Training:

Relevant data for this tutorial:

Step 1: Start MSC Apex Generative Design 2020

The program starts and you can directly create your optimisation model

Step 2: Model generation

You can either create the geometry directly in MSC Apex Generative Design or import already existing files. You can import .xb, .xt, .step, and .sldprt files into the program.

Step 3: Definition of boundary conditions

Go to the Loads & Boundary Condition Tool to enter the loads and fixations. Displacements, Forces, Moments, Gravity and Pressure Loads can be applied using different selection options.

In this case one force is defined (on the top plate):

Name

Force/Moment/Pressure/Gravity

Direction

Value in N

Force - Moment 1

Force on cell

z

-1000

Three constraints are created and attached on the Nondesign spaces:

Name

Direction

Constraint 1

x, y, z (=0)

Constraint 2

x, y, z (=0)

Constraint 3

x, y, z (=0)

Step 4: Definition of load cases

The next steps are defined in the Studies area.

All boundary conditions must be assigned to the specific load cases, which are defined as Events. The number of Events can be changed by adding/deleting Events to the Meshless Generative Design Scenario. The assignment of the boundary conditions to the Events can be made in the Loads & Constrains Window. The already created loads and constraints that concern the Design space are listed in this window and can be activated for each Event individually.

Step 5: Definition of optimisation parameters

The optimisation parameters are selected in the Studies Area as well.

Don’t forget to save the project!

Step 6: Starting the optimisation and visualizing the results

If all data is correct, the optimisation can be started and tracked in the Post Processing. The Analysis Readiness function checks if all information are provided and the optimisation can start.

All result iterations are displayed as soon as they are available. Furthermore, you are able to stop the optimisation in this selection area. However, a restart is not directly possible.

The optimisation is finished after 64 iterations (Shape Quality: Balanced).

Generative Design

The optimisations below show the influence of the Strut Density when nothing else is changed.

Strut Density: Medium

Strut Density: Dense

Strut Density: Sparse

Step 7: Visualization of Stresses, Displacements & Mass

The legend can be influenced in different ways. You can add and reduce the stress/displacement steps, enlarge different steps and set new minimum and maximum values.

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