Objective:
Learn how to run a field optimization.
1. Creating a Parametric FE Model
2. Define the Objective
3. Define the Constraint
4. Run the Field Optimization
5. Field Optimization PostProcessing
Procedure:
What is Field Optimization? Field optimization is a numerical design operation that optimizes design parameter values within the bounds of a design space (based on a set of objectives and constraints). Field optimization allows the user to run an optimization algorithm on specific parameters such as lattice or shell thickness to achieve the best geometry for the desired objective (while considering complex and multivariate design constraints).
Before starting with field optimization, we have two requirements: FE Volume Mesh and Boundary Conditions (BCs) to apply the Constraints. Follow the instructions in the links below to prepare your model for field optimization.
FE Mesh
Boundary Conditions (BCs)
 How to choose boundaries of an FE Mesh  FE Boundary by Body
 How to choose boundaries of an FE Mesh  FE Boundary by Body
 How to use Boundary Conditions
 How to use a CAD Face in a boundary condition
1. Creating a Parametric FE Model
Follow this link to learn about FE Models and how to create them. The Parametric FE Model would need one of the Parametric FE Components as an input.
What are different Parametric Components available? There are 4 available Parametric Components could be used as input to the Parametric FE Model. You would have to choose a component based on what you wish to optimize and achieve as a result. You can learn more about each component and how it is Parametrized by clicking the Learn More link on the block.
Parametric Component  Design Parameters  Field Optimizable Design Parameters  
Parametric Lattice Component  Unit Cell, Boundary Behaviour, Cell Size 


Parametric Shell Component 


Parametric ShellInfill Component  Unit Cell, Cell Size 


Parametric Voronoi Component 

Fill in the other inputs' Material, Min, and Max allowable values for optimization.
Note: The Initial value is only used for visualization purposes, whereas the Min and Max are used to drive the field optimization. We highly recommend using the input to check whether your Min and Max are printable.
Tip: If you wish to optimize only the Thickness instead of the Cell size in a Parametric Voronoi Component, use a constant Cell size value for Min and Max.
Once you generate the Parametric Component, a window appears in the Viewport with several options for visualizing the results.
 Implicit view  allows you to view the resulting geometry by changing the Initial values in the input of the Parametric Component block.
 Property Fields  allows a user to view the homogenized mechanical properties of the structure across the design space before performing field optimization. The properties that can be accessed from the HUD are Relative density, Density, Young's Modulus, Poisson's Ratio, and Shear Modulus.

 State Fields  allows a user to view values of the design parameters across the design space before performing the field optimization. For example, in this case, the controllable design parameter is thickness which would be the same as our Initial input value.
2. Define the Objective
The Optimization objective is what property, or 'Design Response,' we hope to minimize or maximize within our part. nTop supports several design responses, including Structural Compliance, Volume Fraction, Displacement, and Stress.
Use the Optimization Objective block to specify the design response(s). In this example, the objective is to minimize structural compliance.
 Add a Structural Compliance Response block.
 Insert the Displacement Restraint and the Force block.
 Add an Optimization Objective block
 Set the goal to Minimize
 Insert the Structural Compliance Response into the Design Response List
3. Define the Constraint
Field optimization can also take constraints as input. Without Constraints, the optimization will probably result in parameter values at their maximum/minimum bounds. Constraints can include upper or lower limits on other Design Responses and others.
The most commonly used constraint applies a minimum or maximum bound to a design response, such as compliance, volume fraction, displacement, or stress.
This field optimization example is constrained such that the volume fraction of the final part is less than 0.4. In other words, the resulting optimized part will have a targeted volume of 40% of the whole design space. Notice that the volume fraction cutoff in the Design Response Constraint block is a variable for easy adjustment.

Add an Optimization Constraint List block
 Insert a Design Response Constraint block
 Insert a Volume Fraction Response block into the Response input
 Set the value to .4
 Optional: Rightclick on the Value input to create a variable to change the Volume Fraction quickly.
4. Run the Field Optimization
 Add a Field Optimization block,
 Insert the Parametric FE Model
 Insert the Objective
 Insert the Constraints
You can leave the rest of the inputs as default for this example. You can find more information on these settings in the block’s information panel and in this article. After completion of field optimization processing, a window appears in the Viewport with several options for visualizing the results.
 Implicit view  allows you to view the resulting geometry. Under the “render, as needed” dropdown, each iteration will render when you move the slider bar. Use the “render all” option in the dropdown to render more than 1 iteration at a time to view the progression of the field optimization results easily.
 Property Fields  allows you to view the mechanical properties of the resulting structure across the design space. You can display the results across the original mesh and render them in real time for any saved iteration.
 State Fields  allows you to view values of the design parameters across the design space. You can display the results across the original mesh and render them in real time for any saved iteration.
5. Field Optimization PostProcessing
To get the resultant Implicit Body, you must grab the Implicit chip from the Properties panel (optimized model > parametric fe components > Properties > body).
 Add a Boolean Union block
 Input the Smoothened Body and the Interface Bodies
 Set the Blend radius to 2 mm (to keep the transitions between bodies congruent)
Lastly, perform a Boolean Intersect operation with your part and the original CAD body to ensure that you preserve the interfaces of the original design space.
And that’s it! You’ve successfully performed a field optimization.
Are you still having issues? Contact the support team, and we’ll be happy to help!
Comments
Great introduction to the design method!
Will the result scalar fields be available as block properties in the future? It would be interesting to e.g. optimise for a shellinfill component, but then manually replace the rectangular lattice with a conformally mapped lattice while keeping the optimisation density.
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