Experimental study on composite insulation system of spray on foam insulation and variable density multilayer insulation

Zheng, Jiaping; Chen, Liubiao; Cui, Chen; Guo, Jia; Zhu, Wenxiu; Zhou, Yuan; Wang, Junjie

doi:10.1016/j.applthermaleng.2017.11.050

Cited by 47 publications

(2 citation statements)

References 10 publications

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“…Due to the larger preload at the internality of the MLI in the measurement, the internal layer density is higher, thus the solid thermal conduction is higher than that in the calculation. Past studies have shown that leakage of solid conduction and thermal radiation account for different share of total heat leakage [9]. The change of temperature has more influence on thermal radiation.…”

Section: Resultsmentioning

confidence: 99%

Numerical simulation and experimental investigation of the thermal insulation performance of multi-layer insulation material at 20-298 K

Zhao

Shen

et al. 2022

IOP Conf. Ser.: Mater. Sci. Eng.

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Thermal insulation plays a major role in the use of cryogenic systems. Due to its superior thermal insulation property, Multi-layer insulation materials (MLI) are widely used in various cryogenic systems, such as superconducting magnets, space propellant storage, satellites and so on. Thus, it is crucial to estimate and measure the insulation performance of it. This paper has carried out a numerical simulation of the performance of one kind of MLI through a modified Layer-by-Layer model. The thermal insulation propriety of the test specimen is also measured by a newly designed measurement system, which is based on the steady-state axial heat flux method. Finally, the simulation and test results are compared and discussed.

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Section: Resultsmentioning

confidence: 99%

Numerical simulation and experimental investigation of the thermal insulation performance of multi-layer insulation material at 20-298 K

Zhao

Shen

et al. 2022

IOP Conf. Ser.: Mater. Sci. Eng.

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show abstract

“…Cylindrical [5] 1270 230 <6.7 × 10 −3 Pa Cylindrical [6] 300 200 1 × 10 −5 Pa Cylindrical [7,8] 1000 167 <6.7 × 10 −3 Pa Cylindrical [9,10] 3050 3050 <1.33 × 10 −4 Pa Elliptical [11] 1.42 m 3 Spherical and cylindrical [12] 0.055 m 3 6 × 10 −4 Pa Due to the small volume and lower usage of MLIs, a small cryogenic container can be vacuumed more easily than a large one. Hence, the thermal insulation performance of MLIs in large cryogen containers is unsatisfactory, although it is excellent in small-scale experimental studies with a small calorimeter.…”

Section: Calorimeter Typementioning

confidence: 99%

Inversion of Interlayer Pressure in High-Vacuum Multilayer Insulation Structures for Cryogen Storage Using Extreme Learning Machine

Tan

2023

Applied Sciences

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Revealing the interlayer pressure distribution in multilayer insulation (MLI) for cryogen (e.g., liquid hydrogen) containers is very important to improve the insulation-performance-predicting quality. This paper proposed an inversion method to reconstruct the interlayer pressure of multilayer insulations on the basis of experimentally measuring the reflectors’ temperatures. The layer-by-layer (LBL) model was modified by considering the interlayer pressure distribution in MLIs to calculate the reflectors’ temperatures. Groups of pre-given interlayer pressure distributions and the corresponding temperature distributions calculated by the LBL model were used to train an extreme learning machine (ELM) algorithm. Finally, the interlayer pressure distribution of the MLI was reconstructed by the trained ELM algorithm based on the measured reflectors’ temperatures. The method was validated by four additional testing cases. The results showed that the proposed algorithm was accurate in reconstructing the interlayer pressures. Published experimentally measured temperature distributions of a 60-layer MLI were used as input data. The abovementioned inversion method was adopted, and a reasonable interlayer pressure distribution was obtained. Moreover, the thermal insulation performance of the MLI was calculated by the LBL model considering the reconstructed interlayer pressure distribution. We found that the predicted heat flux of the MLI deviated from the experimental results by only 2.77%, while the error of the classical LBL model ignoring the non-ideal vacuum condition was as high as 89%. Meanwhile, the predicted corresponding temperature distribution deviated from the tested value by less than 1.13 K. The proposed method can be applied to assess the interlayer pressure distribution of industrial cryogen containers and precisely predict the thermal insulation performance of a practical multilayer insulation structure.

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Experimental and Theoretical Study of Variable Density Multilayer Insulation (VDMLI) at Different Cold Boundary Temperatures

Xiao,

Liu,

Zhao

et al. 2023

Advanced Topics in Science and Technology in China

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Experimental study on composite insulation system of spray on foam insulation and variable density multilayer insulation

Cited by 47 publications

References 10 publications

Numerical simulation and experimental investigation of the thermal insulation performance of multi-layer insulation material at 20-298 K

Numerical simulation and experimental investigation of the thermal insulation performance of multi-layer insulation material at 20-298 K

Inversion of Interlayer Pressure in High-Vacuum Multilayer Insulation Structures for Cryogen Storage Using Extreme Learning Machine

Experimental and Theoretical Study of Variable Density Multilayer Insulation (VDMLI) at Different Cold Boundary Temperatures

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