Startseite Technik Experimental design of counter-flow vortex tubes with varying diameters for multi-nozzle at high-pressure applications using the Taguchi method
Artikel
Lizenziert
Nicht lizenziert Erfordert eine Authentifizierung

Experimental design of counter-flow vortex tubes with varying diameters for multi-nozzle at high-pressure applications using the Taguchi method

  • Raman Vilhekar und Sukanta Roga ORCID logo EMAIL logo
Veröffentlicht/Copyright: 29. Dezember 2025
Veröffentlichen auch Sie bei De Gruyter Brill

Abstract

This study investigates the impacts of nozzle number, orifice diameter, vortex tube diameter, cold end temperature, cold mass fraction, and inlet air pressure using experimental analysis and Taguchi methods. In contrast, the current study conducts eight trials to examine the chosen output response. Furthermore, 2ˆ3 trials are needed because there are three impacts of those parameter components and two levels for each factor. Based on the specifications, the L8 (2ˆ3) orthogonal array with two levels each is chosen. The significance levels and control elements for a single- and a double-nozzle are contrasted. To determine the response values for each of the eight run conditions, several experiments are conducted. For a single nozzle, maximum efficiency is found at 7 bar. For trial 2, a cold mass fraction of 0.37 yields an efficiency of 24.74 %. For the double nozzle, the optimal conditions for maximum cooling performance and COP are 8 bar pressure, 0.38 cold mass fraction, and 35 °C cold end temperature. The analysis is used to create graphs, regression equations, and analysis of variance (ANOVA) tables.


Corresponding author: Sukanta Roga, Department of Mechanical Engineering, Visvesvaraya National Institute of Technology, Nagpur, 440010, India, E-mail:

Acknowledgement

The author expresses his sincere gratitude to the Visvesvaraya National Institute of Technology, Nagpur.

  1. Research ethics: Not applicable. This study does not involve human participants or animals.

  2. Author contributions: The authors have accepted equal responsibilities for the entire content of this manuscript and approved its submission.

  3. Use of Large Language Models, AI and Machine Learning Tools: No AI or Machine Learning tools were used for data generation, analysis, interpretation, or drawing scientific conclusions. The authors take full responsibility for the content of the manuscript.

  4. Conflict of interest: The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

  5. Research funding: This research did not receive any specific grant from funding agencies in the public, commercial, or not-for-profit sectors.

  6. Data availability: Not applicable.

  7. Consent for publication: Not applicable. This manuscript does not contain any individual person’s data in any form (including individual details, images, or videos).

Nomenclature

Abbreviation

RHVT

Ranque-Hilsch vortex tube

VT

Vortex tube

FRL

Filter, regulator, lubricator

DOE

Design of experiments

S/N

Signal-to-Noise ratio

OA

Orthogonal array

ANOVA

Analysis of Variance

COP

Coefficient of Performance

L/D

Length-to-diameter ratio

TAE

Thermoacoustic engine

TAR

Thermoacoustic refrigerator

Symbol

L

Length of vortex tube

D

Diameter of vortex tube

L/D

Length-to-diameter ratio

D c

Cold end orifice diameter

D n

Inlet nozzle diameter

N

Number of inlet nozzles

θ

Cone angle of hot valve (°)

P in

Inlet air pressure (bar)

T in

Inlet air temperature (°C)

T c

Temperature at cold end (°C)

T h

Temperature at hot end (°C)

ΔT c

Cold temperature drop = Tin−Tc (°C)

ΔT h

Hot temperature rise = Th−Tin (°C)

m˙ c

Mass flow rate at cold end (kg/s)

m˙ t

Total inlet mass flow rate (kg/s)

μ

Dynamic viscosity (Pa·s)

γ

Specific heat ratio (Cp/Cv)

R

Universal gas constant (J/kg·K)

η

Isentropic Efficiency (%)

Q c

Cooling capacity (W)

ϕ

Cold mass fraction = m˙c/m˙t

ψ h

Dimensionless pressure drop parameter (hot end)

η 1

Optimized efficiency indicator

References

1. Rattanongphisat, W, Jansawang, S. An experimental investigation on the effects of the vortex tube material, swirl generator material and the tube length to diameter ratio on vortex tube performance. Int J Refrig 2024;165:122–32. https://doi.org/10.1016/j.ijrefrig.2024.05.011.Suche in Google Scholar

2. Yilmaz, M, Kaya, M, Karagoz, S, Erdogan, S. A review of design criteria for vortex tubes. Heat Mass Tran 2009;45:613–32. https://doi.org/10.1007/s00231-008-0447-8.Suche in Google Scholar

3. Xue, Y, Arjomandi, KR. A critical review of temperature separation in a vortex tube. Exp Therm Fluid Sci 2010;34:1367–74. https://doi.org/10.1016/j.expthermflusci.2010.06.010.Suche in Google Scholar

