Optimizing Heat Transfer in Microchannel Heat Sinks: A Numerical Investigation with Nanofluids and Modified Geometries

Document Type : Original Article

Authors

Department of Mechanical Engineering, Babol Noshirvani University of Technology, Babol, Iran

Abstract

The utilization of microchannel heat sinks stands as one of the most reliable solutions for dissipating heat generated in electronic chips. In this numerical study, a fractal microchannel heat sink employing three nanofluids Cu-water, Al2O3-water, and TiO2-water with variable volume fractions of 2 and 4 percent as the cooling fluid within the microchannels was investigated. The fluid flow inside the microchannels was analyzed from both hydrodynamic and thermal perspectives. The parameters such as pump power, Nusselt number, and performance evaluation criterion (PEC) were studied. Results demonstrate that heat transfer increases with an increase in the flow rate and volume fraction of nanoparticles. The maximum temperature reduction for the Cu-water nanofluid at an inlet flow rate of 200 ml/min and a volume fraction of 4% is 2.41%, the highest among the investigated nanofluids. However, this nanofluid also exhibits the highest pressure drop, reaching 25% at a 4% volume fraction. The PEC number analysis reveals an overall performance increase for all three microchannels. The Cu-water nanofluid exhibits the best comprehensive performance, providing an 8% overall enhancement, followed by Al2O3-water and TiO2-water nanofluids, which increase the system performance by 5% and 4%, respectively. Furthermore, the study introduced fins and cavities to the microchannel branches to enhance heat transfer and overall performance. Results indicate an increase in heat transfer for both modified geometries. The microchannel with fins exhibits a 3.5% lower maximum temperature compared to the original geometry at an inlet flow rate of 200 ml/min, while the microchannel with cavities showed a 1% reduction. However, the microchannel with fins experiences a 400% higher pressure drop than the initial geometry, while the microchannel with cavities has a 4% increase. PEC number analysis demonstrated that the microchannel with cavities improves system performance by 8%, whereas the microchannel with fins reduced system performance by 4%.

Graphical Abstract

Optimizing Heat Transfer in Microchannel Heat Sinks: A Numerical Investigation with Nanofluids and Modified Geometries

