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MODELING OF EXERGY EFFICIENCY PERFORMANCES OF COUNTER FLOW RANQUE-HILSCH VORTEX TUBES WITH DIFFERENT GEOMETRIC CONSTRUCTIONS USING

A. Berber, Y. Yilmaz, K. Dincer, S. Baskaya

First published: 2012-06-18https://doi.org/10.5593/sgem2012/s18.v4014View metrics

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Title
MODELING OF EXERGY EFFICIENCY PERFORMANCES OF COUNTER FLOW RANQUE-HILSCH VORTEX TUBES WITH DIFFERENT GEOMETRIC CONSTRUCTIONS USING
Authors
A. Berber, Y. Yilmaz, K. Dincer, S. Baskaya
Proceedings
SGEM International Multidisciplinary Scientific GeoConference EXPO Proceedings; SGEM2012 12th International Multidisciplinary Scientific GeoConference
Publisher
Stef92 Technology
Year
2012
Pages
563 - 570 pp
ISSN
1314-2704
ISBN
Not available yet
Language
en
Publication type
Conference Paper
References18

  1. Pinar, A.M., Uluer, O., Kirmaci, V., Optimization of counter flow Ranque–Hilsch vortex tube performance using Taguchi method. International Journal of Refrigeration 32, 1487-1494, 2009.

  2. Ayd ın, O., Baki, M., An experimental study on the design parameters of a counterflow vortex tube. Energy, 31, 2763-2772, 2006.

  3. Dincer K.,Tasdemir S., Baskaya S., Uysal B.Z., Modeling of the effects of length to diameter ratio and nozzle number on the performance of counterflow Ranque-Hilsch vortex tubes using artificial neural networks. Applied Thermal Engineering, 28, 2380- 2390, 2008.

  4. Uluer O., Kirmaci V. Atas S., Using the artificial neural network model for modeling the performance of the counter flow vortex tube. Expert Systems with Applications 36, 12256-12263, 2009.

  5. Dincer, K. and Baskaya, S., Assessment of plug angle effect on exergy eff ıciency of counter-flow Ranque-Hilsch vortex tubes with the exergy analysis method. Journal of the Faculty of Engineering and Architecture of Gazi University, 24 (3), 533-538, 2009.

  6. Dincer, K., Avci, A., Baskaya, S., Berber , A., Experimental investigation and exergy analysis of the performance of a counter fl ow Ranque-Hilsch vortex tube with regard to nozzle cross-section areas. International Journal of Refrigeration 33 (5), 954-962, 2010.

  7. Dincer, K., Yilmaz, Y., Berber, A., Baskaya, S., Experimental investigation of performance of hot cascade type Ranque–H ilsch vortex tube and exergy analysis. International Journal of Refrigeration 34, 1117-1124, 2011.

  8. Tosun M and Dincer K. Modelling of a thermal insulation system based on the coldest temperature conditions by using ar tificial neural networks to determine performance of building for wall types in Turk ey. International Journal of Refrigeration 34,1, 362-373, 2011.

  9. Sözen, A., Arcaklio ğlu, E., Menlik, T., & Özalp, M., Determination of thermodynamic properties of an alternative refrigerant (R407c) using artificial neural network. Expert Systems with Applications, vol.36, 4346-4356, 2009. SGEM2012 - DOI: 10.5593/sgem2012 www.sgem.org

    View DOICrossrefGoogle ScholarWeb of ScienceScopusOpenCitations

  10. Pinar, A.M., Uluer, O., Kirmaci, V., Optimization of counter flow Ranque–Hilsch vortex tube performance using Taguchi method. International Journal of Refrigeration 32, 1487-1494, 2009.

  11. Ayd ın, O., Baki, M., An experimental study on the design parameters of a counterflow vortex tube. Energy, 31, 2763-2772, 2006.

  12. Dincer K.,Tasdemir S., Baskaya S., Uysal B.Z., Modeling of the effects of length to diameter ratio and nozzle number on the performance of counterflow Ranque-Hilsch vortex tubes using artificial neural networks. Applied Thermal Engineering, 28, 2380- 2390, 2008.

  13. Uluer O., Kirmaci V. Atas S., Using the artificial neural network model for modeling the performance of the counter flow vortex tube. Expert Systems with Applications 36, 12256-12263, 2009.

  14. Dincer, K. and Baskaya, S., Assessment of plug angle effect on exergy eff ıciency of counter-flow Ranque-Hilsch vortex tubes with the exergy analysis method. Journal of the Faculty of Engineering and Architecture of Gazi University, 24 (3), 533-538, 2009.

  15. Dincer, K., Avci, A., Baskaya, S., Berber , A., Experimental investigation and exergy analysis of the performance of a counter fl ow Ranque-Hilsch vortex tube with regard to nozzle cross-section areas. International Journal of Refrigeration 33 (5), 954-962, 2010.

  16. Dincer, K., Yilmaz, Y., Berber, A., Baskaya, S., Experimental investigation of performance of hot cascade type Ranque–H ilsch vortex tube and exergy analysis. International Journal of Refrigeration 34, 1117-1124, 2011.

  17. Tosun M and Dincer K. Modelling of a thermal insulation system based on the coldest temperature conditions by using ar tificial neural networks to determine performance of building for wall types in Turk ey. International Journal of Refrigeration 34,1, 362-373, 2011.

  18. Sözen, A., Arcaklio ğlu, E., Menlik, T., & Özalp, M., Determination of thermodynamic properties of an alternative refrigerant (R407c) using artificial neural network. Expert Systems with Applications, vol.36, 4346-4356, 2009. SGEM2012 - DOI: 10.5593/sgem2012 www.sgem.org

    View DOICrossrefGoogle ScholarWeb of ScienceScopusOpenCitations
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