The Experts below are selected from a list of 188352 Experts worldwide ranked by ideXlab platform
Amin Asadi - One of the best experts on this subject based on the ideXlab platform.
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Feasibility of least-square support vector machine in predicting the effects of shear rate on the rheological properties and pumping power of MWCNT–MgO/oil hybrid nanofluid based on experimental data
Journal of Thermal Analysis and Calorimetry, 2020Co-Authors: Amin Asadi, Hoang M. Nguyen, Ibrahim M. Alarifi, Hossein MoayediAbstract:The main objective of the present paper was to investigate the feasibility of the least-square support vector machine (LSSVM) in predicting the effects of shear rate on the dynamic viscosity of a hybrid oil-based nanolubricant containing MWCNT and MgO nanoparticles in different Solid Concentrations and temperatures. Firstly, measuring the dynamic viscosity of the nanofluid revealed that the nanofluid is a non-Newtonian fluid at the temperatures of 10 °C and 20 °C in all the studied shear rates and Solid Concentrations while it showed Newtonian behavior at the rest of the studied temperatures. Then the effects of Solid Concentration and temperature on the dynamic viscosity have been experimentally studied, and it is found that the dynamic viscosity increased as the Solid Concentration increased; the maximum increase has been observed at the Solid Concentration of 1.5% and temperature of 60 °C by 52 vol. %, while the minimum increase has been observed at the Solid Concentration of 0.125 vol. % and temperature of 10 °C by 11%. Based on the experimental data, a new correlation to predict the dynamic viscosity of the nanofluid in terms of shear rate, Solid Concentration, and the temperature has been proposed. Then, the LSSVM has been employed to predict the dynamic viscosity behavior of the nanofluid considering the shear rate, temperature, and Solid Concentration as the input variables and the dynamic viscosity as the output variable and the results showed the excellent capability of the LSSVM in predicting the dynamic viscosity. Finally, the effects of adding the hybrid nanoparticles on the pumping power have been studied.
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on the rheological properties of mwcnt tio2 oil hybrid nanofluid an experimental investigation on the effects of shear rate temperature and Solid Concentration of nanoparticles
Powder Technology, 2019Co-Authors: Ibrahim M. Alarifi, Hoang M. Nguyen, Ahmad Bader Alkouh, Vakkar Ali, Amin AsadiAbstract:Abstract The present investigation aims to experimentally examine the effects of shear rate, temperature, and Solid Concentration of nanoparticles on the rheological properties of TiO2-MWCNT (80%–20%)/oil (5 W50) nanofluid. The rheological behavior of the nanofluid, whether it is a Newtonian or non-Newtonian fluid, has been studied in different temperatures, shear rates, and Solid Concentrations. It is found that the nanofluid behaves as a Newtonian fluid under the conditions of the present study. In addition, the increasing trend in the dynamic viscosity of the nanofluid has been observed as the Solid Concentration increases. The maximum increase has been observed at the Solid Concentration and temperature of 2% and 50 °C, respectively, by 42%. Moreover, employing the experimental results, a new correlation for estimating the dynamic viscosity of the nanofluid in terms of temperature and Solid Concentrations has been proposed with the accuracy of 4%.
