Master Physics-Driven Generative
Design for Thermal Systems
Master Physics-Driven Generative Design for Thermal Systems
Four live, hands-on sessions that take you from CAD geometry to CFD-validated, optimized designs with ToffeeX.
What you'll learn
In these 4×45-minute episodes, you’ll learn how to:
- Extract the right design domain from CAD and get started in ToffeeX
- Use 2D and 3D approaches to explore cooling design alternatives
- Run CFD in ToffeeX to compare performance and validate results
- Apply patterning and seeding to guide optimization
Episode 1: From CAD to 3D Topology Optimization
12 March · 16:00 CET
Turn a real CAD model into a clean design domain and set up your first thermo-fluid optimization run in ToffeeX.
Episode 2: 2D Extruded Approach - When and How
26 March · 16:00 CET
Learn when a 2D extruded approach is ideal, how to define the domain correctly, and what the speed versus fidelity trade-off looks like.
Episode 3: ToffeeX as Your CFD Engine
9 April · 16:00 CET
Close the loop with CFD inside ToffeeX: simulate, compare designs fairly, and decide what goes to prototype or further high-fidelity validation with flagship tools.
Episode 4: Advanced Features - Patterning and Seeding
16 April · 16:00 CET
Steer optimization to explore design families using patterning and seeding design constraints.
Who this is for
This hands-on series is for engineers who want generative design they can explain and manufacture:
- Mechanical, thermal, and simulation engineers
- Design engineers working on heat sinks, cold plates, manifolds, and cooling devices
- Engineering managers who want more exploration without blowing up timelines
If you want to know how physics-driven generative design can help you reach better performance faster, these sessions are built for you.
Why this series, why now
Most “generative design” content is either marketing fluff or black‑box magic. With ToffeeX, we’re doing something different:
- Physics‑driven, not guess‑driven – full multiphysics optimization, not AI-guessed shapes.
- Explainable – you control objectives, constraints and outcomes.
- Manufacturing‑aware – constraints for AM and conventional processes are built into the optimization, so designs are ready to be made.
We’ll use one concrete example throughout – a liquid‑cooled heat sink- to show the full workflow end‑to‑end.
Why engineers choose ToffeeX webinars
Practical sessions that take you from setup to manufacturable designs.