Xinghao Wen

ORCID: 0009-0004-5997-5272
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About
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Research Areas
  • Superconducting Materials and Applications
  • Particle accelerators and beam dynamics
  • Magnetic confinement fusion research
  • Data Quality and Management
  • Erythrocyte Function and Pathophysiology
  • Electromagnetic Launch and Propulsion Technology
  • Silicon and Solar Cell Technologies
  • Advanced Data Storage Technologies
  • Digital Imaging for Blood Diseases
  • Microstructure and Mechanical Properties of Steels
  • Big Data Technologies and Applications
  • Scientific Computing and Data Management

Anhui University of Science and Technology
2023-2024

Chinese Academy of Sciences
2021-2022

University of Science and Technology of China
2021-2022

Institute of Plasma Physics
2021-2022

The Central Solenoid Model Coil (CSMC) has been manufactured as part of the R&D projects for China Fusion Engineering Test Reactor (CFETR), and it will undergo testing in second half 2024. For safety operation magnet, predictive analyses are required to study thermal-hydraulic behavior CSMC during quench. In this paper, different quench initial position is detailed studied, example, initiates at peak magnetic field region lowest region. addition, disturbances considered, such (disturber...

10.1109/tasc.2024.3390088 article EN IEEE Transactions on Applied Superconductivity 2024-04-17

Within the framework of comprehensive research facility for fusion technology (CRAFT) activities, a prototype toroidal field (TF) coil has been designed and will be manufactured at Institute Plasma Physics, Chinese Academy Sciences (ASIPP), in Hefei. The main purpose is to develop validate manufacturing technologies large-scale superconducting coils China Fusion Engineering Test Reactor (CFETR). To ensure safe operation CFETR device, Gandalf-Fluent tool 4C code are employed evaluate...

10.1016/j.fusengdes.2023.114033 article EN cc-by Fusion Engineering and Design 2023-11-09

In recent years, machine-learning (ML) research methods have received increasing attention in the tokamak community. The conventional database (i.e., MDSplus for tokamak) of experimental data has been designed small group consumption and is mainly aimed at simultaneous visualization a amount data. ML access patterns fundamentally differ from traditional patterns. typical increasingly showing its limitations. We developed new management system suitable based on advanced superconducting (EAST)...

10.1109/tps.2022.3223732 article EN IEEE Transactions on Plasma Science 2022-12-01

To establish the method and standard for manufacture key components CFETR, Comprehensive Research Facility Fusion Technology (CRAFT) project started in September 2019. The TF prototype coil is one sub-task of CRAFT project, which can meet physical engineering requirements CFETR. Although safety margin has been fully considered design, could experience a quench during electrical testing. Due to large stored magnetic energy CFETR coil, severe detection have put accurately quickly trigger...

10.1109/tasc.2024.3381106 article EN IEEE Transactions on Applied Superconductivity 2024-03-27

The toroidal field (TF) coil is a crucial system in the tokamak, which provides main magnetic to confine plasma. One TF of China Fusion Engineering Test Reactor (CFETR) will be constructed with support Chinese government next five years. In order study quench behavior CFETR coil, assumed initiation at maximum and minimum temperature margin position analyzed, effect detection threshold on hot spot studied. It found that 0.5 V voltage leads above 250 K low-field region. meet design criteria...

10.1109/tasc.2021.3057079 article EN IEEE Transactions on Applied Superconductivity 2021-02-05

In recent years, machine learning (ML) research methods have received increasing attention in the tokamak community. The conventional database (i.e., MDSplus for tokamak) of experimental data has been designed small group consumption and is mainly aimed at simultaneous visualization a amount data. ML access patterns fundamentally differ from traditional patterns. typical increasingly showing its limitations. We developed new management system suitable based on Experimental Advanced...

10.48550/arxiv.2206.08414 preprint EN cc-by-nc-nd arXiv (Cornell University) 2022-01-01
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