SCI和EI收录∣中国化工学会会刊

Chinese Journal of Chemical Engineering ›› 2025, Vol. 82 ›› Issue (6): 246-255.DOI: 10.1016/j.cjche.2025.02.010

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Evaluation of live Cryo-ECT system for liquid nitrogen-vapor nitrogen flow

Zenan Tian1, Zhiyu Zhang2,3, Xiang Li2, Xinxin Gao1, Ziru Ren1, Xiaobin Zhang1   

  1. 1. Institute of Refrigeration and Cryogenics, Zhejiang University, Hangzhou 310027, China;
    2. Zhejiang Baima Lake Laboratory Co., LTD, Hangzhou 310027, China;
    3. Zhejiang Zheneng Aerospace Hydrogen Technology Co., LTD, Hangzhou 310027, China
  • Received:2024-12-24 Revised:2025-02-21 Accepted:2025-02-24 Online:2025-03-08 Published:2025-08-19
  • Contact: Xiaobin Zhang,E-mail:zhangxbin@zju.edu.cn
  • Supported by:
    This work was supported by the National Natural Science Foundation of China (51976177) and the National Key Research and Development Program of China (2022YFB4000047).

Evaluation of live Cryo-ECT system for liquid nitrogen-vapor nitrogen flow

Zenan Tian1, Zhiyu Zhang2,3, Xiang Li2, Xinxin Gao1, Ziru Ren1, Xiaobin Zhang1   

  1. 1. Institute of Refrigeration and Cryogenics, Zhejiang University, Hangzhou 310027, China;
    2. Zhejiang Baima Lake Laboratory Co., LTD, Hangzhou 310027, China;
    3. Zhejiang Zheneng Aerospace Hydrogen Technology Co., LTD, Hangzhou 310027, China
  • 通讯作者: Xiaobin Zhang,E-mail:zhangxbin@zju.edu.cn
  • 基金资助:
    This work was supported by the National Natural Science Foundation of China (51976177) and the National Key Research and Development Program of China (2022YFB4000047).

Abstract: A cryogenic visible calibration and image evaluation facility (VCCIEF) was constructed to assess the effectiveness of electrical capacitance tomography systems in cryogenic conditions, known as Cryo-ECT. This facility was utilized to conduct dynamic, real-time imaging trials with liquid nitrogen (LN2). The actual flow patterns were captured using a camera and contrasted with the imaging outcomes. The capacitance data collected from these experiments were subsequently processed using three distinct methods: linear back projection, Landweber iteration, a fully connected deep neural network, and a convolutional neural network. This allowed for a comparative analysis of the performance of these algorithms in practical scenarios. The findings from the LN2 experiments demonstrated that the Cryo-ECT system, when integrated with the VCCIEF, was capable of successfully executing calibration, generating flow patterns, and performing imaging tasks. The system provided observable, clear, and precise phase distributions of the liquid nitrogen-vaporous nitrogenflow within the pipeline.

Key words: Electrical capacitance tomography, Cryogenic, Flow visualization, Two-phase flow, Artificial neural network

摘要: A cryogenic visible calibration and image evaluation facility (VCCIEF) was constructed to assess the effectiveness of electrical capacitance tomography systems in cryogenic conditions, known as Cryo-ECT. This facility was utilized to conduct dynamic, real-time imaging trials with liquid nitrogen (LN2). The actual flow patterns were captured using a camera and contrasted with the imaging outcomes. The capacitance data collected from these experiments were subsequently processed using three distinct methods: linear back projection, Landweber iteration, a fully connected deep neural network, and a convolutional neural network. This allowed for a comparative analysis of the performance of these algorithms in practical scenarios. The findings from the LN2 experiments demonstrated that the Cryo-ECT system, when integrated with the VCCIEF, was capable of successfully executing calibration, generating flow patterns, and performing imaging tasks. The system provided observable, clear, and precise phase distributions of the liquid nitrogen-vaporous nitrogenflow within the pipeline.

关键词: Electrical capacitance tomography, Cryogenic, Flow visualization, Two-phase flow, Artificial neural network