인문학
사회과학
자연과학
공학
의약학
농수해양학
예술체육학
복합학
DBpia AI
AI 에이전트
AI 아이디어
AI 리더
AI 뷰어
Citeasy
크롬 서지관리 다운로드
지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
피인용 0
초록·키워드
Modern manufacturing industry faces the challenge of achieving both flexibility and efficiency in production processes. This is also a critical factor in the die-casting industry, which adopts a cell production system to enhance productivity through process independence and rapid changeover. However, the deburring process, a representative post-processing stage of diecasting products, still relies heavily on manual labor, leading to quality variations and poor working conditions. Therefore, introducing robot-based automation is required, yet its application remains limited due to increased teaching points, tool posture optimization, and collision avoidance issues caused by complex product geometries. To address these limitations, this study first conducted a simulation-based analysis to verify the feasibility of automated deburring processes. Second, a process simulation automation methodology was proposed to eliminate inefficiencies in process modeling and simulation. The proposed approach integrates an application programming interface (API) of a commercial robot simulation software, based on a standard input template with a path optimization algorithm, enabling automatic coordinate input and adaptive operation for various scenarios such as product changes and object position variations. As a result, the automated module reduced the total modeling and analysis time simulation and improved process efficiency.
본문·목차
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