CFD Heat Transfer Analysis: CHT, one-way FSI and two way thermo-mechanical FSI

The management of thermal loads and heat transfer is a critical factor in the design of many mechanical products and systems. Enteknograte’s Engineering Team provides a comprehensive Steady-State and Transient CFD Thermal Analysis & Design services using Siemens Star-ccm+, OpenFoam and Ansys Fluent Flow Simulation. CFD Thermal Analysis extends the capability of FEA thermal analysis by replacing the simplistic convection boundary conditions with direct calculations of the heat transfer coefficients based on the fluid flow properties and is often referred to a conjugate heat transfer analysis.

Once the flow solution is complete and the temperature distribution in the solid bodies has been computed then the effects of thermal expansion, thermal stress, fatigue, creep and thermally induced buckling can be calculated in detail.  Effects such as temperature dependent material and fluid properties, contact conditions and other sources of non-linearity can be modeled in detail, regardless of the complexity of the system.

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 with Siemens Star-ccm+Ansys FluentAbaqus and Matlab Simulink and design optimization to a wide variety of clients and industries, such as: Aerospace, Electronic Systems, Oil & Gas and Heavy Industries.

Typical applications include:

  • PCB Design
  • Electronic Enclosures & Cooling Systems
  • Heat Exchanger Design
  • Heat Shield & Insulation Design & Optimisation
  • Underbody and engine compartment thermal protection.
  • Brake cooling
  • Key-off/soak
  • HVAC system performance
  • Cabin and passenger thermal comfort
  • Defrost and demist
  • Heat exchanger cooling
  • Thermal comfort in buildings
  • Gas turbine cooling
  • Heat Transfer in Porous Media
CFD Heat Transfer with Siemens Star-ccm+ and Ansys Fluent
Motor and vehicle Thermal Design cooling performance CFD FEA Simulation Two way FSI internal Combustion engine Fluent Ansys Star-ccm Openfoam abaqus Nastran 2
Motor and Vehicle Thermal Design and cooling performance Coupled CFD FEA Simulation

Fluid Structure Interaction for Thermal Analysis

Fluid Structure Interaction (FSI) calculations allow the mutual interaction between a flowing fluid and adjacent bodies to be calculated. This is necessary since all real structures are flexible, especially those that are large or subject to high fluid loads. The body forces generated by fluids flowing are highly sensitive to the shape and curvature of adjacent surfaces. 

By coupling a CFD solver and the FEA solver, the deformation of a body resulting from the fluid loads and the subsequent modification of the flow field due to the newly deformed geometry can be computed iteratively.

This technique allows aeroelastic instabilities such as flutter, to be detected and avoided early in the design cycle. Similarly, where structures are subjected to cyclic fatigue loading, such as rotor-stator interaction in compressor applications or vortex shedding around civil structures, these load effects can be accurately quantified to allow the fatigue life of the structure to be assessed.

Simulating the thermal performance of a product early in the design phase can save large amounts of time and money by getting the design of the early prototypes right from a thermal management standpoint, thus reducing the need for additional prototypes that might otherwise be required to diagnose and correct thermal issues. Simple computational fluid dynamics (CFD) software can be used to analyze thermal issues such as determining how heat is transferred through a fluid. But many problems are more complex, such as those that involve multiple mechanisms of heat transfer, where heat is transferred through both solids and structures

Cases in which the fluids and structures involved in heat flow are closely coupled, so that thermal deflection of the structures affects the fluid flow, are also challenging. Engineers often need to understand how heat is transferred by a number of different mechanisms through a complicated interconnected system in order to understand how their product or process will perform under a given set of conditions. This point is one of the applications of FSI simulation with Coupled CFD-FEA method.

As in isolated FEA and CFD one of the most profound benefits of FSI analysis is the ability to conduct comprehensive, multi-point optimisation of designs. This process allows us to optimise a design to a given set of performance parameters and can be used to tune frequencies, or maximise fatigue life or avoid harmful resonance.

Conjugate heat transfer (CHT)

Conjugate heat transfer corresponds with the combination of heat transfer in solids and heat transfer in fluids. In solids, conduction often dominates whereas in fluids, convection usually dominates. Efficiently combining heat transfer in fluids and solids is the key to designing effective coolers, heaters, or heat exchangers. 

