Self-diffusivity of polyvalent ions in silicate liquids

Self-diffusivity of polyvalent ions in silicate liquids

Journal of Non-Crystalline Solids 253 (1999) 76±83 www.elsevier.com/locate/jnoncrysol Self-di€usivity of polyvalent ions in silicate liquids Olaf Cl...

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Journal of Non-Crystalline Solids 253 (1999) 76±83

www.elsevier.com/locate/jnoncrysol

Self-di€usivity of polyvalent ions in silicate liquids Olaf Clauûen, Sandra Gerlach, Christian R ussel * Otto-Schott-Institut, Friedrich-Schiller-Universit at Jena, Fraunhoferstraûe 6, 07743 Jena, Germany

Abstract Self-di€usion coecients of tin, lead, arsenic, antimony, bismuth, vanadium, chromium, manganese, iron, nickel, cobalt, zinc, cadmium, copper and cerium were measured as a function of temperature in a borosilicate glass liquid. Self-di€usion coecients of iron were also measured in some alkali±magnesia±silicate, alkali±lime±silicate and alkali± lime±alumosilicate liquids. The method used was the square-wave voltammetry, a fast potentiostatic pulse method. In the temperature range of 700±1500°C, a linear correlation between log D and 1/T in which D is the di€usivity and T is sample temperature is observed for all polyvalent elements and compositions studied. The self-di€usion coecients of Cu‡ are up to six orders of magnitude larger than those of Cr6‡ . Self-di€usion coecients of iron in liquids possessing larger alkali content and hence smaller viscosity were larger. At all temperatures studied, the self-di€usion coecients of iron decrease from lithium to cesium. However, if liquids of constant viscosity are compared, the self-di€usion coef®cients of iron decrease with decreasing size of the alkali cation, increasing alkali concentration and decreasing alumina content. This decrease is explained by a structural model for the incorporation of iron. Ó 1999 Elsevier Science B.V. All rights reserved.

1. Introduction Self-di€usion coecients of glasses and glass liquids have been measured by tracer methods [1± 11]. Here, besides the main components, also the di€usion of some polyvalent compounds, such as iron has been studied [8±11]. Redox properties of polyvalent ions and the kinetics of redox equilibration have an e€ect on the physical properties of glass liquids and the ®nal glass product. The thermodynamics of redox equilibria may be studied by either equilibration experiments or electrochemical methods [12±22]. The latter is enabled by the electric conductivity of network modi®er containing glass liquids at temperatures greater than the glass

* Corresponding author. Tel.: +49-3641 948 501; fax: +493641 948 502; e-mail: [email protected]

transition temperature, Tg . However, voltammetric methods also enable the determination of self-diffusion coecients of polyvalent elements at high temperatures [12,13,18±27]. Electrochemical methods provide a possibility to determine the di€usivity of components which can be reduced or oxidized in a certain potential range and at temperatures >Tg . Self-di€usion coecients of polyvalent ions play a role during kinetically determined processes of equilibrating and cooling of glass melts. Other properties such as nucleation and crystallization as well as the corrosion of metals in glass liquids may also be controlled by the di€usion of polyvalent elements. The Stokes±Einstein equation provides a theoretical dependence of the self-di€usion coecient upon viscosity. Self-di€usion coecients of various polyvalent elements measured in the same liquid at the same temperature, di€er by up to six orders of magnitude [22,24,27,28].

0022-3093/99/$ ± see front matter Ó 1999 Elsevier Science B.V. All rights reserved. PII: S 0 0 2 2 - 3 0 9 3 ( 9 9 ) 0 0 3 4 5 - 2

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It should be mentioned that the quantitative determination of polyvalent elements [18,25,26] can also be carried out directly in the glass liquid using electrochemical methods.

Electron transfer reactions can be studied using voltammetric methods. In the case of polyvalent elements, the electrode reaction can be described as follows: …1†

The voltammetric method used in our experiments is the square-wave voltammetry, a fast pulse method. The applied potential is a staircase ramp, upon which is superimposed a rectangular wave of comparably short pulse time (1 6 s 6 500 ms) and high voltage amplitude (50 6 DE 6 250 mV). The current is measured at the end of every half wave and then di€erentiated [29,30]. If the reactions of polyvalent elements during voltammetric measurements are controlled by di€usion, the peak currents, DIP , of the current as a function of the potential obtained are proportional to the total concentration of the polyvalent element, c0 , the number of the electrons transferred, n, and the self-di€usion coecient, D [29,30]. The peak currents are given by Eq. (2): DIP ˆ 0:31 pÿ1=2 Rÿ1 T ÿ1 A c0 D1=2 n2 F 2 DE sÿ1=2 ; …2† where A is the area of the working electrode and c0 the total concentration of the polyvalent element. The temperature dependence of the self-di€usion coecients is usually described using Arrhenius equation. D ˆ D0 exp…ÿED =R T †

kT : 6p g r

…4†

3. Experimental

2. Theory

A…x‡n†‡ ‡ n eÿ ¢ Ax‡ :



