A Homogeneous Model for Mass Transfer Enhancement in Gas-Liquid-Liquid Systems

Chawla, Hitesh; Khanna, Rajesh; Nigam, K.D.P.; Adesina, Adesoji A.

doi:10.1080/00986440701555431

Cited by 3 publications

(8 citation statements)

References 16 publications

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“…The maximum solubilization enhancement factor (u s ) effected by various hydrotropes for alizarin range between 4.16 and 103.27 (Chawla et al, 2008). The highest value of 103.27 (u s ) has been observed in the case of KPTS at a system temperature of 333 K (Table V).…”

mentioning

confidence: 81%

Enhancement of Solubility and Mass-Transfer Coefficient of 1,2-Dihydroxy-9,10-Anthraquinone (Alizarin) Through Hydrotropy

Prakash¹,

Kumar

Gandhi

2009

Chemical Engineering Communications

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The effect of hydrotropes potassium p-toluene sulfonate (KPTS), citric acid, and nicotinamide on the solubility and mass-transfer coefficient of 1,2-dihydroxy-9,10-anthraquinone (alizarin) was studied. Solubility studies were carried out under a wide range of hydrotrope concentrations (0 to 3.0 mol Á L À1 ) and different system temperatures (303 to 333 K). It was observed that the solubility and mass-transfer coefficient of alizarin increases with an increase in hydrotrope concentration and system temperature. The maximum enhancement factor, the ratio of the value of solubility in the presence and absence of a hydrotrope, was determined for all experiments under study. The effectivity of hydrotropes was measured by the determination of the Setschenow constant, K s . The order of effectiveness of various hydrotropes based on K s values is potassium p-toluene sulfonate > citric acid > nicotinamide.

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mentioning

confidence: 81%

Enhancement of Solubility and Mass-Transfer Coefficient of 1,2-Dihydroxy-9,10-Anthraquinone (Alizarin) Through Hydrotropy

Prakash¹,

Kumar

Gandhi

2009

Chemical Engineering Communications

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“…J. O. Pinho and S. S. Alves deduced by other authors, with the considerable advantage of requiring no adjustable parameters. Thus, simulation of E using Equation (17) by Chawla et al (2008) is included in Figure 13, making it clear that the equation cannot account for the magnitude of the enhancement: Figure 14 extends comparison of simulated values of E with experimental ones to higher holdups of dodecane (up to 20%) at v S ¼ 2.04 Â 10 À3 m s À1 and N ¼ 6.67 s À1 . It can be seen that for holdups higher than 10%, the simulation ceases to follow the trend of the experimental points.…”

Section: Non-spreading Systemmentioning

confidence: 96%

“…One way of mathematically expressing these two mechanisms is to calculate the enhancing factor as a product of two factors one, E S , expressing an enhancing mechanism, the other E R expressing a depressing mechanism: The enhancing mechanism is required to explain the initial increase of the enhancing factor E as / increases. This is known as the shuttle effect (Brilman et al, 2000;Zhang et al, 2006;Chawla et al, 2008). Droplets, which are one to two orders of magnitude smaller than bubbles, may have enough energy to reach the interface and directly contact the gas [ Figure 4(b)].…”

Section: Non-spreading Systemmentioning

confidence: 99%

“…It is apparent that different mathematical models are required to simulate the shape of curves n and s. Most models in the literature assume non-spreading GLL systems and rely on the so-called shuttle mechanism to explain mass transfer enhancement (Chawla et al, 2008). According to this mechanism (Brilman et al, 2000), dispersed liquid droplets (which are much smaller than the gas bubbles) frequently travel from the liquid bulk to the stagnant layer around the bubbles, which, in the case of solute absorption, is richer in solute than the liquid bulk.…”

Section: Introductionmentioning

confidence: 99%

“…Both the simple model of Bruining et al (1986) and the improved models of Littel et al (1994) and of Chawla et al (2008), mathematically describe the effect of this mechanism on gas liquid mass transfer and lead to E ¼ f(/) curves as shown in Figure 2.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Semi-Empirical Modeling of Gas–Liquid Mass Transfer in Gas–Liquid–Liquid Systems in Stirred Tanks

Pinho

Alves

2014

Chemical Engineering Communications

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Two semi-empirical models of gas-liquid mass transfer in gas-liquid-liquid systems are presented, one for the case where the dispersed liquid phase has a positive spreading coefficient S > 0, the other for S < 0. The models are based on mathematical expressions inspired by assumed mass transfer mechanisms, which are different depending on the oil spreading characteristics. Model simulations compare well with experimental data (up to oil phase holdup / $ 0.1), managing to simulate the shape of the experimental curves of oxygen mass transfer enhancement factor E vs. / for the air-water-heptane (S > 0) and air-waterdodecane (S < 0) systems, better than other models available in the literature.

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The Use of Computational Fluid Dynamics in the Analysis of Gas-Liquid-Liquid Reactors

Gakingo¹,

Louw²

2022

Alternative Energies and Efficiency Evaluation

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Gas–liquid–liquid reactors are typically found in bioprocess setups such as those used in alkane biocatalysis and biological gas stripping. The departure of such reactors from traditional gas–liquid setups is by the introduction of a secondary (dispersed) liquid phase. The introduction of the latter results in complicated hydrodynamics as observed through measurements of velocity fields, turbulence levels and mixing times. Similarly, changes in mass transfer occur as observed through measurements of gas hold up, bubble diameters and the volumetric mass transfer coefficients. The design and analysis of such reactors thus requires the adoption of an approach that can comprehensively account for the various observed changes. This chapter proposes Computational Fluid Dynamics as an approach fit for this purpose. Key considerations, successes and challenges of this approach are highlighted and discussed based on a review of previously published case studies.

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A Homogeneous Model for Mass Transfer Enhancement in Gas-Liquid-Liquid Systems

Cited by 3 publications

References 16 publications

Enhancement of Solubility and Mass-Transfer Coefficient of 1,2-Dihydroxy-9,10-Anthraquinone (Alizarin) Through Hydrotropy

Enhancement of Solubility and Mass-Transfer Coefficient of 1,2-Dihydroxy-9,10-Anthraquinone (Alizarin) Through Hydrotropy

Semi-Empirical Modeling of Gas–Liquid Mass Transfer in Gas–Liquid–Liquid Systems in Stirred Tanks

The Use of Computational Fluid Dynamics in the Analysis of Gas-Liquid-Liquid Reactors

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