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
Physical simulation in virtual reality has been widely used in the game/film/media industry. Recently, as convergence with physical space has occurred, it has been replaced by the terms extended reality or mixed reality, and is expanding into industrial fields that require digital twins. Previously, users in extended reality field have utilized high-speed, low-accuracy flow simulations such as SPH, but as industrial and research applications are considered, need to execute high-precision, high-speed flow simulations required for simulation digital twins in the reality space has emerged. In this study, we developed extended reality-based scientific simulation and visualization modules related to various aircrafts such as delivery drone and UAM. The simulation module was developed so that it runs high-precision eddy particle simulations capable of analyzing turbulence-based rotor-wall interaction on a server. Next the visualization module renders the results on headset devices such as Hololens 2. This research employed a vortex particle method for accurate and fast fluid flow simulation, and developed mobile visualization pipeline with Unity3D renderer and web protocol. Using a particle simulator named ‘FLOWUnsteady’, it was considered to score at least 75% accuracy for bearable content play speed. This study showed that such heavy simulation as industry-level unsteady fluid flow can be performed in immersive extended reality space. In the future condition of higher computational and network capacity, the developed simulation modules will be combined with other extended reality interactions like gesture and haptic for better experiences on content applications.
본문·목차
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