Speaker
Description
Multi-Layer Insulation (MLI) is widely used in cryogenic systems to effectively suppress radiation due to temperature differences. In particular, MLI plays a crucial role in reducing cooling energy consumption and maintaining the thermal stability of superconducting coils in superconducting magnet systems. High-field superconducting magnets require cryogenic environments to sustain high current densities and magnetic fields, and minimizing external heat intrusion is a key challenge in ensuring the performance and efficiency of superconducting systems.
MLI is commonly used by stacking multiple layers to reduce radiation. However, when considering narrow gaps, such as between superconducting field coils and cryostats, various factors need to be considered in optimizing the stacking density of MLI. Excessive stacking density in narrow gaps can increase conduction heat transfer, potentially degrading the overall insulation performance. This suggests that the interaction between stacking density and heat transfer performance greatly influences MLI effectiveness.
In this study, we experimentally analyzed the effect of stacking density on thermal insulation performance, considering the narrow gap between the superconducting field coils and cryostats. A thermal conductivity measurement device equipped with a two-stage GM cryocooler was used to simulate the cryogenic environment, and the relationship between stacking density and heat transfer was quantitatively measured. The measured heat transfer was converted into effective emissivity for analysis, and the optimal stacking density for maximizing insulation performance in narrow gaps was experimentally determined.
This research provides crucial data for designing the optimal stacking density in narrow gaps between superconducting field coils and cryostats and accurately predicting radiation heat load. These findings can contribute to improving system stability and energy efficiency in high-field superconducting magnets and superconducting power systems.
Acknowledgement
This research was supported by National R&D Program through the National Research Foundation of Korea(NRF) funded by Ministry of Science and ICT(2022M3I9A1073187), (No.2019R1A5A8083201).
