Computational Fluid Dynamics
Computational Fluid Dynamics (CFD), is a simulation tool used for analyzing complex thermal and fluid phenomena. It is instrumental in maintaining the quality and safety of many products we use on a day to day basis, such as an automobile or even the house we live in. CFD software is indispensable for "Front-loading" product development to ensure the best product concepts are identified early in the design process. Design quality will be improved during the conceptual design phase by conducting basic studies of fluid and thermal phenomena that directly affect product performance.
Visualizing the complicated movements of a gas or liquid flow can be quite convoluted. By implementing simulation software, Cradle CFD, into the workflow, analyzing these movements is easier than ever. It enables the user to predict the performance of their products before physical testing. This results in a more optimized design early in the product development cycle. In some cases, simulation can even replace the need for physical testing, altogether. Utilizing Cradle CFD will provide engineers with the understanding of these type of movements and an easy to use tool that anyone could implement.
Cradle CFD strength lies in its coupling capacity with other simulations tools, such as mechanical and structural software. The reinforced co-simulation capability with MSC Software products, such as Marc, Nastran, Adams, and Actran, it is possible to represent more accurate, realistic phenomena in simulations, allowing users to take more pragmatic approach for assessing design performance and potential risks.
Cradle CFD Software offers many specialized functions:
- Aerospace: Aerodynamics, Subsonic Flow, Hypersonic Flow, Aero-elasticity, FSI
- Automotive: Aerodynamics, Engine Development, Intake and Exhaust Por, Powertrain Performance, Cabin Environment, HVAC Equipment
- Electronics: Electronic Device Design and Development, Thermal Dissipation, Cooling System
- Fan & Turbines: Propeller Fans, Blower, Cross-flow Fans, Precision Miniature Motors, Screws, Windmills
- Architecture & Civil Engineering: Air-conditioning Evaluation, Ventilation, Wind Environment, Heat Island Phenomena, Tsunami
- Machinery: Mixing, Production Facility, Quality Engineering, Operation Performance, Design Optimization
- Pump: Centrifugal Pumps, Piston, Diaphragm, Gear
- Ship building & Marine Engineering: Ship Development, Propeller, Cavitation, Vessel Design, Propulsion Efficiency
- Chemical & Life Sciences: Living Organism Movement, Thermoregulation, Human Comfort
- Multiphase: Free Surface, Percolation, Sloshing, Chip-standing Phenomenon, Combustion, Spray, Melting, Drying
- Co-Simulation: Fluid-Mechanical-Structural Coupling (Crosswind Impact on Vehicle Dynamics, Vehicle Driving through Water Puddle, Fuel Tank Sloshing, Buoyant Logs Floating under a Bridge
Import native data from major 3D CAD software as well as most generalized intermediate data formats (Parasolid XT, STEP, and others). Cradle CFD can import 10+ types of CAD native data and 15+ types of intermediate data formats.
From the CAD data to analysis mesh data, the required operations are grossly simplified. The conservation of assembly information and the settings of conditions on the parts bring the sense of continuity from the CAD operations and reduce the operational burden of the users.
Structured and Unstructured mesh
Cradle CFD generates analysis models in two ways; scSTREAM uses structured mesh, and scFLOW generates unstructured mesh, and each has its own benefits. Structured mesh is easy to construct, characterized by high speed processing capability, and best suited to evaluate phenomena where detailed geometry representation is not required, such as thermal dissipation design of electronic devices, wind flow evaluation around buildings, and air-conditioning performance. Unstructured mesh enables highly accurate geometry representation, and excels in phenomena where precise geometry generation is crucial, such as evaluation of vehicle aerodynamic performance and assessment of fan blade geometry.
Parallel computing makes possible solving existing models faster, conducting more analyses, and/or solving more detailed models with a greater number of mesh elements.
Multiphysics co-simulation and chained simulation capability to achieve couplings with Structural, Acoustic, Mechanical and more.
Award-winning postprocessing feature to generate visually powerful simulation graphics.
Multiphase analysis allows for simulation using free surface, particle tracking, and volume of fluid. Application using multiphase include particle deposition, effect of waves on ships, effect of gasoline tank shaking.
Discontinuous and overset mesh allow for various methods to simulate moving objects. Discontinuous mesh makes it possible to analyze a combination of rotation and translation such as a piston pump, or shear forces during application of a disk brake. Overset mesh incorporates a stationary and moving mesh. Applications with deformation, rotation, or multiple moving regions can be simulated using this approach. Examples using overset mesh include, a gear pump or opening and closing of an engine port valve.
Supersonic flow and expansions/ contraction of volume simulation are possible using either a pressure based or density based solver. A density-based solver keeps the calculation stable during high Mach number simulations. Depending on the objective, either solver can be specified for the analysis.
Conjugate Heat Transfer
CFD is capable of considering all three modes of heat transfer. In addition to natural and forced convection, radiation can be solved using either the flux or view factor method. With view factor reflection, transmission, and refraction can be considered. In boiling can be predicted for a fluid by considering the nucleate boiling coefficient.
Aerodynamic Noise Analysis
Sound caused by pressure oscillation of fluid, such as wind noise, and sound caused by resonance can be predicted using Large Eddy Simulation (LES) and a weak compressible flow model. A Fast Fourier Transform calculation can be used within the software to predict the frequency of noise.
Using previous simulation results, Optimus for Cradle can be used to search for an optimal design. Multiple design variables and multiple design objectives can be considered using a genetic algorithm.