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Training:

Relevant data for this tutorial:

Step 1: Start MSC Apex Generative Design 2020

The program starts and you can directly create your optimization 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.

  • Import/create the Design space including the Nondesign spaces in MSC Apex Generative Design 2020 as one solid. For this Bookshelf the already prepared Design space was imported.

  • Create the material in the Materials editor and assign it to the Design space

  • The specific values needed are the Young's Modulus (210e3 MPa), poisson ratio (0.3) and density (7.8e-6 kg/mm3)

  • Nondesign spaces have to be selected using the Optimization Tools. In this case the three screw holes are being used and a Nondesign space with an offset of 2 mm is created for each.

  • Furthermore the top plate is created as a Nondesign space with an offset of 3 mm

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.

  • Active in Event1: Force-Moment 1, Constraint 1, Constraint 2 and Constraint 3

Step 5: Definition of optimization parameters

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

Don’t forget to save the project!

Step 6: Starting the optimization and visualizing the results

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

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

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

Generative Design

  • The Strut Density influences the structures which are formed during optimization

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

Strut Density: Medium

Strut Density: Dense

Strut Density: Sparse → one Fixation was sorted out by the optimization algorithm because it was not necessary to reach the goal of the optimization!

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.

  • The mass of each iteration can be visualized with a diagram

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