The current work aims to increase the NACA 1410 airfoil's aerodynamic efficiency by altering its surface qualities for various angles of attack. The NACA 1410 airfoil's lower surface has semicircular outward and inward protrusions for a more advantageous profile. The lift and drag coefficients were calculated using CFD, at various attack angles, from -2º to 18º. An ANSYS Fluent Workbench model of the NACA 1410 airfoil was used to investigate flow characteristics at 3 x 105 Reynolds numbers. The semicircular protrusions caused turbulence, reducing pressure drag and increasing lift, delaying flow separation. The NACA1410 profile has protrusions facing outward, increasing the pitch moment coefficient. The inward protrusion was found to be more advantageous in the study of the effects of surface alterations on airfoils at various angles of attack.
In the past, traveling by plane was a luxury, today it is one of the most desired transport options in the world, being at the same time accessible and safe. In the contemporary aviation industry, for an airline to remain competitive, means to carry out as many aeronautical activities as possible without any incidents. Technical problems play a significant role in establishing the root causes underlying the efficiency of an aircraft. Considering the systems complexity involved, maintenance can be difficult without an aircraft health monitoring system over time. This study aims to provide a methodology for early identification of an aircraft failures, in order to provide specific predictive maintenance. Over the 12 months, two critical systems belonging to a transport aircraft were monitored and with the help of the Markov chains model, the probability of those systems to fail in the foreseeable future was calculated.
In the last years, technology experienced an exponentially increase, but no matter how much the aviation manufacturers tried to automate the flight activity, events with major implication for flight safety continue to appear. In over 80% of the aviation accidents, the limited performance of the pilots, technicians and air traffic controllers played a major role. The purpose of this study was to analyse the factors which influence the human performance in all stages of flight, taking into consideration 4962 aviation events from 2000 to 2020, downloaded from Aviation Safety Reporting System (ASRS). Nowadays, the perspective of the 4th industrial revolution constrains us to insist on using big data for much more complex analyses and much more accurate results.
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