每年出版 18 期
ISSN 打印: 1064-2285
ISSN 在线: 2162-6561
Indexed in
PERFORMANCE MODELING OF PARALLEL-CONNECTED RANQUE-HILSCH VORTEX TUBES USING A GENERALIZABLE AND ROBUST ANN
摘要
In this study, the performance pattern of air-driven two parallel-connected Ranque-Hilsch vortex tubes (RHVT) by using artificial neural network (ANN) is considered. Different parameters such as vortex tube inlet parameters, type of working fluid, nozzle material, and nozzle number affect the temperature separation in vortex tubes. In this context, overall temperature difference (ΔT), which is also known as the effectivity indicator of vortex tubes, was modeled according to the aforementioned parameters which were obtained from experiments. A novel framework is presented to make the ANN model generalizable and robust. The ΔT quantity was selected as an output parameter and obtained with the well-trained ANN structure according to nozzle material (thermal conductivity), nozzle number, and inlet pressure. The coefficient of determination (R2), post error ratio (C), and the mean absolute percentage error (MAPE) of the proposed ANN model have been calculated as 0.9878, 0.19, and 0.0671, respectively. To model an experimental process, shorten the time, and save costs, a decision-support system was designed with three types of input parameters that are heat transfer coefficient of nozzle material, inlet pressure, and nozzle number. Thus, the system easily calculating the ΔT value by the generalizable and robust ANN model, which is the first trial for a parallel-connected system allowing the decision-maker to use different parameter values and different materials, is constituted.
-
Attalla, M., Ahmed, H., Ahmed, M.S., and El-Wafa, A.A., Experimental Investigation for Thermal Performance of Series and Parallel Ranque-Hilsch Vortex Tube Systems, Appl. Therm. Eng., vol. 123, pp. 327-339, 2017. DOI: 10.1016/j.applther-maleng.2017.05.084.
-
Avci, M., The Effects of Nozzle Aspect Ratio and Nozzle Number on the Performance of the Ranque-Hilsch Vortex Tube, Appl. Therm. Eng., vol. 50, no. 1, pp. 302-308, 2013. DOI: 10.1016/j.applthermaleng.2012.06.048.
-
Avni Es, H., Kalender, F.Y., and Hamzajebi, C., Forecasting the Net Energy Demand of Turkey by Artificial Neural Networks, J. Fac. Eng. Architect. Gazi Univ., vol. 29, no. 3, 2014.
-
Bazgir, A., Heydari, A., and Nabhani, N., Investigation of the Thermal Separation in a Counter-Flow Ranque-Hilsch Vortex Tube with Regard to Different Fin Geometries Located inside the Cold-Tube Length, Int. Commun. Heat Mass Transf., vol. 108, p. 104273, 2019. DOI: 10.1016/j.icheatmasstransfer.2019.104273.
-
Bazgir, A., Nabhani, N., and Eiamsa-ard, S., Numerical Analysis of Flow and Thermal Patterns in a Double-Pipe Ranque-Hilsch Vortex Tube: Influence of Cooling a Hot-Tube, Appl. Therm. Eng., vol. 144, pp. 181-208, 2018. DOI: 10.1016/j. applthermaleng.2018.08.043.
-
Bovand, M., Valipour, M.S., Dincer, K., and Eiamsa-Ard, S., Application of Response Surface Methodology to Optimization of a Standard Ranque-Hilsch Vortex Tube Refrigerator, Appl. Therm. Eng., vol. 67, nos. 1-2, pp. 545-553, 2014. DOI: 10.1016/j.applthermaleng.2014.03.039.
-
Cebeci, I., Kirmaci, V., and Topcuoglu, U., The Effects of Orifice Nozzle Number and Nozzle Made of Polyamide Plastic and Aluminum with Different Inlet Pressures on Heating and Cooling Performance of Counter Flow Ranque-Hilsch Vortex Tubes: An Experimental Investigation, Int. J. Refrig., vol. 72, pp. 140-146, 2016. DOI: 10.1016/j.ijrefrig.2016.07.013.
-
Devade, K.D. and Pise, A.T., Exergy Analysis of a Counter Flow Ranque-Hilsch Vortex Tube for Different Cold Orifice Diameters, L/D Ratios and Exit Valve Angles, Heat Mass Transf., vol. 53, no. 6, pp. 2017-2029, 2017. DOI: 10.1007/s00231-016-1962-7.
-
Guo, X., Zhang, B., Liu, B., and Xu, X., A Critical Review on the Flow Structure Studies of Ranque-Hilsch Vortex Tubes, Int. J. Refrig., vol. 104, pp. 51-64, 2019. DOI: 10.1016/j.ijrefrig.2019.04.030.
