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作 者:胡应璇 李国良 黄雯琳 张俊佩 童欣 邱利民[1] 包士然[1] HU Yingxuan;LI Guoliang;HUANG Wenlin;ZHANG Junpei;TONG Xin;QIU Limin;BAO Shiran(Institute of Refrigeration and Cryogenics,Zhejiang University,Hangzhou 310027,China;Institute of High Energy Physics,Chinese Academy of Sciences,Beijing 100049,China)
机构地区:[1]浙江大学制冷与低温研究所,浙江杭州310027 [2]中国科学院高能物理研究所,北京100049
出 处:《浙江大学学报(工学版)》2025年第4期853-862,共10页Journal of Zhejiang University:Engineering Science
基 金:国家自然科学基金资助项目(52206028).
摘 要:流场可视化是非接触式、全局高精度的新兴测量技术,测得的精细超流氦流场与传热信息能够为超导大科学装置的冷却系统设计提供数据和关联式支撑.超流氦具有量子特性,示踪物与量子涡旋的相互作用程度显著影响流场可视化测量的准确性.基于不同示踪物,深入讨论电子气泡法、微粒示踪法和分子示踪法3种主要的流场可视化方法涉及的关键技术,包括依据实验目的选择示踪物、搭建合适的光路和进行数据后处理.Flow visualization is a novel measurement technique that is non-intrusive and highly precise.The application of the technique provides detailed insights into the flow and heat transfer of superfluid helium,thereby supporting the design of cooling systems in large superconducting installations.The interactions between tracers and quantum vortices significantly affect the measurement accuracy of flow visualization.The flow fields have been visualized using three primary methods based on tracer selection:electron bubble,particle tracing,and molecular tracing methods.Key technologies involved in these methods were studied,including the selection of tracers according to experimental goals,the establishment of suitable optical paths,and data post-processing.
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