Advance in Research on Thermal Insulation Performance of Multilayer Insulation Materials for Cryogenic Vessels

被引:0
|
作者
Ma X. [1 ]
Chen S. [1 ]
Jin S. [1 ]
Zhu M. [2 ]
Wang Y. [3 ]
Xiong Z. [3 ]
Wu H. [3 ]
Yu Y. [4 ]
Wang X. [1 ]
机构
[1] School of Petrochemical Engineering, Lanzhou University of Technology, Lanzhou
[2] China Special Equipment Inspection and Research Institute, Beijing
[3] CRRC Yangtez Co.,Ltd., Wuhan
[4] State Key Laboratory of Multiphase Flow in Power Engineering, Xi’an Jiaotong University, Xi’an
来源
Cailiao Daobao/Materials Reports | 2024年 / 38卷 / 01期
关键词
cryogenic vessel; multilayer insulation material; thermal insulation performance; vacuum failure; vacuum maintenance; variable density;
D O I
10.11896/cldb.22050027
中图分类号
学科分类号
摘要
The thermal insulation performance of multilayer insulation materials widely employed in cryogenic vessels is an essential index used to deter- mine their applicability. Under vacuum maintenance,the factors affecting the thermal insulation performance of multilayer insulation materials include vacuum pressure of annular space,variety and model of the materials used,layer number,layer density,uniform or variable density multilayer insulation,and material coating process. Under vacuum failure,the gas pressure of annular space,breaking gas type,and insulation structure parameters affect the thermal insulation performance of multilayer insulation materials. The prediction formulas of the thermal insulation performance of multilayer insulation materials are summed up. The Lockheed model is used to predict the thermal insulation performance of multilayer insulation materials under different boundary temperatures and total layers,obtaining the optimal layer densities and minimum heat fluxes. Under the condition of a certain and unchanged number of total layers,the Layer-by-layer model is used to predict the thermal insulation performance of uniform and variable density multilayer insulation with various layout schemes,obtaining two pragmatic layout schemes of variable density multilayer insulation on analysis. © 2024 Cailiao Daobaoshe/ Materials Review. All rights reserved.
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