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heat transfer efficiency of al2o3 mwcnt thermal oil hybrid nanofluid as a cooling fluid in thermal and energy management applications an experimental and theoretical investigation
International Journal of Heat and Mass Transfer, 2018Co-Authors: Amin Asadi, Alireza Rezaniakolaei, Masoud Afrand, Lasse Rosendahl, M. Asadi, Somchai WongwisesAbstract:Abstract The main objective of the present study is to assess the heat transfer efficiency of Al2O3-MWCNT/thermal oil hybrid nanofluid over different temperatures (25–50 °C) and Solid Concentrations (0.125%–1.5%). To this end, first of all, the stability of the nano-oil has been studied through the Zeta potential analysis. Then, the dynamic viscosity and thermal conductivity of the nanofluid have been experimentally investigated. It was found that the nanofluid showed Newtonian behavior over the studied range of temperatures and Solid Concentrations. The dynamic viscosity showed increasing trend as the Solid Concentration increased. It is found that the minimum increase in dynamic viscosity is at the temperature of 50 °C in all the studied Solid Concentrations except 0.5% and 1%. As for the thermal conductivity, it showed increasing trend as the temperature and Solid Concentration increased. The maximum enhancement was at the temperature of 50 °C and Solid Concentration 1.5% by approximately 45%. Based on the experimental data, two new highly precise correlations to predict the dynamic viscosity and thermal conductivity of the studied nanofluid have been proposed. Moreover, the heat transfer efficiency of the nanofluid has been evaluated based on different figures of merit. It is revealed that using this nanofluid instead of the base fluid can be beneficial in all the studied Solid Concentrations and temperatures for both the internal laminar and turbulent flow regimes except the Solid Concentrations of 1 and 1.5% in internal turbulent flow regimes. The effect of adding nanoparticles on pumping power and convective heat transfer coefficient has also been theoretically investigated.
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Heat transfer efficiency of Al2O3-MWCNT/thermal oil hybrid nanofluid as a cooling fluid in thermal and energy management applications: An experimental and theoretical investigation
International Journal of Heat and Mass Transfer, 2018Co-Authors: Amin Asadi, Alireza Rezaniakolaei, Masoud Afrand, Lasse Rosendahl, M. Asadi, Somchai WongwisesAbstract:Abstract The main objective of the present study is to assess the heat transfer efficiency of Al2O3-MWCNT/thermal oil hybrid nanofluid over different temperatures (25–50 °C) and Solid Concentrations (0.125%–1.5%). To this end, first of all, the stability of the nano-oil has been studied through the Zeta potential analysis. Then, the dynamic viscosity and thermal conductivity of the nanofluid have been experimentally investigated. It was found that the nanofluid showed Newtonian behavior over the studied range of temperatures and Solid Concentrations. The dynamic viscosity showed increasing trend as the Solid Concentration increased. It is found that the minimum increase in dynamic viscosity is at the temperature of 50 °C in all the studied Solid Concentrations except 0.5% and 1%. As for the thermal conductivity, it showed increasing trend as the temperature and Solid Concentration increased. The maximum enhancement was at the temperature of 50 °C and Solid Concentration 1.5% by approximately 45%. Based on the experimental data, two new highly precise correlations to predict the dynamic viscosity and thermal conductivity of the studied nanofluid have been proposed. Moreover, the heat transfer efficiency of the nanofluid has been evaluated based on different figures of merit. It is revealed that using this nanofluid instead of the base fluid can be beneficial in all the studied Solid Concentrations and temperatures for both the internal laminar and turbulent flow regimes except the Solid Concentrations of 1 and 1.5% in internal turbulent flow regimes. The effect of adding nanoparticles on pumping power and convective heat transfer coefficient has also been theoretically investigated.
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the effect of temperature and Solid Concentration on dynamic viscosity of mwcnt mgo 20 80 sae50 hybrid nano lubricant and proposing a new correlation an experimental study
International Communications in Heat and Mass Transfer, 2016Co-Authors: Amin Asadi, M. Asadi, Mohammadhosein Rezaei, Marzieh Siahmargoi, Fahime AsadiAbstract:Abstract The main objective of the present paper is to investigate the dynamic viscosity of MWCNT/MgO (20–80)–SAE50 hybrid nano-lubricant. The experiments carried out in Solid Concentrations ranging from 0.25% to 2% and temperatures ranging from 25 °C to 50 °C. The results revealed that the nano-lubricant shows Newtonian behavior in all the studied temperatures and Solid Concentrations. Furthermore, the experimental results showed that the dynamic viscosity decreased as the temperature increased. It is also revealed that increasing the Solid Concentration leads to increasing the dynamic viscosity of the nano-lubricant in all the temperatures. The maximum increase in dynamic viscosity took place at the Solid Concentration of 2% and temperature of 40 °C by 65% while the minimum increase was at the Solid Concentration of 0.25% and temperature of 25 °C by 14.4%. Finally, applying curve fitting method on the experimental data, a new model to predict the dynamic viscosity of the studied nano-lubricant in terms of temperature and Solid Concentration has been proposed.
