The advancement of sensor, actuator, and flight control technologies has increasingly expanded the possibilities for drone utilization. Among the technologies related to drone applications, the vibration isolator technology for payload has a significant impact on the precision of optical equipment in missions such as detection, reconnaissance, and tracking. However, despite ongoing efforts to develop vibration isolators to mitigate the impact of vibrations transmitted to optical equipment, research on drone-specific natural frequencies and payloads has been lacking. Consequently, there is a need for research on vibration isolators tailored to specific drone types and optical equipment payloads. This study focuses on exploring the correlation between the natural frequencies of drones and the weight of the payload, and proposes methods for developing and testing vibration isolators that consider both factors. To achieve this, the study measured the stiffness of vibration isolator rubbers and conducted cross-validation between random vibration tests and finite element method (FEM) analyses to verify the vibration reduction effects resulting from changes in the dynamic characteristics of vibration isolator rubbers. The rubber with a shore hardness of 70 exhibited relatively high damping and damping performance during random vibration tests. Additionally, it showed relatively high stability with only one resonance point measured within the operational frequency band. Through the findings of this study, a methodology for selecting vibration isolators for drones is proposed, aiming to enhance the stability of optical equipment.

Objectives: Survey of aerospace-related major students was conducted to evaluate their satisfaction levels (or importance levels) for the various curriculum and support systems of convergence-oriented talent development. Methods/Statistical Analysis: Statistical forecast analysis software IBM SPSS (Statistical Package for the Social Sciences) was utilized for the research data of the aerospace major students' understanding of their curriculum. This data can be used as base data for future curriculum settings. Findings: The difference between this study and prior research on convergence curriculum is as follows. First, whereas the subject of previous research was convergence education based on the convergence of disparate fields of study, this research dealt specifically with the aerospace field where cutting-edge technologies converge. Second, while previous studies focused on the general direction of convergence education and its teachers, this research proposed a direction for convergence education from the learners' point of view. Application/Improvements: The research analyzed which factors affected the development of convergence-oriented talent development. The results may be used for the future planning and establishment of education programs to facilitate convergence-oriented talent development.

The urban air mobility (UAM) market continues to grow as the importance of structural health monitoring (SHM) technology is increasingly emphasized for safe operation. This study proposes a Euclidean distance vector-based vibration analysis method for the early detection of abnormal vibrations and for performing safety diagnostics in the rotor-arm system of a multicopter-type UAM. Vibration experiments were conducted by simulating abnormal conditions such as mass imbalance, bolt loosening, and propeller damage in stages to verify this approach, thereby reflecting actual operating environments. The frequency response and vibration characteristics were analyzed in comparison to normal conditions. The analysis showed that even minor mass imbalances and bolt loosening caused a significant increase in vibration within specific frequency bands. Certain frequency bands exhibited pronounced damping effects as damage worsened, revealing complex dynamic behavior. These results confirm shifts in resonance frequency and dispersion of vibration energy due to structural dynamic changes, thereby demonstrating the effectiveness of the Euclidean distance vector-based analysis method in detecting such anomalies. In conclusion, the proposed method enables the early detection of anomalies in multicopter-type UAM rotor arms, providing a basis for safety diagnostics and potentially enhancing reliability through expansion into fault detection systems.

Study on the Dynamic Stability of the Excavator Working Device