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Goal of this tutorial

  • Get to know the workflow of consolidating parts

  • Get used to the different geometry tools assisting the Design Space creation

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Training:

Relevant data for this tutorial:

View file
nameTutorial_Part_Consolidation.x_t

Step 1: Start MSC Apex Generative Design

The program starts and you can directly create your optimisation model

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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.

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  • Open the Optimisation Tools and click on the Design Space Tool Tool

  • Choose the option Create Design Space enclosing parts and choose the three parts you want to consolidate

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

  • The specific values needed are the Young's Modulus (70000 MPa), Poisson ratio (0.27) and Density (2.7e-6 kg/mm3)

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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 four forces and one moment are defined. The first two on both of the upper Non-Design Spaces and the last three on the Non-Design Space that is connected to the sensor:

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Three constraints are created and attached on the Non-Design Spaces on the lower side:

Name

Direction

Constraint 1

x, y, z (=0)

Constraint 2

x, y, z (=0)

Constraint 3

x, y, z (=0)

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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 GD 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, Force-Moment 3, Force-Moment 5, Constraint 1, Constraint 2 and Constraint 3

  • Active in Event1: Force-Moment 2, Force-Moment 4, Constraint 1, Constraint 2 and Constraint 3

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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 is provided and the optimisation can start.

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

Generative Design

  • You can always change the Strut Density, Stress Goal and Complexity to influence the results and try out different options

  • The Complexity can be increased for a higher resolution and more detailed result (increased calculation time!)

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

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View file
nameTutorial_Part_Consolidation_2021.7z

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