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.
논문 기본 정보
- 저자정보
피인용 0
초록·키워드
The aerodynamic characteristics of various short and medium range air-to-air missiles are predicted by using the U.S.
Air Force Missile DATCOM (97 version), which predicts the aerodynamic forces, moments, and stability derivatives of axi-symmetric and non-axisymmetric missile configurations for the wide range of angle of attacks and Mach numbers. To validate the accuracy of the code, the normal force, pitching moment and axial force of two missile configurations, Air Intercept Missile, AIM 7 and a generic missile shape with a high-aspect-ratio wing-body-tail configuration, are compared with the experimental data and the results using AeroPrediction 98 (AP98). The error for each aerodynamic component is calculated and evaluated. Next. the aerodynamic characteristics of AIM 9B and AMRAM 120B are evaluated and aero-data base are constructed for the fixed control surfaces. Finally, the aerodynamic optimization of the short range missile is performed using the Neural Networks. and shows the improvement in the range of missile by optimizing the wing configuration with four design variables and the finesses ratio.
Air Force Missile DATCOM (97 version), which predicts the aerodynamic forces, moments, and stability derivatives of axi-symmetric and non-axisymmetric missile configurations for the wide range of angle of attacks and Mach numbers. To validate the accuracy of the code, the normal force, pitching moment and axial force of two missile configurations, Air Intercept Missile, AIM 7 and a generic missile shape with a high-aspect-ratio wing-body-tail configuration, are compared with the experimental data and the results using AeroPrediction 98 (AP98). The error for each aerodynamic component is calculated and evaluated. Next. the aerodynamic characteristics of AIM 9B and AMRAM 120B are evaluated and aero-data base are constructed for the fixed control surfaces. Finally, the aerodynamic optimization of the short range missile is performed using the Neural Networks. and shows the improvement in the range of missile by optimizing the wing configuration with four design variables and the finesses ratio.
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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