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References

  1. Agostini B, Fabbri M, Park JE, Wojtan L, Thome JR, Michel B. State of the art of high heat flux cooling technologies. Heat transfer engineering. 2007;28(4):258-81. https://doi.org/10.1080/01457630601117799
  2. Wang G, Qian N, Ding G. Heat transfer enhancement in microchannel heat sink with bidirectional rib. International Journal of Heat and Mass Transfer. 2019;136:597-609. https://doi.org/10.1016/j.ijheatmasstransfer.2019.02.018
  3. Tuckerman DB, Pease RFW. High-performance heat sinking for VLSI. IEEE Electron device letters. 1981;2(5):126-9. https://doi.org/10.1109/EDL.1981.25367
  4. Weisberg A, Bau HH, Zemel J. Analysis of microchannels for integrated cooling. International Journal of Heat and Mass Transfer. 1992;35(10):2465-74. https://doi.org/10.1016/0017-9310(92)90089-B
  5. Jeevan K, Quadir G, Seetharamu K, Azid I, Zainal Z. Optimization of thermal resistance of stacked micro‐channel using genetic algorithms. International Journal of Numerical Methods for Heat & Fluid Flow. 2005;15(1):27-42. https://doi.org/10.1108/09615530510571930
  6. Bejan A, Errera MR. Deterministic tree networks for fluid flow: geometry for minimal flow resistance between a volume and one point. Fractals. 1997;5(04):685-95. https://doi.org/10.1142/S0218348X97000553
  7. Chen Y, Cheng P. Heat transfer and pressure drop in fractal tree-like microchannel nets. International Journal of Heat and Mass Transfer. 2002;45(13):2643-8. https://doi.org/10.1016/S0017-9310(02)00013-3
  8. Pence D. Reduced pumping power and wall temperature in microchannel heat sinks with fractal-like branching channel networks. Microscale Thermophysical Engineering. 2003;6(4):319-30. https://doi.org/10.1080/10893950290098359
  9. Xu S, Hu G, Qin J, Yang Y. A numerica1 study of fluid flow and heat transfer in different microchannel heat sinks for electronic chip cooling. Journal of mechanical science and technology. 2012;26:1257-63. https://doi.org/10.1007/s12206-012-0209-x
  10. Zaretabar M, Asadian H, Ganji D. Numerical simulation of heat sink cooling in the mainboard chip of a computer with temperature dependent thermal conductivity. Applied Thermal Engineering. 2018;130:1450-9. https://doi.org/10.1016/j.applthermaleng.2017.10.127
  11. Xu S, Wang W, Fang K, Wong C-N. Heat transfer performance of a fractal silicon microchannel heat sink subjected to pulsation flow. International Journal of Heat and Mass Transfer. 2015;81:33-40. https://doi.org/10.1016/j.ijheatmasstransfer.2014.10.002
  12. Oyewola OM, Awonusi AA, Ismail OS. Performance improvement of air-cooled battery thermal management system using sink of different pin-fin shapes. Emerging Science Journal. 2022;6(4):851-65. https://doi.org/10.28991/ESJ-2022-06-04-013
  13. Alrwashdeh SS, Ammari H, Madanat MA, Al-Falahat AaM. The effect of heat exchanger design on heat transfer rate and temperature distribution. Emerging Science Journal. 2022;6(1):128-37. https://doi.org/10.28991/ESJ-2022-06-01-010
  14. Yan Y, Yan H, Yin S, Zhang L, Li L. Single/multi-objective optimizations on hydraulic and thermal management in micro-channel heat sink with bionic Y-shaped fractal network by genetic algorithm coupled with numerical simulation. International Journal of Heat and Mass Transfer. 2019;129:468-79. https://doi.org/10.1016/j.ijheatmasstransfer.2018.09.120
  15. Choi SU, Eastman JA. Enhancing thermal conductivity of fluids with nanoparticles. Argonne National Lab.(ANL), Argonne, IL (United States); 1995. https://www.osti.gov/biblio/19652
  16. Keblinski P, Phillpot S, Choi S, Eastman J. Mechanisms of heat flow in suspensions of nano-sized particles (nanofluids). International journal of heat and mass transfer. 2002;45(4):855-63. https://doi.org/10.1016/S0017-9310(01)00175-2
  17. Abu-Nada E, Masoud Z, Hijazi A. Natural convection heat transfer enhancement in horizontal concentric annuli using nanofluids. International Communications in Heat and Mass Transfer. 2008;35(5):657-65. https://doi.org/10.1016/j.icheatmasstransfer.2007.11.004
  18. Pasha P, Domiri-Ganji D. Hybrid analysis of micropolar ethylene-glycol nanofluid on stretching surface mounted triangular, rectangular and chamfer fins by FEM strategy and optimization with RSM method. International Journal of Engineering. 2022;35(5):845-54. https://doi.org/10.5829/ije.2022.35.05b.01
  19. Ho C-J, Chen W. An experimental study on thermal performance of Al2O3/water nanofluid in a minichannel heat sink. Applied Thermal Engineering. 2013;50(1):516-22. https://doi.org/10.1016/j.applthermaleng.2012.07.037
