SNUEI

Thermal Analysis and In-Field Critical Current Estimation of Conduction-Cooled REBCO Magnet Considering Nonuniform Temperature Distribution

2023 · IEEE Transactions on Applied Superconductivity

저자

Quanyue Liu, Yonghyun Kwon, Jeongmin Mun, Jongho Choi, Kideok Sim, Geonyoung Kim, 한승용 (Seungyong Hahn), Seokho Kim

연구주제

Superconducting Materials and Applications · Particle accelerators and beam dynamics

NTIS 과학기술표준분류

에너지/자원만에너지·환경·원자력 확장

전기/전자 > 중전기기 > 초전도 기술/제품에너지 외

배정 근거: AI 키워드가 잡은 NTIS 과제의 분류(정책 연계 맵과 같은 방법).

AI 연구 키워드·방법

전도냉각 자석 임계전류 hot spot

기계학습

키워드 (OpenAlex)

REBCO coated conductors non-uniform temperature distribution normal zone propagation hot spots thermal contact resistance thermal grease equivalent thermal conductivity artificial neural networks

초록

Due to the high upper critical field and transition temperature, REBCO coated conductor show great promise for conduction-cooled magnet applications. The normal zone of high temperature conductor (HTS) spreads slowly, and the conversion of a weak spot into a hot spot is localized and quite fast. Hence, in-field critical current weak spot evaluation under the nonuniform temperature gradient is important for conduction-cooled magnet stability estimation. Cooling path design needs to take the weak spot into account. In this study, a temperature-field-angle dependent critical current estimation neural network was first trained based on a public database of HTS critical current. The equivalent thermal conductivity was applied for the interface contact between the turns. Thermal contact conditions were given to the interface between the coil and bobbin considering actual production situations,…

이 논문을 지원한 국가R&D 과제 (NTIS 성과)

연도과제부처사업수행기관NTIS 분류(1순위)
2023극한환경 스마트 기계 부품 설계/제조 혁신 센터과학기술정보통신부집단연구지원창원대학범위 밖

인접 그래프

노드 hover = 이웃 강조 · 1회 클릭 = 고정 · 고정된 노드 다시 클릭 = 페이지 이동

이 문서와 연결된 페이지

교수 1

한승용

연구주제 1

Superconducting Materials and Applications

정책분야 1

중전기기

키워드 2

전도냉각 자석 · 임계전류

방법 1

기계학습