Training:
You can find all relevant data for this tutorial in the Example folder! ("C:\Program Files\MSC.Software\MSC Apex Generative Design\2019\Examples")
Step 1: Create a new project
In a first step, you need to create a new project. All data (geometry and configuration) will be copied and saved directly in a new project folder, located in your workspace:
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Enter a project name and save the project
Open the newly created project
Step 2: Model generation
Upload all relevant stl files by clicking on the symbol in the objects/surfaces area
Select all stl files
The field at the bottom shows notifications to help you generate an optimization model
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Activate the option design space for the relevant stl file. Only one volume can be selected as such.
In this case: Bookshell_B01 - Design-1
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Step 3: Definition of boundary conditions
Go to the boundary conditions tab to enter the loads and fixations. For each boundary condition a name, a space and the specification of the boundary condition is entered as follows:
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Active in Loadcase1: Force_1, Fixation_1, Fixation_2, Fixation_3
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Step 4: Definition of optimization parameters
Switch to the optimization area. You can find more information about the parameter selection here.
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You can always change the design type, stress and solverMaxMemory to influence the results and try out different options. You can find further information here.
Step 5: Save the Project
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Step 6: Starting the optimization and visualizing the results
If all data are correct, the optimization can be started and tracked in the results area.
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The optimization is finished after 64 iterations (optimizationtype: optimizing).
Step 7: Visualization of Stresses
The legend can be influenced using the slider. The function "Automatically set to local minimum and maximum" considers the stresses of each iteration and sets the values from the current iteration.
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Step 8: Visualization of Displacements
The legend can be influenced using the slider. The function "Automatically set to local minimum and maximum" considers the displacements of each iteration and sets the values from the current iteration.
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Step 9: Influence of different settings
By varying the settings the optimization results can be influenced
The solverMaxMemory
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filigree
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normal
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massive
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can set up for a higher resolution (increased calculation time!). You can find further information here.
The Design Type influence the strucures which are formed during optimization. You can find further information here.
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