Somchai Wongwises - One of the best experts on this subject based on the ideXlab platform.
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heat transfer efficiency of al2o3 mwcnt thermal oil hybrid nanofluid as a cooling fluid in thermal and energy management applications an experimental and theoretical investigation
International Journal of Heat and Mass Transfer, 2018Co-Authors: Amin Asadi, Alireza Rezaniakolaei, Masoud Afrand, Lasse Rosendahl, M. Asadi, Somchai WongwisesAbstract:Abstract The main objective of the present study is to assess the heat transfer efficiency of Al2O3-MWCNT/thermal oil hybrid nanofluid over different temperatures (25–50 °C) and Solid Concentrations (0.125%–1.5%). To this end, first of all, the stability of the nano-oil has been studied through the Zeta potential analysis. Then, the dynamic viscosity and thermal conductivity of the nanofluid have been experimentally investigated. It was found that the nanofluid showed Newtonian behavior over the studied range of temperatures and Solid Concentrations. The dynamic viscosity showed increasing trend as the Solid Concentration increased. It is found that the minimum increase in dynamic viscosity is at the temperature of 50 °C in all the studied Solid Concentrations except 0.5% and 1%. As for the thermal conductivity, it showed increasing trend as the temperature and Solid Concentration increased. The maximum enhancement was at the temperature of 50 °C and Solid Concentration 1.5% by approximately 45%. Based on the experimental data, two new highly precise correlations to predict the dynamic viscosity and thermal conductivity of the studied nanofluid have been proposed. Moreover, the heat transfer efficiency of the nanofluid has been evaluated based on different figures of merit. It is revealed that using this nanofluid instead of the base fluid can be beneficial in all the studied Solid Concentrations and temperatures for both the internal laminar and turbulent flow regimes except the Solid Concentrations of 1 and 1.5% in internal turbulent flow regimes. The effect of adding nanoparticles on pumping power and convective heat transfer coefficient has also been theoretically investigated.
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Heat transfer efficiency of Al2O3-MWCNT/thermal oil hybrid nanofluid as a cooling fluid in thermal and energy management applications: An experimental and theoretical investigation
International Journal of Heat and Mass Transfer, 2018Co-Authors: Amin Asadi, Alireza Rezaniakolaei, Masoud Afrand, Lasse Rosendahl, M. Asadi, Somchai WongwisesAbstract:Abstract The main objective of the present study is to assess the heat transfer efficiency of Al2O3-MWCNT/thermal oil hybrid nanofluid over different temperatures (25–50 °C) and Solid Concentrations (0.125%–1.5%). To this end, first of all, the stability of the nano-oil has been studied through the Zeta potential analysis. Then, the dynamic viscosity and thermal conductivity of the nanofluid have been experimentally investigated. It was found that the nanofluid showed Newtonian behavior over the studied range of temperatures and Solid Concentrations. The dynamic viscosity showed increasing trend as the Solid Concentration increased. It is found that the minimum increase in dynamic viscosity is at the temperature of 50 °C in all the studied Solid Concentrations except 0.5% and 1%. As for the thermal conductivity, it showed increasing trend as the temperature and Solid Concentration increased. The maximum enhancement was at the temperature of 50 °C and Solid Concentration 1.5% by approximately 45%. Based on the experimental data, two new highly precise correlations to predict the dynamic viscosity and thermal conductivity of the studied nanofluid have been proposed. Moreover, the heat transfer efficiency of the nanofluid has been evaluated based on different figures of merit. It is revealed that using this nanofluid instead of the base fluid can be beneficial in all the studied Solid Concentrations and temperatures for both the internal laminar and turbulent flow regimes except the Solid Concentrations of 1 and 1.5% in internal turbulent flow regimes. The effect of adding nanoparticles on pumping power and convective heat transfer coefficient has also been theoretically investigated.
