Access the full text.
Sign up today, get DeepDyve free for 14 days.
Ranjit Singh, R. Singh, M. Tyagi, Ravinder Kataria (2020)
Investigation of dimensional deviation in wire EDM of M42 HSS using cryogenically treated brass wireMaterials Today: Proceedings, 25
K. Khanafer, K. Vafai, M. Lightstone (2003)
BUOYANCY-DRIVEN HEAT TRANSFER ENHANCEMENT IN A TWO-DIMENSIONAL ENCLOSURE UTILIZING NANOFLUIDSInternational Journal of Heat and Mass Transfer, 46
J. Alinejad, K. Fallah (2017)
Taguchi Optimization Approach for Three-Dimensional Nanofluid Natural Convection in a Transformable EnclosureJournal of Thermophysics and Heat Transfer, 31
O. Odedede (2015)
Local source rock palynology of ANL -1 and E -12 wells sediments offshore Niger delta, Nigeria: Implication for hydrocarbon prospectivity.Journal of Engineering Research, 3
Journal of Engineering Research, 3
D. Khurana, R. Choudhary, S. Subudhi (2016)
Investigation of Thermal Conductivity and Viscosity of Al2O3/Water Nanofluids Using Full Factorial Design and Utility ConceptNANO, 11
J. Ponmozhi, F. Gonçalves, A. Ferreira, I. Fonseca, S. Kanagaraj, N. Martins, Mónica Oliveira (2010)
Thermodynamic and Transport Properties of CNT-Water Based NanofluidsJournal of Nano Research, 11
D. Wen, Yulong Ding (2005)
Formulation of nanofluids for natural convective heat transfer applicationsInternational Journal of Heat and Fluid Flow, 26
M. Corcione (2011)
Empirical correlating equations for predicting the effective thermal conductivity and dynamic viscosity of nanofluidsEnergy Conversion and Management, 52
Aditya Kumar, S. Subudhi (2019)
Preparation, characterization and heat transfer analysis of nanofluids used for engine coolingApplied Thermal Engineering
M. Unsal, A. Baylar, C. Kayadelen, F. Ozkan (2014)
The modeling of oxygen transfer efficiency in gated conduits by using genetic expression programmingJournal of Engineering Research, 2
Calvin Li, G. Peterson (2007)
The effect of particle size on the effective thermal conductivity of Al2O3-water nanofluidsJournal of Applied Physics, 101
D. Khurana, R. Choudhary, S. Subudhi (2017)
A critical review of forced convection heat transfer and pressure drop of Al2O3, TiO2 and CuO nanofluidsHeat and Mass Transfer, 53
Journal of Engineering Research, 2
R. Choudhary, D. Khurana, Aditya Kumar, S. Subudhi (2017)
Stability analysis of Al2O3/water nanofluidsJournal of Experimental Nanoscience, 12
R. Choudhary, S. Subudhi (2016)
Aspect ratio dependence of turbulent natural convection in Al2O3/water nanofluidsApplied Thermal Engineering, 108
S. Gunes, E. Manay, E. Şenyiğit, V. Ozceyhan (2011)
A Taguchi approach for optimization of design parameters in a tube with coiled wire insertsApplied Thermal Engineering, 31
S. Sonawane, Vijay Juwar (2016)
Optimization of conditions for an enhancement of thermal conductivity and minimization of viscosity of ethylene glycol based Fe3O4 nanofluidApplied Thermal Engineering, 109
Advances in Mechanical Engineering, 2
This study aims to deal with the optimization of experimental parameters to obtain maximum heat transfer rate in a Rayleigh–Bénard enclosure filled with the water-based Al2O3 nanofluids using the Taguchi method.Design/methodology/approachThe particle size and particle concentration of the Al2O3 nanoparticles are 40 nm and 0.01 Vol. %, respectively. A two-step approach has been used to prepare the nanofluids of the required concentration by mixing the nanoparticles in the distilled water (DW). A Rayleigh–Bénard enclosure, having a hot bottom and a cold top copper plate with insulated side walls, is used for the experiments. Experiments have been conducted first with the DW, for the validation of experimental facility, and second with nanofluid (Al2O3 + DW), for the heat transfer improvement, at three different values of enclosure aspect ratios (ratio of height to width of an enclosure), i.e. 0.5, 1.0 and 1.5.FindingsSignal-to-noise ratio (SNR) analysis has been used to determine the optimal levels of design parameters and their contribution toward heat transfer augmentation. The heat transfer, i.e. Nusselt number, is determined for L9 (33) orthogonal array designed by Taguchi method along with corresponding SNR values. The SNR values are plotted for DW and nanofluid to study the effect of different parameters and to identify their optimal levels. It was found that the aspect ratio has the maximum contribution ratio of 78% for the nanofluid and 76.12% for the DW, followed by the heat flux and the height.Originality/valueThe present results demonstrated the great reliability of the Taguchi method in the optimization of the thermal system to save the time and cost of experiments.
World Journal of Engineering – Emerald Publishing
Published: May 10, 2022
Keywords: Nanofluid; Optimization; Taguchi method; Heat transfer; Nusselt number; Rayleigh–Bénard convection
Read and print from thousands of top scholarly journals.
Already have an account? Log in
Bookmark this article. You can see your Bookmarks on your DeepDyve Library.
To save an article, log in first, or sign up for a DeepDyve account if you don’t already have one.
Copy and paste the desired citation format or use the link below to download a file formatted for EndNote
Access the full text.
Sign up today, get DeepDyve free for 14 days.
All DeepDyve websites use cookies to improve your online experience. They were placed on your computer when you launched this website. You can change your cookie settings through your browser.