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Goal of this tutorial
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Training:
Relevant data for this tutorial:
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The program starts and you can directly create your optimization 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.
Import/create the Design spaceSpace including the Nondesign spaces Non-Design Spacesin MSC Apex Generative Design 2020 as one solid. For this Bookshelf the already prepared Design spaceSpace was imported.
Create the material in the Materials editor and assign it to the Design spaceSpace
The specific values needed are the Young's Modulus (192372 MPa), poisson Poisson ratio (0.3) and density Density (7.97e-6 kg/mm3)
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Nondesign spacesNon-Design Spaceshave to be selected using the Optimization optimisation Tools. In this case the top plate is created as a Nondesign spacesNon-Design Spaces with an offset of 1 mm and the three screw holes are being used with an offset of 3 mm for each.
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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 |
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Force - Moment 1 | Force on cell | z | -1000 |
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Three constraints are created and attached on the Nondesign spacesNon-Design Spaces:
Name | Direction |
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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 Eventscan be changed by adding/deleting Eventsto the Meshless Generative Design Scenario. The assignment of the boundary conditions to the Eventscan be made in the Loads & Constrains Window. The already created loads and constraints that concern the Design spaceSpace are listed in this window and can be activated for each Eventindividually.
Active in Event1: Force-Moment 1, Constraint 1, Constraint 2 and Constraint 3
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Step 5: Definition of
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optimisation parameters
The optimization optimisation parameters are selected in the Studies Area as well.
Select the Strut Density: Medium
Select the Shape Quality: Balanced
Enter theStress Goal: 2 MPa
Don’t forget to save the project!
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Step 6: Starting the
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optimisation and visualizing the results
If all data is correct, the optimization optimisation can be started and tracked in the Post Processing. The Analysis Readiness function checks if all information is provided and the optimization optimisation can start.
All result iterations are displayed as soon as they are available. Furthermore, you are able to stop the optimization optimisation in this selection area. However, a restart Restart is not directly possible.
The optimization optimisation is finished after 64 iterations (Shape Quality: Balanced).
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Generative Design
You can always change the Strut Density, Stress Goal and Complexityto influence the results and try out different options
The Complexitycan be increased for a higher resolution and more detailed result (increased calculation time!)
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The Strut Densityinfluences the structures which are formed during optimizationoptimisation
The optimizations optimisations below show the influence of the Strut Density when nothing else is changed.
Strut Density: Medium
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Strut Density: Dense
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Strut Density: Sparse
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Step 7: Visualization of Stresses, Displacements & Mass
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The mass of each iteration can be visualized with a diagram
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The whole MSC Apex Generative Design 2020 project with all results can be downloaded here:
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You might also be interested in these tutorials:
Generative Design - GD- PressureBracket
Restart OptimizationOptimisation