High Temperatures-High Pressures, Vol. 37, pp. 61–70 Reprints available directly from the publisher Photocopying permitted by license only ©2008 Old City Publishing, Inc. Published by license under the OCP Science imprint, a member of the Old City Publishing Group Measurement of mass diffusion coefficients of saccharose solution and dimethyl ether in air using digital image holographic interferometry system† Mao-Gang He∗ , Qiu Zhong, Ying Zhang, Zhi-Gang Liu and Xinxin Zhang State Key Laboratory of Multiphase Flow in Power Engineering, Xi’an Jiaotong University, Xi’an 710049, P. R. China. Received: September 18, 2007. Revised: November 8, 2007. In Final form: November 30, 2007. An experimental system based on digital image holographic interferometry and a novel diffusion cell are designed and constructed for measuring mass diffusion coefficients. To verify the accuracy and reliability of the system, the mass diffusion coefficients of KCl in aqueous solution at temperatures of 291.8 K, 294.7 K, 298.8 K, 299.8 K, 305.4 K, 308.5 K and 315.2 K and at concentration 0.33 mol·L−1 were measured. The results show that the absolute average of relative deviations is 1.30% compared with the literature values. Then the mass diffusion coefficients of saccharose in aqueous solution at temperatures of 288.15 K, 298.15 K, 303.15 K, 313.15 K and 333.15 K and at concentration 0.1 mol·L−1 were measured. Furtherly, the mass diffusion coefficients of dimethyl ether (DME) in air at temperatures of 296.45 K, 300.45 K and 303.25 K were also measured. Keywords: Digital image holographic interferometry, digital image processing, dimethyl ether, DME, KCl, mass diffusion coefficients, saccharose. ∗ Corresponding author: E-mail: mghe@mail.xjtu.edu.cn † Paper presented at the 8th Asian Thermophysical Properties Conference, August 21–24, 2007, Fukuoka, Japan. 61 “HTHP” — “HTHP-ATPC-006” — 2008/2/20 — 12:08 — page 61 — #1 62 Mao-Gang He et al. 1 INTRODUCTION The mass diffusion coefficients express the diffusion capacity of matter. It is introduced by the second Fick’s law [1], which is the theoretical basis of experiment and theoretical estimation of mass diffusion coefficients. Currently, the experimental methods of assessment of diffusion coefficients mainly include [2–5]: diaphragm cells, Taylor’s dispersion, pulsed-field gradient nuclear magnetic resonance, dynamic light scattering and holographic interferometry. Comparing with other methods, holographic interferometry has many advantages such as short cycle, high accuracy and adopting it, the absolute measurement can be carried out directly. Holographic interferometry mainly includes twice exposal holographic interferometry [6], real-time holographic interferometry [7] and digital image holographic interferometry [8–10]. Sensitivity plates are used in the first two methods, especially in the real-time holographic interferometry which requires precise replacement of the plate after exposure. On the one hand, it increases the difficulty of the experimental operation; On the other hand, the accuracy of the experiments will be greatly reduced if the replacement of the plate is not precise. In addition, in real-time holographic interferometry, once the first exposure is completed, the reference time will be fixed. Therefore, it is difficult to choose the best thermodynamic state of experiments and under this condition, the experimental accuracy is impacted. The greatest improvement of digital image holographic interferometry is the abolition of sensitivity plate. The object beam and reference beam join together at the prism and then expose to the CCD camera directly. Digital image holographic interferometry gets the coherent beam in the way of time division. With the passage of time, the actual state of object changes and the interference fringes will change accordingly, which reflects the changes of the actual object’s state. Because there is a relation of one-to-one correspondence between the refractive index and concentration of the object, we can get the concentration changes by analyzing interference fringes gotten at different time and then get the values of mass diffusion coefficients. Over the past few years, with the developments of CCD camera and the enhancement of computer transmission speed, digital image holographic