Modeling the thermal conductivity ratio of an antifreeze-based hybrid nanofluid containing graphene oxide and copper oxide for using in thermal systems
暂无分享,去创建一个
[1] Rasool Kalbasi. Introducing a novel heat sink comprising PCM and air - Adapted to electronic device thermal management , 2021 .
[2] A. Maleki,et al. Applications of intelligent methods in various types of heat exchangers: a review , 2021, Journal of Thermal Analysis and Calorimetry.
[3] Mostafa Safdari Shadloo,et al. Application of support vector machines for accurate prediction of convection heat transfer coefficient of nanofluids through circular pipes , 2020, International Journal of Numerical Methods for Heat & Fluid Flow.
[4] M. Z. Abdullah,et al. Effect of TiO2-Al2O3 nanoparticle mixing ratio on the thermal conductivity, rheological properties, and dynamic viscosity of water-based hybrid nanofluid , 2020 .
[5] Ali Sulaiman Alsagri,et al. Concentrating solar collectors in absorption and adsorption cooling cycles: An overview , 2020 .
[6] Mostafa Safdari Shadloo,et al. Estimation of Pressure Drop of Two-Phase Flow in Horizontal Long Pipes Using Artificial Neural Networks , 2020 .
[7] S. Abbasian-Naghneh,et al. Effect of silica nano-materials on the viscosity of ethylene glycol: an experimental study by considering sonication duration effect , 2020 .
[8] Aysan Shahsavar Goldanlou,et al. Forecasting the thermal conductivity of a nanofluid using artificial neural networks , 2020, Journal of Thermal Analysis and Calorimetry.
[9] Cong Qi,et al. Competition between intermolecular forces of adhesion and cohesion in the presence of graphene nanoparticles: Investigation of graphene nanosheets/ethylene glycol surface tension , 2020 .
[10] M. Ahmadi,et al. Experimental evaluation and artificial neural network modeling of thermal conductivity of water based nanofluid containing magnetic copper nanoparticles , 2020 .
[11] Mostafa Safdari Shadloo,et al. A review on the properties, preparation, models and stability of hybrid nanofluids to optimize energy consumption , 2020, Journal of Thermal Analysis and Calorimetry.
[12] M. Afrand,et al. Improving the thermal conductivity of water by adding mono & hybrid nano-additives containing graphene and silica: A comparative experimental study , 2020, International Communications in Heat and Mass Transfer.
[13] M. Afrand,et al. The rheological behavior of MWCNTs–ZnO/Water–Ethylene glycol hybrid non-Newtonian nanofluid by using of an experimental investigation , 2020 .
[14] Q. Bach,et al. Develop optimal network topology of artificial neural network (AONN) to predict the hybrid nanofluids thermal conductivity according to the empirical data of Al2O3 – Cu nanoparticles dispersed in ethylene glycol , 2020 .
[15] D. Toghraie,et al. Experimental measurements of thermal conductivity of engine oil-based hybrid and mono nanofluids with tungsten oxide (WO3) and MWCNTs inclusions , 2020 .
[16] Aysan Shahsavar Goldanlou,et al. Improving the thermal conductivity of ethylene glycol by addition of hybrid nano-materials containing multi-walled carbon nanotubes and titanium dioxide: applicable for cooling and heating , 2020, Journal of Thermal Analysis and Calorimetry.
[17] A. Karimipour,et al. Thermal Conductivity Enhancement via Synthesis Produces a New Hybrid Mixture Composed of Copper Oxide and Multi-walled Carbon Nanotube Dispersed in Water: Experimental Characterization and Artificial Neural Network Modeling , 2020 .
[18] Liu Yang,et al. An updated review on the properties, fabrication and application of hybrid-nanofluids along with their environmental effects , 2020 .
[19] M. Afrand,et al. Effects of sonication duration and nanoparticles concentration on thermal conductivity of silica-ethylene glycol nanofluid under different temperatures: An experimental study , 2020 .
[20] A. Khalil,et al. Preparation, characterization, and thermal conductivity of polyvinyl-formaldehyde/MWCNTs foam: A low cost heat sink substrate , 2020, Journal of Materials Research and Technology.
[21] M. Afrand,et al. Improving the efficiency of vacuum tube collectors using new absorbent tubes arrangement: Introducing helical coil and spiral tube adsorbent tubes , 2020 .
[22] Ali Sulaiman Alsagri,et al. Energy performance enhancement of solar thermal power plants by solar parabolic trough collectors and evacuated tube collectors‐based preheating units , 2020, International Journal of Energy Research.
[23] M. Afrand,et al. A renewable energy-driven thermoelectric-utilized solar still with external condenser loaded by silver/nanofluid for simultaneously water disinfection and desalination , 2020 .
[24] M. Afrand,et al. A novel comparative experimental study on rheological behavior of mono & hybrid nanofluids concerned graphene and silica nano-powders: Characterization, stability and viscosity measurements , 2020 .
[25] A. Maleki,et al. Applying different types of artificial neural network for modeling thermal conductivity of nanofluids containing silica particles , 2020, Journal of Thermal Analysis and Calorimetry.
[26] Hua Wang,et al. Statistical image analysis of uniformity of hybrid nanofluids and prediction models of thermophysical parameters based on artificial neural network (ANN) , 2020 .
[27] M. Sadeghzadeh,et al. Evolving connectionist approaches to compute thermal conductivity of TiO2/water nanofluid , 2020 .
