Two-phase lattice Boltzmann simulation of the effects of base fluid and nanoparticle size on natural convection heat transfer of nanofluid

Qi, Cong; Wang, Guiqing; Yang, Lei; Wan, Yongliang; Rao, Zhonghao

doi:10.1016/j.ijheatmasstransfer.2016.10.043

Cited by 99 publications

(41 citation statements)

References 30 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Xuan and Yao proposed a two‐phase lattice LB model, taking nanoparticles and base fluids as two different components and considering multiple interactions. Qi et al investigated the NCHT of water and metal liquid‐based nanofluids with consideration to nanoparticle size. The results showed that heat transfer was enhanced by adding small radius nanoparticles.…”

Section: Introductionmentioning

confidence: 99%

Regulation of natural convection heat transfer for SiO₂–solar salt nanofluids by optimizing rectangular vessels design

Zhang

Tan

et al. 2020

Asia-Pacific J Chem Eng

View full text Add to dashboard Cite

Natural convection heat transfer of molten salt is widely used in concentrated solar plants, such as the solar receiver, the single‐tank thermal energy storage system, and so forth. Meanwhile, adding nanoparticles into molten salts to form nanofluids can obviously improve the thermal properties of the working medium. However, the heat transfer performance of the molten salt‐based nanofluids has not been investigated extensively, and the action mechanism between base fluids and nanoparticles is still unclear. In the present work, a lattice Boltzmann model considering fluid and nanoparticles as two different phases was developed, and various interactions were taken into consideration. Meanwhile, the effects of nanoparticle concentrations, aspect ratios of the rectangular vessel, and Ra on natural convection heat transfer of solar salt‐based SiO2 nanofluids were analysed. The results show that specific heat capacity contributes substantially to heat transfer for all aspect ratios, and the maximum enhancement of natural convection heat transfer is obtained with a mass fraction of 1.0%. However, increase in Ra intensifies the effect of viscosity and weakens the heat transfer enhancement. Through interaction analysis, it indicated that nanoparticles tend to be driven to the top area of the rectangular vessel by temperature difference, driving force, and drag force. Meanwhile, a Nu enhancement contour was provided to optimize the design of a single energy storage tank.

show abstract

Section: Introductionmentioning

confidence: 99%

Regulation of natural convection heat transfer for SiO₂–solar salt nanofluids by optimizing rectangular vessels design

Zhang

Tan

et al. 2020

Asia-Pacific J Chem Eng

View full text Add to dashboard Cite

show abstract

“…A strong relationship exists between nanoﬂuids thermal conductivity and various parameters, namely: nanoparticle volume fraction, particle material, size and shape, base fluid material and temperature, speciﬁc heat capacity, type of surfactant, and density …”

Section: Introductionmentioning

confidence: 99%

“…Many studies showed the existence of an optimum temperature at which nanoﬂuids thermal conductivity is maximum . Also the pH has an effect on the nanoﬂuids thermal conductivity as its enhancement ratio increases with acidity . Furthermore, the thermal conductivity enhancement ratio can be affected by surfactants and additives used to prevent particle agglomeration .…”

Section: Introductionmentioning

confidence: 99%

“…8 A strong relationship exists between nanofluids thermal conductivity and various parameters, namely: nanoparticle volume fraction, particle material, size and shape, base fluid material and temperature, specific heat capacity, type of surfactant, and density. [9][10][11][12][13][14][15][16][17] The overall aim of using nanofluids is to have optimum thermophysical properties at minimum particle volume fractions. Moreover, it has been reported that the thermal conductivity of nanofluids increases with the increase of nanoparticle concentration.…”

Section: Introductionmentioning

confidence: 99%

“…7 Also the pH has an effect on the nanofluids thermal conductivity as its enhancement ratio increases with acidity. 17 Furthermore, the thermal conductivity enhancement ratio can be affected by surfactants and additives used to prevent particle agglomeration. 14,27 A summary of experimental studies on nanofluids thermal conductivity can be found in Rashmi et al 28 From the above review, it can be noticed that all the different parameters and mechanisms affecting the thermal conductivity of nanofluids cannot be accounted by the traditional models GRINE AND BENHAMZA | 2931 of particle suspensions.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Modeling the effective thermal conductivity of nanofluids using full factorial design analysis

Grine

Benhamza

2019

Heat Trans. Asian Res.

