인문학
사회과학
자연과학
공학
의약학
농수해양학
예술체육학
복합학
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.
학술저널
Full-text AI
오류 신고하기해당 페이지 내 제목·저자·목차·페이지정보가 잘못된 경우 알려주세요!
초록·키워드
Mars atmospheric aircraft often encounter low Reynolds number conditions ranging from 10<SUP>4</SUP> to 10<SUP>5</SUP>, resulting in complex flow characteristics over airfoils, such as the formation of a laminar separation bubble(LSB). Accurate prediction of the LSB is important as it directly impacts the aerodynamic performance of the aircraft. To accurately capture the LSB, a high-fidelity analysis is required. In this study, we conducted PyFR-based implicit large eddy simulation using GPU acceleration to identify the effect of various grid parameters on aerodynamic performance and flow structure. Grid tests were performed under incompressible conditions with a Reynolds number = 30,000 and angle of attack = 8°, a short LSB which showed a high sensitivity to grid resolution was observed. The grid parameter study of the near-wall grid resolution, spanwise grid resolution, spanwise domain size, and far-field boundary size were conducted. The convergence of the aerodynamic coefficients, the location and length of the LSB were compared. It was analyzed that the spanwise grid resolution had the smallest effect on the aerodynamic coefficient, and it was confirmed that a certain level or more of the near-wall grid resolution and spanwise domain size are required to properly predict the LSB.
본문·목차
인공지능 문자 인식 모델을 통해 추출된 텍스트로, 일부 오타나 오류가 포함될 수 있으나 지속적으로 개선 중입니다.
오류를 발견하셨다면 해당 부분을 드래그한 후 ' 를 통해 신고해주세요.
오류를 발견하셨다면 해당 부분을 드래그한 후 ' 를 통해 신고해주세요.
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