메뉴 건너뛰기
.. 내서재 .. 알림
소속 기관/학교 인증
인증하면 논문, 학술자료 등을  무료로 열람할 수 있어요.
한국대학교, 누리자동차, 시립도서관 등 나의 기관을 확인해보세요
(국내 대학 90% 이상 구독 중)
로그인 회원가입 고객센터 ENG
주제분류

추천
검색
질문

논문 기본 정보

자료유형
학술저널
저자정보
김태주 (Korea Aerospace Research Institute) 백승길 (Korea Aerospace Research Institute) 임재혁 (Jeonbuk National University)
저널정보
한국소음진동공학회 한국소음진동공학회논문집 한국소음진동공학회논문집 제32권 제2호(통권 265호)
발행연도
2022.4
수록면
141 - 150 (10page)
DOI
10.5050/KSNVE.2022.32.2.141

이용수

표지
📌
연구주제
📖
연구배경
🔬
연구방법
🏆
연구결과
AI에게 요청하기
추천
검색
질문

초록· 키워드

오류제보하기
For a rotor system in which the hub/control design and blade OML were determined, the internal structural shape of the blade was designed using the dynamic characteristic surrogate model to maximize the difference between the rotating natural frequency and the integral multiple of the rotational operating frequency. Based on the general blade structure design procedure, an analysis procedure for generating a dynamic characteristic surrogate model was established, and design variables were selected to define the shapes of the internal components. To generate a dynamic characteristic surrogate model, a space filling design method, a type of design of experiment, was applied to generate design variable input values for database configuration. In this process, a range of design variables and constraint conditions suitable for blade design conditions were considered. Based on the analysis results of the finite element 2D sectional properties for various shape input conditions, a 1D beam model dynamic analysis was performed to build a rotation natural frequency database. Using this database, a dynamic characteristic surrogate model for the blade structure design was generated. A regression model and an artificial neural network model were used as surrogate models, and the 1st ~ 4th modes of the blade rotation natural frequency were predicted with the surrogate model and compared with the actual analysis results. Additionally, the values of design variables that can satisfy the dynamic characteristic requirement were selected through probability analysis of the two dynamic characteristic surrogate models, and the accuracy of the predicted values was also confirmed by comparing the analysis results.

목차

ABSTRACT
1. 서론
2. 본론
3. 결론
References

참고문헌 (11)

참고문헌 신청

함께 읽어보면 좋을 논문

논문 유사도에 따라 DBpia 가 추천하는 논문입니다. 함께 보면 좋을 연관 논문을 확인해보세요!

이 논문의 저자 정보

이 논문과 함께 이용한 논문

최근 본 자료

전체보기

댓글(0)

0

UCI(KEPA) : I410-ECN-0101-2022-424-001127213