Control method for accelerating cooling of conduction type high-temperature superconducting magnet
By analyzing the heat exchange and finite element simulation of the superconducting magnet cooling system, and optimizing parameters such as liquid helium flow rate and fin spacing, the stability and liquid helium consumption problems of the cooling system for small and medium-sized superconducting magnets were solved, and efficient and safe cooling control was achieved.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-12-23
- Publication Date
- 2026-03-13
AI Technical Summary
Existing cooling systems for small and medium-sized superconducting magnets have poor stability when small cryogenic refrigerators fail, consume a large amount of liquid helium, and lack stability and energy consumption control during long-term use.
By analyzing the heat exchange mode and transfer direction of the cooling system, and combining finite element simulation, the pressure, temperature and liquid level data of the superconducting magnet are obtained, a cooling control strategy is generated, and parameters such as liquid helium flow rate, temperature and fin spacing are optimized to ensure stable system operation.
This improves the stability and cooling efficiency of the superconducting magnet cooling system, reduces liquid helium consumption, and ensures the safety and efficiency of the system under normal operating conditions.
Smart Images
Figure CN121662583A_ABST
Abstract
Description
Technical Field
[0001] This invention relates to the field of superconducting magnet materials technology, and in particular to a control method for accelerating the cooling of conductive high-temperature superconducting magnets. Background Technology
[0002] One widely used cooling system for small and medium-sized superconducting magnets in recent years employs a small cryogenic refrigerator to directly cool the magnet. While this system is simple in structure and easy to operate, it lacks internal cooling capacity. When the small cryogenic refrigerator malfunctions, the superconducting magnet's temperature rises rapidly, leading to quenching failure and poor operational stability. In contrast, cooling systems for small and medium-sized superconducting magnets used in industrial production and medical equipment typically employ a small cryogenic refrigerator for liquid helium recondensation. This method involves placing the superconducting magnet in a multi-layered insulated container filled with liquid helium. The cooling capacity of the small cryogenic refrigerator compensates for heat leakage from the container, ensuring stable operation of the superconducting magnet. This method is also commonly used in superconducting magnet cooling systems in industrial production and medical devices such as magnetic resonance imaging (MRI) systems. However, in the existing technology, most cooling system research is for experimental use purposes, thus neglecting the stability of superconducting magnets during long-term use and the control of energy consumption of the cooling system under normal working conditions. As a result, most cooling systems suffer from various problems such as high liquid helium consumption and low system stability. Therefore, how to provide a control method to accelerate the cooling of conductive high-temperature superconducting magnets is a technical problem that urgently needs to be solved by those skilled in the art. Summary of the Invention
[0003] In view of this, the present invention proposes a control method for accelerating the cooling of conductive high-temperature superconducting magnets. This invention analyzes the static and dynamic heat exchange processes of the cooling system under normal operating conditions of the superconducting magnet system, optimizes the conditions for maintaining a stable operating state of the cooling system during heat exchange with the external environment, and provides a strategic basis for the cooling control of the cooling system, thereby improving the system's cooling efficiency and operational stability. To achieve the above objectives, the present invention provides the following technical solution: a control method for accelerating the cooling of conductive high-temperature superconducting magnets, applied to a superconducting magnet cooling system, the superconducting magnet cooling system comprising: a GM refrigerator; a finned heat exchanger connected to the GM refrigerator; and a liquid helium container connected to the finned heat exchanger; the method comprising: acquiring the heat exchange mode and transfer direction of the superconducting magnet cooling system under operating conditions, and acquiring the pressure data curve, temperature data curve, and liquid level data curve of the high-temperature superconducting magnet after excitation during operation; based on... The static operating characteristics of the superconducting magnet cooling system are obtained by comparing the pressure data curve, the temperature data curve, the liquid level data curve, and the heat leakage of the superconducting magnet cooling system. The static operating points of the superconducting magnet cooling system under different conditions are also obtained. The internal temperature field and phase distribution field of the superconducting magnet cooling system are analyzed through finite element simulation analysis, and a comparison is made based on the relationship between the heat transfer efficiency of the finned heat exchanger and the fin spacing. Based on the static operating points of the superconducting magnet cooling system under different conditions and the comparison results, a control strategy for cooling the high-temperature superconducting magnet is generated.
