Dergiler / International Journal of Thermodynamics / 2026 / Volume: 29 Issue: 3

CFD-Based Investigation of Internal Flow Structure and Geometric Optimization of a Supersonic Ejector

Volkan Tok(EGE ÜNİVERSİTESİ)
Özay Akdemir(EGE ÜNİVERSİTESİ)0000-0001-9024-4751
Sayfa
—
Yayın Tarihi
2026-09-01
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⚡ TL;DR(1 Cümlede Hızlı Çıkarım)

This study highlights the importance of linking performance to flow structure, providing a more physically grounded basis for ejector analysis and optimization.

📌 3 Maddede Bu Makale

🎯
Amaç & Hipotez:Supersonic ejectors are widely used in refrigeration systems due to their potential to improve system performance.
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Temel Bulgular & Veri:However, their performance is highly sensitive to geometric parameters, requiring both a comprehensive understanding of internal flow behavior and systematic investigation.
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Sonuç & Katkı:This study highlights the importance of linking performance to flow structure, providing a more physically grounded basis for ejector analysis and optimization.
🔬Tür:Modelleme & Sayısal Simülasyon
📍Kapsam:Genişletilmiş Akademik Örneklem
⚙️Değişkenler:Supersonic ejector · entrainment ratio · geometric optimization

Abstract

Supersonic ejectors are widely used in refrigeration systems due to their potential to improve system performance. However, their performance is highly sensitive to geometric parameters, requiring both a comprehensive understanding of internal flow behavior and systematic investigation. In this study, a CFD model validated against experimental data reported in the literature is used to investigate and optimize ejector performance under fixed operating conditions with particular attention to internal flow characteristics. The effects of key geometric parameters are analyzed using single-factor analysis, followed by a multi-factor analysis using an orthogonal test method. According to the CFD results, the optimized configuration increases the entrainment ratio from 0.442 to 0.526, representing an 18.8% improvement. The critical back pressure decreases from 217.2 to 206.2 kPa, corresponding to a 5.04% reduction, indicating a trade-off between entrainment performance and the stable operating range. This study highlights the importance of linking performance to flow structure, providing a more physically grounded basis for ejector analysis and optimization.

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Bu Makaleye Atıf Yap

Tok, V., Akdemir, Ö. (2026). CFD-Based Investigation of Internal Flow Structure and Geometric Optimization of a Supersonic Ejector. International Journal of Thermodynamics, Volume: 29 Issue: 3. https://doi.org/10.5541/ijot.1956546

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Kaynakça (32)

