Capturing the Invisible Beauty: Schlieren Imaging Technology Reveals the Secrets of Gas Flow

Authors

  • Yuhong Li Singapore American School, Singapore, Singapore

DOI:

https://doi.org/10.62051/p1tzya86

Keywords:

Schlieren imaging; Air flow; Visualization.

Abstract

Schlieren imaging technology is a magical tool that can "see" air and temperature fluctuations. Schlieren imaging technology uses the refraction of light to convert tiny changes in fluid substances into visual images, making invisible physical phenomena intuitive and easy to understand. High-end Schlieren imaging systems offered by companies like Holmarc, are designed for advanced applications and come with sophisticated features. These systems can be quite expensive, often costing several thousand dollars, making them less accessible for educational institutions, hobbyists, or researchers with limited budgets. In this project, we designed and constructed an affordable custom Schlieren imaging system utilizing a concave mirror, a point light source, and a knife-edge filter. The system was used to investigate various thermal and aerodynamic phenomena by introducing different heat sources and airflow disruptions. Experiments using hot water, a hair dryer, and a candle flame produced distinct Schlieren patterns: the candle flame exhibited a well-defined transition from laminar to turbulent flow, the hair dryer demonstrated contrasting temperature fluctuations, and hot water vapor diffusion demonstrated clear turbulent thermal plume dynamics. These experiments highlight the system's capability to resolve complex relationships between airflow velocity and heat transfer. In the hair dryer experiment, the speed and temperature of the airflow were vividly captured in the images, helping us better understand the complex relationship between wind speed and heat conduction. One of the most striking results was the imaging of the candle flame. The Schlieren diagram not only revealed the shape of the flame but also visualized the surrounding heat flow dynamics and temperature gradients, illustrating the transition from laminar to turbulent flow. This project demonstrates the great potential of custom Schlieren imaging technology in thermal and fluid mechanics research, providing us with a new visual language to uncover the physical mysteries behind these seemingly ordinary phenomena by "seeing" temperature and airflow. This research has opened up an unprecedented perspective for dynamic monitoring of heat sources and analysis of air flow, and provides more possibilities for future scientific exploration.

Downloads

Download data is not yet available.

References

[1] Settles, G. S. (2001). Schlieren and Shadowgraph Techniques: Visualizing Phenomena in Transparent Media. Springer. DOI: https://doi.org/10.1007/978-3-642-56640-0

[2] Merzkirch, W. (1987). Flow Visualization. Academic Press. DOI: https://doi.org/10.1016/B978-0-08-050658-6.50007-2

[3] Raffel, M., Willert, C. E., Wereley, S. T., & Kompenhans, J. (2007). Particle Image Velocimetry: A Practical Guide. Springer. DOI: https://doi.org/10.1007/978-3-540-72308-0

[4] Hargather, M. J., & Settles, G. S. (2010). A comparison of three quantitative schlieren techniques. Optics and Lasers in Engineering, 49 (2), 174–179.

[5] Holmarc Opto-Mechatronics Ltd. (n.d.). Schlieren Imaging System with Independent Mounting. Holmarc Opto-Mechatronics Ltd. https://www.holmarc.com/schlieren_imaging_system_with_independent_mounting.php.

[6] S. Traldi, N. Gatti, and V. Colombo, "Schlieren imaging: A powerful tool for atmospheric plasma diagnostics," EPJ Techniques and Instrumentation, vol. 5, no. 1, pp. 1–16, 2018. DOI: https://doi.org/10.1140/epjti/s40485-018-0045-1

[7] Mazumdar, A. (2013). Principles and techniques of schlieren imaging systems.

[8] Heineck, J. T., Banks, D. W., Smith, N. T., Schairer, E. T., Bean, P. S., & Robillos, T. (2021). Background-oriented schlieren imaging of supersonic aircraft in flight. AIAA Journal, 59 (1), 11-21. DOI: https://doi.org/10.2514/1.J059495

[9] Willert, C. E., Mitchell, D. M., & Soria, J. (2012). An assessment of high-power light-emitting diodes for high frame rate schlieren imaging. Experiments in fluids, 53 (2), 413-421. DOI: https://doi.org/10.1007/s00348-012-1297-1

[10] Pandya, B. H., Settles, G. S., & Miller, J. D. (2003). Schlieren imaging of shock waves from a trumpet. The Journal of the Acoustical Society of America, 114 (6), 3363-3367. DOI: https://doi.org/10.1121/1.1628682

[11] Skeen, S. A., Manin, J., & Pickett, L. M. (2015). Simultaneous formaldehyde PLIF and high-speed schlieren imaging for ignition visualization in high-pressure spray flames. Proceedings of the Combustion Institute, 35 (3), 3167-3174. DOI: https://doi.org/10.1016/j.proci.2014.06.040

Downloads

Published

25-12-2025

How to Cite

Li, Y. (2025). Capturing the Invisible Beauty: Schlieren Imaging Technology Reveals the Secrets of Gas Flow. Transactions on Computer Science and Intelligent Systems Research, 11, 191-199. https://doi.org/10.62051/p1tzya86