[0004] In some embodiments of this application, obtaining pressure data curves of a high-temperature superconducting magnet during operation after excitation includes: The heat leakage p of the superconducting magnet cooling system and the surface temperature T of the finned heat exchanger are obtained. Define an initial value T0 for the saturation temperature of helium, and calculate the saturation density of liquid helium and the saturation density of helium gas based on the initial value T0. Based on the heat leakage p of the superconducting magnet cooling system and the saturation densities of the liquid helium and the helium gas, the saturation temperature T1 of the helium gas is calculated using a preset heat transfer condensation equation. Calculate the absolute value i of the difference between the saturation temperature T1 and the initial saturation temperature T0 of the helium gas, and calculate the saturation pressure of the helium gas at saturation based on the relationship between the absolute value i and a preset standard value k; wherein, When i < k, calculate the saturation pressure of the helium gas at saturation and output the calculation result; When i≥k, the saturation temperature T1 of the helium is taken as the initial value of the saturation temperature of the helium, and the saturation density of liquid helium and the helium are calculated based on the saturation temperature T1 of the helium. The pressure data curve is generated based on the saturation pressure of the helium gas.
[0005] In some embodiments of this application, the saturation temperature T1 of the helium gas is calculated using a preset heat transfer condensation equation, including: The saturation temperature T1 of the helium gas is calculated using the following formula: ; In the formula, q c This refers to the power of the GM chiller. T is the total condensation heat transfer coefficient, A is the total heat transfer area of the finned heat exchanger, and T is the total condensation heat transfer coefficient. sat T is the saturation temperature of helium. s This refers to the fin wall temperature.
[0006] In some embodiments of this application, after obtaining the static operating characteristics of the superconducting magnet cooling system and the static operating point of the superconducting magnet cooling system under different conditions based on the pressure data curve, the temperature data curve, and the liquid level data curve and the heat leakage of the superconducting magnet cooling system, the method further includes: During the heat exchange process between the finned heat exchanger and the liquid helium, when the heat flow rate per unit area of the finned heat exchanger is greater than 0.1 W / m² 2 At that time, the size of the boiling bubbles is obtained, and a mapping model of the relationship between the size of the bubbles and the temperature of the liquid helium during the boiling process is established; The dynamic operating characteristics of the superconducting magnet cooling system are obtained based on the temperature relationship mapping model, and the dynamic operating points of the superconducting magnet cooling system under different conditions are obtained.
[0007] In some embodiments of this application, it also includes: Based on the dynamic operating characteristics of the superconducting magnet cooling system and the dynamic operating point of the superconducting magnet cooling system under different conditions, the static operating characteristics of the superconducting magnet cooling system and the static operating point of the superconducting magnet cooling system under different conditions are corrected. The pressure change curve of the superconducting magnet cooling system under a step change of heat leakage of 0.1W is calculated, and the pressure data curve is corrected based on the pressure change curve.
[0008] In some embodiments of this application, the internal temperature field and phase distribution field of the superconducting magnet cooling system are analyzed by finite element simulation analysis, and comparison results are obtained based on the relationship between the heat transfer efficiency of the finned heat exchanger and the fin spacing, including: Based on Ansys, the high-temperature superconducting magnet is divided into blocks, and the temperature field of the inner and outer surfaces of the high-temperature superconducting magnet is calculated. The highest temperature and the maximum critical temperature of the inner and outer surfaces of the high-temperature superconducting magnet are obtained. The critical heat loss value for the high-temperature superconducting magnet to lose quench is calculated based on the highest temperature and the maximum critical temperature of the inner and outer surfaces of the magnet.
[0009] In some embodiments of this application, it also includes: Based on Ansys, the high-temperature superconducting magnet is divided into blocks, and model parameters for the cooling system of the high-temperature superconducting magnet are set according to the material settings. These model parameters include density, specific heat capacity, thermal conductivity, and coefficient of thermal expansion. Boundary conditions for the high-temperature superconducting magnet are set, and initial temperature and phase distributions are established. The boundary conditions include temperature and heat flux. The high-temperature superconducting magnet is calculated using several preset heat transfer models and solution methods to obtain the phase distribution field inside the high-temperature superconducting magnet. The preset heat transfer models include heat conduction, convection, and radiation models, and the solution methods include steady-state and transient solutions. In some embodiments of this application, a control strategy for cooling the high-temperature superconducting magnet is generated based on the static operating point of the superconducting magnet cooling system under different conditions and comparison results. This includes: adjusting the flow rate and temperature of the liquid helium in real time based on the static operating point of the superconducting magnet cooling system under different conditions and comparison results. In some embodiments of this application, the method further includes: adjusting the pressure and liquid level of the liquid helium container in real time based on the static operating point of the superconducting magnet cooling system under different conditions and comparison results. In some embodiments of this application, the method further includes: Based on the static operating point of the superconducting magnet cooling system under different conditions and the comparison results, the fin spacing of the finned heat exchanger is adjusted.