  1. J. M. Abdulateef, K. Sopian, M. A. Alghoul, and M. Y. Sulaiman, “Review on solar-driven ejector refrigeration technologies,” Renewable and Sustainable Energy Reviews, vol. 13, pp. 1338–1349, 2009, doi: 10.1016/j.rser.2008.08.012.
  2. S. Elbel and N. Lawrence, “Review of recent developments in advanced ejector technology,” International Journal of Refrigeration, vol. 62, pp. 1–18, Feb. 2016, doi: 10.1016/j.ijrefrig.2015.10.031.
  3. J. Sarkar, “Ejector enhanced vapor compression refrigeration and heat pump systems - A review,” Renewable and Sustainable Energy Reviews, vol. 16, pp. 6647–6659, Dec. 2012, doi: 10.1016/j.rser.2012.08.007.
  4. B. M. Tashtoush, M. A. Al-Nimr, and M. A. Khasawneh, “A comprehensive review of ejector design, performance, and applications,” Applied Energy, vol. 240, pp. 138–172, Apr. 2019, doi: 10.1016/j.apenergy.2019.01.185.
  5. T. Sriveerakul, S. Aphornratana, and K. Chunnanond, “Performance prediction of steam ejector using computational fluid dynamics: Part 1. Validation of the CFD results,” International Journal of Thermal Sciences, vol. 46, no. 8, pp. 812–822, Aug. 2007, doi: 10.1016/j.ijthermalsci.2006.10.014.
  6. A. Khalil, M. Fatouh, and E. Elgendy, “Ejector design and theoretical study of R134a ejector refrigeration cycle,” International Journal of Refrigeration, vol. 34, no. 7, pp. 1684–1698, Nov. 2011, doi: 10.1016/j.ijrefrig.2011.01.005.
  7. B. M. Tashtoush, M. A. Al-Nimr, and M. A. Khasawneh, “Investigation of the use of nano-refrigerants to enhance the performance of an ejector refrigeration system,” Appl. Energy, vol. 206, pp. 1446–1463, Nov. 2017, doi: 10.1016/j.apenergy.2017.09.117.
  8. R. Yapici, H. K. Ersoy, A. Aktoprakoǧlu, H. S. Halkaci, and O. Yiǧit, “Experimental determination of the optimum performance of ejector refrigeration system depending on ejector area ratio,” International Journal of Refrigeration, vol. 31, no. 7, pp. 1183–1189, Nov. 2008, doi: 10.1016/j.ijrefrig.2008.02.010.
  9. N. Ruangtrakoon, S. Aphornratana, and T. Sriveerakul, “Experimental studies of a steam jet refrigeration cycle: Effect of the primary nozzle geometries to system performance,” Exp. Therm. Fluid Sci., vol. 35, no. 4, pp. 676–683, May 2011, doi: 10.1016/j.expthermflusci.2011.01.001.
  10. J. García Del Valle, J. M. Saíz Jabardo, F. Castro Ruiz, and J. F. San José Alonso, “An experimental investigation of a R-134a ejector refrigeration system,” International Journal of Refrigeration, vol. 46, pp. 105–113, 2014, doi: 10.1016/j.ijrefrig.2014.05.028.
  11. Y. Zhu and P. Jiang, “Experimental and numerical investigation of the effect of shock wave characteristics on the ejector performance,” International Journal of Refrigeration, vol. 40, pp. 31–42, Apr. 2014, doi: 10.1016/j.ijrefrig.2013.11.008.
  12. M. K. Ji, T. Utomo, J. S. Woo, Y. H. Lee, H. M. Jeong, and H. S. Chung, “CFD investigation on the flow structure inside thermo vapor compressor,” Energy, vol. 35, no. 6, pp. 2694–2702, 2010, doi: 10.1016/j.energy.2009.12.002.
  13. J. Dong et al., “Numerical investigation on the influence of mixing chamber length on steam ejector performance,” Applied Thermal Engineering, vol. 174, Jun. 2020, Art. no. 115204, doi: 10.1016/j.applthermaleng.2020.115204.
  14. K. Zhang, X. Zhu, X. Ren, Q. Qiu, and S. Shen, “Numerical investigation on the effect of nozzle position for design of high performance ejector,” Appl. Therm. Eng., vol. 126, pp. 594–601, 2017, doi: 10.1016/j.applthermaleng.2017.07.085.
  15. N. Ruangtrakoon, T. Thongtip, S. Aphornratana, and T. Sriveerakul, “CFD simulation on the effect of primary nozzle geometries for a steam ejector in refrigeration cycle,” International Journal of Thermal Sciences, vol. 63, pp. 133–145, Jan. 2013, doi: 10.1016/j.ijthermalsci.2012.07.009.
  16. B. Zhang, X. Song, J. Lv, and J. Zuo, “Study on the key ejector structures of the waste heat-driven ejector air conditioning system with R236fa as working fluid,” Energy Build., vol. 49, pp. 209–215, Jun. 2012, doi: 10.1016/j.enbuild.2012.02.009.