4. Lewins, J, Bejan, A. Vortex tube optimization theory. Energy 1999;24:931–43. https://doi.org/10.1016/S0360-5442(99)00039-0.Suche in Google Scholar

5. Ciftci, I, Gökçe, H. Optimization of cutting tool and cutting parameters in machining of molybdenum alloys through the taguchi method. J Facul Eng Architec Gazi Univer 2019;34:201–13. https://doi.org/10.17341/gazimmfd.416482.Suche in Google Scholar

6. Polat, K, Kırmacı, V. Application of the output dependent feature scaling in modeling and prediction of performance of counter flow vortex tube having various nozzle numbers at different inlet pressures of air, oxygen, nitrogen, and argon. Int J Refrig 2011;34:1387–97. https://doi.org/10.1016/j.ijrefrig.2011.03.019.Suche in Google Scholar

7. Valipour, MS, Niazi, N. Experimental modelling of a curved Ranque-Hilsch vortex tube refrigerator. Int J Refrig 2011;34:1109–16. https://doi.org/10.1016/j.ijrefrig.2011.02.013.Suche in Google Scholar

8. Piralishvili, SA, Fuzeeva, AA. Similarity of the energy-separation process in vortex ranque tubes. J Eng Phys Thermophys 2006;79:27–32. https://doi.org/10.1007/s10891-006-0062-9.Suche in Google Scholar

9. Agrawal, N, Naik, SS, Gawale, YP. Experimental investigation of vortex tube using natural substances. Int Commun Heat Mass Tran 2014;52:51–5. https://doi.org/10.1016/j.icheatmasstransfer.2014.01.009.Suche in Google Scholar

10. Pinar, AM, Uluer, O, Kirmaci, V. Optimization of counter flow Ranque–Hilsch vortex tube performance using Taguchi method. Int J Refrig 2009;32:1487–94. https://doi.org/10.1016/j.ijrefrig.2009.02.018.Suche in Google Scholar

11. Deissler, RG, Perlmutter, M. Analysis of the flow and energy separation in a turbulent vortex. Int J Heat Mass Tran 1960;1:173–91. https://doi.org/10.1016/0017-9310(60)90021-1.Suche in Google Scholar

12. Eiamsa-ard, S, Promvonge, P. Numerical prediction of vortex flow and thermal separation in a subsonic vortex tube. J Zhejiang Univ - Sci 2006;7:1406–15. https://doi.org/10.1631/jzus.2006.A1406.Suche in Google Scholar

13. Aljuwayhel, NF, Nellis, GF, Klein, SA. Parametric and internal study of the vortex tube using a CFD model. Int J Refrig 2005;28:442–50. https://doi.org/10.1016/j.ijrefrig.2004.04.004.Suche in Google Scholar

14. Eiamsa-ard, S, Wongcharee, K, Promvonge, P. Experimental investigation on energy separation in a counter-flow Ranque–Hilsch vortex tube: effect of cooling a hot tube. Int Commun Heat Mass Tran 2010;37:156–62. https://doi.org/10.1016/j.icheatmasstransfer.2009.09.013.Suche in Google Scholar

15. Djoudar, B, Chashechkin, YD, Ilinykh, AY. Formation of a floating-up vortex during the merging of an ethanol droplet with water in the intrusive mode. Fluid Dynam 2024;59:1529–39. https://doi.org/10.1134/S0015462824604200.Suche in Google Scholar

16. Isaev, SA, Popov, IA, Nikushchenko, DV, Sudakov, AG, Klyus, AA, Mironov, AA, et al.. Enhancement of separation flow and heat transfer in a boomerang-type groove on the channel wall. Fluid Dynam 2025;60:5. https://doi.org/10.1134/S0015462824604662.Suche in Google Scholar

17. Gaifullin, AM. Plane vortex flows of an incompressible fluid. Fluid Dynam 2023;58:1–34. https://doi.org/10.1134/S0015462823600219.Suche in Google Scholar

18. Isaev, SA, Sapozhnikov, SZ, Nikushchenko, DV, Mityakov, VY, Seroshtanov, VV, Dubko, EB, et al.. Anomalous enhancement of vortex heat transfer in the case of separated air flow over an inclined groove in a heated isothermal region of a flat plate. Fluid Dynam 2024;59:49–59. https://doi.org/10.1134/S0015462823602310.Suche in Google Scholar

19. Kabardin, IK, Yavorsky, NI, Pravdina, MK, Gordienko, MR, Kakaulin, SV, Zubanov, KS, et al.. LDA-based experimental investigation of velocity pulsations in the vortex tube. J Eng Thermophys 2024;33:478–84. https://doi.org/10.1134/S1810232824030032.Suche in Google Scholar