77

…3†

with ED is the activation energy of the di€usion process. In aqueous or organic solutions, the self-di€usion coecient is dependent on the viscosity of the solution, g, and the radius of the di€using species, r, according to Stokes±Einstein equation [31]

The measurements were carried out in a resistance heated furnace. In its middle, a platinum crucible containing the glass liquid was located. From the top, three electrodes were dipped into the liquid: a platinum wire (diameter: 1 mm) as the working electrode, a platinum plate (size: about 2 cm2 ) as the counter electrode and a zirconia probe ¯ushed with air as the reference electrode. All potentials mentioned in this paper are referenced to the zirconia probe. Electronics were constructed, the main part being a potentiostat in our laboratory. It is connected to a computer via digital/ analogue and analogue/digital converters so that any potential-time dependence can be supplied. The computer also records the current-potential curve. The experimental equipment and the procedure applied were described in Refs. [12,18]. The glass liquids studied were a borosilicate composition(glassA:57SiO2 á 12.2B2 O3 á 16.8Na2 O á 11.1Li2 O á 2.9MgO á 0.2ZrO2 á 0.1La2 O3 ), various alkali±magnesia±silicate compositions (glass B: 74SiO2 á 16Li2 O á 10MgO; glass series C: (90ÿx)SiO2 á xNa2 O á 10MgO; glass series D: (90ÿx)SiO2 á xK2 O á 10MgO with x ˆ 10, 15, 20 and 25; and glass E: 74SiO2 á 16Cs2 O á 10MgO) as well as di€erent alkali±lime±silicate compositions (glass series F: 74SiO2 á (26ÿx)Na2 O á 10CaO, with x ˆ 0, 5, 10, 15; glass series G: (90ÿx)SiO2 á xNa2 O á 10CaO; and glass series H: (90ÿx)SiO2 á xK2 O á 10CaO). All glass melts were doped with 0.25±0.5 mol% of the oxide of the polyvalent element, in the case of iron always with 0.2 mol% Fe2 O3 . The square-wave voltammograms were deconvoluted using a procedure described in Ref. [26]. From the experimentally recorded curves, a current±potential curve also experimentally recorded in a glass liquid without any polyvalent elements was subtracted. The resulting curve then was approximated by theoretical current±potential dependences using a least-square ®t.

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Viscosities were measured using a rotational viscometer (Bahr VIS 403). A Pt/Rh crucible and Pt/Rh rotor were used. 4. Results Fig. 1 (curve 1) presents a voltammogram of a chromium doped borosilicate glass liquid (Sample A) recorded at 900°C. One peak is observed at a potential of ÿ45 mV and another one, after subtracting the matrix current (curve 2) can be seen in curve 3 at ÿ865 mV. The ®rst peak is caused by the reduction of Cr6‡ to Cr3‡ while the second one is attributed to the reduction of Cr3‡ to Cr2‡ [21]: 3eÿ

eÿ

Cr6‡ ¢ Cr3‡ ¢ Cr2‡ :

…5†

Fig. 2 shows self-di€usion coecients calculated from the peak currents of voltammograms recorded in the Cr2 O3 -doped sample (see Fig. 1) as a function of temperature. A linear correlation between log D and 1/T is observed. Curve 2 is attributed to the reduction of Cr6‡ to Cr3‡ , (correlation coecient R > 0.99) while curve 1 to that of Cr3‡ to Cr2‡ (correlation coecient R > 0.99). The self-di€usion coecients shown in curve 1 are larger than those in curve 2. Although self di€usion coecients are mean values (e.g., Cr6‡ and Cr3‡ ), in the following, only the oxidized species will be mentioned.

Fig. 1. Square-wave voltammogram of a borosilicate glass melt doped with 0.5 mol% Cr2 O3 (curve 1) at 900°C. Curve 2: matrix current; curve 3: curve 1 ÿ curve 2.

Fig. 2. Voltammetrically determined self-di€usion coecients in the borosilicate glass melt as a function of temperature. Curve 1: Cr3‡ ; curve 2: Cr6‡ .

Samples doped with other polyvalent elements also have resolved peaks from which peak currents, self-di€usion coecients were calculated. Fig. 3 summarizes self-di€usion coecients of various multivalent elements in melt composition

Fig. 3. Voltammetrically determined self-di€usion coecients of various polyvalent elements in the borosilicate glass melt as a function of temperature: 1: Cu2‡ , 2: Fe3‡ , 3: Cu‡ , 4: As5‡ , 5: V4‡ , 6: Ni2‡ , 7: As3‡ , 8: Cd2‡ , 9: Pb2‡ , 10: Co2‡ , 11: Mn2‡ , 12: Zn2‡ , 13: V5‡ , 14: Ce4‡ , 15: Cr3‡ , 16: Sn2‡ , 17: Sb5‡ , 18: Bi3‡ , 19: Sb3‡ , 20: Cr6‡ .

