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VTOL Cabin Thermal Comfort CFD

VTOL, eVTOL & UAM
FEA | CFD & AI Integration
Physics-Informed Neural Networks (PINNs)
Artificial Intelligence Analysis
VTOL Cabin Thermal Comfort CFD, Ansys, Simulia, Siemens, Integrated FEA | CFD with Artificial Intelligence & Machine Learning
Artificial Intelligence & Machine Learning Powers the Future of Simulation.
Simulation Dynamics

Passenger thermal comfort is a critical design criterion for VTOL/eVTOL cabins. Traditional mock-up tests are costly and time-intensive, yet provide only limited insight early in development.

At Simulation Dynamics, we harness CFD tools—MSC Cradle, OpenFOAM, STAR-CCM+, and ANSYS Fluent—to predict cabin comfort and support interactive layout optimization.

  • ▶ Model 3D cabin geometry and occupant zones
  • ▶ Simulate airflow and thermal fields
  • ▶ Optimize air-outlet placement & ducting
  • ▶ Iterate layout for uniform comfort

This workflow yields design-spec compliance for cabin airflow, temperature uniformity, and occupant sensation—delivering validated, high-fidelity comfort maps ahead of physical prototyping.

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