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생성형 인공지능 Job File 생성 및 작업자 행태 이슈에 대한 현장 실증연구
김낙일(Nakil Kim),김원현(Wonhyun Kim),윤승정(SeongJeong Yoon) 한국정보기술학회 2024 한국정보기술학회논문지 Vol.22 No.3
In the recent manufacturing sector, there has been an expanding adoption of collaborative robots beyond industrial robots. The primary objective is to enhance productivity and ensure the safety of workers. However, it has been reported that generating the control code, known as the Job file, for industrial robot control still takes a minimum of six months or more. Furthermore, while worker safety has improved, there are still unresolved issues and concerns in the field. Therefore, through interviews with on-site managers, the aim is to propose procedures, functions, and roles for the application of artificial intelligence elements in the automotive production process in the future. This is to address the issues in the field effectively. Additionally, a specific investigation will be conducted to determine why automation is needed in places where worker risk is high. Through this research, the goal is to provide guidelines for generating artificial intelligence-based code for robot control and emphasize key management factors for ensuring worker safety.
CAE를 이용한 항공용 장비 장착대의 구조 안전성 해석
이강욱(Kangwook Lee),한종표(Han Jong Pyo),변진구(Byun JinKu),김원현(Wonhyun Kim),최지호(Ji-Ho Choi) 대한기계학회 2010 대한기계학회 춘추학술대회 Vol.2010 No.11
Some aerospace equipment use the mount tray for convenience of installation or uninstallation to the aerospace vehicle. In the aerospace vehicle, the weight is the most important factor to design the vehicle. Because, it has an influence on fuel, and that go into effect at cost. So, the mount tray is required to have not only strength, stiffness but also light weight. In this study, an analysis method of mount tray using finite element model(FEM) has been presented. Using this FEM, Vibration analysis and Acceleration analysis are conducted to confirm the structural safety. Structural analysis and material study were performed on mount tray. The finite element analysis(FEA) were performed with NASTRAN and the solid models were generated with IDEAS.