Investigation of Packing Effect on Mass Transfer Coefficient in a Single Drop Liquid Extraction Column

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Iranian Journal of Chemical Engineering Vol. 7, No. 4 (Autumn), 2010, IAChE Investigation of Packing Effect on Mass Transfer Coefficient Z. Azizi, A. Rahbar, H. Bahmanyar Engineering College, Chemical Engineering Faculty, University of Tehran, Iran. Abstract Mass transfer coefficients of rising drops in spray and packed columns with random and structured packing in a liquid-liquid extraction operation were experimentally measured and the results compared. In this work, a high interfacial tension chemical system of toluene-acetic acid-water in a structured packed column is investigated. Results of random and structured packing show that random types are effective only for a drop size less than 9 mm, while the structured ones are shown to have a positive effect on mass transfer coefficient in a wide drop size range. Furthermore, structured packing proved to be slightly more effective than random packing in improving the mass transfer coefficient. The effect of drop size on mass transfer coefficient has also been studied in this work and the results showed that when the drop diameter increases, the mass transfer coefficient increases too. Finally, new correlations for the prediction of the mass transfer coefficient in both a random and structured packed column have been introduced which are in better agreement with the experimental data in comparison with those resulted from Newman, Kronig-Brink and Handlos-Baron models. Keywords: Liquid-Liquid Extraction, Mass Transfer Coefficient, Packed Column, Random Packing, Structured Packing 1- Introduction The prediction of dispersed phase mass transfer coefficient in liquid systems is faced with considerable uncertainty. There are many parameters that can affect the mass transfer coefficient, such as drop diameter, rising time, drop velocity, continuous phase mixing, presence of surfactants, breakage and coalescence of drops. Even if some of them can be neglected, theoretical statements cannot yet predict the exact amount of mass transfer coefficient; Thus it should be determined experimentally. The design of an extraction column for a given separation warrants the availability of reliable correlations for the prediction of overall mass transfer coefficients. Nowadays, the scale-up of extractors still depends on large quantities of pilot experiments and is both expensive and time-consuming. Measuring mass Corresponding author: hbahmany@ut.ac.ir

Azizi, Rahbar, Bahmanyar transfer coefficients by single drop experiments is a promising method to solve the above problem [1]. In this work, mass transfer coefficients are calculated in a vast drop size range for the system of toluene-acetic acid- water as a high interfacial tension chemical system [2]. It should be noted that for the purpose of studying the effect of packing on mass transfer, first some tests have been done in a column empty of packing(spray column), then in the same column containing Raschig ring packing, which was used in two different shapes of random and structured. Finally, two correlations based on previous models for the prediction of dispersed phase mass transfer coefficient in random and also structured packed column are introduced. 2- Previous work According to literature, three states for mass transfer of a drop moving through a column of continuous phase have always been discussed: 2.1- Stagnant spherical drop By assuming molecular diffusion and neglecting the continuous phase resistance, Newman [] presented an equation for unsteady state mass transfer inside a spherical drop. This equation is used for very small drops that are assumed to be stagnant. The Reynolds number for such drops is usually less than 10. 2 2 d 6 1 4Ddπ nt Kd = Ln exp 2 2 2 6t π n= 1 n d (1) 2.2- Circulating drops Kronig and Brink [4] presented a model based on circulating drops, which are due to the relative motion of the drop and continuous phase. They assumed that these circulations are laminar and the continuous phase resistance is negligible. The constant values of λn and Bn were reported by Elzinga and Banchero in 1959[5]. d 64λ Dt KOd = ln B exp 6t 8 2 n d n 2 n = 1 d (2) This equation is used for a Reynolds number range of 10 to 200. 2.- Oscillating drops Handlos and Baron [6] proposed a model for drops with high internal circulation. They considered that in a high Reynolds number (Re>200), drops were completely agitated or oscillated. By assuming eddy diffusion between internal toroidal stream lines and neglecting the continuous phase resistance, they presented the equation below, in which V t is the terminal velocity (in the present work, it is calculated by dividing the packing height by rising time): d 2 λnvt t KOd = Ln 6 Bn exp 6t n = 1 128d( 1+ κ ) () Further research has been done in order to develop modified equations. For instance, Calderbank and Korchinski [7] proposed an alternative approach involving the use of an enhanced molecular diffusivity, R Dd, (also referred to as effective diffusivity) in the 4 Iranian Journal of Chemical Engineering, Vol. 7, No. 4

