Effects of surfactant on stability and thermo-physical properties of metal oxide nanofluids

Khairul, M.A.; Shah, Kalpit; Doroodchi, Elham; Azizian, Reza; Moghtaderi, Behdad

doi:10.1016/j.ijheatmasstransfer.2016.03.079

Cited by 200 publications

(89 citation statements)

References 31 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Nanofluids are synthesized by suspending nanoparticles which may be metallic (Al, Cu, Al 2 O 3 , SiC, AlN, SiN) or non-metallic (graphite, carbon nanotubes) in base fluids. Applications of nanofluids are growing in increasingly rich and diverse technologies including anti-bacterial systems, cancer therapy, solar cell enhancement and coolants for propulsion and lubrication designs [2][3][4][5]. Nanofluid convective heat transfer and other thermal characteristics have been recently reviewed by Tripathi and Bég [6] for application in pharmacology, Kleinstreuer and Xu [7] for microchannels, Sadeghi et al [8] for circular tubes fitted with helical inserts, Vajjha et al [9] for turbulent flows, Shin and Banerjee [10] for nano-materials processing, Huminic and Huminic [11] for curve tube and Mahian et al [12] for entropy generation minimization.…”

Section: Introductionmentioning

confidence: 99%

A numerical study of magnetohydrodynamic transport of nanofluids over a vertical stretching sheet with exponential temperature-dependent viscosity and buoyancy effects

Akbar

Tripathi

Khan

et al. 2016

Chemical Physics Letters

View full text Add to dashboard Cite

show abstract

Section: Introductionmentioning

confidence: 99%

A numerical study of magnetohydrodynamic transport of nanofluids over a vertical stretching sheet with exponential temperature-dependent viscosity and buoyancy effects

Akbar

Tripathi

Khan

et al. 2016

Chemical Physics Letters

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%

“…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 . A summary of experimental studies on nanofluids thermal conductivity can be found in Rashmi et al…”

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%

See 1 more Smart Citation

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

“…The nanofluids usually exhibit high thermal conductivities, which are significant to the development of energy, and have been widely used in drug delivery solar cells, lipase immobilization, soil remediation, lubrication, and hydraulic fracturing of gas and oil. In addition, nanofluids have been introduced to the enhanced oil recovery (EOR) area due to their unique thermal properties and large surface area [4][5][6][7][8]. Many works have been done to study the EOR performance of nanofluids composed of different nanoparticles.…”

mentioning

confidence: 99%

Lessons Learned from Our Recent Research in Chemical Enhanced Oil Recovery (C-EOR) Methods

Wei¹,

Wei²,

Zhao³

et al. 2018

Recent Insights in Petroleum Science and Engineering

View full text Add to dashboard Cite

As a result of the ever-increasing global energy demand coupled with the rapid decline of the oil production, the games of enhanced oil recovery (EOR) are played in many oilfields worldwide especially in China. It was reported that EOR jobs produced 45.1 × 10 4 m 3 /d of oil production rate in 2014 all over the world, proving the significance of these jobs.Due to the complex geology, chemical enhanced oil recovery (C-EOR) methods are considered the predominant technology in China and takes nearly 86% of the total EOR projects currently. This fact motivates us to develop novel and more advanced C-EOR methods for different geological types of Chinese reservoirs such as high temperature and pressure, ultralow permeability, heavy oil reservoirs, etc. Through 20 years' efforts, many advantageous C-EOR methods have been successfully developed in our group and tested in oilfields such as stabilized foam injection, nanofluid flooding, functional polymer flooding, etc. Herein, this chapter summarized the latest experimental results of three representative C-EOR methods. More attentions were given to the relationship between bulk properties and flow behaviors in porous media. The lessons learned from our research in C-EOR were also discussed in this chapter.Keywords: enhanced oil recovery, chemical flooding, innovative EOR, nanofluid, polymer microsphere, enhanced foam Nanofluid floodingTo date, hydrolyzed polyacrylamide (HPAM) is still the most widely used polymer due to its availability in large quantities with customizable properties (molecular weight, hydrolysis degree, etc.) and low manufacturing cost. However, acrylamide-based polymers are susceptible to chemical, mechanical, thermal, and microbial degradations [1]. In addition, the acrylamide monomers place © 2018 The Author(s). Licensee InTech. This chapter is distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.detriment to the environment due to its toxicity [2,3]. Nanofluids, which are obtained through dispersing nanoparticles in the base fluids, are attracting research attentions. The nanofluids usually exhibit high thermal conductivities, which are significant to the development of energy, and have been widely used in drug delivery solar cells, lipase immobilization, soil remediation, lubrication, and hydraulic fracturing of gas and oil. In addition, nanofluids have been introduced to the enhanced oil recovery (EOR) area due to their unique thermal properties and large surface area [4][5][6][7][8]. Many works have been done to study the EOR performance of nanofluids composed of different nanoparticles. Hendraningrat et al. evaluated the displacement efficiency of the nanofluid. They claimed that the nanofluid increased the oil recovery by 7-14.3% and the optimum concentration was 0.05 wt% for water-wet core [9,10]. The stability of nanofluids was considered as an imp...

show abstract

Effects of surfactant on stability and thermo-physical properties of metal oxide nanofluids

Cited by 200 publications

References 31 publications

A numerical study of magnetohydrodynamic transport of nanofluids over a vertical stretching sheet with exponential temperature-dependent viscosity and buoyancy effects

A numerical study of magnetohydrodynamic transport of nanofluids over a vertical stretching sheet with exponential temperature-dependent viscosity and buoyancy effects

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

Lessons Learned from Our Recent Research in Chemical Enhanced Oil Recovery (C-EOR) Methods

Contact Info

Product

Resources

About