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
배정 근거: AI 키워드가 잡은 NTIS 과제의 분류(정책 연계 맵과 같은 방법).
AI 연구 키워드·방법
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)
| 연도 | 과제 | 부처 | 사업 | 수행기관 | NTIS 분류(1순위) |
|---|---|---|---|---|---|
| 2023 | 극한환경 스마트 기계 부품 설계/제조 혁신 센터 | 과학기술정보통신부 | 집단연구지원 | 창원대학 | 범위 밖 |
인접 그래프
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교수 1
연구주제 1
Superconducting Materials and Applications