Investigation of Packing Effect on Mass Transfer Coefficient equation of Kronig and Brink with the dimensionless enhancement factor, R = 2.25: 1 2 2 d 4π RDt d Kd = Ln 1 1 exp 2 6t d (4) Photographic study of oscillating drops by Rose and Kintner shows that the toroidal circulation patterns postulated by Handlos and Baron deviate from reality. When the drop oscillates, the surface area changes with time[8]. Furthermore, the surface active agents affect the internal circulation of drops and consequently the amount of mass transfer [9]. - Experimental setup A Pyrex column with an inside diameter of 7.2 cm and height of 65 cm is used as the liquid-liquid extraction contactor. In its bottom there is a discharge valve and also a glass entrance nozzle which can be used to connect to different nozzles for dispersed phase inlet. Fig. 1 shows a schematic diagram of the apparatus. 4- Chemical system The liquid system studied was toluene-acetic acid -water (high interfacial tension.) Mass transfer direction was from dispersed to continuous phase, distilled water saturated with toluene as the continuous phase, and toluene saturated with distilled water with a particular percentage of acetic acid as the dispersed phase formed the applied system. The physical properties of this system are tabulated in Table 1. 1. Overhead Tank (Dispersed Phase) 2 &. Dispersed Phase Control Valves 4. Rotameter 5. Nozzle 6. Column 7. Packing Area 8. Drop Collection Valves Figure 1. Schematic diagram of the apparatus The viscosities of both phases are measured by a laboratory LAUDA viscometer. The densities are determined by use of a scale in order of 0.0001 g. The interfacial tension values are based on literature. D d (Molecular diffusivity of mixture) is calculated from the Wilke-Chang correlation [10]. Table1. Physical property of system (water-acetic acid-toluene) c (cp)μ d (cp)μ ρ d (g/cm ) ρ (dyn/cm)σ D d (cm 2 c (g/cm ) /s) 0.64 0.91 0.858 0.996 22 0.0000227 Iranian Journal of Chemical Engineering, Vol. 7, No. 4 5

Azizi, Rahbar, Bahmanyar 5- Calculation of mass transfer coefficients 5.1- Local efficiency Assuming c 0, c and c* as the solute concentration in the primary drop (before contact), concentration in a specific position and the concentration in equilibrium with continuous phase respectively, local efficiency is calculated from the following equation: c E = c 0 0 c c (5) The acetic acid content of the dispersed phase (c) was determined by a titration technique using normal NaOH. Because the continuous phase resistance is negligible, c* can be assumed zero. 5.2- Determination of mean drop diameter By taking several photographs of rising drops while considering a background reference size inside the column, the mean drop diameter was calculated using the following equation d nd i i 2 = 2 nd i i (6) A high-resolution Powershot G9 type of camera was used followed by analysis using Photoshop software. 5.- Mass transfer coefficient From the mass balance for the dispersed phase we get the experimental mass transfer coefficient [11]: d Kd = ln E 6t ( 1 ) (7) In the above equation, t is the rising time of a drop which is determined by use of a stop watch and measuring the time of a single drop from the moment it leaves the nozzle until being collected from the valve. By replacing the local efficiency (E) and mean drop diameter (d) which are described in previous sections and also rising time (t) in this formula, the experimental mass transfer coefficient is obtained. 6- Results and discussion 6.1- Results of spray column In this work, the drops Reynolds numbers were high (higher than 170 on average) and the experimental data is supposed to follow the Handlos-Baron s model. The results of the mass transfer coefficient in a spray column for heights of 10 and 15 cm (from the top of nozzle) versus drop size are shown in Figs. 2 and. It is obvious that when the drop size increases, the mass transfer coefficient increases too. This can be due to the more internal circulation a drop gains by enlargement. By comparison between these figures it is found that when the height of sampling increases, mass transfer coefficient decreases, because the driving force of the mass transfer is reduced along the column. Experimental results are also compared with theoretical models in these figures. It is observed that experimental results are between two models of Kronig-Brink and Handlos-Baron, and are much closer to Handlos-Baron, which means the drops are closer to Handlos-Baron s condition, because they are relatively large with high Reynolds number and, due to these conditions, the experimental results are found in the vicinity of those calculated by Handlos-Baron s 6 Iranian Journal of Chemical Engineering, Vol. 7, No. 4