  20. Hatami M, Ganji D. Thermal and flow analysis of microchannel heat sink (MCHS) cooled by Cu–water nanofluid using porous media approach and least square method. Energy Conversion and management. 2014;78:347-58. https://doi.org/10.1016/j.enconman.2013.10.063
  21. Jalili B, Rezaeian A, Jalili P, Ommi F, Ganji DD. Numerical modeling of magnetic field impact on the thermal behavior of a microchannel heat sink. Case Studies in Thermal Engineering. 2023;45:102944. https://doi.org/10.1016/j.csite.2023.102944
  22. Abdollahi S, Jalili P, Jalili B, Nourozpour H, Safari Y, Pasha P, et al. Computer simulation of Cu: AlOOH/water in a microchannel heat sink using a porous media technique and solved by numerical analysis AGM and FEM. Theoretical and Applied Mechanics Letters. 2023;13(3):100432. https://doi.org/10.1016/j.taml.2023.100432
  23. Jalili P, Narimisa H, Jalili B, Ganji D. Micro-polar nanofluid in the presence of thermophoresis, hall currents, and Brownian motion in a rotating system. Modern Physics Letters B. 2023;37(01):2250197. https://doi.org/10.1142/S0217984922501974
  24. Jalili P, Sadeghi Ghahare A, Jalili B, Domiri Ganji D. Analytical and numerical investigation of thermal distribution for hybrid nanofluid through an oblique artery with mild stenosis. SN Applied Sciences. 2023;5(4):95. https://doi.org/10.1007/s42452-023-05312-z
  25. Jalili P, Azar AA, Jalili B, Ganji DD. Study of nonlinear radiative heat transfer with magnetic field for non-Newtonian Casson fluid flow in a porous medium. Results in Physics. 2023;48:106371. https://doi.org/10.1016/j.rinp.2023.106371
  26. Jalili B, Roshani H, Jalili P, Jalili M, Pasha P, Ganji DD. The magnetohydrodynamic flow of viscous fluid and heat transfer examination between permeable disks by AGM and FEM. Case Studies in Thermal Engineering. 2023;45:102961. https://doi.org/10.1016/j.csite.2023.102961
  27. Jalili P, D Afifi M, Jalili B, Mirzaei A, D Ganji D. Numerical Study and Comparison of Two-dimensional Ferrofluid Flow in Semi-porous Channel under Magnetic Field. International Journal of Engineering, Transactions B: Applications. 2023;36(11):2087-101. https://doi.org/10.5829/ije.2023.36.11b.13
  28. Alibeigi M, Farahani S. Effect of porous medium positioning on heat transfer of micro-channel with jet. International Journal of Engineering. 2020;33(10):2057-64. https://doi.org/10.5829/ije.2020.33.10a.24
  29. Vatani M, Domiri-Ganji D. Experimental examination of gas-liquid two-phase flow patterns in an inclined rectangular channel with 90 bend for various vertical lengths. International Journal of Engineering. 2022;35(4):685-91.
  30. Ranjbar A, Ramiar A. The effect of viscous dissipation and variable properties on nanofluids flow in two dimensional microchannels. International Journal of Engineering, Transactions A: Basics. 2011;24(2):131-42. https://doi.org/10.5829/ije.2022.35.04A.07
  31. Tayari E, Torkzadeh L, Domiri Ganji D, Nouri K. Analytical solution of electromagnetic force on nanofluid flow with brownian motion effects between parallel disks. International Journal of Engineering, Transactions B: Applications. 2022;35(8):1651-61. https://doi.org/10.5829/ije.2022.35.08b.21
  32. Tarrad AH. 3d numerical modeling to evaluate the thermal performance of single and double u-tube ground-coupled heat pump. HighTech and Innovation Journal. 2022;3(2):115-29. https://doi.org/10.28991/HIJ-2022-03-02-01
  33. Brinkman HC. The viscosity of concentrated suspensions and solutions. The Journal of chemical physics. 1952;20(4):571. https://doi.org/10.1063/1.1700493
  34. Hamilton RL, Crosser O. Thermal conductivity of heterogeneous two-component systems. Industrial & Engineering chemistry fundamentals. 1962;1(3):187-91. https://doi.org/10.1021/i160003a005
  35. Zamani M, Shafaghat R, Alizadeh Kharkeshi B. Numerical Study of the Hydrodynamic Behavior of an Archimedes Screw Turbine by Experimental Data in order to Optimize Turbine Performance: The Genetic Algorithm. Journal of Applied and Computational Mechanics. 2023. https://doi.org/10.22055/jacm.2023.43137.4031
  36. Yan Y, Yan H, Feng S, Li L. Thermal-hydraulic performances and synergy effect between heat and flow distribution in a truncated doubled-layered heat sink with Y-shaped fractal network. International Journal of Heat and Mass Transfer. 2019;142:118337. https://doi.org/10.1016/j.ijheatmasstransfer.2019.06.093
International Journal of Engineering
Volume 37, Issue 5
TRANSACTIONS B: Applications
May 2024
Pages 860-875

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