20. Potapov, IA, Kositsyn, AV. Method of determining the parameters of a vortex tube to cool aircraft equipment. J Eng Phys Thermophys 2024;97:204–12. https://doi.org/10.1007/s10891-024-02884-4.Suche in Google Scholar

21. Levitsky, I. Study of vortex throttle characteristics with adjustable resistance by rotation of the vortex chamber inlet channel. Int J Turbo Jet Engines 2025;42:181–93. https://doi.org/10.1515/tjj-2024-0048.Suche in Google Scholar

22. Verma, JB, Agrawal, M, Joshi, GN, Chandel, S, Prakash, V, Mishra, RK, et al.. CFD analysis of flow control in compressor cascade using MVGs. Int J Turbo Jet Engines 2024;40:507–15. https://doi.org/10.1515/tjj-2022-0046.Suche in Google Scholar

23. Srivastava, R, Patel, VK. Effect of preheated swirling multi-annular jets on mixing and flow characteristics in various expanded confinements. Int J Turbo Jet Engines 2025;42:707–20. https://doi.org/10.1515/tjj-2025-0009.Suche in Google Scholar

24. Kisku, V, Roga, S, Datta, S. PMSG-based wind energy conversion system with MPPT controlled boost converter. In: International conference on future technologies in manufacturing, automation, design and energy. Singapore: Springer Nature Singapore; 2020:803–13 pp.10.1007/978-981-99-1288-9_83Suche in Google Scholar

25. Roga, S. Performance analysis of a planar shaped strut injector based supersonic combustion chamber. Int J Turbo Jet Engines 2025;42:205–15. https://doi.org/10.1515/tjj-2024-0024.Suche in Google Scholar

26. Kengaiah, V, Kumar, SK, Chidambaram, S, Srinivasan, E, Ethirajan, R. Impact of annular ribs in sudden expansion flow conditions to control base pressure. Int J Turbo Jet Engines 2025;42:697–705. https://doi.org/10.1515/tjj-2024-0100.Suche in Google Scholar

27. Zhang, T, Li, Z, Li, H, Liu, B. Influence of non-axisymmetric endwall profiling under incoming vortex on the corner separation of a diffusion cascade. Int J Turbo Jet Engines 2025. https://doi.org/10.1515/tjj-2025-0020.Suche in Google Scholar

28. Roga, S, Anand, A, Jha, R, Sumithran, V. Recent advancements in scramjet combustor: technologies, fuel strategies, and performance challenges. Int J Turbo Jet Engines 2025. https://doi.org/10.1515/tjj-2025-0036.Suche in Google Scholar

29. Roga, S. CFD analysis of scramjet engine combustion chamber with alternating wedge-shaped strut injector at flight Mach 6.5. J Phys Conf 2019;1276:012038. https://doi.org/10.1088/11742-6596/1276/1/012038.Suche in Google Scholar

30. Roga, S, Pandey, KM. Computational analysis of hydrogen-fueled scramjet combustor using cavities in tandem flame holder. Appl Mech Mater 2015;772:130–5. https://doi.org/10.4028/www.scientific.net/amm.772.130.Suche in Google Scholar

31. Pandey, KM, Roga, S. CFD analysis of hypersonic combustion of H2-fueled scramjet combustor with cavity based fuel injector at flight mach 6. Appl Mech Mater 2014;656:53–63. https://doi.org/10.4028/www.scientific.net/AMM.656.53.Suche in Google Scholar

32. Roga, S, Dubey, SK. DMST approach for analysis of 2 and 3 bladed type darrieus vertical axis wind turbine. EAI Endorsed Trans. Energy Web 2021;8:e2. https://doi.org/10.4108/eai.27-10-2020.166771.Suche in Google Scholar

33. Roga, S, Pandey, KM. CFD analysis of supersonic combustion using diamond-shaped strut injector with K-ω non-premixed combustion model. Trans Control and Mech Syst. 2012;1:114–24.Suche in Google Scholar

34. Roga, S, Pandey, KM, Singh, AP. Computational analysis of supersonic combustion using wedge-shaped strut injector with turbulent non-premixed combustion model. Int J Soft Comput Eng 2012;2:344–53.Suche in Google Scholar

35. Roga, S. Enhancing fuel-air mixing and flame stability using double cavity with multiple struts scramjet propulsion. Int J Turbo Jet Engines 2025;42:901–16. https://doi.org/10.1515/tjj-2025-0066.Suche in Google Scholar

36. Roga, S, Wanmali, NK, Kisku, V, Datta, S. Development of pitch angle control algorithm for PMSG based wind energy conversion system. In: 2022 1st International conference on sustainable technology for power and energy systems (STPES), Organized by NIT Srinagar in collaboration with IIT Jammu. New York: IEEE; 2022:1–5 pp. In this issue.10.1109/STPES54845.2022.10006440Suche in Google Scholar