Investigation of Packing Effect on Mass Transfer Coefficient model. Handlos-Baron overpredicts the data because it is based on fully turbulent internal circulations, which in practice the drops did not reach this condition, and they experience a transition state between laminar and fully turbulent. Figure 2. Mass transfer coefficients of dispersed phase versus drop diameter for height of 10 cm (Spray column) circular structure with a diameter equal to an internal diameter of the extraction column. 6.2.1- Results of random packed column In this experiment, the drops were moving through the packing without any breakage or coalescence. Results of mass transfer coefficient in this packed column for heights of 10 and 15 cm (from the top of nozzle) versus drop diameter are shown in Figs. 4 and 5. Although the experimental results are again almost close to those calculated by Handlos-Baron s model, generally they do not have good agreement with the theoretical models. Figure 4. Mass transfer coefficients of dispersed phase versus drop diameter for height of 10 cm (Random packed column) Figure. Mass transfer coefficients of dispersed phase versus drop diameter for height of 15 cm (Spray column) 6.2- Investigation of packing effect Results of packing usage for both types are presented in the following sections. In this research, a Raschig ring with an inside diameter of 1.6 cm and height of 2 cm was used. For random packed column the packing formed a bed with a height of 4 cm, and for structured packed column this packing was put on top of each other in two rows in a Figure 5. Mass transfer coefficients of dispersed phase versus drop diameter for height of 15 cm (Random packed column) Iranian Journal of Chemical Engineering, Vol. 7, No. 4 7

Azizi, Rahbar, Bahmanyar Fig. 6 shows the results of spray and random packed column in comparison. In this figure, dispersed phase mass transfer coefficients versus drop size for heights of 10 and 15 cm are presented. We can conclude from these figures that, although for small drops (less than about 9 mm in size) mass transfer coefficient has increased 10%, for larger ones packing proved to be ineffective. It means that if we consider the mass transfer coefficient as a function of drop size or dispersed phase Reynolds number, use of random packing has no positive effect on mass transfer coefficient out of a particular range of drop size or Reynolds number. Their relative invisible breakage makes the larger drops become smaller and this fact may have caused the decrease of mass transfer coefficients at this drop size range. It should be noted that while the drop size decreases, internal circulation and consequently mass transfer coefficient decreases, too. 6.2.2- Results of structured packed column As illustrated in Figs. 7 and 8, by the increase of drop diameter, mass transfer coefficient increases as well. Fig. 9 shows that the use of structured packing can improve the mass transfer coefficient up to 11%. Considering Fig. 10 we can state that structured packing is slightly more effective than random packing in a vast drop size range. (a) h=10 cm (b) h=15 cm Figure 6. Comparison of mass transfer coefficients in spray and random packed column for the same heights, (a) h=10 cm, (b)h=15 cm Figure 7. Mass transfer coefficients of dispersed phase versus drop diameter for height of 10 cm (Structured packed column) Figure 8. Mass transfer coefficients of dispersed phase versus drop diameter for height of 15 cm (Structured packed column) 8 Iranian Journal of Chemical Engineering, Vol. 7, No. 4

Investigation of Packing Effect on Mass Transfer Coefficient Figure 9. Comparison of mass transfer coefficients in spray and structured packed column for the same heights(h=15 cm) indicates that drops are located in a transition state between laminar and fully turbulent conditions. By taking this point into consideration, we can use the combination of these models in order to better predict the experimental results. Thus, The following equations are introduced for prediction of mass transfer coefficients of rising drops in random (Eq. 8) and structured (Eq. 9) packed H K columns where K d, K d are the mass transfer coefficients of Handlos-Baron and Kronig- Brink, respectively. H K = 0. 02K + 9K K df d d (8) H K = 0. 02K + 9K K df d d (9) Figure 10. Comparison of mass transfer coefficients in random and structured packed column for heights of 15 and 20cm 7- Introducing correlations for dispersed phase mass transfer coefficient of the applied system As discussed, theoretical models have failed to predict the experimental mass transfer coefficients. The reason is that, in extraction columns, drops swarm and the mass transfer of one drop is influenced by another. Therefore, theoretical solutions involving simplifying assumptions are not able to predict the exact conditions. According to the experimental results of packed column, the values of mass transfer coefficients are between those predicted by two models of Kronig-Brink and Handlos-Baron. This For instance, the results of these models have been shown in comparison with experimental ones in Figs. 11 and 12 for one experimental height. The dimension of the mass transfer coefficient in the tables is 10-5 m/s. It is obvious that experimental results can be predicted by the proposed correlations precisely, while the error range reproduced by Kronig-Brink is almost 90 percent, and 80 percent for Handlos-Baron s model. Figure 11. Comparison of random packed experimental results with calculated values (h=15cm) Iranian Journal of Chemical Engineering, Vol. 7, No. 4 9

