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Design and Test Result of a Superconducting Double-Spoke Cavity
Tiancai Jiang,Yulu Huang,Shengxue Zhang,Lubei Liu,Pingran Xiong,Chunlong Li,Hao Guo,Weiming Yue,Shenghu Zhang,Yuan He 한국원자력학회 2019 Nuclear Engineering and Technology Vol.51 No.3
Superconducting multi-spoke cavities are outstanding alternative choice for acceleration of heavy ions inmedium velocity regimes. Based on the scheme of China ADS, several researches on the superconductingdouble-spoke cavities were done and two prototype cavities have been developed. In this paper, the RFdesign, the mechanical design and fabrication considerations of the bare cavity will be described indetail. After Buffered Chemical Polishing and High Pressure Rinsing, one of the prototype cavities wasinstalled into the Vertical Test Stand for high gradient RF testing at 4.2 K. The measurement results of thequality factor as a function of the accelerating field and the maximum surface field will be presented. Anaccelerating gradient of more than 15 MV/m is achieved during the test, with maximum surface electricfield of 58 MV/m, and maximum surface magnetic field of 117 mT
Yan Liu,Fuli Wang,Yulu Xiong,Zhenyu Liu,Ruicheng Ma,Fei Chu 제어·로봇·시스템학회 2024 International Journal of Control, Automation, and Vol.22 No.3
To improve the accuracy of feature representation and abnormal condition identification, a new abnormal condition identification method, named integrating multiple binary neural networks based on condition-relevantinformation (CRI-MBNN), is presented for the electro-fused magnesia smelting process in this study. Firstly, thefeatures related to each specific abnormal condition, which is named condition-relevant information (CRI), are analyzed and extracted from the multi-source heterogeneous information with the help of limited and consensus domainknowledge. Then, the CRI is fused at the feature-level to provide a comprehensive representation of each abnormalcondition. Furthermore, for each abnormal condition, a binary neural network (BNN) is established based on thefused feature. They are further integrated according to the frequency of each condition in the actual productionprocess to form the final abnormal condition identification network, i.e., CRI-MBNN. Finally, the effectiveness andfeasibility of the proposed CRI-MBNN are verified by the electro-fused magnesia smelting process.
Yue Weiming,Zhang Shengxue,Li Chunlong,Jiang Tiancai,Liu Lubei,Wang Ruoxu,Huang Yulu,Tan Teng,Guo Hao,Zaplatin Evgeny,Xiong Pingran,Wu Andong,Wang Fengfeng,Zhang Shenghu,Huang Shichun,He Yuan,Yao Zeen 한국원자력학회 2020 Nuclear Engineering and Technology Vol.52 No.8
As a part of R&D work for the high intensity proton linac of China Accelerator Driven Sub-critical System project, a superconducting half-wave cavity with a frequency of 162.5 MHz and an optimal beta of 0.15 (HWR015) has been developed at Institute of Modern Physics (IMP), Chinese Academy of Sciences. In this paper, the design and test results will be described in detail. We introduced a new stiffening strategy for the HWR cavity, the simulation results show that the cavity has much lower frequency sensitivity coefficient (df/dp), Lorentz force detuning coefficient (KL), and can achieve more stable mechanical properties. The performance of the HWR cavity operated in cryostat will be also reported.