Taxi Drone, Ansys Fluent Simulation

$100.00 Student Discount

  • Taxi Drone Ansys Fluent Simulation involves using advanced CFD software to analyze the aerodynamic performance of urban air mobility vehicles
  • The geometry of the taxi drone was designed using ANSYS SpaceClaim , The mesh was generated using ANSYS Meshing, resulting in a total of 2,829,977 elements
  • The velocity inlet was set to 30 m/s with an angle of attack of 5 degrees. The rotational speed of the blades was configured with MRF method at 5000 RPM, with the upper and lower blades rotating in opposite directions.
Click on Add To Cart and obtain the Geometry file, Mesh file, and a Comprehensive ANSYS Fluent Training Video.

To Order Your Project or benefit from a CFD consultation, contact our experts via email ([email protected]), online support tab, or WhatsApp at +44 7443 197273.

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If you want the training video in another language instead of English, ask it via [email protected] after you buy the product.

Special Offers For Single Product

If you need the Geometry designing and Mesh generation training video for one product, you can choose this option.
If you need expert consultation through the training video, this option gives you 1-hour technical support.
The journal file in ANSYS Fluent is used to record and automate simulations for repeatability and batch processing.
editable geometry and mesh allows users to create and modify geometry and mesh to define the computational domain for simulations.
The case and data files in ANSYS Fluent store the simulation setup and results, respectively, for analysis and post-processing.
Geometry, Mesh, and CFD Simulation methodologygy explanation, result analysis and conclusion
The MR CFD certification can be a valuable addition to a student resume, and passing the interactive test can demonstrate a strong understanding of CFD simulation principles and techniques related to this product.
Enhancing Your Project: Comprehensive Consultation and Optimization Services
Collaborative Development of a Conference Paper on Cutting-Edge Topics with MR CFD
Collaborative Publication Opportunity: Contribute to an ISI Article and Get Featured in Scopus and JCR-Indexed Journals
If you want training in any language other than English, we can provide you with a subtitled video in your language.

Description

description

Taxi Drone Ansys Fluent Simulation involves using advanced computational fluid dynamics (CFD) software to analyze the aerodynamic performance of urban air mobility vehicles. This simulation helps engineers design efficient and safe taxi drones by modeling airflow and turbulence around the vehicle’s structure. The process aids in improving flight stability, reducing drag, and enhancing overall performance, ultimately contributing to the development of reliable and energy-efficient aerial transportation solutions for future cities.

Geometry and Mesh

The geometry of the taxi drone was designed using ANSYS SpaceClaim as shown in Fig. 1. This geometry captures the essential features of the drone, which includes the upper and lower rotors. The mesh was generated using ANSYS Meshing, resulting in a total of 2,829,977 elements, as depicted in Fig. 2. The mesh is conformal, ensuring a high-quality discretization suitable for accurate simulation results.

Simulation Setup in ANSYS Fluent

The simulations were conducted in ANSYS Fluent, where the governing equations were solved under specified conditions. The velocity inlet was set to 30 m/s with an angle of attack of 5 degrees. The rotational speed of the blades was configured with MRF method at 5000 RPM, with the upper and lower blades rotating in opposite directions. This counter-rotation helps in balancing the aerodynamic forces and improving stability.

Numerical Methodology

The SIMPLE algorithm was employed for pressure-velocity coupling, which is effective in stabilizing the solution and ensuring convergence.

Results

Pressure Contour: The resulting pressure distribution around the drone is illustrated in Fig. 3. This gives insights into the aerodynamic forces experienced by the drone during flight.

Velocity Contour: The velocity field is depicted in Fig. 4, illustrating how the flow behaves around the drone at a distance of 1.2 meters from the middle. This visualization helps in understanding the effects of the blades’ rotation and the angle of attack on the surrounding airflow.

These results provide crucial information for assessing the aerodynamic performance and can be used for further optimization of the drone design.

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