Implementing Micropatterned Surface for Drag Reduction in UAV
A Vivek Anand1, B Nagaraj Goud2, J Sahana3, V Hariprasad4, K Arunkumar5
1A Vivek Anand*, Department of Aeronautical Engineering, MLR Institute of Technology, Hyderabad, India.
2B Nagaraj Goud, Department of Aeronautical Engineering, MLR Institute of Technology, Hyderabad, India.
3J Sahana, Department of Aeronautical Engineering, Bannari Amman Institute of Technology, Sathyamangalam, India.
4V Hariprasad, Department of Aeronautical Engineering, Bannari Amman Institute of Technology, Sathyamangalam, India.
5K Arunkumar, Department of Aeronautical Engineering, MLR Institute of Technology, Hyderabad, India.
Manuscript received on November 12, 2019. | Revised Manuscript received on November 25, 2019. | Manuscript published on 30 November, 2019. | PP: 4710-4714 | Volume-8 Issue-4, November 2019. | Retrieval Number: D8548118419/2019©BEIESP | DOI: 10.35940/ijrte.D8548.118419
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: The Aerodynamics of the Unmanned Aerial Vehicle plays a vital role in determining its performance. The reduction in drag helps the UAV to augment its flight time in terms of range as well as endurance. In our work an attempt was made to reduce the drag by means of changing its surface morphology in micro level without changing the entire shape and size of the UAV. The patterned surface morphology in the form of grooves and pillars were introduced on the surface of UAV. The wettability and aerodynamic parameters were quantitatively measured on the target micro patterned surface and the relation between them was explored in this work. The optimized size and shape of the micro patterns which supports to reduce drag in UAV was found experimentally in this work.
Keywords: Micro Patterned Surface, Hydrophobicity, Drag Reduction, Uav And Fluid Structure Interaction.
Scope of the Article: Frequency Selective Surface.