[28] M. Afrand,et al. Mathematical and artificial brain structure-based modeling of heat conductivity of water based nanofluid enriched by double wall carbon nanotubes , 2020 .
[29] M. Jabbal,et al. Preparation and characteristics evaluation of mono and hybrid nano-enhanced phase change materials (NePCMs) for thermal management of microelectronics , 2020, Energy Conversion and Management.
[30] M. Sharifpur,et al. Experimental study of thermo-convection performance of hybrid nanofluids of Al2O3-MWCNT/water in a differentially heated square cavity , 2020, International Journal of Heat and Mass Transfer.
[31] M. Ameri,et al. Energy and exergy evaluation of the evacuated tube solar collector using Cu2O/water nanofluid utilizing ANN methods , 2020 .
[32] C. Zou,et al. The stability, viscosity and thermal conductivity of carbon nanotubes nanofluids with high particle concentration: A surface modification approach , 2020 .
[33] Vivek Kumar,et al. Particle ratio optimization of Al2O3-MWCNT hybrid nanofluid in minichannel heat sink for best hydrothermal performance , 2020 .
[34] Hua Wang,et al. Established prediction models of thermal conductivity of hybrid nanofluids based on artificial neural network (ANN) models in waste heat system , 2020 .
[35] A. Ahmadi Nadooshan,et al. The effect of hybrid nano-additive consists of graphene oxide and copper oxide on rheological behavior of a mixture of water and ethylene glycol , 2020, Journal of Thermal Analysis and Calorimetry.
[36] D. Toghraie,et al. An experimental study on the rheological behavior of hybrid Tungsten oxide (WO3)-MWCNTs/engine oil Newtonian nanofluids , 2019, Journal of Molecular Structure.
[37] Seyed Amin Bagherzadeh,et al. A novel comprehensive experimental study concerned graphene oxide nanoparticles dispersed in water: Synthesise, characterisation, thermal conductivity measurement and present a new approach of RLSF neural network , 2019 .
[38] Ahmad Arabkoohsar,et al. Efficient and cost-effective district heating system with decentralized heat storage units, and triple-pipes , 2019 .
[39] Ali Sulaiman Alsagri,et al. Partial load operation analysis of trigeneration subcooled compressed air energy storage system , 2019, Journal of Cleaner Production.
[40] Mostafa Safdari Shadloo,et al. Energy and exergy analyses of a nanofluid based solar cooling and hydrogen production combined system , 2019, Renewable Energy.
[41] Akbar Maleki,et al. Thermal conductivity prediction of nanofluids containing CuO nanoparticles by using correlation and artificial neural network , 2019, Journal of Thermal Analysis and Calorimetry.
[42] Somchai Wongwises,et al. Recent advances in preparation methods and thermophysical properties of oil-based nanofluids: A state-of-the-art review , 2019, Powder Technology.
[43] Seyed Amin Bagherzadeh,et al. Develop 24 dissimilar ANNs by suitable architectures & training algorithms via sensitivity analysis to better statistical presentation: Measure MSEs between targets & ANN for Fe–CuO/Eg–Water nanofluid , 2019, Physica A: Statistical Mechanics and its Applications.
[44] A. Raisi,et al. An experimental study on the thermal conductivity of new antifreeze containing copper oxide and graphene oxide nano-additives , 2019, Powder Technology.
[45] M. Koç,et al. A comprehensive review on synthesis, stability, thermophysical properties, and characterization of nanofluids , 2019, Powder Technology.
[46] D. Toghraie,et al. Effects of nanoparticles to present a statistical model for the viscosity of MgO-Water nanofluid , 2019, Powder Technology.
[47] Omid Mahian,et al. Experimental study for developing an accurate model to predict viscosity of CuO–ethylene glycol nanofluid using genetic algorithm based neural network , 2018, Powder Technology.
[48] M. Afrand,et al. Experimental evaluation of dynamic viscosity of ZnO–MWCNTs/engine oil hybrid nanolubricant based on changes in temperature and concentration , 2018, Journal of Thermal Analysis and Calorimetry.
[49] D. Toghraie,et al. An experimental study on rheological behavior of a nanofluid containing oxide nanoparticle and proposing a new correlation , 2018 .
[50] F. Hormozi,et al. New correlations to predict the thermal and hydraulic performance of different longitudinal pin fins as vortex generator in miniature channel: Utilizing MWCNT-water and Al 2 O 3 -water nanofluids , 2017 .
[51] S. Khosrojerdi,et al. Experimental evaluation and ANN modeling of thermal conductivity of graphene oxide nanoplatelets/deionized water nanofluid ☆ , 2016 .
[52] R. Martinez-Cuenca,et al. Forced-convective heat-transfer coefficient and pressure drop of water-based nanofluids in a horizontal pipe , 2016 .
[53] B. Nadler,et al. Modeling of cell adhesion and deformation mediated by receptor–ligand interactions , 2016, Biomechanics and modeling in mechanobiology.
[54] S. Naga Sarada,et al. Experimental thermal conductivity of ethylene glycol and water mixture based low volume concentration of Al2O3 and CuO nanofluids , 2013 .
[55] G. Peterson,et al. Experimental investigation of temperature and volume fraction variations on the effective thermal conductivity of nanoparticle suspensions (nanofluids) , 2006 .