Optimizing heat transfer between fluids and solids is critical in many types of industrial equipment such as pre-heaters, engine blocks, cylinder heads, turbine blades, chemical reactors and reformers. Conventional heat transfer analysis is often limited by dependence on wall correlations that are valid only for certain types of equipment and specific operating ranges; it does not provide the detailed understanding of local flow and heat transfer behavior required for designs to be truly optimized.

A typical CHT simulation might involve three domains: a single-phase combusting air-fuel mixture outside a pipe, the pipe wall and multiphase flow of a liquid inside the pipe wall.

CHT can model conduction through the wall. If the pipe is translucent, radiative heat transfer can also be modeled simultaneously among the three domains. If the pipe material is permeable, the diffusion of a contaminant or chemical could also be modeled.

Conditioning (HVAC) system

Regulations and customer demands put pressure on rail designers to deliver passenger coaches with comfortable climates. CHT is used to model the boundary of the fluid interior to the exterior wall of the vehicle, and to predict surface temperatures of walls that may be touched by passengers, as well as channels that exchange heat with the inside of the car. The ability to accurately predict HVAC system performance with simulation enables our engineers to get the design right the first time, making it possible to reduce the amount and cost of wind tunnel testing.

One-Way FSI: Coupling CFD and FEA 

Solving thermal problems with CHT limits the engineer to the physical models that are contained within the CFD solver. More complex problems, such as those involving complex multimaterial structures or more accurate heat transfer coefficient (HTC) boundary conditions, can be solved by linking the CFD solver to a structural solver. Transferring solid temperature fields from CFD CHT simulations to a structural thermal system make it possible to use advantage of FSI simulation. The temperatures or HTCs calculated by CFD, and also the surface loads if desired, calculated by the CFD solver are transferred to the structural finite element analysis (FEA) code  and FEA code calculates the heat transfer and thermal fields in the structure as well as thermal–mechanical stresses. A characteristic of a one-way fluid structure interaction (FSI) solution is that the stresses and deformations calculated in the structural solver are not passed back to CFD to update the mesh and recalculate the flow.

Enteknograte’s engineers also used the shape optimization methods to optimize heat transfer based on problem conditions. Also, we use Simulia FE-SAFE, Ansys nCode DesignLife and FEMFAT for fatigue analysis to calculate different type of fatigue safety factors based on the results of thermo-machnical simulations. The new design delivers the long life and high quality that the Enteknograte’s customers have come to expect.

Two-Way FSI: Two-way coupled CFD and structural (FEA)–Thermal simulation

Applications such as leakage paths and thin film flows where thermal-stress induced structural deformation affects fluid flow present an even more difficult simulation challenge. These applications can be simulated with two-way coupled CFD and structural thermal simulation. With this approach, the fluid flow solution is applied to the structure and the deformation of the structure is in turn applied to the fluid flow at each time step of the simulation. Two-way CFD and structural thermal simulation made it possible to set up a transient simulation that simultaneously solves the heat transfer coefficients (HTC) and near wall temperatures in the fluid

Failure to properly manage thermal performance can lead to inefficient energy use, uncomfortable or even unsafe temperatures, suboptimal performance and lower than expected product life. Engineering simulation is essential to diagnosing and evaluating solutions for thermal problems early in the design process when they can be corrected at the least possible cost and time. Enteknograte’s engineering team cane accurately predict thermal performance across a wide range of operating conditions with  deep knowledge in FEA and CFD and coupling them, enable us the capabilities required to address the most difficult thermal design challenges:

  • Thermal shock resistance for brittle materials immersed in a fluid. 
  •  Cracking mechanism in materials subject to high temperature gradients
  •  Furnace or burner failures 
  • Radiators and heat exchanger flow balance
  • Cross flow heat exchanger liquid gas
  • Pins and turbolators pressure drop and trade-offs
  • Kilns transient analysis
  • Thermal shocks on Solar panels
  • Cooling jackets, cooling holes position and dimensions
  • Automotive exhaust, turbogas exhaust
  • Defrosting ducts for automotive and home appliances
  • Lamps, automotive headlights

Conduction Heat Transfer 

Diffusion of heat due to temperature gradients. A measure of the amount of conduction for a given gradient is the heat conductivity.

Convection Heat Transfer 

When heat is carried away by moving fluid. The flow can either be caused by external influences, forced convection; or by buoyancy forces, natural convection. Convective heat transfer is tightly coupled to the fluid flow solution.