interferometry has gradually superseded the classic holographic interferometry for measuring mass diffusion coefficients [11–13]. In this work, an experimental system and a novel diffusion cell are designed and constructed for measuring mass diffusion coefficients. The mass diffusion coefficients of KCl in aqueous solution at concentration 0.33 mol·L−1 , the standard solution for the mass diffusion coefficients measurement, were measured to verify the accuracy and reliability of the system. Then the mass diffusion coefficients of saccharose in aqueous solution at temperatures ranging from 288.15 K to 338.15 K and at concentration 0.1 mol·L−1 were also measured, and the mass diffusion coefficients of dimethyl ether in air were also measured. “HTHP” — “HTHP-ATPC-006” — 2008/2/20 — 12:08 — page 62 — #2 Mass Diffusion Coefficient Measurement 63 2 THEORY Assuming that the diffusion is one-dimensional and the solution has clear interface, the equation (1) can be gotten from the second Fick’s law: ∞ c2l − c2u −z2 c(z, t) = c2u + √ exp (1) dz 4D12 t 2 π D12 t z =z Here D12 is the mass diffusion coefficient, z is the direction of diffusion, c2l and c2u are the concentration of the solution 2 at the lower half and at the upper half of the diffusion cell, respectively. The refractive index is a function of wavelength and solution concentration. When the wavelength is fixed, the refractive index changes with the solution concentration. When the solution can be considered as infinite infinitely diluted, the refractive index and concentration have linear relationship. The relationship between the phase change of object beam and the change of concentration is the following: j = k c2 l2π λ (2) Here k is the ratio between the change of refractive index and that of concentration, λ is the wavelength of laser, l is the width of diffusion cell, and ϕ is the distance between two extreme points of phase changes of object beam. zm , the distance between two extreme points of concentration changes, can be gotten and then the diffusion coefficient is expressed as: 2 D12 = zm t0 /t1 − 1 8t0 ln(t0 /t1 ) (3) Here, t0 and t1 are the times of getting two holograms. zm can be considered as ϕ. Therefore the key factor is to determine ϕ. In this paper, the value of ϕ is gotten by hologram’s digital image processing. The digital image processing mainly includes: collection and storage of images, pretreatment of hologram, frequency domain filtering of the digital image, interference fringes rebuilding and post-processing of hologram, etc. The common used image preprocessing methods include: image histograms improvement, images smooth filtering and images sharpening, etc. Frequency domain filtering is the key step of the digital image processing. After Fourier transform of holographic images, the frequency spectrum information can be gotten. Then the frequency spectrum information which reflects true phase of the object beam can be reserved. After inverse Fourier transform to the frequency spectrum information which is gotten at two different times, the holograms which only contain the true phase of the object beam can be obtained. Then the interference fringes are rebuilt. And the phase difference information of object beam is also obtained. The post-processing of hologram “HTHP” — “HTHP-ATPC-006” — 2008/2/20 — 12:08 — page 63 — #3 64 Mao-Gang He et al. mainly includes the unwinding of object beam’s phase difference and the true phase difference will be acquired. The distance between two extreme points of object beam’s phase difference can be acquired from above steps. 3 ESTABLISHMENT OF EXPERIMENTAL SYSTEM Based on the digital image holographic interferometry, the experimental system for measuring mass diffusion coefficients was designed and constructed. It consists of three parts: optical part for the interference, diffusion cell, and water bath thermostatic system. Figure 1 shows the optical system of the digital image holographic interferometry. The light source is supplied by a 633 nm laser. The beam is expanded to a diameter about 40 mm by the optical beam expander. Then the expanded beam goes through an iris diaphragm, and the central part of the beam which has symmetrical intensity is saved. A beam-splitter prism separates the light into a reference beam and an object beam. The