Rule-Based Mamdani-Type Fuzzy Modeling of Heating and Cooling Performances of Counter Flow Ranque-Hilsch Vortex Tubes with Different Geometric Construction for Brass

Article Preview

Abstract:

In this study, thermal performances of counter flow Ranque-Hilsch vortex tubes were experimentally investigated and modeled with a Rule Based Mamdani-Type Fuzzy (RBMTF) modeling technique. The vortex tubes were made of brass. Diameter of vortex tube (D) was 10 mm. Length of vortex tube (L) was 10D, 11D, 12D, 13D, 14D. Input parameters (ξ, L/D) and output parameters (ΔTh, ΔTc) were described by RBMTF if-then rules. 45 experimental data sets were used in the training step. R2 for the ΔTh was found to be 99.42 % and R2 for the ΔTc was 99.66 %. The actual values and RBMTF results demonstrated that RBMTF can be successfully used for the determination of heating and cooling performances of counter flow RHVT with different geometric constructions for brass.

You might also be interested in these eBooks

Info:

Periodical:

Pages:

346-349

Citation:

Online since:

August 2013

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2013 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

[1] S. Eiamsa-Ard and P. Promvonge, Numerical Investigation of the Thermal Separation in Ranque–Hilsch Vortex Tube, Int. J. Heat Mass Transfer. 50 (2007) 821-832.

DOI: 10.1016/j.ijheatmasstransfer.2006.08.018

Google Scholar

[2] K. Dincer, S. Tasdemir, S. Baskaya, I. Ucgul, B.Z. Uysal, Fuzzy Modeling of Performance of Counterflow Ranque-Hilsch Vortex Tubes With Different Geometric Constructions. Numerical Heat Transfer, Part B. 54 (2008) 499-517.

DOI: 10.1080/10407790802483432

Google Scholar

[3] M. Tosun, K. Dincer, S. Baskaya, Rule-based Mamdani-Type Fuzzy Modelling of Thermal Performance of Multi-Layer Precast Concrete Panels Used in Residential Buildings in Turkey, Expert Systems with Applications. 38 (2011) 5553-5560.

DOI: 10.1016/j.eswa.2010.10.081

Google Scholar

[4] A. Sözen and E. Arcaklioglu, Exergy Analysis of an Ejector-Absorption Heat Transformer Using Artificial Neural Network Approach. Applied Thermal Engineering. 27 (2007) 481-491.

DOI: 10.1016/j.applthermaleng.2006.06.012

Google Scholar