[0010] This invention provides a control method for accelerating the cooling of conductive high-temperature superconducting magnets. Compared with existing technologies, its advantages are as follows: This invention analyzes the heat exchange mode and transfer direction of the cooling system under normal operating conditions, and optimizes the physical parameters required for stable operation of the superconducting magnet cooling system based on the pressure, temperature and liquid level data curves obtained during trial operation after the superconducting magnet is energized. Combined with the analysis of heat leakage and finite element simulation of the cooling system, the internal temperature field and phase distribution field of the cooling system are analyzed, providing strategic parameters for cooling control, and fully ensuring the efficient, stable and safe operation of the cooling process. Attached Figure Description
[0011] Various other advantages and benefits will become apparent to those skilled in the art upon reading the following detailed description of preferred embodiments. The accompanying drawings are for illustrative purposes only and are not intended to limit the invention. Furthermore, the same reference numerals denote the same parts throughout the drawings. In the drawings: Figure 1 This is a flowchart of a control method for accelerating the cooling of a conductive high-temperature superconducting magnet in an embodiment of the present invention; Figure 2 This is a functional block diagram of the superconducting magnet cooling system in an embodiment of the present invention. Detailed Implementation
[0012] Exemplary embodiments of the present disclosure will now be described in more detail with reference to the accompanying drawings. While exemplary embodiments of the present disclosure are shown in the drawings, it should be understood that the present disclosure may be implemented in various forms and should not be limited to the embodiments set forth herein. Rather, these embodiments are provided to enable a more thorough understanding of the present disclosure and to fully convey the scope of the disclosure to those skilled in the art. It should be noted that, unless otherwise specified, embodiments and features in the embodiments of the present invention can be combined with each other. The present invention will now be described in detail with reference to the accompanying drawings and embodiments.
[0013] See Figure 1-2 As shown, this invention provides a control method for accelerating the cooling of conductive high-temperature superconducting magnets, applied to a superconducting magnet cooling system. The superconducting magnet cooling system includes: a GM refrigerator; a finned heat exchanger connected to the GM refrigerator; and a liquid helium container connected to the finned heat exchanger. The method includes: S101: acquiring the heat exchange mode and transfer direction of the superconducting magnet cooling system under operating conditions, and acquiring the pressure data curve, temperature data curve, and liquid level data curve of the high-temperature superconducting magnet after excitation during operation; S102: based on the pressure data... Based on the curves, temperature data curves, and liquid level data curves, and the heat leakage of the superconducting magnet cooling system, the static operating characteristics of the superconducting magnet cooling system are obtained, and the static operating point of the superconducting magnet cooling system under different conditions is obtained; S103: The internal temperature field and phase distribution field of the superconducting magnet cooling system are analyzed through finite element simulation analysis, and the comparison results are obtained by comparing the heat transfer efficiency of the finned heat exchanger with the fin spacing; S104: Based on the static operating point of the superconducting magnet cooling system under different conditions and the comparison results, a control strategy for cooling high-temperature superconducting magnets is generated.
[0014] In one specific embodiment of this application, obtaining the pressure data curve of a high-temperature superconducting magnet during operation after excitation includes: obtaining the heat leakage p of the superconducting magnet cooling system and the surface temperature T of the finned heat exchanger. Define the initial value of the saturation temperature T0 of helium, and calculate the saturation density of liquid helium and gas helium based on the initial value of the saturation temperature T0. Based on the heat leakage p of the superconducting magnet cooling system and the saturation densities of liquid helium and helium gas, the saturation temperature T1 of helium gas is calculated by using a preset heat transfer condensation equation. Calculate the absolute value *i* of the difference between the saturation temperature *T1* and the initial saturation temperature *T0* of helium, and calculate the saturation pressure of helium at saturation based on the relationship between the absolute value *i* and the preset standard value *k*; where, When i < k, calculate the saturation pressure of helium when it is saturated and output the calculation result; When i≥k, the saturation temperature T1 of helium is taken as the initial value of the saturation temperature of helium, and the saturation density of liquid helium and helium gas is calculated based on the saturation temperature T1 of helium. Pressure data curves are generated based on the saturation pressure of helium.
