Stability and thermal conductivity of nanofluids of tin dioxide synthesized via microwave-induced combustion route

Habibzadeh, Sajjad; Kazemi‐Beydokhti, Amin; Khodadadi, Abbas Ali; Mortazavi, Yadollah; Omanovic, Sasha; Shariat-Niassar, Mojtaba

doi:10.1016/j.cej.2009.11.007

Cited by 102 publications

(38 citation statements)

References 35 publications

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“…Among the various types of nanoparticles, tin dioxide, which has excellent chemical and physical stability, is not widely used, although it is a cheap and commercially available mineral product. In addition, our previous work (Habibzadeh et al, 2010) on tin dioxide nanofluid confirms that these three factors have a significant effect on stability and the thermal conductivity ratio.…”

Section: Introductionmentioning

confidence: 92%

“…The BET surface area measurement was also carried out by nitrogen adsorption after degassing of the samples at 300 C for 2 hours, using a Quantachrome CHEMBET-3000 apparatus. All other information was mentioned in our previous work (Habibzadeh et al, 2010).…”

Section: Experimental Preparation Of Sno 2 Nanoparticlesmentioning

confidence: 99%

“…The hydration forces between nanoparticles increase as the pH of the solution departs from the IEP, which results in the enhanced mobility of nanoparticles in the suspension and the colloidal particles become more stable (Habibzadeh et al, 2010;Goharshadi et al, 2013). At high and low levels of solution pH, stability has a tendency to decrease.…”

Section: Effect Of Selected Factors On the Zeta Potential Of The Nanomentioning

confidence: 99%

“…Thermal conductivity measurements were performed by a THW technique, which is known to be an accurate method for determining the thermal conductivity of fluids. The details are elaborated elsewhere (Habibzadeh et al, 2010).…”

Section: Measurement Of the Stability And Thermal Conductivity Of Thementioning

confidence: 99%

“…In this study, the SnO 2 nanoparticles were synthesized through a novel technique named chloride solution combustion synthesis (CSCS) and its associated nanofluids were prepared by using the two-step method described elsewhere (Zeinali Heris et al, 2007;Habibzadeh et al, 2010). In addition, microwaves were used for fast and homogeneous heating of the combustion synthesis solutions in the synthesis of SnO 2 nanoparticles.…”

Section: Experimental Preparation Of Sno 2 Nanoparticlesmentioning

confidence: 99%

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PREDICTION OF STABILITY AND THERMAL CONDUCTIVITY OF SnO2NANOFLUID VIA STATISTICAL METHOD AND AN ARTIFICIAL NEURAL NETWORK

Kazemi‐Beydokhti

Namaghi

Asgarkhani

et al. 2015

Braz. J. Chem. Eng.

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-Central composite rotatable design (CCRD) and artificial neural networks (ANN) have been applied to optimize the performance of nanofluid systems. In this regard, the performance was evaluated by measuring the stability and thermal conductivity ratio based on the critical independent variables such as temperature, particle volume fraction and the pH of the solution. A total of 20 experiments were accomplished for the construction of second-order polynomial equations for both target outputs. All the influential factors, their mutual effects and their quadratic terms were statistically validated by analysis of variance (ANOVA). According to the results, the predicted values were in reasonable agreement with the experimental data as more than 96% and 95% of the variation could be predicted by the respective models for zeta potential and thermal conductivity ratio. Also, ANN proved to be a very promising method in comparison with CCD for the purpose of process simulation due to the complexity involved in generalization of the nanofluid system.

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Section: Introductionmentioning

confidence: 92%

Section: Experimental Preparation Of Sno 2 Nanoparticlesmentioning

confidence: 99%

Section: Effect Of Selected Factors On the Zeta Potential Of The Nanomentioning

confidence: 99%

Section: Measurement Of the Stability And Thermal Conductivity Of Thementioning

confidence: 99%

Section: Experimental Preparation Of Sno 2 Nanoparticlesmentioning

confidence: 99%

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PREDICTION OF STABILITY AND THERMAL CONDUCTIVITY OF SnO2NANOFLUID VIA STATISTICAL METHOD AND AN ARTIFICIAL NEURAL NETWORK

Kazemi‐Beydokhti

Namaghi

Asgarkhani

et al. 2015

Braz. J. Chem. Eng.