  17. S. Varga, A. C. Oliveira, and B. Diaconu, “Influence of geometrical factors on steam ejector performance - A numerical assessment,” International Journal of Refrigeration, vol. 32, no. 7, pp. 1694–1701, Nov. 2009, doi: 10.1016/j.ijrefrig.2009.05.009.
  18. A. Hakkaki-Fard, Z. Aidoun, and M. Ouzzane, “A computational methodology for ejector design and performance maximisation,” Energy Convers. Manag., vol. 105, pp. 1291–1302, Nov. 2015, doi: 10.1016/j.enconman.2015.08.070.
  19. Y. Wu, H. Zhao, C. Zhang, L. Wang, and J. Han, “Optimization analysis of structure parameters of steam ejector based on CFD and orthogonal test,” Energy, vol. 151, pp. 79–93, May 2018, doi: 10.1016/j.energy.2018.03.041.
  20. W. Song, X. Shen, Y. Huang, P. Jiang, and Y. Zhu, “Fuel ejector design and optimization for solid oxide fuel cells using response surface methodology and multi-objective genetic algorithm,” Applied Thermal Engineering, vol. 232, Sep. 2023, Art. no. 121067, doi: 10.1016/j.applthermaleng.2023.121067
  21. H. Zhang, H. Zhao, X. Zhang, H. Zeng, and J. Deng, “Performance Improvement of Two-Phase Steam Ejector based on CFD Techniques, Response Surface Methodology and Genetic Algorithm,” Journal of Thermal Science, vol. 33, no. 2, pp. 675–695, Mar. 2024, doi: 10.1007/s11630-024-1923-2.
  22. M. Arabbeiki, M. Mansourkiaei, D. Ferrero, and M. Santarelli, “Numerical optimization of ejector for enhanced hydrogen recirculation in proton exchange membrane fuel cells,” J. Power Sources, vol. 641, Jun. 2025, doi: 10.1016/j.jpowsour.2025.236846.
  23. K. O. Shestopalov, B. J. Huang, V. O. Petrenko, and O. S. Volovyk, “Investigation of an experimental ejector refrigeration machine operating with refrigerant R245fa at design and off-design working conditions. Part 2. Theoretical and experimental results,” International Journal of Refrigeration, vol. 55, pp. 212–223, Jul. 2015, doi: 10.1016/j.ijrefrig.2015.02.004.
  24. K. Pianthong, W. Seehanam, M. Behnia, T. Sriveerakul, and S. Aphornratana, “Investigation and improvement of ejector refrigeration system using computational fluid dynamics technique,” Energy Convers. Manag., vol. 48, no. 9, pp. 2556–2564, Sep. 2007, doi: 10.1016/j.enconman.2007.03.021.
  25. N. Sharifi and M. Boroomand, “Thermodynamic evaluation of high compressible steam flow in vapor compression systems used in desalination processes,” Desalination Water Treat., vol. 54, no. 7, pp. 1782–1792, May 2015, doi: 10.1080/19443994.2014.890793.
  26. ANSYS, Inc., Ansys Fluent Theory Guide, Release 2021 R1, Canonsburg, PA, USA, Jul. 2021.
  27. S. Croquer, S. Poncet, and Z. Aidoun, “Turbulence modeling of a single-phase R134a supersonic ejector. Part 1: Numerical benchmark,” International Journal of Refrigeration, vol. 61, pp. 140–152, Jan. 2016, doi: 10.1016/j.ijrefrig.2015.07.030.
  28. Y. Bartosiewicz, Z. Aidoun, P. Desevaux, and Y. Mercadier, “CFD-Experiments Integration in the Evaluation of Six Turbulence Models for Supersonic Ejectors Modeling,” in Conference Proc. Integrating CFD and Experiments, Glasgow, UK, 2003.
  29. J. Gagan, K. Smierciew, D. Butrymowicz, and J. Karwacki, “Comparative study of turbulence models in application to gas ejectors,” International Journal of Thermal Sciences, vol. 78, pp. 9–15, Apr. 2014, doi: 10.1016/j.ijthermalsci.2013.11.009.
  30. J. García Del Valle, J. Sierra-Pallares, P. Garcia Carrascal, and F. Castro Ruiz, “An experimental and computational study of the flow pattern in a refrigerant ejector. Validation of turbulence models and real-gas effects,” Appl. Therm. Eng., vol. 89, pp. 795–811, 2015, doi: 10.1016/j.applthermaleng.2015.06.064.
  31. L. Wang, J. Yan, C. Wang, and X. Li, “Numerical study on optimization of ejector primary nozzle geometries,” International Journal of Refrigeration, vol. 76, pp. 219–229, Apr. 2017, doi: 10.1016/j.ijrefrig.2017.02.010.
  32. A. Hemidi, F. Henry, S. Leclaire, J. M. Seynhaeve, and Y. Bartosiewicz, “CFD analysis of a supersonic air ejector. Part I: Experimental validation of single-phase and two-phase operation,” Appl. Therm. Eng., vol. 29, no. 8–9, pp. 1523–1531, Jun. 2009, doi: 10.1016/j.applthermaleng.2008.07.003.