최근 도심항공모빌리티(UAM) 상용화에 앞서 도심 내 항공 교통수단 관련 산업에 대한 연구개발 중요성이 급격히 증가하고 있다. 도심항공모빌리티(UAM) 환경을 조성하기 위해서 핵심 항공 이동 수단 비행체인 개인용 항공기 (PAV) 기체에 관한 연구가 수행되고 있으나, 탑승자 관점의 연구가 상대적으로 부족한 상황이다. 특히 PAV는 탑승 자의 새로운 생활공간으로 활용될 것으로 예상되기 때문에 탑승자의 실내행위를 지원하는 실내공간 설계를 위해서 는 PAV 기체에서 발생하는 물리적 요소가 인체에 미치는 영향에 관한 연구가 필수적으로 이루어져야 한다. 이에 본 연구의 목적은 PAV의 공중 운항 특성으로 인해 인체에 영향을 주는 제약 요소를 도출하고, 이러한 제약 요소가 실내행위를 수행하는 탑승자 인체에 미치는 영향을 파악하는 것이다. 본 연구 결과, 항공 이동 수단 비행 기체 PAV 는 4,000ft 이하에서 운항해야 하는 기준에 따라, 운항고도에 따른 제약 요소는 소음, 진동, 저주파 운동에 의한 멀미 로 나타났다. 이러한 제약 요소가 실내행위에 영향을 미친다는 관점에서 PAV에서 행할 수 있는 실내행위를 자율주 행 자동차, 비행기, PAV 컨셉 사례를 활용하여 도출하고 인체에 미치는 영향과 수준을 고려하여 실내행위 지원을 위한 제약 요소 권장기준을 설정하였다. 또한 실내행위 지원을 위한 제약 요소의 인체 영향 수준을 감소시키기 위해 서는 시트의 형태 및 내장기능(진동 저감 기능, 온도조절, LED조명 등), 개인 좌석별 지향성 스피커를 활용한 외부소 음 감소, 소음과 진동 감소를 위한 내장재 등을 실내공간 설계에 반영해야 함을 제시하였다. 본 연구는 PAV 실내행 위에 영향을 주는 제약 요소를 도출하였고, 인체에 미치는 영향 수준을 확인하였으며, 추후 PAV 실내 설계 시 기초 자료로써 활용할 수 있다는 점에서 의미가 있다.

The objective of this numerical study is to investigate the effect of aluminium material on the weight reduction in tubular shaft yoke and solid shaft yoke. The tubular shaft and the solid shaft were designed by 6 stage processes and the results were analyzed by using a finite element analysis method. The coefficient of friction was set to Oil_cold as referred to the analysis library. It was found that the weight was reduced as 65% with applying the aluminium alloy due to lower density than carbon steel. Von-mises stress values of applying aluminium alloy to the tubular shaft yoke and solid shaft yoke were lower than those of carbon steel because of the low yield stress of aluminium alloy. The folding and underfill phenomenon were not observed on the aluminium alloy in tubular shaft yoke and solid shaft yoke. From these results, the weight reduction of products and the extend life of dies can be expected when aluminium alloy is applied.

This study was performed for the optimizations of A-IMS assembly by analyzing the stress distributions under the different torque conditions. In order to achieve this, the numerical simulation was performed by SOLIDWORKS commercial code and the torque range that applied on the A-IMS assembly was increased from 10 N·m to 40 N·m. The simulation results were analyzed and compared in terms of Von-mises stress, principal stress, and displacement characteristics. The maximum stress distributions was observed on the contact surface of needle bearing which is located between tubular and solid shaft. It was found that the fracture of A-IMS assembly won’t occur until 30 N·m of torque. Therefore, it was concluded that there is no problem for the manufacturing of A-IMS assembly.

The objective of this work is to investigate the A-IMS structural defects on the tubular shaft and solid shaft by analyzing the under-fill, metal flow, effective stress and load characteristics. The tubular shaft and solid shaft were designed 6 stage process by upper and lower die. The results were analysed by using a finite elements analysis method. The coefficient of frictions were set Oil_Cold conditions as referred to the analysis library. It was found that the actual under-fill phenomenon was not observed in both tubular and solid shaft. The load values of tubular and solid shaft were 520ton and 255ton, respectively. These values were under the limit of forging machine maximum value.

PURPOSES : The Toll Collection System (TCS) operated by the Korea Expressway Corporation provides accurate traffic counts between tollgates within the expressway network under the closed-type toll collection system. However, although origin-destination (OD) matrices for a travel demand model can be constructed using these traffic counts, these matrices cannot be directly applied because it is technically difficult to determine appropriate passenger car equivalent (PCE) values for the vehicle types used in TCS. Therefore, this study was initiated to systematically determine the appropriate PCE values of TCS vehicle types for the travel demand model. METHODS: To search for the appropriate PCE values of TCS vehicle types, a traffic demand model based on TCS-based OD matrices and the expressway network was developed. Using the traffic demand model and a genetic algorithm, the appropriate PCE values were optimized through an approach that minimizes errors between actual link counts and estimated link volumes. RESULTS : As a result of the optimization, the optimal PCE values of TCS vehicle types 1 and 5 were determined to be 1 and 3.7, respectively. Those of TCS vehicle types 2 through 4 are found in the manual for the preliminary feasibility study. CONCLUSIONS: Based on the given vehicle delay functions and network properties (i.e., speeds and capacities), the travel demand model with the optimized PCE values produced a MAPE value of 37.7%, RMSE value of 17124.14, and correlation coefficient of 0.9506. Conclusively, the optimized PCE values were revealed to produce estimates of expressway link volumes sufficiently close to actual link counts.

This study is designed to measure the impact of a car’s horse power and torque - aspects related to performance among various factors that affect consumer purchase decision-on consumers when buying a car. The research of the results can be interpreted as indicating that the premise, “The impact of torque and horsepower on consumer purchase decision is not significant,” is true.