FAST Computing
FAST Computing

Convective
Stream.

Real-time thermal analysis by combining conjugate heat transfer with reduced-order models. Explore, analyze, and optimize natural convection systems instantly.

What it does.

ConvectiveStream gives engineers a fast design surface for thermal systems governed by natural convection. Physics-based feedback at every step, without waiting for a full CFD solve.

Conjugate heat transfer

Solid and fluid domains solved together, capturing the real thermal coupling between walls and flow.

Reduced-order models

Trained on high-fidelity simulations, the model responds in real time while preserving the dominant physics.

Natural convection

Buoyancy-driven flows where temperature gradients create motion — the core mechanism in electronics cooling, building physics, and heat exchangers.

How it works.

The workflow mirrors a real thermal design cycle: define geometry, set boundary conditions, and watch the thermal field respond.

  1. Geometry and boundary conditions

    Import the thermal domain. Define hot and cold surfaces, material properties, and ambient conditions.

  2. Reduced-order model

    A ROM trained on parametric CFD runs replaces the expensive solve. The model generalizes across the design space it was trained on.

  3. Real-time exploration

    Change boundary conditions, geometry proportions, or material assignments and see the thermal field update instantly.

  4. Validation and handoff

    Promising configurations are validated against full-order CFD. The ROM narrows the search before the expensive solve begins.

Where it applies

  • Electronics enclosure thermal management
  • Building physics and facade analysis
  • Heat exchanger design optimization
  • Industrial furnace and kiln thermal profiling
  • Medical device thermal safety

Limits of this model

  • Forced convection and turbulence models not included in this preview
  • Radiation heat transfer not modelled
  • Material library limited to common engineering alloys and fluids
  • ROM valid only within the training domain of the underlying CFD data