Phase Change in Fluid-Thermal Simulations

Some types of thermal simulation involve a change in state of materials. Examples include freezing of water on a cold windshield, de-fogging of interior volumes, and condensation and boiling that may occur where a fluid meets a structural boundary.

Radiation Heat Transfer 

Transfer of energy by electromagnetic waves between surfaces with different temperatures, separated by a medium that is at least partially transparent to the (infrared) radiation. Radiation is especially important at high temperatures, e.g. during combustion processes, but can also have a measurable effect at room temperatures.

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
Electromotor and Electric Vehicle Thermal Design: Cooling Performace Analysis with Coupled CFD & FEA

CFD Simulation of Heat Exchangers: Optimize Thermal performance

Heat exchanger analysis involves a combination of heat transfer in fluids and solids. The fluid carries energy over large distances, while the solids separate the fluids so that they can exchange energy without mixing. Heat exchangers are involved in a variety of application areas, such as water treatment, resource refinery, nuclear power, food and beverage production, refrigeration, and more.

Enteknograte’s Engineering team use CFD and FEA tools incuidng FSI effect in one-way and tow-way for simulation based design and optimization of heat exchangers including forced convection or phase change within these devices. Heat exchanger types:

Concentric tube heat exchangers
Double pipe heat exchangers
Shell-and-tube heat exchangers
Compact heat exchangers
Finned-pipe heat exchangers

Thermal Management in Buildings: CFD Based Simulation and Design

Thermal management is vital to the design of buildings, as building designers need to consider heat and moisture variations in building components. We use the Heat Transfer to analyze thermal management in wooden frames, window frames, porous building materials, and other building components. Enteknograte’s engineering team analyze water condensation and evaporation on building surfaces, heat and moisture storage, latent heat effects, as well as diffusion and convective transport of moisture and eddy-based turbulent mixing for heat and moisture transport in air with using advanced CFD and FEA tools such as Siemens Star-ccm+, Ansys Fluent, Abaqus and Nastran.

Electronic Cooling

In the design phase of electronic devices, components such as electronic chips, or power systems, the CFD and FEA based heat transfer softwares used to analyze cooling capacity and Simulate conduction and convection in these applications to ensure optimal performance and operation. Enteknograte’s engineering team also model the cooling of heat pipe designs for use in microelectronics or computers. While analyzing electronic cooling, an efficient and accurate simulation is important to avoid malfunction and suboptimal designs.

Electromagnetic Heating

Our enginneers use coupled CFD and FEA (based on problem conditions) to model electromagnetic heating at different electromagnetic regimes using an electromagnetics and heat transfer coupling including the effects of Joule heating, inductive heating, and microwave heating effects.


Thermal Stress

A good thermal design is the key to optimizing the effect of thermal expansion, either by minimizing or maximizing the effect depending on the case. This phenomenon can be accounted for and studied using the multiphysics coupling method for heat transfer. Thermal expansion is very common and can lead to very high levels of thermal stress. Thermal stress can be positive, such as for shrink fit and bimetallic temperature sensor applications, but it can also be negative. For example, it can negatively affect buildings, thus causing a need for expansion joints, as well as devices subject to high temperature ranges and cyclic thermal loads.

With uisng advanced thermal analysis technology such as CHT, One way FSI and Two FSI with coupling FEA and CFD software, Enteknograte’s engineering team can predict thermal stress in the structure and use the results for redesign and optimization. This process allows our engineers to optimise a design to a given set of performance parameters and can be used to balance thermal loads, temperature distributions and heat transfer rates to given design targets.


Passenger Thermal Comfort 

Our engineers use CFD tools in co-simulation with 1D system modeling softwares for develop and test control strategies, and study the impact of the system on overall vehicle thermal management, analyze thermal interactions between air conditioning loops or heat pump systems, the cooling system, additional heaters, and the cabin or vehicle interior, and control the cabin cool down or heating processes.