-
Hamdan, M.O., Al-Omari, S.-A.B., and Oweimer, A.S., Experimental Study of Vortex Tube Energy Separation under Different Tube Design, Exp. Therm. Fluid Sci., vol. 91, pp. 306-311, 2018. DOI: 10.1016/j.expthermflusci.2017.10.034.
-
Hamzacebi, C. and Es, H.A., Forecasting the Annual Electricity Consumption of Turkey Using an Optimized Grey Model, Energy, vol. 70, pp. 165-171, 2014. DOI: 10.1016/j.energy.2014.03.105.
-
Hamzacebi, C., Es, H.A., and Qakmak, R., Forecasting of Turkey's Monthly Electricity Demand by Seasonal Artificial Neural Network, Neural Comput. Appl., vol. 31, no. 7, pp. 2217-2231, 2019. DOI: 10.1007/s00521-017-3183-5.
-
Jiang, Y., Yao, Y., Deng, S., and Ma, Z., Applying Grey Forecasting to Predicting the Operating Energy Performance of Air Cooled Water Chillers, Int. J. Refrig., vol. 27, no. 4, pp. 385-392, 2004. DOI: 10.1016/j.ijrefrig.2003.12.001.
-
Karthikeya Sharma, T., Amba Prasad Rao, G., and Madhu Murthy, K., Numerical Analysis of a Vortex Tube: A Review, Arch. Comput. Methods Eng., vol. 24, no. 2, pp. 251-280, 2017. DOI: 10.1007/s11831-016-9166-3.
-
Kaya, H., Uluer, O., Kocaoglu, E., and Kirmaci, V., Experimental Analysis of Cooling and Heating Performance of Serial and Parallel Connected Counter-Flow Ranque-Hilsch Vortex Tube Systems Using Carbon Dioxide as a Working Fluid, Int. J. Refrig., vol. 106, pp. 297-307, 2019. DOI: 10.1016/j.ijrefrig.2019.07.004.
-
Kirmaci, V. and Kaya, H., Effects of Working Fluid, Nozzle Number, Nozzle Material and Connection Type on Thermal Performance of a Ranque-Hilsch Vortex Tube: A Review, Int. J. Refrig., vol. 91, pp. 254-266, 2018. DOI: 10.1016/j.ijre-frig.2018.05.005.
-
Kirmaci, V. and Uluer, O., The Effects of Orifice Nozzle Number on Heating and Cooling Performance of Vortex Tubes: An Experimental Study, Instrument. Sci. Technol., vol. 36, no. 5, pp. 493-502, 2008. DOI: 10.1080/10739140802234923.
-
Kirmaci, V., Uluer, O., and Dincer, K., Exergy Analysis and Performance of a Counter Flow Vortex Tube: An Experimental Investigation with Various Nozzle Numbers at Different Inlet Pressures of Air, Oxygen, Nitrogen and Argon, J. Heat Transf., vol. 132, no. 12, pp. 1-7, 2010. DOI: 10.1115/1.4002284.
-
Korkmaz, M.E., Gumu^el, L., and Markal, B., Using Artificial Neural Network for Predicting Performance of the Ranque-Hilsch Vortex Tube, Int. J. Refrig., vol. 35, no. 6, pp. 1690-1696, 2012. DOI: 10.1016/j.ijrefrig.2012.04.013.
-
Li, N., Jiang, G., Fu, L., Tang, L., and Chen, G., Experimental Study of the Impacts of Cold Mass Fraction on Internal Parameters of a Vortex Tube, Int. J. Refrig., vol. 104, pp. 151-160, 2019. DOI: 10.1016/j.ijrefrig.2019.05.002.
-
Manimaran, R., Computational Analysis of Energy Separation in a Counter-Flow Vortex Tube Based on Inlet Shape and Aspect Ratio, Energy, vol. 107, pp. 17-28, 2016. DOI: 10.1016/j.energy.2016.04.005.
-
Markal, B., Aydin, O., and Avci, M., An Experimental Study on the Effect of the Valve Angle of Counter-Flow Ranque-Hilsch Vortex Tubes on Thermal Energy Separation, Exp. Therm. Fluid Sci., vol. 34, no. 7, pp. 966-971, 2010. DOI: 10.1016/j. expthermflusci.2010.02.013.
-
Matveev, K.I. and Leachman, J., Numerical Investigation of Vortex Tubes with Extended Vortex Chambers, Int. J. Refrig., vol. 108, pp. 145-153, 2019. DOI: 10.1016/j.ijrefrig.2019.08.030.