[0015] In one specific embodiment of this application, the calculation of the saturation temperature T1 of helium gas using a preset heat transfer condensation equation includes: The saturation temperature T1 of helium is calculated using the following formula: ; In the formula, q c This refers to the power of the GM chiller. T is the total condensation heat transfer coefficient, A is the total heat transfer area of the finned heat exchanger, and T is the total condensation heat transfer coefficient. sat T is the saturation temperature of helium. s This refers to the fin wall temperature.
[0016] In one specific embodiment of this application, after obtaining the static operating characteristics of the superconducting magnet cooling system based on the pressure data curve, temperature data curve, and liquid level data curve and the heat leakage of the superconducting magnet cooling system, and obtaining the static operating point of the superconducting magnet cooling system under different conditions, the method further includes: In the heat exchange process between a finned heat exchanger and liquid helium, when the heat flow rate per unit area of the finned heat exchanger is greater than 0.1 W / m²... 2 At that time, the size of the boiling bubbles was obtained, and a mapping model of the relationship between the size of the bubbles and the temperature of the liquid helium during the boiling process was established. The dynamic operating characteristics of the superconducting magnet cooling system are obtained based on the temperature relationship mapping model, and the dynamic operating point of the superconducting magnet cooling system under different conditions is obtained.
[0017] In one specific embodiment of this application, it further includes: Based on the dynamic operating characteristics of the superconducting magnet cooling system and its dynamic operating point under different conditions, the static operating characteristics and static operating point of the superconducting magnet cooling system under different conditions are corrected. The pressure change curve of the superconducting magnet cooling system under a step change of 0.1W in heat leakage is calculated, and the pressure data curve is corrected based on the pressure change curve.
[0018] In one specific embodiment of this application, the internal temperature field and phase distribution field of the superconducting magnet cooling system are analyzed by finite element simulation analysis, and a comparison result is obtained based on the relationship between the heat transfer efficiency of the finned heat exchanger and the fin spacing, including: Based on Ansys, the high-temperature superconducting magnet is divided into blocks, and the temperature field of the inner and outer surfaces of the high-temperature superconducting magnet is calculated. The highest temperature and the maximum critical temperature of the inner and outer surfaces of the high-temperature superconducting magnet are obtained. The critical heat loss value for quenching of a high-temperature superconducting magnet is calculated based on the highest temperature and the maximum critical temperature of the inner and outer surfaces of the magnet.
[0019] In one specific embodiment of this application, it further includes: Based on Ansys, the high-temperature superconducting magnet is divided into blocks, and model parameters are set according to the material settings of the high-temperature superconducting magnet cooling system. These model parameters include density, specific heat capacity, thermal conductivity, and coefficient of thermal expansion. Boundary conditions for the high-temperature superconducting magnet are set, along with initial temperature and phase distributions. Boundary conditions include temperature and heat flux. The high-temperature superconducting magnet is calculated using several preset heat transfer models and solution methods to obtain the internal phase distribution field. The preset heat transfer models include heat conduction, convection, and radiation models, and the solution methods include steady-state and transient solutions. In one specific embodiment of this application, a control strategy for cooling the high-temperature superconducting magnet is generated based on the static operating point of the superconducting magnet cooling system under different conditions and comparison results. This includes: adjusting the flow rate and temperature of liquid helium in real time based on the static operating point of the superconducting magnet cooling system under different conditions and comparison results. In another specific embodiment of this application, the pressure and liquid level of the liquid helium container are also adjusted in real time based on the static operating point of the superconducting magnet cooling system under different conditions and comparison results. In one specific embodiment of this application, the method further includes: adjusting the fin spacing of the finned heat exchanger based on the static operating point of the superconducting magnet cooling system under different conditions and the comparison results.
[0020] In summary, this invention analyzes the heat exchange mode and transfer direction of the cooling system under normal operating conditions. Based on the pressure, temperature, and liquid level data curves obtained during trial operation after the superconducting magnet is energized, it optimizes the various physical parameters required for the stable operation of the superconducting magnet cooling system. Furthermore, it analyzes the internal temperature field and phase distribution field of the cooling system using heat leakage and finite element simulation, providing a basis for strategic parameters for cooling control. This invention offers advantages such as high efficiency, stability, and safety.