Alessandro Paglianti - One of the best experts on this subject based on the ideXlab platform.
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EFFECT OF TURBULENT DISPERSION ON THE Solid Concentration DISTRIBUTION IN STIRRED TANKS
2019Co-Authors: Giuseppina Montante, Francesco Maluta, Alessandro PagliantiAbstract:The prediction of the Concentration distribution of Solid particles in turbulent fluids is a challenge for Computational Fluid Dynamics (CFD) models, particularly when the particle volume fraction exceeds 10-3, that is often considered as the boundary value between dilute and dense suspensions (Balachander and Eaton, 2010). Solid-liquid systems in industrial equipment of complex geometry and large scale are mostly simulated in the realm of Eulerian-Eulerian two-fluid models, which development and validation have advanced significantly in the past years. Nevertheless, the influence of the dispersed phase on the continuous phase fluid dynamics (i.e. two-way coupling) and the interactions between particles (i.e. four-way coupling) are very tough to predict accurately by closure models. Recently, in addition to the drag force correlations, that have doubtless a significant impact on the Solid distribution (e.g. Tamburini et al., 2013), inter-particle collision has received attention in the simulation of high Solid loading stirred tanks (e.g. Wadnerkar et al., 2016; Xie and Luo, 2018). Comparatively less efforts have been devoted to the effect of the Solids on the liquid phase flow field, although the liquid turbulent characteristics are important in the current closure models for the turbulent dispersion due to the Solid volume fraction fluctuations. In this work, glass particles of different sizes in a stirred tank with water at impeller speed below and above the just-suspended condition are considered. The Solid suspension and the Solid Concentration distribution in the tank are discussed considering experimental particle Concentration profiles collected by Electrical Resistance Tomography. The model adopted for the turbulent fluctuations of the Solid volume fraction, whose formulation depends on the equations averaging procedure, significantly affects the simulated Solid distribution, particularly at incomplete Solid suspension conditions. As can be observed in Figure 1, with the most widespread model formulations, the contribution of the Solid volume fraction fluctuations is included not only in the turbulent regions of the stirred tank, but it is artificially introduced also in the almost motionless region, where the turbulent viscosity should be equal to zero. It is apparent that model refinements are required to prevent the turbulent dispersion force to unphysically suspend the Solid phase in the regions of settled Solids or almost stagnant liquid
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analysis of Solid Concentration distribution in dense Solid liquid stirred tanks by electrical resistance tomography
Chemical Engineering Science, 2014Co-Authors: Claudio Carletti, Giuseppina Montante, Tapio Westerlund, Alessandro PagliantiAbstract:Abstract The knowledge of the spatial Solids distribution is important for predicting the performance of various processes carried out in mechanically stirred equipment. In this work, the Solid suspension in a stirred tank equipped with PBT and Lightnin A310 impellers is investigated by electrical resistance tomography (ERT). The analysis concerns dense Solid–liquid systems, with mass ratio of suspended Solid to liquid up to 0.43, with the main goal of obtaining detailed information on the spatial distribution of the dispersed phase and on the mixing quality. The shape of the interface between the Solid mixture and the clear liquid layer is also determined. The results provide insight into the complex behaviour of dense suspensions and can be adopted as a benchmark for advanced modeling techniques based on CFD methods. Based on the experimental results, a method for the evaluation of the distribution of the Solids under different working conditions and geometrical set-up is suggested. This criterion can provide a guideline for scale-up, when equal Solid distribution at different scales is required.
