Abstract
The present numerical study is aimed at investigating the effect of rotation on heat transfer to non-Newtonian nanofluid flowing through a pipe. Non-Newtonian fluid flow under laminar condition with heat transfer finds the applications in various industries like food processing, pharmaceutical and polymer etc. Various proportions (1–3%) of copper nanoparticles are mixed with water to study the heat transfer rates non-Newtonian nanofluid flowing through the rotating pipe. Effect of rotation rate on heat transfer rates are also studied. In this study for 1% nanofluid at a constant rotation rate of 0.8, the Nusselt number is increased by 119.45%. The highest thermal performance factor (TPF) is 1.74, observed at N = 0.8, Pe = 5000, and for 1% volume concentration of non-Newtonian nanofluid.
-
Author contributions: All the authors have accepted responsibility for the entire content of this submitted manuscript and approved submission.
-
Research funding: None declared.
-
Conflict of interest statement: The authors declare no conflicts of interest regarding this article.
References
1. Afrand, M. Experimental study on thermal conductivity of ethylene glycol containing hybrid nano-additives and development of a new correlation. Appl Therm Eng 2017;110:1111–9. https://doi.org/10.1016/j.applthermaleng.2016.09.024.Search in Google Scholar
2. Glory, J, Bonetti, M, Helezen, M, Mayne-L’Hermite, M, Reynaud, C. Thermal and electrical conductivities of water-based nanofluids prepared with long multiwalled carbon nanotubes. J Appl Phys 2008;103:1–8. https://doi.org/10.1063/1.2908229.Search in Google Scholar
3. Sundar, LS, Singh, MK, Sousa, ACM. Investigation of thermal conductivity and viscosity of Fe3O4 nanofluid for heat transfer applications. Int Commun Heat Mass Transfer 2013;44:7–14. https://doi.org/10.1016/j.icheatmasstransfer.2013.02.014.Search in Google Scholar
4. Heris, SZ, Esfahany, MN, Etemad, SG. Experimental investigation of convective heat transfer of Al2O3/water nanofluid in circular tube. Int J Heat Fluid Flow 2007;28:203–10. https://doi.org/10.1016/j.ijheatfluidflow.2006.05.001.Search in Google Scholar
5. Wen, D, Ding, Y. Experimental investigation into convective heat transfer of nanofluids at the entrance region under laminar flow conditions. Int J Heat Mass Transfer 2004;47:5181–8. https://doi.org/10.1016/j.ijheatmasstransfer.2004.07.012.Search in Google Scholar
6. Tahiri, A, Mansouri, K. Theoretical investigation of laminar flow convective heat transfer in a circular duct for a non-Newtonian nanofluid. Appl Therm Eng 2017;112:1027–39. https://doi.org/10.1016/j.applthermaleng.2016.10.137.Search in Google Scholar
7. Chun, BH, Kang, HU, Kim, SH. Effect of alumina nanoparticles in the fluid on heat transfer in double-pipe heat exchanger system. Kor J Chem Eng 2008;25:966–71. https://doi.org/10.1007/s11814-008-0156-5.Search in Google Scholar
8. Asirvatham, LG, Raja, B, Mohan Lal, D, Wongwises, S. Convective heat transfer of nanofluids with correlations. Particuology 2011;9:626–31. https://doi.org/10.1016/j.partic.2011.03.014.Search in Google Scholar
9. He, Y, Jin, Y, Chen, H, Ding, Y, Cang, D, Lu, H. Heat transfer and flow behaviour of aqueous suspensions of TiO2 nanoparticles (nanofluids) flowing upward through a vertical pipe. Int J Heat Mass Transfer 2007;50:2272–81. https://doi.org/10.1016/j.ijheatmasstransfer.2006.10.024.Search in Google Scholar
10. Yin, Z, Bao, F, Tu, C, Hua, Y, Tian, R. Numerical and experimental studies of heat and flow characteristics in a laminar pipe flow of nanofluid. J Exp Nanosci 2018;13:82–94. https://doi.org/10.1080/17458080.2017.1413599.Search in Google Scholar
11. Lin, JZ, Xia, Y, Ku, XK. Flow and heat transfer characteristics of nanofluids containing rod-like particles in a turbulent pipe flow. Int J Heat Mass Transfer 2016;93:57–66. https://doi.org/10.1016/j.ijheatmasstransfer.2015.09.088.Search in Google Scholar
12. Ragueb, H, Mansouri, K. An analytical study of the periodic laminar forced convection of non-Newtonian nanofluid flow inside an elliptical duct. Int J Heat Mass Transfer 2018;127:469–83. https://doi.org/10.1016/j.ijheatmasstransfer.2018.07.051.Search in Google Scholar
13. Santra, AK, Sen, S, Chakraborty, N. Study of heat transfer due to laminar flow of copper-water nanofluid through two isothermally heated parallel plates. Int J Therm Sci 2009;48:391–400. https://doi.org/10.1016/j.ijthermalsci.2008.10.004.Search in Google Scholar
14. Ding, Y, Alias, H, Wen, D, Williams, RA. Heat transfer of aqueous suspensions of carbon nanotubes (CNT nanofluids). Int J Heat Mass Transfer 2006;49:240–50. https://doi.org/10.1016/j.ijheatmasstransfer.2005.07.009.Search in Google Scholar
