기관회원 [로그인]
소속기관에서 받은 아이디, 비밀번호를 입력해 주세요.
개인회원 [로그인]

비회원 구매시 입력하신 핸드폰번호를 입력해 주세요.
본인 인증 후 구매내역을 확인하실 수 있습니다.

회원가입
서지반출
Development of Thermal Gradient Prediction Method for Thermal Barrier Coating
[STEP1]서지반출 형식 선택
파일형식
@
서지도구
SNS
기타
[STEP2]서지반출 정보 선택
  • 제목
  • URL
돌아가기
확인
취소
  • Development of Thermal Gradient Prediction Method for Thermal Barrier Coating
  • Development of Thermal Gradient Prediction Method for Thermal Barrier Coating
저자명
Kim. Yongseok,Seok. Chang-Sung,Lee. Si-Young,Koo. Jae-Mean,Kim. Sang-Hoon,Yang. Sung-Ho
간행물명
International journal of precision engineering and manufacturing
권/호정보
2014년|15권 6호|pp.1029-1033 (5 pages)
발행정보
한국정밀공학회
파일정보
정기간행물|ENG|
PDF텍스트
주제분야
기타
이 논문은 한국과학기술정보연구원과 논문 연계를 통해 무료로 제공되는 원문입니다.
서지반출

기타언어초록

Thermal barrier coatings (TBC) protect the components of gas turbines from severe environments by reducing the surface temperature of the substrate. Therefore, an accurate prediction of the temperature gradient (temperature drop) in TBC is an important issue when estimating the exact life of the components. Material properties of bulk ceramic are often used for the analysis. However, Bulk materials do not have the same material properties as thin ceramic layers due to differences in processing and micro structure. Bulk materials also have different interfacial properties since the ceramic is sprayed on different materials with highly conductivity. Therefore, it is necessary to develop a thermal barrier performance test method using a TBC applied to real gas turbine. In this study, a thermal barrier performance test method was developed using the TBC applied to real gas turbine. The thermal gradient of a real gas turbine was analyzed by FEA, using measured conductive heat transfer coefficients. A simple equation that can predict thermal gradient conditions of the components in a gas turbine from measured temperature of the test is proposed. Finally, Thermal barrier performance tests on various TBCs were conducted. The test method was verified by comparing the tested data with reference data.