-
Moraveji, A. and Toghraie, D., Computational Fluid Dynamics Simulation of Heat Transfer and Fluid Flow Characteristics in a Vortex Tube by Considering the Various Parameters, Int. J. Heat Mass Transf., vol. 113, pp. 432-443, 2017. DOI: 10.1016/j.ijheatmasstransfer.2017.05.095.
-
Ozsahin, S., Optimization of Process Parameters in Oriented Strand Board Manufacturing with Artificial Neural Network Analysis, Eur. J. Wood Wood Prod., vol. 71, no. 6, pp. 769-777, 2013. DOI: 10.1007/s00107-013-0737-9.
-
Ozsahin, S. and Murat, M., Prediction of Equilibrium Moisture Content and Specific Gravity of Heat Treated Wood by Artificial Neural Networks, Eur. J. Wood Wood Prod., vol. 76, no. 2, pp. 563-572, 2018. DOI: 10.1007/s00107-017-1219-2.
-
Pinar, A.M., Uluer, O., and Kirmaci, V., Statistical Assessment of Counter-Flow Vortex Tube Performance for Different Nozzle Numbers, Cold Mass Fractions, and Inlet Pressures via Taguchi Method, Exp. Heat Transf., vol. 22, no. 4, pp. 271-282, 2009. DOI: 10.1080/08916150903099058.
-
Polat, K. and Kirmaci, V., Application of the Output Dependent Feature Scaling in Modeling and Prediction of Performance of Counter Flow Vortex Tube Having Various Nozzles Numbers at Different Inlet Pressures of Air, Oxygen, Nitrogen and Argon, Int. J. Refrig., vol. 34, no. 6, pp. 1387-1397, 2011. DOI: 10.1016/j.ijrefrig.2011.03.019.
-
Pourmahmoud, N., Rahimi, M., Rafiee, S.E., and Hassanzadeh, A., A Numerical Simulation of the Effect of Inlet Gas Temperature on the Energy Separation in a Vortex Tube, Int. J. Heat Technol., vol. 30, no. 2, pp. 133-140, 2012.
-
Rafiee, S.E. and Sadeghiazad, M.B.M., Three-Dimensional Computational Prediction of Vortex Separation Phenomenon inside the Ranque-Hilsch Vortex Tube, Aviation, vol. 20, no. 1, pp. 21-31, 2016. DOI: 10.3846/16487788.2016.1139814.
-
Seyed, E.R. and Sadeghiazad, M.M., Three-Dimensional and Experimental Investigation on the Effect of Cone Length of Throttle Valve on Thermal Performance of a Vortex Tube Using k-s Turbulence Model, Appl. Therm. Eng., vol. 66, nos. 1-2, pp. 65-74, 2014. DOI: 10.1016/j.applthermaleng.2014.01.073.
-
Thakare, H.R. and Parekh, A.D., Computational Analysis of Energy Separation in Counter-Flow Vortex Tube, Energy, vol. 85, pp. 62-77, 2015. DOI: 10.1016/j.energy.2015.03.058.
-
Thakare, H.R. and Parekh, A.D., Experimental Investigation and CFD Analysis of Ranque-Hilsch Vortex Tube, Energy, vol. 133, pp. 284-298, 2017. DOI: 10.1016/j.energy.2017.05.070.
-
Tseng, F.M., Yu, H.C., and Tzeng, G.H., Applied Hybrid Grey Model to Forecast Seasonal Time Series, Technol. Forecasting Social Change, vol. 67, nos. 2-3, pp. 291-302, June 2001. DOI: 10.1016/S0040-1625(99)00098-0.
-
Uluer, O., Kirmaci, V., and Atas, s., Using the Artificial Neural Network Model for Modeling the Performance of the Counter Flow Vortex Tube, Expert Syst. Appl., vol. 36, no. 10, pp. 12256-63, 2009. DOI: 10.1016/j.eswa.2009.04.061.
-
Zhang, B. and Guo, X., Prospective Applications of Ranque-Hilsch Vortex Tubes to Sustainable Energy Utilization and Energy Efficiency Improvement with Energy and Mass Separation, Renew. Sustain. Energy Rev., vol. 89, pp. 135-150, 2018. DOI: 10.1016/j.rser.2018.02.026.
-
Chen Lei, Zhang Hongxin, Huang Song, Li Jianjun, Numerical study on structure optimization and heat transfer characteristic of distributed pulsating flow heat exchanger, Energy Sources, Part A: Recovery, Utilization, and Environmental Effects, 44, 3, 2022. Crossref