object beam crosses the diffusion cell and falls onto another beam-splitter prism where the object and the reference beam join together. Finally both the object beam and the reference beam are projected onto the CCD camera and holograms collected and stored by the software are automatically acquired. In the experiment, all the optical parts should be installed on an optical shockproof apparatus to reduce the influence of outside shake. A novel diffusion cell is designed and constructed. Figure 2 shows its structure. In order to ensure a steady temperature of the experiment environment, a circulating water bath thermostatic system is designed (Figure 3). FIGURE 1 Optical layout of the digital image holographic interferometry system. “HTHP” — “HTHP-ATPC-006” — 2008/2/20 — 12:08 — page 64 — #4 Mass Diffusion Coefficient Measurement Gas Outlet 1 Fluid Inlet 3 Honeycomb 2 65 Optical Glasses 5 Fluid Outlet 4 FIGURE 2 Diffusion cell. FIGURE 3 Circulating water bath thermostatic system. Experimental results show that the thermostatic bath temperature is accurate to ±0.5 K. 4 TEST OF THE EXPERIMENTAL SYSTEM To verify the accuracy and reliability of the system, the mass diffusion coefficients of KCl in aqueous solution at concentration 0.33 mol·L−1 from 291 K to 315.2 K were measured. Table 1 lists the experimental results of KCl in aqueous solution at the temperature of 298.2 K and at concentration 0.33 mol·L−1 and literature values [14]. Comparing the experimental results with literature values, it can be seen that the absolute average of relative deviations is 1.30%. “HTHP” — “HTHP-ATPC-006” — 2008/2/20 — 12:08 — page 65 — #5 66 Mao-Gang He et al. zm [mm] t0 [s] t1 [s] D × 105 [cm2 ·s−1 ] 4.36 4.91 5.33 5.89 6.09 900 900 900 900 900 D ∗ × 105 (cm2 · s−1 ) D × 105 (cm2 · s−1 ) (|D ∗ −D |)/D (%) 1800 3000 5100 9000 10200 1.876 1.882 1.833 1.886 1.848 1.865 1.841 1.30 Note: D = experimental results; D ∗ = average of experimental results; D = litterature value. TABLE 1 Mass diffusion coefficients of KCl in aqueous solution at the temperature of 298.2 K. Choosing a certain time t0 as a reference, five holograms are shot at different times. The mass diffusion coefficients at those different times can be gotten by comparing the hologram shot at t0 with the ones shot at those different times. Then the average of those five mass diffusion coefficients measured at those five different times can be regarded as the mass diffusion coefficients of KCl in aqueous solution. Table 1 lists five mass diffusion coefficients measured at different times and the average mass diffusion coefficient is 1.865 × 10−5 cm2 · s−1. . The value provided by the literature is 1.841×10−5 cm2 ·s−1 . The absolute average of relative deviations is 1.30%. The experimental results of KCl in aqueous solution at temperatures of 291.8 K, 294.7 K, 298.2 K, 299.8 K, 305.4 K, 308.5 K and 315.2 K and at concentration 0.33 mol·L−1 are listed in Table 2 and shown in Figure 4. Through the measurement and by comparing the mass diffusion coefficients of KCl in aqueous solution, the accuracy and reliability of both theory and measurement system are verified. T [K] D × 10−5 [cm2 · s−1 ] 291.8 294.7 298.2 299.8 305.4 308.5 315.2 1.597 1.624 1.876 1.937 2.413 2.831 3.437 TABLE 2 Mass diffusion coefficients of KCl in aqueous solution. “HTHP” — “HTHP-ATPC-006” — 2008/2/20 — 12:08 — page 66 — #6 67 Mass Diffusion Coefficient Measurement 4.500 Experimental Results Polynomial Fit of Experimental Results D*10-5 ( cm2⋅s-1) 4.000 3.500 3.000 2.500 2.000 1.500 290.0 295.0 300.0 305.0 310.0 315.0 320.0 325.0 T (K) FIGURE 4 Mass diffusion coefficients of KCI in aqueous solution. T [K] D × 10−6 [cm2 · s−1 ] D × 10−6 [cm2 · s−1 ] 288.1 298.3 303.3 313.2 333.5 4.725 5.694 6.064 8.027 10.372 4.62 5.56 5.89 7.66 9.87 (|D − D |) (|D − D |)/ −6 2 −1 ×10 [cm · s ] D [%] 0.105 0.134 0.174 0.367 0.502 2.27 2.41 2.95 4.79 5.09 Note: D = experimental result; D = literature value [15]. TABLE 3 Mass diffusion coefficients of Saccharose in aqueous solution. 