Steady-state and transient CFD simulations
Steady-state and transient CFD simulations for internal and external flows, both subsonic and supersonic. We model compressible and incompressible fluids, with or without heat transfer. Applications include component cooling, enclosure ventilation, aerodynamic optimization, flow through valves or ducts, and pressure drop analysis. We also support turbulence modeling, cavitation effects, and fluid–structure interaction.
Reactor heat transfer
Predict the detailed temperature distribution within the reactor core and critical components under operating conditions.
Identify potential hot spots and evaluate peak temperatures to ensure safe operation and prevent material degradation.
Assess the efficiency and effectiveness of the reactor's cooling system or heat removal mechanism.
Validate the thermal design against safety limits and regulatory requirements.
Used Ansys Fluent for detailed Conjugate Heat Transfer (CHT) simulations, coupling fluid flow and heat conduction in solids.
Modeled the complex reactor geometry, meshing techniques within Ansys.
Realistic physics including heat generation, turbulent flow of the coolant, and heat transfer mechanisms (convection, conduction).
Boundary conditions representing power levels, coolant inlet/outlet conditions, and thermal insulation/heat loss.
Coupled thermal-fluid equations to obtain comprehensive temperature maps and flow field data throughout the reactor domain.
Reduced the need for expensive and potentially hazardous physical thermal testing of reactor components.
Accurately predicted temperature profiles, enabling proactive design modifications to eliminate critical hot spots and enhance safety margins.
Wind turbine efficiency analysis
Maximize rotor aerodynamic efficiency for optimal energy capture.
Optimize blade design (airfoil, twist, chord) for varying wind conditions.
Predict aerodynamic loads and resulting torque accurately.
Understand airflow behavior: boundary layer, separation, wake.
Solver: Ansys Fluent
High-fidelity mesh for blades and surrounding domain in Fluent Meshing.
Realistic conditions: wind speed, pressure, rotation effects.
Used MRF model to simulate blade rotation (steady-state).
Extracted Cp, Ct, pressure, velocity, and streamlines from results.
Measured aerodynamic gains from iterative design improvements.
Reduced wind tunnel testing through virtual performance evaluation.
Detailed airflow data helped address stall and noise issues.
Improved AEP and lowered LCOE through optimized performance.
CFD for cabinet battery
Keep battery temperatures within optimal limits to ensure performance and extend lifespan.
Predict thermal behavior under different ambient conditions and loads.
Detect and address hot spots inside the cabinet.
Optimize thermal management (fans, vents, layout) for efficient cooling.
CFD simulation in Ansys Fluent for airflow and heat transfer inside the cabinet.
Boundary conditions: heat generation, fan specs, ambient temp, vent setup.
Coupled momentum and energy equations for temperature and airflow prediction.
Generated contours, cross-sections, and streamlines for flow visualization.
Maintained safe battery temperatures, increasing cycle life and avoiding thermal issues.
Highlighted weak cooling zones and supported design improvements.
Reduced need for physical prototypes via virtual testing.
Improved reliability and safety under peak load conditions.
Visualized airflow paths to optimize cooling and fan power use.