Azizi, Rahbar, Bahmanyar closer to the Handlos-Baron model than random packed column ones, due to the more internal circulation a drop gains from moving through structured packing. The introduced correlations proved to be effective for this system. Accordingly, the prediction of mass transfer coefficients in the form of such correlations (combination of Handlos-Baron and Kronig-Brink mass transfer coefficients) seems to be useful with high accuracy. Figure 12. Comparison of structured packed experimental results with calculated values (h=15cm) 8- Conclusions This work has been done for the purpose of investigation of drop size and packing usage effects on mass transfer coefficients. It is obvious that theoretical models do not provide a reliable prediction for dispersed phase mass transfer coefficient. Thus, to reach better models, more experimental work is necessary. For the case of random packed column, mass transfer coefficient has increased 10% for small drops (less than about 9 mm in size), but for larger ones packing usage has no positive effects. This means that random Rachig ring is effective in a particular range of drop size or dispersed phase Reynolds number, and out of this range the mass transfer coefficients are not affected, while using structured packing improves the dispersed phase mass transfer coefficients in a whole range of measured drop sizes. Also, for the purpose of having a higher mass transfer coefficient the use of structured packing is recommended and it has been shown to be more effectual than random packing. Experimental data resulted from structured packed column is much 9- Nomenclature B n Constants of Eqs. (2), () c c 0 * c 2 Solute concentration in dispersed Kg m phase ( ) Initial concentration of solute in dispersed phase ( Kg m ) Equilibrium concentration of solute Kg m in dispersed phase ( ) d Mean drop diameter ( m ) D d Molecular diffusivity ( m 2 s) * E Local efficiency ( = ( c c) ( c ) h Height above nozzle ( m ) 0 0 c K d Dispersed phase mass transfer coefficient ( m s) K od Overall dispersed phase mass transfer coefficient ( m s) R Enhancement factor for mass transfer Re Reynolds number ( = ρ c Vd μ c ) t Contact time ( s ) V t Greek symbols Terminal velocity of a single drop ( m s) γ Interfacial tension ( N m) 10 Iranian Journal of Chemical Engineering, Vol. 7, No. 4

Investigation of Packing Effect on Mass Transfer Coefficient κ Ratio of dispersed phase viscosity to continuous phase viscosity ( = μ d μ c ) λ n Constants of Eqs. (2), () μ Viscosity ( Pa. s) ρ Density ( Kg m ) Subscripts c Continuous phase d Dispersed phase References [1] Jie, Y., Weiyang, F. and Huai, Z., "Effect of packing on drop swarms extraction of high viscosity solvents" Hydrometallurgy, Vol. 78, No. 1-2, pp. 0-40, (2005). [2] Misek, T., "Recommended systems for liquid extraction studies, European Federation of Chemical Engineers" I. Chem. E. London, Vol. 1, P. 1, (1978). [] Newman, A. B., "The drying of porous solids: Diffusions and surface emission equations" Trans. Am. Inst. Chem. Eng., Vol.27, pp.20-220, (191). [4] Kronig, R. and Brink, J. C., "On the theory of extraction from falling drops" Appl. Sci. Res., A2, pp.142-154, (1950). [5] Elzinga, E.R. and Banchero, J.T., "Film coefficients for heat transfer to liquid drops" Chem. Eng. Prog. Symp. Ser., Vol.55, No. 29, pp.149-161, (1959). [6] Handlos, A. E. and Baron T., "Mass and heat transfer from drops in liquid liquid extraction". AIChE J., Vol., pp. 127 16, (1957). [7] Calderbank, P. H. and Korchinsky, I. J. O., "Circulation in liquid drops: A heat transfer study", Chem. Eng. Sci. 6, 65, (1956). [8] Rose, P. M. and Kintner, R. C. "Mass transfer from large oscillating drops" AIChE J., Vol.12, pp. 50 54, (1966). [9] Kumar, A. and Hartland, S., "Correlations of mass transfer coefficients in single drop systems and liquid-liquid extraction columns" Trans. Inst. Chem. Eng., Vol.77, pp. 72-84, (1999). [10] Bird, R.B., Stewart, W.E. and Lightfoot, E.N., Transport phenomena, Wiley, New York, pp. 50, (2001). [11] Godfrey, J. C. and Slater, M. J., Liquidliquid extraction equipment, Chapter 4, John Wiley & Sons, (1994). Iranian Journal of Chemical Engineering, Vol. 7, No. 4 11