15. Hojjat, M, Etemad, SG, Bagheri, R, Thibault, J. Convective heat transfer of non-Newtonian nanofluids through a uniformly heated circular tube. Int J Therm Sci 2011;50:525–31. https://doi.org/10.1016/j.ijthermalsci.2010.11.006.Search in Google Scholar
16. Duangthongsuk, W, Wongwises, S. An experimental study on the heat transfer performance and pressure drop of TiO2-water nanofluids flowing under a turbulent flow regime. Int J Heat Mass Transfer 2010;53:334–44. https://doi.org/10.1016/j.ijheatmasstransfer.2009.09.024.Search in Google Scholar
17. Arya, H, Sarafraz, MM, Pourmehran, O, Arjomandi, M. Heat transfer and pressure drop characteristics of MgO nanofluid in a double pipe heat exchanger. Heat Mass Transfer 2019;55:1769–81. https://doi.org/10.1007/s00231-018-02554-1.Search in Google Scholar
18. Kabeel, AE, Abou El Maaty, T, El Samadony, Y. The effect of using nano-particles on corrugated plate heat exchanger performance. Appl Therm Eng 2013;52:221–9. https://doi.org/10.1016/j.applthermaleng.2012.11.027.Search in Google Scholar
19. Zamzamian, A, Oskouie, SN, Doosthoseini, A, Joneidi, A, Pazouki, M. Experimental investigation of forced convective heat transfer coefficient in nanofluids of Al2O3/EG and CuO/EG in a double pipe and plate heat exchangers under turbulent flow. Exp Therm Fluid Sci 2011;35:495–502. https://doi.org/10.1016/j.expthermflusci.2010.11.013.Search in Google Scholar
20. Jung, JY, Oh, HS, Kwak, HY. Forced convective heat transfer of nanofluids in microchannels. Int J Heat Mass Transfer 2009;52:466–72. https://doi.org/10.1016/j.ijheatmasstransfer.2008.03.033.Search in Google Scholar
21. Nguyen, CT, Roy, G, Gauthier, C, Galanis, N. Heat transfer enhancement using Al2O3-water nanofluid for an electronic liquid cooling system. Appl Therm Eng 2007;27:1501–6. https://doi.org/10.1016/j.applthermaleng.2006.09.028.Search in Google Scholar
22. Mozafari, SS, Javaherdeh, K. Numerical design and heat transfer analysis of a non-Newtonian fluid flow for annulus with helical fins. Eng Sci Technol Int J 2019;22:1107–15. https://doi.org/10.1016/j.jestch.2019.03.001.Search in Google Scholar
23. Shabgard, H, Kheradmand, S, Farzaneh, H, Bae, C. Numerical simulation of cooling performance of an exhaust gas recirculation (EGR) cooler using nano-fluids. Appl Therm Eng 2017;110:244–52. https://doi.org/10.1016/j.applthermaleng.2016.08.139.Search in Google Scholar
24. Kikuyama, K, Murakami, M, Nishibori, K, Maeda, K. Flow in an axially rotating pipe: a calculation of flow in the saturated region. Bulletin of JSME 1983;26:506–13. https://doi.org/10.1299/jsme1958.26.506.Search in Google Scholar
25. Reich, G, Weigand, B, Beer, H. Fluid flow and heat transfer in an axially rotating pipe-II. Effect of rotation on laminar pipe flow. Int J Heat Mass Transfer 1989;32:563–74. https://doi.org/10.1016/0017-9310(89)90144-0.Search in Google Scholar
26. Chatterjee, S, Sugilal, G, Prabhu, SV. Heat transfer in a partially filled rotating pipe with single phase flow. Int J Therm Sci 2018;125:132–41. https://doi.org/10.1016/j.ijthermalsci.2017.11.024.Search in Google Scholar
27. Ali, MAM, El-Maghlany, WM, Eldrainy, YA, Attia, A. Heat transfer enhancement of double pipe heat exchanger using rotating of variable eccentricity inner pipe. Alexandria Eng J 2018;57:3709–25. https://doi.org/10.1016/j.aej.2018.03.003.Search in Google Scholar
28. Abou-Ziyan, HZ, Helali, AHB, Selim, MYE. Enhancement of forced convection in wide cylindrical annular channel using rotating inner pipe with interrupted helical fins. Int J Heat Mass Transfer 2016;95:996–1007. https://doi.org/10.1016/j.ijheatmasstransfer.2015.12.066.Search in Google Scholar
29. Yildiz, C, Biçer, Y, Pehlivan, D. The efficiency of heat exchangers with rotating inner pipes. Energy 1996;21:947–54. https://doi.org/10.1016/0360-5442(96)00042-4.Search in Google Scholar
30. Fénot, M, Dorignac, E, Giret, A, Lalizel, G. Convective heat transfer in the entry region of an annular channel with slotted rotating inner cylinder. Appl Therm Eng 2013;54:345–58. https://doi.org/10.1016/j.applthermaleng.2012.10.039.Search in Google Scholar
31. Aberoumand, S, Amin, J. Experimental study on synthesis, stability, thermal conductivity and viscosity of Cu–engine oil nanofluid. J Taiwan Inst Chem Eng 2017;71:315–22. https://doi.org/10.1016/j.jtice.2016.12.035.Search in Google Scholar
32. Thakur, P, Sonawane, SS, Sonawane, SH, Bhanvase, BA. 9 – nanofluids-based delivery system, encapsulation of nanoparticles for stability to make stable nanofluids. In: Encapsulation of active molecules and their delivery system; 2020:141–52 pp.10.1016/B978-0-12-819363-1.00009-0Search in Google Scholar
