SavedAdd your journal

Journals / Politeknik Dergisi / 2019 / Cilt: 22 - Sayı: 1

Estimation of Entropy Generation for Ag-MgO/Water Hybrid Nanofluid Flow through Rectangular Minichannel by Using Artificial Neural Network

Cüneyt UYSAL
Mehmet Erdi KORKMAZ
Pages
41–51
DOI
—
🏛️Bibliographic metadata and full text access for this article are provided via DergiPark.
DergiPark Record ↗
✨

AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

As a result, it was found that the convective heat transfer coefficient for = 0.02 Ag-MgO/water hybrid nanofluid is 21.29% higher than that of pure water, at Re=2000.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:The convective heat transfer and entropy generation characteristics of Ag-MgO/water hybrid nanofluid flow through rectangular minichannel were numerically investigated.
📊
Key Findings & Data:The Reynolds number was in the range of 200 to 2000 and different nanoparticle volume fractions were varied between = 0.005 and 0.02.
💡
Conclusion & Impact:As a result, it was found that the convective heat transfer coefficient for = 0.02 Ag-MgO/water hybrid nanofluid is 21.29% higher than that of pure water, at Re=2000.
🔬Design:Modeling & Simulation
📍Scope:2000 Verileri
⚙️Variables:Artificial neural network · convective heat transfer · entropy generation

Abstract

The convective heat transfer and entropy generation characteristics of Ag-MgO/water hybrid nanofluid flow through rectangular minichannel were numerically investigated. The Reynolds number was in the range of 200 to 2000 and different nanoparticle volume fractions were varied between = 0.005 and 0.02. In addition, Artificial Neural Network was used to create a model for estimating of entropy generation of Ag-MgO/water hybrid nanofluid flow. As a result, it was found that the convective heat transfer coefficient for = 0.02 Ag-MgO/water hybrid nanofluid is 21.29% higher than that of pure water, at Re=2000. Total entropy generation of Ag-MgO/water hybrid nanofluid increased with increasing nanoparticle volume fraction. The results obtained by ANN showed good agreement with the numerical results obtained in this study.

Özet

The convective heat transfer and entropy generation characteristics of Ag-MgO/water hybrid nanofluid flow through rectangular minichannel were numerically investigated. The Reynolds number was in the range of 200 to 2000 and different nanoparticle volume fractions were varied between = 0.005 and 0.02. In addition, Artificial Neural Network was used to create a model for estimating of entropy generation of Ag-MgO/water hybrid nanofluid flow. As a result, it was found that the convective heat transfer coefficient for = 0.02 Ag-MgO/water hybrid nanofluid is 21.29% higher than that of pure water, at Re=2000. Total entropy generation of Ag-MgO/water hybrid nanofluid increased with increasing nanoparticle volume fraction. The results obtained by ANN showed good agreement with the numerical results obtained in this study.

🔖

Cite This Article

UYSAL, C., KORKMAZ, M. E. (2019). Estimation of Entropy Generation for Ag-MgO/Water Hybrid Nanofluid Flow through Rectangular Minichannel by Using Artificial Neural Network. Politeknik Dergisi, Cilt: 22 - Sayı: 1, 41–51. https://ajindex.com/articles/306400

References (13)

  1. Maxwell J.C., “A Treatise on Electricity and Magnetism”, 2nd ed., Clarendon Press Series, Oxford, (1873)
  2. Choi S.U.S. and Eastman J.A., “Enhancing thermal conductivity of fluids with nanoparticles”, ASME International Mechanical Engineering Congress and Exposition, San Francisco, 1-8, (1995)
  3. Bobbo S., Fedele L., Benetti A., Colla L., Fabrizio M., Pagura C. and Barison S., “Viscosity of water based SWCNH and TiO2 nanofluids”, Experimental Thermal and Fluid Science, 36: 65-71, (2012)
  4. Wang W., Xu X. and Choi S.U.S., “Thermal conductivity of nanoparticle-fluid mixture”, Journal of Thermophysics and Heat Transfer, 13: 474-480, (1999)
  5. Nguyen C.T., Desgranges F., Galanis N., Roy G., Mare T., Boucher S. and Mintsa H.A., “Viscosity data for Al2O3-water nanofluid-hysteresis: is heat transfer enhancement using nanofluids reliable?”, International Journal of Thermal Sciences, 47: 103-111, (2008)
  6. Pak B.C. and Cho Y.I., “Hydrodynamic and heat transfer study of dispersed fluids with submicron metallic oxide particles”, Experimental Heat Transfer, 11: 151-170, (1998)
  7. Chandrasekar M., Suresh S. and Bose A.C, “Experimental investigations and theoretical determination of thermal conductivity and viscosity of Al2O3/water nanofluid”, Experimental Thermal and Fluid Science, 34: 210-216, (2010)
  8. Masuda H., Ebata A., Teramae K. and Hishinuma N., “Alteration of thermal conductivity and viscosity of liquid by dispersing ultra-fine particles. Dispersion of Al2O3, SiO2 and TiO2 ultra-fine particles”, Netsu Bussei, 7: 227-233, (1993)
  9. Turgut A., Tavman I., Chirtoc M., Schuchmann H.P., Sauter C. and Tavman S., “Thermal conductivity and viscosity measurements of water-based TiO2 nanofluid”, International Journal of Thermophysics, 30: 1213-1226, (2009)
  10. Li C.H. and Peterson G.P., “Experimental investigation of temperature and volume fraction variations on the effective thermal conductivity of nanoparticle suspensions (nanofluids)”, Journal of Applied Physics, 99: 084314 1-8 (2006)
  11. Kang H.U., Kim S.H. and Oh J.M., “Estimation of thermal conductivity of nanofluid using experimental effective particle volume”, Experimental Heat Transfer, 19: 181-191 (2006)
  12. F. Qiao, “Preparation and property Ag, Graphene nanofluids”, Master Dissertations, Qingdao University of Science and Technology, (2010)
  13. Sharma P., Baek I.H., Cho T., Park S. and Lee K.B., “Enhancement of thermal conductivity of ethylene glycol based silver nanofluids”, Powder