M. Asadi - One of the best experts on this subject based on the ideXlab platform.
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heat transfer efficiency of al2o3 mwcnt thermal oil hybrid nanofluid as a cooling fluid in thermal and energy management applications an experimental and theoretical investigation
International Journal of Heat and Mass Transfer, 2018Co-Authors: Amin Asadi, Alireza Rezaniakolaei, Masoud Afrand, Lasse Rosendahl, M. Asadi, Somchai WongwisesAbstract:Abstract The main objective of the present study is to assess the heat transfer efficiency of Al2O3-MWCNT/thermal oil hybrid nanofluid over different temperatures (25–50 °C) and Solid Concentrations (0.125%–1.5%). To this end, first of all, the stability of the nano-oil has been studied through the Zeta potential analysis. Then, the dynamic viscosity and thermal conductivity of the nanofluid have been experimentally investigated. It was found that the nanofluid showed Newtonian behavior over the studied range of temperatures and Solid Concentrations. The dynamic viscosity showed increasing trend as the Solid Concentration increased. It is found that the minimum increase in dynamic viscosity is at the temperature of 50 °C in all the studied Solid Concentrations except 0.5% and 1%. As for the thermal conductivity, it showed increasing trend as the temperature and Solid Concentration increased. The maximum enhancement was at the temperature of 50 °C and Solid Concentration 1.5% by approximately 45%. Based on the experimental data, two new highly precise correlations to predict the dynamic viscosity and thermal conductivity of the studied nanofluid have been proposed. Moreover, the heat transfer efficiency of the nanofluid has been evaluated based on different figures of merit. It is revealed that using this nanofluid instead of the base fluid can be beneficial in all the studied Solid Concentrations and temperatures for both the internal laminar and turbulent flow regimes except the Solid Concentrations of 1 and 1.5% in internal turbulent flow regimes. The effect of adding nanoparticles on pumping power and convective heat transfer coefficient has also been theoretically investigated.
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Heat transfer efficiency of Al2O3-MWCNT/thermal oil hybrid nanofluid as a cooling fluid in thermal and energy management applications: An experimental and theoretical investigation
International Journal of Heat and Mass Transfer, 2018Co-Authors: Amin Asadi, Alireza Rezaniakolaei, Masoud Afrand, Lasse Rosendahl, M. Asadi, Somchai WongwisesAbstract:Abstract The main objective of the present study is to assess the heat transfer efficiency of Al2O3-MWCNT/thermal oil hybrid nanofluid over different temperatures (25–50 °C) and Solid Concentrations (0.125%–1.5%). To this end, first of all, the stability of the nano-oil has been studied through the Zeta potential analysis. Then, the dynamic viscosity and thermal conductivity of the nanofluid have been experimentally investigated. It was found that the nanofluid showed Newtonian behavior over the studied range of temperatures and Solid Concentrations. The dynamic viscosity showed increasing trend as the Solid Concentration increased. It is found that the minimum increase in dynamic viscosity is at the temperature of 50 °C in all the studied Solid Concentrations except 0.5% and 1%. As for the thermal conductivity, it showed increasing trend as the temperature and Solid Concentration increased. The maximum enhancement was at the temperature of 50 °C and Solid Concentration 1.5% by approximately 45%. Based on the experimental data, two new highly precise correlations to predict the dynamic viscosity and thermal conductivity of the studied nanofluid have been proposed. Moreover, the heat transfer efficiency of the nanofluid has been evaluated based on different figures of merit. It is revealed that using this nanofluid instead of the base fluid can be beneficial in all the studied Solid Concentrations and temperatures for both the internal laminar and turbulent flow regimes except the Solid Concentrations of 1 and 1.5% in internal turbulent flow regimes. The effect of adding nanoparticles on pumping power and convective heat transfer coefficient has also been theoretically investigated.