37. Roga, S, Dahiwale, H, Bardhan, S, Sinha, S. Wind energy potential assessment: a case study in central India. Proceed Insti Civil Engi-Energ 2023;177:130–48. https://doi.org/10.1680/jener.22.00016.Suche in Google Scholar

38. Roga, S, Lokesh, A, Jain, S, Vinay, AA, Chauhan, R, Karthik, C, et al.. Assessment of sessional solar energy using PVsyst and SAM. In: Renewable energy optimization, planning and control: proceedings of ICRTE 2022. Singapore: Springer Nature Singapore; 2023:103–10 pp.10.1007/978-981-19-8963-6_10Suche in Google Scholar

39. Roga, S, Sinha, S, Bairisetti, S, Bhavsar, P, Datta, S, Bardhan, S. Energy converters for wind turbines: implementation of control methods. In: 2022 IEEE international conference on power electronics, drives and energy systems (PEDES), hosted by Malaviya National Institute of Technology Jaipur. New York: IEEE; 2022:1–6 pp.10.1109/PEDES56012.2022.10080589Suche in Google Scholar

40. Roga, S. Modern rocket propulsion: a critical review of technological advances and ongoing challenges. Int J Chem React Eng 2025;23:1179–96. https://doi.org/10.1515/ijcre-2025-0127.Suche in Google Scholar

41. Kumar, Y, Roga, S. Impact of convex-side blade attachments on savonius vertical axis wind turbines performance at low wind speeds. Int J Turbo Jet Engines 2025. https://doi.org/10.1515/tjj-2025-0048.Suche in Google Scholar

42. Roga, S, Kale, C, Shaikh, M, Dhoot, S. Performance evaluation of a backward-facing H2-fueled supersonic combustion chamber with dual-strut injector: efficiency and shock wave analysis. Int J Chem React Eng 2025;23:1227–36. https://doi.org/10.1515/ijcre-2025-0130.Suche in Google Scholar

43. Vats, U, Roga, S, Sinha, A, Singh, AK, Dharua, SS, Shah, H, et al.. Design and performance analysis of heating, cooling and air quality in a sustainable building using equest. In: 2022 1st International conference on sustainable technology for power and energy systems (STPES), organized by NIT Srinagar in collaboration with IIT Jammu. New York City: IEEE; 2022:1–5 pp.10.1109/STPES54845.2022.10006467Suche in Google Scholar

44. Roga, S, Kisku, V, Datta, S. Performance of a vertical wind turbine with permanent magnet synchronous generator. Proceed insti civil engin-energ 2022;175:205–15. https://doi.org/10.1680/jener.21.00113.Suche in Google Scholar

45. Roga, S. Wind energy investigation of straight-bladed vertical axis wind turbine using computational analysis. EAI Endorsed Trans. Energy Web 2021;8:e5. https://doi.org/10.4108/eai.27-10-2020.166774.Suche in Google Scholar

46. Datta, S, Lalngaihawma, S, Singh, R, Deb, S, Devi, MS, Samanta, S, et al.. Performance analysis of a solar-battery-fuel cell based micro-grid system. In: 2022 IEEE 2nd International conference on sustainable energy and future electric transportation (SeFeT), hosted by Gokararaju Rangaraju Institute of Engineering & Technology, Hyderabad. New York City: IEEE; 2022:1–6 pp.10.1109/SeFeT55524.2022.9909296Suche in Google Scholar

47. Roga, S. Sessional solar energy assessment and economic feasibility analysis. In: International conference on power engineering and intelligent systems (PEIS). Singapore: Springer Nature Singapore; 2024:341–50 pp.10.1007/978-981-97-6714-4_28Suche in Google Scholar

48. Roga, S, Bardhan, S, Das, S, Uppara, A, Manikanta, SA. Solar irradiance forecasting using MATLAB platform. In: International conference on green energy and sustainable technology. Singapore: Springer Nature Singapore; 2023:163–71 pp.10.1007/978-981-96-1012-9_11Suche in Google Scholar

49. Roga, S. Modeling and simulation of domestic solar cooking. In: International conference on green energy and sustainable technology, organised by National Institute of Technology Kurukshetra. Singapore: Springer Nature Singapore; 2023:219–28 pp.10.1007/978-981-96-0861-4_15Suche in Google Scholar

Received: 2025-10-04
Accepted: 2025-12-03
Published Online: 2025-12-29

© 2025 Walter de Gruyter GmbH, Berlin/Boston

Heruntergeladen am 19.1.2026 von https://www.degruyterbrill.com/document/doi/10.1515/tjj-2025-0099/pdf?lang=de
Button zum nach oben scrollen