We sit down with Brad Rothenberg of nTop to explore how implicit modeling and signed distance fields make computer models that are robust, physics-aware and ready for fast iteration. From aircraft wings to heat exchangers and turbine cooling, we show how fields, splines, and optimization unlock design spaces that B-reps can’t handle.
• Why B‑rep models fail under topology changes
• How signed distance fields encode geometry and space
• Spline-driven aircraft surfaces and robust lofts
• Custom blocks for reusable parametric assemblies
• Duct and inlet optimization tied to flow targets
• Integrated CFD and meshless solver connections
• Heat exchangers for 3D printing and AI surrogates
• Turbine blade cooling strategies and manufacturability limits
• FEA, topology optimization, and nTop Connect SDK
• Design sprints that compress vehicle-level development