[0021] Those skilled in the art will understand that embodiments of this application can be provided as methods, systems, or computer program goods. Therefore, this application can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, this application can take the form of a computer program goods embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.
[0022] This application is described with reference to flowchart illustrations and / or block diagrams of methods, apparatus (systems), and computer program goods according to embodiments of this application. It will be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, special-purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, generate instructions for implementing the flowchart... Figure 1 One or more processes and / or boxes Figure 1 A device that provides the functions specified in one or more boxes.
[0023] These computer program instructions may also be stored in a computer-readable storage medium that can direct a computer or other programmable data processing device to function in a particular manner, such that the instructions stored in the computer-readable storage medium produce an article of manufacture including instruction means, which are implemented in a process Figure 1 One or more processes and / or boxes Figure 1 The function specified in one or more boxes.
[0024] These computer program instructions may also be loaded onto a computer or other programmable data processing equipment to cause a series of operational steps to be performed on the computer or other programmable equipment to produce a computer-implemented process, thereby providing instructions that execute on the computer or other programmable equipment for implementing the process. Figure 1 One or more processes and / or boxes Figure 1 The steps of the function specified in one or more boxes.
[0025] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and not to limit it. Although the present invention has been described in detail with reference to the above embodiments, those skilled in the art should understand that modifications or equivalent substitutions can still be made to the specific implementation of the present invention. Any modifications or equivalent substitutions that do not depart from the spirit and scope of the present invention should be covered within the scope of protection of the claims of the present invention.
Claims
1. A control method for accelerating the cooling of conductive high-temperature superconducting magnets, applied in a superconducting magnet cooling system, characterized in that, The superconducting magnet cooling system includes: GM refrigeration units; A finned heat exchanger, wherein the finned heat exchanger is connected to the GM refrigerator; A liquid helium container, wherein the liquid helium container is connected to the finned heat exchanger; The method includes: The heat exchange mode and transfer direction of the superconducting magnet cooling system under working conditions are obtained, and the pressure data curve, temperature data curve and liquid level data curve of the high-temperature superconducting magnet during operation after excitation are obtained. The static operating characteristics of the superconducting magnet cooling system are obtained based on the pressure data curve, the temperature data curve, and the liquid level data curve, along with the heat leakage of the superconducting magnet cooling system, and the static operating points of the superconducting magnet cooling system under different conditions are obtained. The internal temperature field and phase distribution field of the superconducting magnet cooling system were analyzed by finite element simulation, and the comparison results were obtained by comparing the heat transfer efficiency of the finned heat exchanger with the fin spacing. Based on the static operating point of the superconducting magnet cooling system under different conditions and the comparison results, a control strategy for cooling the high-temperature superconducting magnet is generated.
2. The control method for accelerating the cooling of a conductive high-temperature superconducting magnet according to claim 1, characterized in that, Obtain pressure data curves of a high-temperature superconducting magnet during operation after excitation, including: The heat leakage p of the superconducting magnet cooling system and the surface temperature T of the finned heat exchanger are obtained. Define an initial value T0 for the saturation temperature of helium, and calculate the saturation density of liquid helium and the saturation density of helium gas based on the initial value T0. Based on the heat leakage p of the superconducting magnet cooling system and the saturation densities of the liquid helium and the helium gas, the saturation temperature T1 of the helium gas is calculated using a preset heat transfer condensation equation. Calculate the absolute value i of the difference between the saturation temperature T1 and the initial saturation temperature T0 of the helium gas, and calculate the saturation pressure of the helium gas at saturation based on the relationship between the absolute value i and a preset standard value k; wherein, When i < k, calculate the saturation pressure of the helium gas at saturation and output the calculation result; When i≥k, the saturation temperature T1 of the helium is taken as the initial value of the saturation temperature of the helium, and the saturation density of liquid helium and the helium are calculated based on the saturation temperature T1 of the helium. The pressure data curve is generated based on the saturation pressure of the helium gas.