View full text Add to dashboard Cite

In this paper, a full factorial design analysis is proposed for predicting nanofluid thermal conductivity ratio (TCR) as well as determining the effects of critical factors and their interactions. A statistical design of experiment approach with three variables (volume fraction, temperature, and nanoparticle diameter) at two levels is carried out. Three types of oxide‐water nanofluids (Al2O3‐water, CuO‐water, and TiO2‐water) are used to evaluate the effectiveness of the proposed mathematical model. The significance and adequacy of the regression model were evaluated by the analysis of variance. The predicted model has a root mean square error equals to 0.0074, R2 = 0.99, and P < .0013, thus showing good results compared to a set of experimental data as well as other mathematical model results. The results illustrate that the TCR of metallic oxide nanoﬂuids increases with temperature and nanoparticles volume fraction but decreases when nanoparticle size intensiﬁes. Furthermore, it is found that the nanoparticles volume fraction has a great impact on the nanoﬂuids thermophysical properties. Finally, the obtained results confirm that the proposed model is considerably accurate and capable of predicting nanoﬂuids thermal conductivity and that it can be used with ease as an alternative to many other models.

show abstract

Experimental study on thermo‐hydraulic performance of nanofluids upward flowing through helical tubes of heat exchanger system based on thermal efficiency

Zhai

Liu

et al. 2019

Asia-Pacific J Chem Eng

Self Cite

View full text Add to dashboard Cite

Convective heat transfer and resistance coefficient of nanofluids upward flowing through helical tubes are experimentally researched in this paper.The effects of three factors (thread pitches [s = 10, 12.5, and 15 cm], inclination angles [β = 0°, 45°, and 90°], and nanoparticle mass fractions [ω = 0.0, 0.1, 0.3, and 0.5 wt.%]) on the heat transfer and flow characteristics are discussed. A thermal efficiency evaluation plot is applied to evaluate the thermo-hydraulic performance of nanofluids. Results show that Nusselt number and resistance coefficient increase with the increasing nanoparticle mass fraction and the decreasing thread pitches. It is also found that helical tube with inclination angle β = 45°shows the best heat transfer performance and that with inclination angle β = 90°shows the worst heat transfer performance. In addition, it is found from the thermal efficiency evaluation plot that the experimental data almost locate in Regions I and II and nanofluids in helical tubes can improve the heat transfer under the same pressure drop. The helical tube with s = 10 cm and β = 45°at the range of Reynolds number (Re > 8,000) shows the largest thermal efficiency.

show abstract

Two-phase lattice Boltzmann simulation of the effects of base fluid and nanoparticle size on natural convection heat transfer of nanofluid

Cited by 99 publications

References 30 publications

Regulation of natural convection heat transfer for SiO₂–solar salt nanofluids by optimizing rectangular vessels design

Regulation of natural convection heat transfer for SiO₂–solar salt nanofluids by optimizing rectangular vessels design

Modeling the effective thermal conductivity of nanofluids using full factorial design analysis

Experimental study on thermo‐hydraulic performance of nanofluids upward flowing through helical tubes of heat exchanger system based on thermal efficiency

Contact Info

Product

Resources

About

Two-phase lattice Boltzmann simulation of the effects of base fluid and nanoparticle size on natural convection heat transfer of nanofluid

Cited by 99 publications

References 30 publications

Regulation of natural convection heat transfer for SiO2–solar salt nanofluids by optimizing rectangular vessels design

Regulation of natural convection heat transfer for SiO2–solar salt nanofluids by optimizing rectangular vessels design

Modeling the effective thermal conductivity of nanofluids using full factorial design analysis

Experimental study on thermo‐hydraulic performance of nanofluids upward flowing through helical tubes of heat exchanger system based on thermal efficiency

Contact Info

Product

Resources

About

Regulation of natural convection heat transfer for SiO₂–solar salt nanofluids by optimizing rectangular vessels design

Regulation of natural convection heat transfer for SiO₂–solar salt nanofluids by optimizing rectangular vessels design