Enteknograte’s engineering team with deep knowledge in CFD and FEA and uses advanced softwares such as Siemens Star-ccm+, Ansys Fluent, Abaqus and Matlab Simulink to check the impact of exterior conditions and technological choices on the air temperature and humidity within the cabin, and assess human thermal comfort sensation and study and optimize the design of air conditioning and heat pump systems to ascertain that the system provides optimal passenger comfort

Motor and vehicle Thermal Design cooling performance CFD FEA Simulation Two way FSI internal Combustion engine
Motor and Vehicle Thermal Design and cooling performance: Coupled CFD FEA Simulation
CFD and FEA consultant at Enteknograte

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Where the Simulation Gets Real

Abaqus, Ansys Fluent, Star-ccm+, Ls-dyna, Matlab, fortran , C++, Python
CFD and FEA consultant at Enteknograte

FEA and CFD Based Simulation

Turbine Nozzle Stress and Temperature distribution Fatigue Coupled CFD FEA CHT Ansys Fluent Abaqus Nastran Openfoam Siemens Star-ccm
Turbine Nozzle Stress and Temperature Distribution
CFD Heat Thermal simulation: OpenFoam, Code-Aster, Salome Meca, Abaqus, Ansys Fluent, Star-ccm+, Ls-dyna, Matlab
CFD FEA abaqus ansys fluent OPENFOAM CODE-ASTER star ccm siemens heeds autodyn ls-dyna finite element

Considering complexity and needs to have new procedure and constitutive equation, we must try to develop new FEA and CFD based software to overcome engineering challenges.

FEA and CFD based Programming needs experience and deep knowledge in both Solid or fluid mechanics and programming language such as Matlab, Fortran, C++ and Python.

Enteknograte’s engineering team use advanced methodology and procedure in programming and correct constitutive equation in solid, fluid and multiphysics environment based on our clients needs.

We use subroutine’s with programming languages such as Fortan, C and Python in CFD and FEA sofware such as Abaqus, Ansys, Fluent and Star-ccm+ to add new capability and Constitutive equation.

Enteknograte use Mathematical Methods and Models for Engineering Simulation. We, focuses on numerical modelling and algorithms development for the solution of challenging problems in several engineering sectors specialized in the development of software for the numerical discretization of partial differential equations, linear algebra, optimization, data analysis, High Performance Computing for several engineering applications.

Together, we enable customers to reduce R&D costs and bring products to market faster, with confidence.

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We use advanced virtual engineering tools, supported by a team of technical experts, to global partners in different industries.

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Real world Simulation: Combination of experience and advanced analysis tools

Calling upon our wide base of in-house capabilities covering strategic and technical consulting, engineering, manufacturing ( Casting, Forming  and Welding) and analytical software development – we offer each of our clients the individual level of support they are looking for, providing transparency, time savings and cost efficiencies.
Enteknograte engineers participate in method development, advanced simulation work, software training and support. Over experiences in engineering consulting and design development, enables Enteknograte’s engineering team to display strong/enormous client focus and engineering experience. The Enteknograte team supports engineering communities to leverage CFD-FEA simulation softwares and methodologies. It leads to the creation of tailored solutions, aligned with the overall product development process of Enteknograte clients.

CAE Simulation: CFD, FEA, System Modeling, 1D-3D coupling

Integrated expertise covering every Equipment component analysis. From concept through to manufacture and product launch, and for new designs or Equipment modifications, we provide engineering simulation expertise across projects of all sizes. Simulation has become a key enabling factor in the development of highly competitive and advanced Equipment systems. CAE methods play a vital role in defining new Equipment concepts.

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Metal Forming Simulation
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Casting Simulation
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Acoustics & Vibration
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Aerodynamic Simulation
Ansys Fluent, Siemens Star-ccm+ Numeca fine , Avl Fire, Matlab
Combustion Simulation
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MultiPhase Flow Simulation
Fatigue Simulation Abaqus Ansys FE-Safe NCode Design Life FEA Finite Element Enteknograte
Creep & Fatigue
Multibody dynamics MBD Abaqus, Ansys Fluent, Star-ccm+, Ls-dyna, Matlab, fortran , C++, Python
Multi-Body Dynamics (MBD)
composite impact simulation , Comsol Abaqus, Ansys, Fluent, Siemens Star-ccm+, Aerospace and defenceMatlab, Fortran, Python CFD FEA
Composite Design
welding FEA Simulation Simufact Welding ESI Sysweld Abaqus Ansys Enteknograte
Welding Simulation
Optimization of Wind Turbine Composite Fracture Mechanic Damage Design Abaqus Ansys Finite Element CFD Enteknograte
Multi-Objective Optimization
CFD and FEA based Fortran, C++, Matlab and Python Programming
Advanced Fortran, C++, Matlab & Python Programming