set to 1.4725 inches.

...

convergence criteria which was inserted earlier was used to view the effect of mesh refinement with a radius of 1.4853 inches.

Number of Elements

Equivalent Von Mises Stress (PSI)

1

Percent Change

239

244

32,

480

495

0.5

 

536

775

32,

718

712

0.

25

1,840

32,695

6656

As one can see from the data above, over the course of the mesh refinement, the equivalent Von Mises Stress only changes by less than one percent. Thus, the solution has been verified with respect to mesh refinement. However, notice how the equivalent Von Mises Stress now lies above our constraint. While our optimization looked promising, we had not taken into account the slight change in results from a finer mesh. 

Optimization Methods

The optimization was carried using each of the four optimization methods offered in ANSYS workbench. Note that the default optimization method in ANSYS was Screening but now is ScreeningMOGA.

Optimization Method

Radius (In)

Volume (In^3)

Equivalent Von Mises Stress (PSI)

Screening

1.

4725

3278

9.

8297

8615

32,

498

484

MOGA

1.

4734

3267

9.

8295

8618

32,

499

500

NLPQL

1.

4738

3291

9.

8294

8613

32,

500

503


As one can see from the table above, there is no significant differences between the results from the four methods.

Return to: Problem Specification

See and rate the complete Learning ModuleGo to Exercises

Go to all ANSYS Learning Modules