RQ-11 Raven Drone CFD Simulation, ANSYS Fluent

$100.00 Student Discount

  • The problem numerically simulates an RQ-11 Raven UAV using ANSYS Fluent software.
  • We design the 3-D model with the Design Modeler software.
  • We mesh the model with Fluent Meshing software. The element number equals 5,300,212 and their type is polyhedra.
  • Multiple Reference Frames (MRF) are used to model the rotational motion of propellers.
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RQ-11 Raven UAV Aerodynamic CFD Simulation, ANSYS Fluent Training


A lightweight unmanned aircraft system (UAS) with excellent mobility, the RQ-11 Raven, is designed for quick deployment.

The Raven is hand-launched into the air like a model airplane in mere minutes, and it lands itself by auto-piloting to a hovering position. It doesn’t need landing strips that have been adequately prepared. The Raven is best suited for forward-deployed units because it doesn’t require complex support facilities.

Thanks to its automated features and GPS technology, it is easy to use and doesn’t require any specialized knowledge or extensive flight training.

An RQ-11 Raven UAV is modeled in this simulation using ANSYS Fluent software. The device moves at a speed of 13.9  m/s while the propeller rotates at an angular velocity of 1200 rev/min.

The geometry of the present model is three-dimensional and has been designed using Design Modeler software. We do the meshing of the present model with Fluent Meshing software. The mesh type is Polyhedra, and the element number is 5,300,212.

Methodology: RQ-11 RavenUAV CFD Simulation

The Multiple Reference Frames (MRF) method is used to model the rotational motion of the propellers.


After the simulation process was finished, contours and vectors for parameters such as velocity, pressure and turbulent intensity were obtained. As shown in the velocity contours, the vortexes behind the propeller and the air movement around the UAV are visible.

The maximum amount for the turbulent intensity parameter is exactly behind the propeller due to its rotation.

In the static pressure parameter case, as it was predictable, the UAV’s front surfaces endure the highest pressure. The maximum static pressure is exerted on the nose of the UAV, the front surfaces of wings and propellers, which tells us about the necessity of the manufacturing focus on these components.


  1. Avatar Of Margie Dicki

    Margie Dicki

    The training was comprehensive and insightful. The details on how the RQ-11 Raven’s aerodynamics were simulated using the model’s flight parameters make me appreciate the complexities of UAS design and operation. Understanding the turbulence and pressure zones will undoubtedly help when considering UAV designs and the quality of the data here ensures a great learning experience.

    • Avatar Of Mr Cfd Support

      MR CFD Support

      Thank you for your positive feedback! We’re delighted to hear that our simulation training for the RQ-11 Raven drone has provided you with a comprehensive understanding of UAV aerodynamics. At MR CFD, we strive to deliver detailed and quality data to enrich our clients’ learning experiences. Your appreciation motivates us to continue providing top-notch training materials. If you have any further questions or need more assistance with drone aerodynamics or CFD, please feel free to reach out to us.

  2. Avatar Of Lawson Robel Iv

    Lawson Robel IV

    This course sounds excellent. The details of the aerodynamics of the Raven UAV are something I am particularly interested in!

    • Avatar Of Mr Cfd Support

      MR CFD Support

      Thank you for your kind words! We’re glad to hear you found the RQ-11 Raven Drone CFD Simulation insightful. Aerodynamics is indeed a key aspect when it comes to UAV design and operation, and we’re happy our course could provide the valuable information you were searching for. If you have any more questions or need further assistance with your aerodynamics studies, feel free to reach out!

  3. Avatar Of Orpha Predovic

    Orpha Predovic

    The simulation for RQ-11 Raven Drone’s aerodynamics looks in-depth. Great work on modeling the rotational motion of propellers. Were there any challenges in capturing the vortexes behind the propeller accurately?

    • Avatar Of Mr Cfd Support

      MR CFD Support

      We appreciate your positive feedback on our RQ-11 Raven Drone CFD simulation. In simulations like these, accurately capturing the vortexes behind the propeller is challenging. We carefully set up our computational domain and mesh resolution, and employed advanced turbulence models available in ANSYS Fluent, to accurately predict complex flow phenomena such as vortex shedding. Our validation process, including a grid independence test and comparing against known benchmark cases, ensures that our results are reliable and physically accurate.

  4. Avatar Of Sylvia Ward

    Sylvia Ward

    Loved the content! The RQ-11 Raven UAV simulation felt so realistic. Particularly impressed with the detailed analysis on the pressure and turbulence. It encapsulated the complexities of real-world UAV operations superbly.

    • Avatar Of Mr Cfd Support

      MR CFD Support

      Thank you for your kind words! We are thrilled to hear that our simulation of the RQ-11 Raven UAV met your expectations and provided insightful analysis. Your feedback is greatly appreciated, and we look forward to continuing to deliver high-quality CFD simulations. If you have any more questions or need further clarification, feel free to reach out!

  5. Avatar Of Julian Olson Iv

    Julian Olson IV

    The way the MRF method is applied in simulating the propeller’s motion sounds intricate; could you expand on that concept?

    • Avatar Of Mr Cfd Support

      MR CFD Support

      Certainly! The Multiple Reference Frames (MRF) method allows us to simulate rolling movements by segregating physical sections within our computational area. For the propellers, we allocate a rotational reference frame separate from the static portions. This perforation captures the angular velocity and assures a harmonious link with the stationary domains, resulting in realistic fluid dynamics effects around the rotating propeller without necessitating the re-calculation of the mesh at each timestep.

  6. Avatar Of Glenda Cremin

    Glenda Cremin

    This CFD simulation study was incredibly detailed and informative. The utilization of the MRF method to model the rotating propellers and the capture of turbulent intensity around the UAV really illustrated the complexity of airflow patterns. Data points like the maximum pressure exerted on the UAV’s nose and wing fronts provide critical insights that can enhance design considerations for durability and efficiency. An excellent piece of work that helps bridge the gap between theory and practical application in aerodynamics.

    • Avatar Of Mr Cfd Support

      MR CFD Support

      Thank you for your positive feedback! We’re thrilled to hear that our simulation study of the RQ-11 Raven UAV was able to enrich your knowledge on the subject. Our goal is always to provide detailed and useful insights that can be applied practically. Your comment motivates us to continue delivering high-quality simulations and analyses. We appreciate your time in reviewing our product!

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