超临界流体换热可视化实验研究进展

田冉; 叶小康; 沈俊; 魏名山; 史琳

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超临界流体换热可视化实验研究进展

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- 超临界流体换热可视化实验研究进展
- Progress in Visualization Experimental Studies on Heat Transfer of Supercritical Fluids
- 西安交通大学学报 2026年
- 作者机构：
  
  1.北京理工大学机械与车辆学院，100081，北京
  2.北京理工大学重庆创新中心，401135，重庆
  3.中国矿业大学（北京）机械与电气工程学院，100083，北京
  4.清华大学热科学与动力工程教育部重点实验室，100084，北京
- 作者简介：
- 基金信息：
- DOI：
  中图分类号： TK124
- 收稿：2025-10-12，
  
  修回：2026-02-27，
  
  录用：2026-03-02，
- 稿件说明：
移动端阅览
田冉, 叶小康, 沈俊, 等. 超临界流体换热可视化实验研究进展[J/OL]. 西安交通大学学报, 2026.

TIAN Ran, YE Xiaokang, SHEN Jun, et al. Progress in Visualization Experimental Studies on Heat Transfer of Supercritical Fluids[J/OL]. JOURNAL OF XI’AN JIAOTONG UNIVERSITY, 2026.
田冉, 叶小康, 沈俊, 等. 超临界流体换热可视化实验研究进展[J/OL]. 西安交通大学学报, 2026. DOI：

TIAN Ran, YE Xiaokang, SHEN Jun, et al. Progress in Visualization Experimental Studies on Heat Transfer of Supercritical Fluids[J/OL]. JOURNAL OF XI’AN JIAOTONG UNIVERSITY, 2026. DOI：

摘要

超临界流体在临界点附近物性剧烈变化，其流动与换热机理复杂，对能源、化工等领域的高效系统设计具有重要意义。本文系统综述了超临界流体对流换热可视化实验方法的研究进展，重点分析了粒子图像测速（PIV）、纹影法、激光多普勒测速（LDV）、干涉法、中子成像及非弹性X射线散射等技术的原理、应用与局限性。研究表明：中子成像/非弹性X射线散射等技术可捕捉超临界流体在拟临界区类液-类气态共存的多相特征；PIV与LDV能够提供高分辨率速度场，但在物性突变条件下受折射率畸变、示踪粒子跟随性差等因素制约，导致测量精度受限；纹影法可实现密度场、温度场的定性观测，与其他技术集成则有望实现速度场的定量测量；干涉法可获得高时空分辨率的局部温度与密度场定量数据，是研究超临界流体换热机理的有效手段。未来应发展高精度、抗干扰的可视化方法，结合深度学习提升图像畸变校正能力，推动多模式集成测试技术的创新，并加强实验与数值模拟的协同，以深入揭示超临界流动换热的内在机理。

Abstract

Near the critical point

supercritical fluids exhibit dramatic variations in physical properties

leading to complex flow and heat transfer behaviors essential for energy and chemical system design. This review systematically summarizes recent experimental advances in flow visualization for supercritical convective heat transfer

focusing on the principles

applications

and limitations of key techniques: particle image velocimetry (PIV)

schlieren imaging

laser Doppler velocimetry (LDV)

interferometry

neutron imaging

and inelastic X-ray scattering. Studies indicate that neutron imaging and inelastic X-ray scattering can capture multiphase-like features near the pseudo-critical region. While PIV and LDV offer high-resolution velocity data

their accuracy is limited under sharp property gradients due to refractive index distortions and poor tracer response. Schlieren imaging provides qualitative density and temperature field visualization

with potential for quantitative velocity measurements when combined with other methods. Interferometry enables quantitative

high spatiotemporal resolution measurements of local temperature and density

proving effective for probing heat transfer mechanisms. Future work should prioritize developing interference-resistant

high-precision visualization techniques

improving distortion correction via deep learning

advancing multimodal integration

and strengthening experiment–simulation synergies to elucidate fundamental supercritical flow and heat transfer mechanisms.

关键词

Keywords

references

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