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Built upon nTop’s implicit modeling, field-driven design, and optimization capabilities, Field Optimization (FO) is a new multi-objective and multi-scale generative design technology that computes spatially varied design parameters to achieve specified design objectives.  Essentially, FO allows users to specify design parameters, optimize the parameters for a given objective, and then seamlessly post-process results into geometry ready for manufacturing.
Parametrize
Map design variables to a structure’s physical response through simulation, testing, or analytical equations.
Optimize
Set up objectives, constraints, and the upper and lower bounds of your design variables and run your optimization.
Synthesize
Automatically convert the results into editable implicit geometry for post-processing and refinement.