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Cryogenic Two-Phase Flow and Heat Transfer: Theory, Methods and Applications

A special issue of Energies (ISSN 1996-1073). This special issue belongs to the section "J1: Heat and Mass Transfer".

Deadline for manuscript submissions: 4 September 2024 | Viewed by 776

Special Issue Editor


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Guest Editor
Institute of Refrigeration and Cryogenics, Zhejiang University, Hangzhou 310027, China
Interests: cryogenic two phase flow; cavitation; coriolis mass flowmeter; electrical capacitance tomography

Special Issue Information

Dear Colleagues,

Cryogenic liquids are fluids whose temperature are typically below 120 K. Typical cryogenic liquids, such as liquid hydrogen, liquid nitrogen, liquid natural gas, and liquid oxygen, usually serve as the fuels in rocket propulsion systems and other cryogenic applications, and are generally operated close to their critical points. Compared to room temperature fluids, such as water, cryogenic fluids often have lower viscosity, surface tension, and liquid–gas density ratio, and steeper saturated vapor pressure–temperature relationships. These characteristics make the flow, heat transfer, and phase transition characteristics of cryogenic two-phase flows exhibit different characteristics, resulting in different correlations.

Cryogenic two-phase flow is a very common phenomenon that occurs in many cryogenic liquid mechanical devices, including hydraulic machinery such as centrifugal pumps, turbines, hydrofoils and liquid channels such as deflectors, flow meters, valves, pipes, and nozzles. It is related to the core key technical issues faced by aerospace and multiple other industrial fields, such as air separation. In recent years, with the development of liquid hydrogen technology, the application of liquid hydrogen two-phase flow is more and more extensive.

This Special Issue aims to present and disseminate the most recent advances related to the theory, design, modelling, application, measurement and control of all types of cryogenic two-phase flows.

Topics of interest for publication include, but are not limited to:

  • Fundamental theory of multiphase flows for cryogenic fluids;
  • Theoretical/computational multiphase flows for cryogenic fluids;
  • Experimental multiphase flows in cryogenic fluids;
  • Applications of multiphase flows in cryogenic fluids;
  • Advanced computational methodologies of multiphase flows;
  • Cryogenic multiphase flows in aerospace;
  • Cryogenic multiphase flows in hydrogen energy.

Prof. Dr. Xiaobin Zhang
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Energies is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • cryogenic
  • two-phase flow
  • liquid hydrogen
  • theoretical/computational multiphase flows
  • cavitation
  • cryogenic flooding flow
  • cryogenic pump, turbine

Published Papers (1 paper)

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Research

17 pages, 4440 KiB  
Article
Evaluation of Landweber Coupled Least Square Support Vector Regression Algorithm for Electrical Capacitance Tomography for LN2–VN2 Flow
by Ze-Nan Tian, Xin-Xin Gao, Tao Xia and Xiao-Bin Zhang
Energies 2023, 16(22), 7661; https://doi.org/10.3390/en16227661 - 20 Nov 2023
Viewed by 466
Abstract
The electric capacitance tomography (ECT) technique has been widely used in phase distribution reconstruction, while the practical application raised nonideal noise and other errors for cryogenic conditions, requiring a more accurate algorithm. This paper develops a new image reconstruction algorithm for ECT by [...] Read more.
The electric capacitance tomography (ECT) technique has been widely used in phase distribution reconstruction, while the practical application raised nonideal noise and other errors for cryogenic conditions, requiring a more accurate algorithm. This paper develops a new image reconstruction algorithm for ECT by coupling the traditional Landweber algorithm with the least square support vector regression (LSSVR) for cryogenic fluids. The performance of the algorithm is quantitatively evaluated by comparing the inversion images with the experimental results for both the room temperature working medium with the dielectric constant ratio close to cryogenic fluid and the cryogenic fluid of liquid nitrogen/nitrogen vapor (LN2-VN2). The inversion images based on the conventional LBP and Landweber algorithms are also presented for comparison. The benefits and drawbacks of the developed algorithms are revealed and discussed, according to the results. It is demonstrated that the correlated coefficients of the images based on the developed algorithm reach more than 0.88 and a maximum of 0.975. In addition, the minimum void fraction error of the algorithm is reduced to 0.534%, which indicates the significant optimization of the LSSVR coupled method over the Landweber algorithm. Full article
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