Aerodynamics studies can cover the full speed range of low speed, transonic, supersonic and hypersonic flows as well as turbulence and flow control. System properties such as mass flow rates and pressure drops and fluid dynamic forces such as lift, drag and pitching moment can be readily calculated in addition to the wake effects. The results of CFD simulation in MSC Cradle, Ansys Fluent and Siemens Star-ccm+ can be used directly for design purposes or as in input to a detailed stress analysis.
Aerodynamics is a branch of fluid dynamics that deals with the study of air and other gases in motion, particularly in relation to objects such as aircraft, cars, and buildings. It encompasses a wide range of speeds, from low speed flows (such as those experienced by cars and buildings) to supersonic and hypersonic flows (such as those experienced by rockets and spacecraft).
One of the key goals of aerodynamics is to understand the forces and pressures acting on an object in a fluid flow, such as lift, drag, and pitching moment. These forces are important for designing efficient and safe vehicles and structures, and can be calculated using both experimental methods and computational fluid dynamics (CFD) simulations using software tools such as Ansys Fluent, and Siemens Star-ccm+.
Aerodynamic noise is a type of noise that is generated by the motion of fluids, around objects. Examples of aerodynamic noise include wind noise around buildings or vehicles, and noise generated by aircraft engines.
To predict aerodynamic noise, simulations can be performed using computational fluid dynamics (CFD) software. Specifically, Large Eddy Simulation (LES) can be used to model turbulent flows, which are a common source of aerodynamic noise. LES is a method that uses numerical algorithms to simulate the largest turbulent eddies in the flow, while modeling the smaller eddies using subgrid-scale models.
Additionally, a weak compressible flow model can be used to account for the effect of pressure oscillations on the generation of noise. This is important because pressure fluctuations in the fluid can cause sound waves to be generated, leading to noise.
To calculate the frequency of the noise, a Fast Fourier Transform (FFT) can be performed on the CFD simulation results. This allows the noise frequency spectrum to be obtained, which can provide insights into the dominant sources of noise and their frequencies.
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Aerodynamic simulation is a crucial tool in the design and optimization of drones. By simulating the flow around the drone and analyzing the resulting forces and coefficients, designers can gain insights into how to improve the aerodynamic performance of the drone and reduce drag.
Some of the key objectives of drone aerodynamic simulation include accurately predicting aerodynamic forces, such as lift and drag coefficients, as well as identifying areas of high drag or turbulence that can be improved through design changes. In addition, the results of aerodynamic simulation can also be used to inform noise and acoustic design and optimization, which is important for drones that need to operate in populated areas.
Aerodynamic noise is generated by the interaction between the drone and the air around it, and can be caused by a variety of factors, such as air turbulence, propeller noise, and structural vibrations. By simulating the flow around the drone using computational fluid dynamics (CFD) software, our designers can identify areas of high noise and develop strategies to reduce it. Design changes, such as modifying the shape of the drone or the position of the propellers, can then be tested using CFD simulations to evaluate their impact on noise levels.
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We provide Engineering Analysis of fluid flow over a body, wing or component with Star-ccm+ and Ansys Fluent. We can work from a drawing, CAD file or can scan the geometry of your car or component. A standard analysis includes a report including the following information: Drag Force, Down Force, Drag Coefficient, Pressure Coefficient, Pressure Contour Plot, Velocity Contour and Velocity Streamlines.
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the aerodynamics of helicopter rotors can be quite complex and challenging to simulate accurately. Blade vortex interactions, in particular, can cause significant fluctuations in the lift and drag forces on the rotor blades, which can lead to vibration and noise.
To simulate the aerodynamics of helicopter rotors, we typically use computational fluid dynamics (CFD) software such as Star-CCM+ or ANSYS Fluent. These software packages allow us to create a digital model of the rotor and the surrounding air, and simulate the fluid flow over the rotor blades as they rotate.
To model the blade vortex interactions, we use a technique called unsteady simulation, which takes into account the time-varying flow around the blades as they rotate. We also incorporate the effects of turbulence in the air, which can have a significant impact on the accuracy of the simulation.
The output of the simulation includes data on the lift and drag forces acting on the rotor blades, as well as the flow velocity and pressure distributions around the blades. This information can be used to optimize the design of the rotor blades for better performance and reduced noise. It can also be used to investigate the effects of different flight conditions, such as the interaction between the main and tail rotors or the tail shake phenomenon, and to develop strategies for mitigating these effects.
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With deep Knowledge in FEA and CFD and combining or coupling different CAE tools for real world simulation such as Ansys Fluent, Siemens Star-ccm+, Abaqus and Nastran, Simulation Dynamics engineering team can handle any aerodynamic problem include wind turbine, Wind Farm design and wind effect.
In addition to aerodynamic simulation, it is also important to consider the acoustic noise generated by wind turbines and wind farms. The noise can be a significant concern for nearby residents and wildlife, and it can also impact the performance and efficiency of the turbines themselves.
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