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the effect of temperature and Solid Concentration on dynamic viscosity of mwcnt mgo 20 80 sae50 hybrid nano lubricant and proposing a new correlation an experimental study
International Communications in Heat and Mass Transfer, 2016Co-Authors: Amin Asadi, M. Asadi, Mohammadhosein Rezaei, Marzieh Siahmargoi, Fahime AsadiAbstract:Abstract The main objective of the present paper is to investigate the dynamic viscosity of MWCNT/MgO (20–80)–SAE50 hybrid nano-lubricant. The experiments carried out in Solid Concentrations ranging from 0.25% to 2% and temperatures ranging from 25 °C to 50 °C. The results revealed that the nano-lubricant shows Newtonian behavior in all the studied temperatures and Solid Concentrations. Furthermore, the experimental results showed that the dynamic viscosity decreased as the temperature increased. It is also revealed that increasing the Solid Concentration leads to increasing the dynamic viscosity of the nano-lubricant in all the temperatures. The maximum increase in dynamic viscosity took place at the Solid Concentration of 2% and temperature of 40 °C by 65% while the minimum increase was at the Solid Concentration of 0.25% and temperature of 25 °C by 14.4%. Finally, applying curve fitting method on the experimental data, a new model to predict the dynamic viscosity of the studied nano-lubricant in terms of temperature and Solid Concentration has been proposed.
Ibrahim M. Alarifi - One of the best experts on this subject based on the ideXlab platform.
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Feasibility of least-square support vector machine in predicting the effects of shear rate on the rheological properties and pumping power of MWCNT–MgO/oil hybrid nanofluid based on experimental data
Journal of Thermal Analysis and Calorimetry, 2020Co-Authors: Amin Asadi, Hoang M. Nguyen, Ibrahim M. Alarifi, Hossein MoayediAbstract:The main objective of the present paper was to investigate the feasibility of the least-square support vector machine (LSSVM) in predicting the effects of shear rate on the dynamic viscosity of a hybrid oil-based nanolubricant containing MWCNT and MgO nanoparticles in different Solid Concentrations and temperatures. Firstly, measuring the dynamic viscosity of the nanofluid revealed that the nanofluid is a non-Newtonian fluid at the temperatures of 10 °C and 20 °C in all the studied shear rates and Solid Concentrations while it showed Newtonian behavior at the rest of the studied temperatures. Then the effects of Solid Concentration and temperature on the dynamic viscosity have been experimentally studied, and it is found that the dynamic viscosity increased as the Solid Concentration increased; the maximum increase has been observed at the Solid Concentration of 1.5% and temperature of 60 °C by 52 vol. %, while the minimum increase has been observed at the Solid Concentration of 0.125 vol. % and temperature of 10 °C by 11%. Based on the experimental data, a new correlation to predict the dynamic viscosity of the nanofluid in terms of shear rate, Solid Concentration, and the temperature has been proposed. Then, the LSSVM has been employed to predict the dynamic viscosity behavior of the nanofluid considering the shear rate, temperature, and Solid Concentration as the input variables and the dynamic viscosity as the output variable and the results showed the excellent capability of the LSSVM in predicting the dynamic viscosity. Finally, the effects of adding the hybrid nanoparticles on the pumping power have been studied.
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on the rheological properties of mwcnt tio2 oil hybrid nanofluid an experimental investigation on the effects of shear rate temperature and Solid Concentration of nanoparticles
Powder Technology, 2019Co-Authors: Ibrahim M. Alarifi, Hoang M. Nguyen, Ahmad Bader Alkouh, Vakkar Ali, Amin AsadiAbstract:Abstract The present investigation aims to experimentally examine the effects of shear rate, temperature, and Solid Concentration of nanoparticles on the rheological properties of TiO2-MWCNT (80%–20%)/oil (5 W50) nanofluid. The rheological behavior of the nanofluid, whether it is a Newtonian or non-Newtonian fluid, has been studied in different temperatures, shear rates, and Solid Concentrations. It is found that the nanofluid behaves as a Newtonian fluid under the conditions of the present study. In addition, the increasing trend in the dynamic viscosity of the nanofluid has been observed as the Solid Concentration increases. The maximum increase has been observed at the Solid Concentration and temperature of 2% and 50 °C, respectively, by 42%. Moreover, employing the experimental results, a new correlation for estimating the dynamic viscosity of the nanofluid in terms of temperature and Solid Concentrations has been proposed with the accuracy of 4%.
