SIMCENTER FLOEFD

The benefits of this are that there is no translation or definitions of regions within a cad model. Any cad design changes are instantly reflected in the cfd analysis. Synchronisation of cad and cfd becomes a non-issue.

Floefd meshing technology is automatic and can handle dirty geometry quickly and efficiently. We use a fully cartesian grid methodology with octree refinement so small features are captured with adequate resolution. Automatic refinement and un refinement ensure that all intricacies of the flow are captured sufficiently whilst still giving an acceptable solve time. The benefits of this technology are that there is no manual meshing time or cfd meshing expertise required. Even a novice user can generate accurate, mesh-independent results on the first run.

Simcenter floefd uses a modified k-epsilon 2 equation model for solving turbulence. We have 1 turbulence model which has been benchmarked and validated across the full range of reynolds numbers. Floefd allows for a proprietary turbulence model which solves laminar, transitional and turbulent flow with a single solver. The benefits of this are that we do not need to choose the turbulence model or know anything about the expected flow regime to get a correct answer. Another pitfall is removed from the process. This results in shortened setup times and minimal requirement for specialist turbulence knowledge.

Due to the parametric nature of modern cad software, a single assembly can be used to drive many different configurations with differing parts or constraints. Simcenter floefd can leverage this parametric configuration capability and tag a cfd project onto each configuration automatically. This means that a simcenter floefd project only needs to setup once and then simply cloned onto subsequent configurations. All setup information persists between projects. Batch running also allows for sequential solving of all configurations.

The Simcenter FLOEFD HVAC mod-ule provides additional capabilities for design engineers who conduct analysis in support of heating, air conditioning and ventilation (HVAC) applications, such as:

Comfort parameters:

To assess the thermal comfort of an occupant and the efficiency of the ventilation system, the following com-fort parameters are offered with the HVAC module:

• Predicted mean vote (PMV)
• Predicted percent dissatisfied (PPD
• Operative temperature (K)
• Draft temperature (K)
• Air diffusion performance index (ADPI)
• Local air quality index (LAQI) for fluids
• Contaminant removal effectiveness (CRE) for fluids
• Flow angle (X, Y and Z)

The Simcenter FLOEFD LED module provides an important set of analysis capabilities for lighting engineers and designers.

• Correct prediction of temperature and condensation/icing
• Condensation model capable of simulating film condensation, evapo-ration and icing/de-icing and a water absorption model that enables solids to absorb humidity and release it again in the right environmental conditions
• A combined thermal and photometric model for LEDs
• Calculate the light output (lumen) of the LEDs to see if these meet design goals for light output and uniformity

The Simcenter FLOEFD Advanced module provides additional capabilities for special analyses. It enables you to create more realistic simulations and obtain more accurate results, access more functionalities in the areas of combustion and hypersonic analysis and work on your preferred CAD platform.

The Simcenter FLOEFD Advanced module can be used to account for the thermal effects of combustion of gas-phase mixtures. The equilibrium approach is used for non-premixed combustion (combustion starts immediately and rapidly upon mixing). A limited combustion rate exists for premixed combustion that requires an igniter to start the combustion. There are 26 fuels and five predefined oxidizers.

The Simcenter FLOEFD Electronics Cooling module enables you to accu-rately predict thermal behavior of electronic devices with compact mod-els, validate electronics cooling system performance to achieve long product life, efficiently explore methods for cooling electronic devices and enable joule heating analysis in complex electronic assemblies.

The Simcenter FLOEFD Electronics Cooling module provides additional capabilities for the analysis of electronic devices. The physical capabilities in Simcenter FLOEFD Electronics Cooling include:

• The Joule heating effect is automatically calculated and included in heat transfer calculations
• Two-resistor compact model that is test-based on an approved Joint Electron Device Engineering Council (JEDEC) standard
• Accurately predict thermal behaviour of electronic devices with compact models
• Validate electronics cooling system performance to achieve long product life

Simcenter™ FLOEFD™ software, EDA Bridge module provides capabilities for detailed import of printed circuit boards (PCBs) into your mechanical computer-aided design (MCAD) tool of choice in preparation for thermal analysis. Historically, the best way to access PCB data was to use Intermediate Data Format (IDF) file pairs, which have signif-icant shortcomings, especially regarding the copper geometry in the PCB.

The Simcenter FLOEFD EDA Bridge enables detailed PCB import with material and integrated circuit (IC) thermal properties into Simcenter FLOEFD for thermal analysis either on its own, or as part of a larger system-level assembly.

Simcenter FLOEFD Power electrification module provides more accurate battery cell modeling. The battery compact model in the power electrification module calculates the heat dissipation rate based on the electrical or electrical-chemical characteristics of battery cells. The two new models are:

• The equivalent circuit model, which represents a cell as a second-order resistor-capacitor (2RC) equivalent circuit model. The model inputs are open circuit voltage (OCV), resistance and capacitance values as functions of state of charge and temperature
• The electrochemical-thermal coupled model simulates the battery cell’s thermal and electrochemical behaviours and requires the electrolyte’s chemical properties

In both models, the obtained heat dissipation rate is applied to the battery cell. The state of charge, voltage, cur-rent and temperature distribution in the battery cell is then predicted. Liquid cooling electrical battery of 40 cells