• Journal of the Korea Academia-Industrial cooperation Society
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• v.20 no.5
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• pp.627-635
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• 2019

A programmable drone is a drone developed not only to experience the basic principles of flight but also to control drones through Arduino-based programming. Due to the nature of the training drones, the main users are students who are inexperienced in controlling the drones, which often cause frequent collisions with external objects, resulting in high damage to the drones' frame. In this study, the structural stability of the drone was evaluated by means of a structural dynamics based collision simulation for educational drone frame. Collision simulations were performed on three cases according to the impact angle of $0^{\circ}$, $+15^{\circ}$ and $-15^{\circ}$, using an analytical model with approximately 240,000 tetrahedron elements. Using ANSYS LS-DYNA, which provides excellent functions for the simulation of the dynamic behavior of three-dimensional structures, the stress distribution and strain generated on the drone upper, the drone lower, and the ring assembly were analyzed when the drones collided against the wall at a rate of 4 m/s. Safety factors resulting from the equivalent stress and the yield strain were calculated in the range of 0.72 to 2.64 and 1.72 to 26.67, respectively. To ensure structural stability for areas where stress exceeds yield strain and ultimate strain according to material properties, the design reinforcement is presented.

• Journal of Aerospace System Engineering
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• v.17 no.4
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• pp.34-42
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• 2023

This study aims to analyze safety reports received through the recently added SMS safety self-report in the Air Force's "integrated air control management" system, identify hazards, present improvements by region (base), and lay the foundation for future data-based safety management. To identify risk factors, it was first classified by base based on data classified into 16 groups in the autonomous reporting system, and second classified in detail based on the type and description. Risk factors were analyzed for the most reported control cooperation (306) items, and improvements were derived by dividing risk factors into information sharing, regulations, procedures, education, training, and equipment items based on the analysis results. It was confirmed that risk factors and specific improvements vary by base (12), which is important data that can present statistical analysis and the direction of safety management in the flight control field by base (region). In addition, since there is no data-based risk factor analysis study for each specific base (region), it can be used in the future as basic research data for data-oriented safety management.