Vol. 30 (2020)
Artículos de investigación

Aerodynamic analysis of an unmanned aerial vehicle with infrared camera for monitoring oil leakage in pipeline networks

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  • Ernesto A. Elvira-Hernández ,
  • Francisco López-Huerta ,
  • Héctor Vázquez-Leal ,
  • Quetzalcoatl Hernández-Escobedo ,
  • Agustín Leobardo Herrera-May
Ernesto A. Elvira-Hernández
http://orcid.org/0000-0003-1407-3051 (unauthenticated) Universidad VeracruzanaMicro and Nanotechnology Research CenterCalzada Ruiz Cortines 455Col. Costa VerdeBoca del Río

Bio
Francisco López-Huerta
http://orcid.org/0000-0003-3332-846X (unauthenticated) Facultad de Ingeniería Eléctrica y Electrónica, Universidad Veracruzana, Calzada Ruiz Cortines 455, Boca del Río, Veracruz C.P. 94294, México.

Bio
Héctor Vázquez-Leal
http://orcid.org/0000-0002-7785-5272 (unauthenticated) Facultad de Instrumentación Electrónica, Universidad Veracruzana, Circuito Gonzalo Aguirre Beltrán S/N, Xalapa C.P. 91000, Veracruz, México

Bio
Quetzalcoatl Hernández-Escobedo
http://orcid.org/0000-0002-2981-7036 (unauthenticated) Facultad de Ingeniería Campus Coatzacoalcos, Universidad Veracruzana, Av. Universidad km 7.5 Santa Isabel, Coatzacoalcos C.P. 56535, Veracruz, México

Bio
Agustín Leobardo Herrera-May
http://orcid.org/0000-0002-7373-9258 (unauthenticated) Universidad VeracruzanaMicro and Nanotechnology Research CenterCalzada Ruiz Cortines 455Col. Costa VerdeBoca del Río

Bio

Published 2020-02-12

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How to Cite

Aerodynamic analysis of an unmanned aerial vehicle with infrared camera for monitoring oil leakage in pipeline networks. (2020). Acta Universitaria, 30, 1-15. https://doi.org/10.15174/au.2020.2534

Abstract

Oil pipeline networks require periodic inspection to detect damages that can generate oil leakage in natural and human environments. These damages can be caused by geological hazard and interference from third party. In order to detect these damages, low-cost techniques that consider both the oil pipeline networks and the environment are required. In this paper, the aerodynamic analysis of an unmanned aerial vehicle (UAV) with Eppler 748 sailplane airfoil (wingspan of 1.635 m) is presented. The UAV can include a small infrared camera for monitoring oil leakage of a pipeline network using the infrared radiation related to oil. A computational fluid dynamics (CFD) model of the UAV is developed to predict its lift and drag coefficients as a function of the Reynolds number and the angle of attack (AoA). The air velocity profile around UAV is estimated with the CFD simulations. In addition, a scale model (1:6.5) of the UAV is fabricated using a 3D printer, which is tested employing a subsonic wind tunnel. For the UAV with AoA of 0ï‚°, the drag and lift coefficients obtained with the CFD model have a similar behavior with respect to those measured through the subsonic wind tunnel. The designed UAV could be used for low-cost inspections of damages in oil pipeline networks in comparison with the use of helicopters or light aircraft.

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