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Marked Cofuel Tuning of Combustion Synthesis Pathways for Metal Oxide Semiconductor Films

Wang

Leonardi

Huang

et al. 2019

Adv Elect Materials

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tors (TFTs) because of their high optical transparency, large electron mobility, mechanical flexibility, and high electrical uniformity over large areas. [1] During the past few years, multiple display manufacturers have implemented large-scale production of active-matrix organic lightemitting diode and liquid crystal displays driven by amorphous indium gallium zinc oxide (a-IGZO) TFTs. [2] While currently the IGZO TFTs are being fabricated using conventional sputtering and subtractive photolithographic processes, a-MO semiconductors are potentially solutionprocessable and printable, which should reduce fabrication costs and enable TFT array/circuit printing on flexible plastic substrates. [3] However, solution routes to high-performance amorphous as well as polycrystalline MO films typically require high temperature annealing (>400 °C) of the printed/coated MO precursor films to effect sufficient metal-oxygen-metal (M-O-M) lattice densification and impurity elimination for acceptable charge transport and TFT performance stability. [4] In pioneering studies, complementary lowthermal budget processes have reduced film processing temperatures to as low as 150-250 °C, depending on the particular MO. [5] However, the electron mobilities achieved at these low temperatures (150-250 °C) for technologically relevant IGZO devices on 300 nm SiO 2 /Si wafers are far lower (1-3 cm 2 V −1 s −1 ) than those achieved for Ga-free compositions. Low temperaturefabricated MO TFTs typically suffer from inferior bias-stress stability (large threshold voltage shifts), which is currently the greatest obstacle to their commercialization. Furthermore, although some low-thermal budget processes have provided a significant stepping stone in MO performance evolution, they also have limitations. For example, deep ultraviolet processes accelerate the degradation of plastic substrates and must be carried out under inert atmosphere to prevent reactive/toxic ozone formation, [5b] while approaches based on metal alkoxide precursors require labor-intensive, costly syntheses of unstable organometallic precursors for all required metal ions. [6] Another approach to low-temperature MO semiconductor film processing is combustion synthesis (CS), which has traditionally employed an exothermic reaction between an oxidizer and a fuel in a liquid metal-organic precursor formulation. [5d,7] Thin-film combustion synthesis (CS), driven by the exothermic reaction of liquid fuel+oxidizer+metal precursors is an important methodology for growing smooth, transparent, amorphous, and polycrystalline metal oxide (MO) films at low temperatures. In optimized MO CS precursors, the fuel combines a primary coordinating ligand [e.g., acetylacetone (AcAcH)] with an additional cofuel. Several studies suggest a structure-property relationship between the resulting MO film composition/microstructure and macroscopic charge transport characteristics. However, the structural and compositional details of solution-phase precursors remain poorly defined. Here a diverse serie...

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Photocatalytic Properties of 1D TiO₂ Nanostructures Prepared from Polyacrylamide Gel–TiO₂ Nanopowders by Hydrothermal Synthesis

et al. 2017

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In the present study, the polyacrylamide gel (PAG) route was employed to synthesize a nanosized TiO 2 powder (PAG-TiO 2 ). The resultant PAG-TiO 2 and commercial TiO 2 (P25-TiO 2 ) nanopowders were then used as the starting materials to hydrothermally synthesize one-dimensional (1D) TiO 2 nanostructures (nanotubes and nanorods). Scanning electron microscopy (SEM), transmission electron microscopy (TEM), Brunauer-Emmett-Teller (BET) analysis, X-ray diffraction (XRD), and thermogravimetric analysis (TGA) were used to characterize the synthesized TiO 2 nanostructures. The TiO 2 nanopowders, [a]

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Stability and thermal conductivity of nanofluids of tin dioxide synthesized via microwave-induced combustion route

Cited by 102 publications

References 35 publications

PREDICTION OF STABILITY AND THERMAL CONDUCTIVITY OF SnO2NANOFLUID VIA STATISTICAL METHOD AND AN ARTIFICIAL NEURAL NETWORK

PREDICTION OF STABILITY AND THERMAL CONDUCTIVITY OF SnO2NANOFLUID VIA STATISTICAL METHOD AND AN ARTIFICIAL NEURAL NETWORK

Marked Cofuel Tuning of Combustion Synthesis Pathways for Metal Oxide Semiconductor Films

Photocatalytic Properties of 1D TiO₂ Nanostructures Prepared from Polyacrylamide Gel–TiO₂ Nanopowders by Hydrothermal Synthesis

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Stability and thermal conductivity of nanofluids of tin dioxide synthesized via microwave-induced combustion route

Cited by 102 publications

References 35 publications

PREDICTION OF STABILITY AND THERMAL CONDUCTIVITY OF SnO2NANOFLUID VIA STATISTICAL METHOD AND AN ARTIFICIAL NEURAL NETWORK

PREDICTION OF STABILITY AND THERMAL CONDUCTIVITY OF SnO2NANOFLUID VIA STATISTICAL METHOD AND AN ARTIFICIAL NEURAL NETWORK

Marked Cofuel Tuning of Combustion Synthesis Pathways for Metal Oxide Semiconductor Films

Photocatalytic Properties of 1D TiO2 Nanostructures Prepared from Polyacrylamide Gel–TiO2 Nanopowders by Hydrothermal Synthesis

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Photocatalytic Properties of 1D TiO₂ Nanostructures Prepared from Polyacrylamide Gel–TiO₂ Nanopowders by Hydrothermal Synthesis