5 MASS DIFFUSION COEFFICIENTS OF SACCHAROSE SOLUTION To further verify the accuracy and reliability of the system, the mass diffusion coefficients of saccharose in aqueous solution at temperatures of 288.1 K, 298.3 K, 303.3 K, 313.2 K and 333.5 K and at concentration 0.10 mol·L−1 were also measured. The results of the experiments and literature values [15] were listed in Table 3 and shown in Figure 5. Table 3 and Figure 5 show that as experimental temperature rises, the values of mass diffusion coefficients increase rapidly. Comparing the experimental results with literature values, it can be seen that the experimental results of mass diffusion coefficients measured at the lower experimental temperatures such as 288.1 K, 298.3 K and 303.3 K have the smaller deviation. Whereas, the experimental results measured at the upper temperatures of 313.2 K and 333.5 K have the bigger deviation. From what has “HTHP” — “HTHP-ATPC-006” — 2008/2/20 — 12:08 — page 67 — #7 68 Mao-Gang He et al. 13.00 Literature Values Experimental Results D*10-6 /( cm2·s-1) 12.00 11.00 10.00 9.00 8.00 7.00 6.00 5.00 4.00 280.0 290.0 300.0 310.0 320.0 330.0 340.0 T( K) FIGURE 5 Mass diffusion coefficients of saccharose in aqueous solution. been discussed above, it can be concluded that a small temperature disturbance can cause a big deviation in the experimental result. From what has been analyzed above, the deviation of the experiments mainly comes from the following aspects: 1. the fluctuation of the interference fringes caused by vibration and the influence of indoor and outdoor light can reduce the definition of the holograms and infect the processing of images; 2. the instability of surrounding environment such as air flow will cause the drop of imaging quality. 6 MASS DIFFUSION COEFFICIENTS OF DIMETHYL ETHER IN AIR Using the above experimental system, the mass diffusion coefficients of Dimethyl Ether in air at the temperature of 296.45 K, 300.45 K and 303.25 K were also measured. The experimental results are listed in Table 4 and Figure 6. T [K] D × 10−6 [cm2 · s−1 ] 296.45 300.45 303.25 2.3923 2.9568 3.2827 TABLE 4 Mass diffusion coefficients of dimethyl ether in air. “HTHP” — “HTHP-ATPC-006” — 2008/2/20 — 12:08 — page 68 — #8 69 Mass Diffusion Coefficient Measurement 3.8 Experimental Results Polynomial Fit of Experimental Results D*10-6 /( cm2·s-1) 3.6 3.4 3.2 3.0 2.8 2.6 2.4 2.2 296 298 300 302 304 306 T(K) FIGURE 6 Mass diffusion coefficients of dimethyl ether in air. 7 CONCLUSION An experimental system based on digital image holographic interferometry and a novel diffusion cell were designed and constructed to measure mass diffusion coefficients. The theory of digital image holographic interferometry system and the processing of the digital image are introduced in detail. By the experimental system, the mass diffusion coefficients of KCl in aqueous solution at temperatures of 291.8 K, 294.7 K, 298.8 K, 299.8 K, 305.4 K, 308.5 K and 315.2 K and at concentration 0.33 mol·L−1 , the standard solution for mass diffusion coefficients measurement, were measured to verify the accuracy and reliability of the system. The measurement results show that the absolute average of relative deviations is 1.30% compared with the literature values. Then the mass diffusion coefficients of saccharose in aqueous solution at temperatures of 288.1 K, 298.3 K, 303.3 K, 313.2 K and 333.5 K and at concentration 0.10 mol·L−1 were also acquired, and finally the mass diffusion coefficients of dimethyl ether in air at the temperature of 296.45 K, 300.45 K and 303.25 K were also measured. ACKNOWLEDGEMENTS This work was supported by National Nature Science Fund Committee (NSFC No. 50676069), Program for New Century Excellent Talents in University (NCET-04-0925) and NSFC Fund for Creative Research Groups (No.50521604). The authors gratefully acknowledge them for financial support of this work. “HTHP” — “HTHP-ATPC-006” — 2008/2/20 — 12:08 — page 69 — #9 70 Mao-Gang He et al. REFERENCES [1] Welty J, Wicks C. E., Wilson R. E. and Rorrer G. L. Fundamentals of Momentum, Heat, and Mass Transfer (4th Ed). Singapore: John Wiley & Sons Inc; 2001. [2] Smith M. J. and Flowers T. H. Water Res. 36 (2002), 1423. [3] Matsunaga N., Hori M. and Nagashima A. Heat Transfer Asian Research. 31 (2002), 182. [4] Volkov V. I., Skirda V. D., Vasina E. N., Korotchkova S. A., Ohya H. and Soontarapa K. J. Membrane Sci. 138 (1998), 221. [5] Botton V. and Lehmann P. Int J Heat Mass Tran. 44 (2001), 3345. [6] Gabelmann-Gray L. and Fenichel H. Appl Optics. 18 (1979), 343. 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