Dynamic viscosity modeling of nanofluids with MgO nanoparticles by utilizing intelligent methods
暂无分享,去创建一个
Alfian Ma’arif | Hudhaifa Hamzah | Bandar M. Fadhl | B. Makhdoum | Iswanto Suwarno | Mohamed Salem | A. Ma’arif
[1] M. Sepehrnia,et al. Examining rheological behavior of CeO2-GO-SA/10W40 ternary hybrid nanofluid based on experiments and COMBI/ANN/RSM modeling , 2022, Scientific reports.
[2] M. Koc,et al. Thermal management of power electronics using nanofluids and nucleate boiling heat transfer technique , 2022, Energy Reports.
[3] A. Sohani,et al. Deep Q-Value Neural Network (DQN) Reinforcement Learning for the Techno-Economic Optimization of a Solar-Driven Nanofluid-Assisted Desalination Technology , 2022, Water.
[4] K. Mohammadzadeh,et al. Rheological behavior of engine oil based hybrid nanofluid containing MWCNT and ZnO nanopowders: Experimental analysis, developing a novel correlation and neural network modeling , 2022, Powder Technology.
[5] M. Alhuyi Nazari,et al. Modeling and Sensitivity Analysis of Thermal Conductivity of Ethylene Glycol-Water Based Nanofluids with Alumina Nanoparticles , 2022, Experimental Techniques.
[6] G. Huminic,et al. Water-Based Graphene Oxide–Silicon Hybrid Nanofluids—Experimental and Theoretical Approach , 2022, International journal of molecular sciences.
[7] A. Sohani,et al. The real-time dynamic multi-objective optimization of a building integrated photovoltaic thermal (BIPV/T) system enhanced by phase change materials , 2022, Journal of Energy Storage.
[8] S. M. Alizadeh,et al. A well-trained feed-forward perceptron Artificial Neural Network (ANN) for prediction the dynamic viscosity of Al2O3–MWCNT (40:60)-Oil SAE50 hybrid nano-lubricant at different volume fraction of nanoparticles, temperatures, and shear rates , 2021, International Communications in Heat and Mass Transfer.
[9] Mohammad Mehdi Rashidi,et al. Thermophysical Properties of Hybrid Nanofluids and the Proposed Models: An Updated Comprehensive Study , 2021, Nanomaterials.
[10] Haris M. Khalid,et al. Performance Enhancement of Self-Cleaning Hydrophobic Nanocoated Photovoltaic Panels in a Dusty Environment , 2021, Energies.
[11] Amine Ammar,et al. Viscosity and Rheological Properties of Graphene Nanopowders Nanofluids , 2021, Entropy.
[12] A. Sohani,et al. Using computational fluid dynamics for different alternatives water flow path in a thermal photovoltaic (PVT) system , 2020 .
[13] A. Karimipour,et al. Rheological behavior of hybrid MWCNTs-TiO2/EG nanofluid: A comprehensive modeling and experimental study , 2020 .
[14] I. Alarifi,et al. An experimental study on characterization, stability and dynamic viscosity of CuO-TiO2/water hybrid nanofluid , 2020, Journal of Molecular Liquids.
[15] M. Mohamed,et al. Energy storage system with flat plate solar collector and water-ZnO nanofluid , 2020 .
[16] S. Rostamian,et al. Experimental study on the thermal conductivity and viscosity of transformer oil -based nanofluid containing ZnO nanoparticles , 2020 .
[17] S. M. Yahya,et al. An artificial neural network approach for the prediction of dynamic viscosity of MXene-palm oil nanofluid using experimental data , 2020, Journal of Thermal Analysis and Calorimetry.
[18] Eric C. Okonkwo,et al. An experimental investigation into the effect of particle mixture ratio on specific heat capacity and dynamic viscosity of Al2O3-ZnO hybrid nanofluids , 2020, Powder Technology.
[19] Amin Asadi,et al. Feasibility of ANFIS-PSO and ANFIS-GA Models in Predicting Thermophysical Properties of Al2O3-MWCNT/Oil Hybrid Nanofluid , 2019, Materials.
[20] S. Hoseinzadeh. Thermal Performance of Electrochromic Smart Window with Nanocomposite Structure under Different Climates in Iran , 2019, Micro and Nanosystems.
[21] Lingen Chen,et al. A review on the utilized machine learning approaches for modeling the dynamic viscosity of nanofluids , 2019, Renewable and Sustainable Energy Reviews.
[22] 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.
[23] Ravinder Kumar,et al. Comparing various machine learning approaches in modeling the dynamic viscosity of CuO/water nanofluid , 2019, Journal of Thermal Analysis and Calorimetry.
[24] O. Mahian,et al. Performance enhancement of heat exchangers using eccentric tape inserts and nanofluids , 2019, Journal of Thermal Analysis and Calorimetry.
[25] Arturo S. Leon,et al. Experimental Investigation on Thermal Performance of a PV/T-PCM (Photovoltaic/Thermal) System Cooling with a PCM and Nanofluid , 2019, Energies.
[26] M. A. Delavar,et al. Improve the thermal performance of the pillow plate heat exchanger by using nanofluid: Numerical simulation , 2019, Advanced Powder Technology.
[27] K. Sopian,et al. Experimental investigation of using nano-PCM/nanofluid on a photovoltaic thermal system (PVT): Technical and economic study , 2019, Thermal Science and Engineering Progress.
