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Statistical optimization of microchannel heat sink (MCHS) geometry cooled by different nanofluids using RSM analysis

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Abstract
In this work, an analytical investigation of the heat transfer for the microchannel heat sink (MCHS) cooled by different nanofluids (Cu, Al2O3, Ag, TiO2 in water and ethylene glycol as base fluids) is studied by the porous media approach and the Galerkin method and results are compared with numerical procedure. Response surface methodology (RSM) is applied to obtain the desirability of the optimum design of the channel geometry. The effective thermal conductivity and viscosity of the nanofluid are calculated by the Patel et al. and Khanafer et al. model, respectively, and MCHS is considered as a porous medium, as proposed by Kim and Kim. In addition, to deal with nanofluid heat transfer, a model based on the Brownian motion of nanoparticles is used. The effects of the nanoparticles volume fraction, nanoparticle type and size, base fluid type, etc., on the temperature distribution, velocity and Nusselt number are considered. Results show that, by increasing the nanoparticles volume fraction, the Brownian movement of the particles, which carries the heat and distributes it to the surroundings, increases and, consequently, the difference between coolant and wall temperature becomes less.
Keywords
FORCED-CONVECTION, PARALLEL PLATES, POROUS FINS, THERMAL-CONDUCTIVITY, NATURAL-CONVECTION, FLOW, PERFORMANCE, WATER, MICROSTRUCTURES, NONLINEARITIES

Citation

Please use this url to cite or link to this publication:

MLA
Rahimi Gorji, Mohammad et al. “Statistical Optimization of Microchannel Heat Sink (MCHS) Geometry Cooled by Different Nanofluids Using RSM Analysis.” EUROPEAN PHYSICAL JOURNAL PLUS 130.2 (2015): n. pag. Print.
APA
Rahimi Gorji, M., Pourmehran, O., Hatami, M., & Ganji, D. (2015). Statistical optimization of microchannel heat sink (MCHS) geometry cooled by different nanofluids using RSM analysis. EUROPEAN PHYSICAL JOURNAL PLUS, 130(2).
Chicago author-date
Rahimi Gorji, Mohammad, O Pourmehran, M Hatami, and DD Ganji. 2015. “Statistical Optimization of Microchannel Heat Sink (MCHS) Geometry Cooled by Different Nanofluids Using RSM Analysis.” European Physical Journal Plus 130 (2).
Chicago author-date (all authors)
Rahimi Gorji, Mohammad, O Pourmehran, M Hatami, and DD Ganji. 2015. “Statistical Optimization of Microchannel Heat Sink (MCHS) Geometry Cooled by Different Nanofluids Using RSM Analysis.” European Physical Journal Plus 130 (2).
Vancouver
1.
Rahimi Gorji M, Pourmehran O, Hatami M, Ganji D. Statistical optimization of microchannel heat sink (MCHS) geometry cooled by different nanofluids using RSM analysis. EUROPEAN PHYSICAL JOURNAL PLUS. 2015;130(2).
IEEE
[1]
M. Rahimi Gorji, O. Pourmehran, M. Hatami, and D. Ganji, “Statistical optimization of microchannel heat sink (MCHS) geometry cooled by different nanofluids using RSM analysis,” EUROPEAN PHYSICAL JOURNAL PLUS, vol. 130, no. 2, 2015.
@article{8582756,
  abstract     = {In this work, an analytical investigation of the heat transfer for the microchannel heat sink (MCHS) cooled by different nanofluids (Cu, Al2O3, Ag, TiO2 in water and ethylene glycol as base fluids) is studied by the porous media approach and the Galerkin method and results are compared with numerical procedure. Response surface methodology (RSM) is applied to obtain the desirability of the optimum design of the channel geometry. The effective thermal conductivity and viscosity of the nanofluid are calculated by the Patel et al. and Khanafer et al. model, respectively, and MCHS is considered as a porous medium, as proposed by Kim and Kim. In addition, to deal with nanofluid heat transfer, a model based on the Brownian motion of nanoparticles is used. The effects of the nanoparticles volume fraction, nanoparticle type and size, base fluid type, etc., on the temperature distribution, velocity and Nusselt number are considered. Results show that, by increasing the nanoparticles volume fraction, the Brownian movement of the particles, which carries the heat and distributes it to the surroundings, increases and, consequently, the difference between coolant and wall temperature becomes less.},
  articleno    = {22},
  author       = {Rahimi Gorji, Mohammad and Pourmehran, O and Hatami, M and Ganji, DD},
  issn         = {2190-5444},
  journal      = {EUROPEAN PHYSICAL JOURNAL PLUS},
  keywords     = {FORCED-CONVECTION,PARALLEL PLATES,POROUS FINS,THERMAL-CONDUCTIVITY,NATURAL-CONVECTION,FLOW,PERFORMANCE,WATER,MICROSTRUCTURES,NONLINEARITIES},
  language     = {eng},
  number       = {2},
  pages        = {21},
  title        = {Statistical optimization of microchannel heat sink (MCHS) geometry cooled by different nanofluids using RSM analysis},
  url          = {http://dx.doi.org/10.1140/epjp/i2015-15022-8},
  volume       = {130},
  year         = {2015},
}

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