3. The control method for accelerating the cooling of a conductive high-temperature superconducting magnet according to claim 2, characterized in that, The saturation temperature T1 of the helium gas is calculated using a preset heat transfer condensation equation, including: The saturation temperature T1 of the helium gas is calculated using the following formula: ； In the formula, q c This refers to the power of the GM chiller. T is the total condensation heat transfer coefficient, A is the total heat transfer area of the finned heat exchanger, and T is the total condensation heat transfer coefficient. sat T is the saturation temperature of helium. s This refers to the fin wall temperature.
4. The control method for accelerating the cooling of a conductive high-temperature superconducting magnet according to claim 3, characterized in that, After obtaining the static operating characteristics of the superconducting magnet cooling system based on the pressure data curve, the temperature data curve, and the liquid level data curve, and the heat leakage of the superconducting magnet cooling system, and obtaining the static operating point of the superconducting magnet cooling system under different conditions, the method further includes: During the heat exchange process between the finned heat exchanger and the liquid helium, when the heat flow rate per unit area of the finned heat exchanger is greater than 0.1 W / m² 2 At that time, the size of the boiling bubbles is obtained, and a mapping model of the relationship between the size of the bubbles and the temperature of the liquid helium during the boiling process is established; The dynamic operating characteristics of the superconducting magnet cooling system are obtained based on the temperature relationship mapping model, and the dynamic operating points of the superconducting magnet cooling system under different conditions are obtained.
5. The control method for accelerating the cooling of a conductive high-temperature superconducting magnet according to claim 4, characterized in that, Also includes: Based on the dynamic operating characteristics of the superconducting magnet cooling system and the dynamic operating point of the superconducting magnet cooling system under different conditions, the static operating characteristics of the superconducting magnet cooling system and the static operating point of the superconducting magnet cooling system under different conditions are corrected. The pressure change curve of the superconducting magnet cooling system under a step change of heat leakage of 0.1W is calculated, and the pressure data curve is corrected based on the pressure change curve.
6. The control method for accelerating the cooling of a conductive high-temperature superconducting magnet according to claim 5, characterized in that, The internal temperature field and phase distribution field of the superconducting magnet cooling system were analyzed through finite element simulation. Comparison results were obtained based on the relationship between the heat transfer efficiency of the finned heat exchanger and the fin spacing, including: Based on Ansys, the high-temperature superconducting magnet is divided into blocks, and the temperature field of the inner and outer surfaces of the high-temperature superconducting magnet is calculated. The highest temperature and the maximum critical temperature of the inner and outer surfaces of the high-temperature superconducting magnet are obtained. The critical heat loss value for the high-temperature superconducting magnet to lose quench is calculated based on the highest temperature and the maximum critical temperature of the inner and outer surfaces of the magnet.
7. The control method for accelerating the cooling of a conductive high-temperature superconducting magnet according to claim 6, characterized in that, Also includes: The high-temperature superconducting magnet is divided into blocks based on Ansys, and model parameters are set according to the material of the cooling system of the high-temperature superconducting magnet. The model parameters include density, specific heat capacity, thermal conductivity, and coefficient of thermal expansion. The boundary conditions of the high-temperature superconducting magnet are set, and the initial temperature distribution and phase distribution of the high-temperature superconducting magnet are set. The boundary conditions include temperature and heat flux. The high-temperature superconducting magnet was calculated based on several preset heat transfer models and solution methods, and the phase distribution field inside the high-temperature superconducting magnet was obtained; wherein, The preset heat transfer model includes a heat conduction model, a convection model, and a radiation model, and the solution method includes steady-state solution and transient solution.
8. The control method for accelerating the cooling of a conductive high-temperature superconducting magnet according to claim 7, characterized in that, Based on the static operating point of the superconducting magnet cooling system under different conditions and the comparison results, a control strategy for cooling the high-temperature superconducting magnet is generated, including: Based on the static operating point of the superconducting magnet cooling system under different conditions and the comparison results, the flow rate and temperature of the liquid helium are adjusted in real time.
9. The control method for accelerating the cooling of a conductive high-temperature superconducting magnet according to claim 8, characterized in that, Also includes: Based on the static operating point of the superconducting magnet cooling system under different conditions and the comparison results, the pressure and liquid level of the liquid helium container are adjusted in real time.
10. The control method for accelerating the cooling of a conductive high-temperature superconducting magnet according to claim 9, characterized in that, Also includes: Based on the static operating point of the superconducting magnet cooling system under different conditions and the comparison results, the fin spacing of the finned heat exchanger is adjusted.