[28] A. Sözen,et al. Experimental and Numerical Investigation of Nanofluid Usage in a Plate Heat Exchanger for Performance Improvement , 2019, International Journal of Renewable Energy Development.
[29] Jie Qu,et al. Experimental investigation on thermal performance of phase change material coupled with three-dimensional oscillating heat pipe (PCM/3D-OHP) for thermal management application , 2019, International Journal of Heat and Mass Transfer.
[30] A. Asadi,et al. Heat transfer performance of two oil-based nanofluids containing ZnO and MgO nanoparticles; a comparative experimental investigation , 2019, Powder Technology.
[31] Ali J. Chamkha,et al. Towards experimental and modeling study of heat transfer performance of water- SiO2 nanofluid in quadrangular cross-section channels , 2019, Engineering Applications of Computational Fluid Mechanics.
[32] Mohammad Ali Ahmadi,et al. Rigorous smart model for predicting dynamic viscosity of Al2O3/water nanofluid , 2018, Journal of Thermal Analysis and Calorimetry.
[33] M. Safaei,et al. Experimental study to obtain the viscosity of CuO-loaded nanofluid: effects of nanoparticles’ mass fraction, temperature and basefluid’s types to develop a correlation , 2018, Meccanica.
[34] Yashar Haghighi Bardineh,et al. Applying GMDH artificial neural network to predict dynamic viscosity of an antimicrobial nanofluid , 2018 .
[35] Mohammad Hossein Ahmadi,et al. A review of thermal conductivity of various nanofluids , 2018, Journal of Molecular Liquids.
[36] Mohammad Behshad Shafii,et al. How to improve the thermal performance of pulsating heat pipes: A review on working fluid , 2018, Renewable and Sustainable Energy Reviews.
[37] D. Toghraie,et al. An experimental study on rheological behavior of a nanofluid containing oxide nanoparticle and proposing a new correlation , 2018 .
[38] Fathollah Pourfayaz,et al. Connectionist intelligent model estimates of convective heat transfer coefficient of nanofluids in circular cross-sectional channels , 2018, Journal of Thermal Analysis and Calorimetry.
[39] A. S. Dalkılıç,et al. A REVIEW OF FLOW BOILING IN MINI AND MICROCHANNEL FOR ENHANCED GEOMETRIES , 2018 .
[40] Omid Ali Akbari,et al. Investigation of turbulent heat transfer and nanofluid flow in a double pipe heat exchanger , 2018 .
[41] Mohammad Hossein Ahmadi,et al. Experimental investigation of graphene oxide nanofluid on heat transfer enhancement of pulsating heat pipe , 2018 .
[42] D. Toghraie,et al. Experimental investigation for developing a new model for the dynamic viscosity of silver/ethylene glycol nanofluid at different temperatures and solid volume fractions , 2018, Journal of Thermal Analysis and Calorimetry.
[43] K. Sopian,et al. Evaluation of the nanofluid and nano-PCM based photovoltaic thermal (PVT) system: An experimental study , 2017 .
[44] R. Ghasemiasl,et al. Experimental analysis to improving thermosyphon (TPCT) thermal efficiency using nanoparticles/based fluids (water) , 2017 .
[45] Mohsen Ghazikhani,et al. Experimental study of using both ZnO/ water nanofluid and phase change material (PCM) in photovoltaic thermal systems , 2017 .
[46] G. Żyła. Viscosity and thermal conductivity of MgO–EG nanofluids , 2017, Journal of Thermal Analysis and Calorimetry.
[47] Qunzhi Zhu,et al. Thermal Storage Properties of Molten Nitrate Salt-Based Nanofluids with Graphene Nanoplatelets , 2016, Nanoscale Research Letters.
[48] Mohammad Mahdi Heyhat,et al. The effect of using nano-silver dispersed water based nanofluid as a passive method for energy efficiency enhancement in a plate heat exchanger , 2016 .
[49] Jiateng Zhao,et al. Experimental investigation on thermal performance of phase change material coupled with closed-loop oscillating heat pipe (PCM/CLOHP) used in thermal management , 2016 .
[50] Marc A. Rosen,et al. Using GMDH Neural Networks to Model the Power and Torque of a Stirling Engine , 2015 .
[51] S. Kalaiselvam,et al. Preparation and Thermophysical Properties of Water–Glycerol Mixture-Based CuO Nanofluids as PCM for Cooling Applications , 2013, IEEE Transactions on Nanotechnology.
[52] T. L. Bergman,et al. Enhancement of latent heat energy storage using embedded heat pipes , 2011 .
[53] Wei Chen,et al. MgO nanofluids: higher thermal conductivity and lower viscosity among ethylene glycol-based nanofluids containing oxide nanoparticles , 2010 .
[54] Shuying Wu,et al. Thermal energy storage behavior of Al2O3–H2O nanofluids , 2009 .
[55] M. Alktranee,et al. Effect of zirconium oxide nanofluid on the behaviour of photovoltaic–thermal system: An experimental study , 2023, Energy Reports.
[56] M. Nazari,et al. Heat exchangers and nanofluids , 2021 .
[57] Akbar Maleki,et al. Machine learning-based approaches for modeling thermophysical properties of hybrid nanofluids: A comprehensive review , 2021 .