33. Malika, M, Sonawane, SS. The sono-photocatalytic performance of a novel water based Ti+4 coated Al(OH)3-MWCNT’s hybrid nanofluid for dye fragmentation. Int J Chem React Eng 2021;19:901–12. https://doi.org/10.1515/ijcre-2021-0092.Search in Google Scholar
34. Aberoumand, S, Woodfield, P, Shi, G, Nguyen, TK, Nguyen, HQ, Li, Q, et al.. Thermo-electro-rheological behaviour of vanadium electrolyte-based electrochemical graphene oxide nanofluid designed for redox flow battery. J Mol Liq 2021;338:116860. https://doi.org/10.1016/j.molliq.2021.116860.Search in Google Scholar
35. Thakur, P, Kumar, N, Sonawane, SS. Enhancement of pool boiling performance using MWCNT based nanofluids: a sustainable method for the wastewater and incinerator heat recovery. Sustain Energy Technol Assess 2021;45:101115. https://doi.org/10.1016/j.seta.2021.101115.Search in Google Scholar
36. Thakur, PP, Khapane, TS, Sonawane, SS. Comparative performance evaluation of fly ash-based hybrid nanofluids in microchannel-based direct absorption solar collector. J Therm Anal Calorim 2021;143:1713–26. https://doi.org/10.1007/s10973-020-09884-5.Search in Google Scholar
37. Chhabra, RP, Richardson, JF. Non-newtonian flow and applied rheology. UK: Butterworth-Heinemann; 2008.Search in Google Scholar
38. Salih, A. The conservation equations of fluid dynamics. Department of Aerospace Engineering Indian Institute of Space Science and Technology. Available from: https://www.iist.ac.in/sites/default/files/people/fmeqns.pdf.Search in Google Scholar
39. Bird, RB, Stewert, WE, Lightfoot, EN. Transport phenomena. Singapore: John Wiley &Sons; 1960.Search in Google Scholar
© 2022 Walter de Gruyter GmbH, Berlin/Boston
Articles in the same Issue
- Frontmatter
- Research Articles
- Two-stage adsorber optimization of NaOH-prewashed oil palm empty fruit bunch activated carbon for methylene blue removal
- Response surface methodology (RSM) and artificial neural network (ANN) approach to optimize the photocatalytic conversion of rice straw hydrolysis residue (RSHR) into vanillin and 4-hydroxybenzaldehyde
- Computational investigation of erosion wear in the eco-friendly disposal of the fly ash through 90° horizontal bend of different radius ratios
- Optimal sequencing of conventional distillation column train for multicomponent separation system by evolutionary algorithm
- Enhanced design of PID controller and noise filter for second order stable and unstable processes with time delay
- Removal of glycerol from biodiesel using multi-stage microfiltration membrane system: industrial scale process simulation
- Multi-objective optimization of a fluid catalytic cracking unit using response surface methodology
- Effect of pipe rotation on heat transfer to laminar non-Newtonian nanofluid flowing through a pipe: a CFD analysis
- Statistical modeling and optimization of the bleachability of regenerated spent bleaching earth using response surface methodology and artificial neural networks with genetic algorithm
- Short Communication
- A comparative study: conventional and modified serpentine micromixers
Articles in the same Issue
- Frontmatter
- Research Articles
- Two-stage adsorber optimization of NaOH-prewashed oil palm empty fruit bunch activated carbon for methylene blue removal
- Response surface methodology (RSM) and artificial neural network (ANN) approach to optimize the photocatalytic conversion of rice straw hydrolysis residue (RSHR) into vanillin and 4-hydroxybenzaldehyde
- Computational investigation of erosion wear in the eco-friendly disposal of the fly ash through 90° horizontal bend of different radius ratios
- Optimal sequencing of conventional distillation column train for multicomponent separation system by evolutionary algorithm
- Enhanced design of PID controller and noise filter for second order stable and unstable processes with time delay
- Removal of glycerol from biodiesel using multi-stage microfiltration membrane system: industrial scale process simulation
- Multi-objective optimization of a fluid catalytic cracking unit using response surface methodology
- Effect of pipe rotation on heat transfer to laminar non-Newtonian nanofluid flowing through a pipe: a CFD analysis
- Statistical modeling and optimization of the bleachability of regenerated spent bleaching earth using response surface methodology and artificial neural networks with genetic algorithm
- Short Communication
- A comparative study: conventional and modified serpentine micromixers