Thermal Analysis: CFD and FEA Based Simulation

FEA & CFD Based Simulation Design Analysis Virtual prototyping MultiObjective Optimization

The effects of heat and thermal management of structures is more and more critical as performance limits are pushed further by the need to have lighter, smaller and more efficient designs. Convection, radiation and conduction loads are obvious, but the need to include the effect of power losses and thermal energy from friction and external sources such as pipe flows means that analysts need to have more tools at their disposal to simulate thermal models accurately.
We analyze system-level thermal management of vehicle component, including underhood, underbody and brake systems, and design for heat shields, electronics cooling, HVAC, hybrid systems and human thermal comfort and covers a wide range of Industries like Automotive, Aerospace, Oil and gas, marine, medical devices, heavy engineering and Industrial and consumer appliances.
Electro Motor Hybrid and electric vehicle Thermal Design cooling CFD FEA Simulation Two way FSI magnet machines Ansys Fluent Maxwell Siemens Star-ccm+ speed Jmag
Electro Motor Thermal Performance Analysis

Why we use Coupled FEA-CFD?

Finite Element Analysis (FEA) is a powerful and well recognized tool used in the analysis of heat transfer problems. However, FEA can only analyze solid bodies and, by necessity thermal analysis with FEA is limited to conductive heat transfer. The other two types of heat transfer: convection and radiation must by approximated by boundary conditions. Modeling all three mechanisms of heat transfer without arbitrary assumption requires a combined use of FEA and Computational Fluid Dynamics (CFD).

With using CFD based design optimization solutions serve as an important link for our clients to realize their product promise right from concept to realization. Our team of CFD engineers in conjunction with experienced FEA Engineers for FSI and complicated industrial multiphysics problem is delivering solutions to major engineering verticals globally.
  • Conduction, convection and radiative heat transfer
  • Conjugate heat transfer
Conjugate Heat Transfer CHT Motor vehicle Thermal Design cooling performance CFD FEA Simulation Two way FSI internal Combustion engine
Motor and vehicle Thermal Design
High Temperature Fatigue Life FEA Simulation Abaqus Ansys Nastran Fe-safe Ncode Design
Thermal Fatigue Analysis
Turbine Nozzle Conjugate Heat Transfer CHTStress and Temperature distribution Fatigue Coupled CFD FEA CHT Ansys Fluent Abaqus Nastran Openfoam Siemens Star-ccm
Turbine Nozzle: Conjugate Heat Transfer Stress and Temperature Distribution
Equipped with multi-domain knowledge and deep technical expertise, Enteknograte engineering team offers global strategic engineering and environmental consultancy that specializes in performing 1D-Multi-Physics CAE simulations, 3D FEA and CFD thermal analyses and design optimization to a wide variety of clients and industries. Typical applications include:
  • PCB Thermal Design
  • VTOL, e-VTOL and UAM – Urban Air Mobility Systems Thermal Design
  • Electronic Enclosures & Cooling Systems
  • Heat Exchanger Design
  • Heat Shield & Insulation Design & Optimization
  • Underbody and engine compartment thermal protection.
  • Brake cooling
  • Key-off/soak
  • HVAC system performance
  • Cabin and passenger thermal comfort
  • Defrost and demist
  • Thermal comfort in buildings
  • Gas turbine cooling
  • Heat Transfer in Porous Media
  • Turbo machines thermal design
  • Combustion and multiphase flows.
  • IC Engine flows
  • Thermal analysis of radiator with heat pipe


We pride ourselves on empowering each client to overcome the challenges of their most demanding projects.

Enteknograte’s Engineering team with efficient utilizing real-world transient thermal analysis with FEA – CFD coupling if needed, with FEA Solvers such as Abaqus, Ansys, LS-Dyna, Nastran and MSc Marc and computational fluid dynamics (CFD) solver like MSC Cradle, Siemens Star-ccm+ and Ansy sFluent for advanced Thermal simulation and have clear knowledge about the assumptions and simplifications that must be made to get results with required accuracy.