{"content":[{"text":"Even modern and innovative electric drones suffer from a short flight time, limited to around 20- \n 30 minutes depending on flight conditions. A quadcopter flight time can vary significantly \n between the forward flight and hover modes [3]. Only very few conventional electric multicopter \n drones in the high-end class can reach flight times close to 1 hour. The application of Computer- \n Aided Engineering (CAE) techniques and Computational Fluid Dynamics (CFD) in particular \n can help to improve the efficiency of drones and extend their flight time and range.","bbox":{"left":0.117647,"top":0.091422,"width":0.7624119999999999,"height":0.11693099999999998}},{"text":"Cadence CFD software features a wide range of tools allowing efficient simulation and \n optimization of multirotor drones. The fully integrated multidisciplinary environment OMNISTM \n paves the way for faster and more accurate quadcopter simulations by employing techniques \n such as the combination of structured and unstructured meshes within the same solver and high- \n fidelity unsteady simulations using the Nonlinear Harmonic Method (NLH). Cadence’s NLH \n module has proven to be a cost-effective solution for unsteady simulation being up to two orders \n of magnitude faster compared to a conventional unsteady simulation. A case study presented in \n this article demonstrates the application of these techniques to a simulation and optimization of \n an industrial drone.","bbox":{"left":0.117647,"top":0.224301,"width":0.757868,"height":0.177007}},{"text":"Case Study: Quadcopter Drone Meshing and Simulation","bbox":{"left":0.117647,"top":0.427295,"width":0.695643,"height":0.022598000000000007}},{"text":"The present case study is devoted to demonstrating the possibility of an efficient computational \n aerodynamic simulation and optimization of drone performance by means of the Cadence CAE \n software suite with OMNISTM at its core. The hover mode that represents the minimum flight \n time case is considered.","bbox":{"left":0.117647,"top":0.46665,"width":0.7477019999999999,"height":0.07692999999999994}},{"text":"Geometry","bbox":{"left":0.117647,"top":0.569436,"width":0.093284,"height":0.018365999999999993}},{"text":"The studied geometry corresponds to the most widely used rotorcraft drone configuration. The \n drone manufacturers for the private consumer sector (amateur video shooting, racing drones, \n drones for kids, etc) predominantly rely on such a drone configuration. The quadcopter geometry \n was described in the paper [4] and was kindly provided by its authors. The CAD model was \n generated by Miguel Monasor Pascual, Mechanical and Aerospace Engineer. Compared to the \n provided geometry, a new propeller geometry was generated and is retained for the study.","bbox":{"left":0.117647,"top":0.603847,"width":0.7615689999999999,"height":0.11700599999999994}}],"images_bbox":[],"images_bbox_not_text_overlap":[]}