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A and the temperature range of 700±1100°C (including datas from Refs. [24,28]). They all have a temperature dependence which can be ®tted to Eq. (3) and are illustrated by means of their regression lines (all correlation coecients are in the range of 0.98±0.99). The self-di€usion coecients in Fig. 3 and their temperature dependences di€er. The largest self-di€usion coecients were measured for iron and copper and were in the range of 1:8  10ÿ10 ±2:8  10ÿ10 m2 /s at 1100°C. At the same temperature the smallest self-di€usion coef®cient measured was that of Cr6‡ , more than two orders of magnitude smaller (1:2  10ÿ12 m2 /s) than that of iron. For all polyvalent elements investigated, the self-di€usion coecients decrease by two to three orders of magnitude while decreasing the temperature from 1100°C to 700°C. At 800°C they are in the range of 1:1  10ÿ14 ± 6:2  10ÿ12 m2 /s. Fig. 4 shows the self-di€usion coecients of Fe3‡ at 1300°C in di€erent soda±lime±silica glass melts (74SiO2 , (26ÿx)Na2 O, xCaO; x ˆ 0, 5, 10, 15) (series F) as a function of the Na2 O-content. It can be observed that an increasing Na2 O-content leads to larger self-di€usion coecients. Fig. 5 shows the viscosities of di€erent soda± lime±silica samples of series F as a function of the Na2O-content also at a temperature of 1300°C. We observe that an increasing Na2 O-content leads

Fig. 4. Self-di€usion coecients of iron as a function of the Na2 O-content for soda±lime±silica glass melts (74SiO2 , (26 ÿ x)Na2 O, xCaO; x ˆ 0, 5, 10, 15) doped with 0.2 mol% Fe2 O3 at 1300°C.

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Fig. 5. Viscosities of the four soda±lime±silica glass melts (see Fig. 4) at 1300°C.

to a smaller viscosity. A plot of the self-di€usion coecients versus the reciprocal viscosity is shown in Fig. 6. Within this glass system, the self-di€usion coecients increase with decreasing viscosity and a linear dependence of the self-di€usion coef®cient on the reciprocal viscosity is observed (The full line is a regression line, R ˆ 0.98). Table 1 shows the self-di€usion coecients of iron in di€erent alkali±magnesia±silica samples as a function of the alkali content (1300°C). The selfdi€usion coecients of iron increase with increasing R2 O-content. For the Na2 O-containing samples (series C), the self-di€usion coecients

Fig. 6. Self-di€usion coecients of iron as a function of the viscosity for soda±lime±silica glass melts (see Figs. 4 and 5) at various temperatures. The mol% compositions are given in the box: [Na2 O]±[CaO].

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Table 1 Self-di€usion coecients of iron in di€erent alkali-magnesiasilica samples at 1300°C and at a viscosity of 3.16 ´ 103 dPa s (error ‹ 15%) Alkali content

D at 1300°C (in m2 /s)

D at g ˆ 3:16  103 dPas (in m2 /s)

16Cs2 O 10K2 O 15K2 O 20K2 O 25K2 O 10Na2 O 15Na2 O 20Na2 O 25Na2 O

1.62 ´ 10ÿ11 0.78 ´ 10ÿ11 1.70 ´ 10ÿ11 5.37 ´ 10ÿ11 6.46 ´ 10ÿ11 1.62 ´ 10ÿ11 4.37 ´ 10ÿ11 24.0 ´ 10ÿ11 39.8 ´ 10ÿ11

6.79 ´ 10ÿ11 3.72 ´ 10ÿ11 1.62 ´ 10ÿ11 1.07 ´ 10ÿ11 0.37 ´ 10ÿ11 14.1 ´ 10ÿ12 4.0 ´ 10ÿ12 3.31 ´ 10ÿ12 1.62 ´ 10ÿ12

samples) for a temperature of 1300°C. Within the series, from Li to K, the self-di€usion coecients are decreasing. The self-di€usion coecients of iron in the magnesia-containing samples are nearly the same for K and Cs, however, we note that the concentration of the Cs2 O is 1 mol% larger than the concentration of the K2 O. The self-di€usion coecient in the soda±lime±silicate sample is larger than in the soda±magnesia±silicate sample, while the self-di€usion coecients in the K2 Ocontaining samples are the same within the error limits. 5. Discussion

di€er by about a factor of 25 and for the K2 Ocontaining samples (series D) by about a factor of 8. The self-di€usion coecients of iron in the Na2 O-containing samples are generally larger than those in the K2 O-containing samples in the temperature range studied. Fig. 7 presents self-di€usion coecients of iron in four alkali±magnesia±silicate samples ((90ÿx)SiO2 , xR2 O, 10MgO) (Samples B±E) and two alkali±lime±silicate samples ((90ÿx)SiO2 , xR2 O, 10CaO) (Samples G and H) containing di€erent types of alkali, however, all possessing a similar R2 O-content (16Li2 O, 15Na2 O, 15K2 O, 16Cs2 O for the alkali±magnesia±silicate samples and 16Na2 O, 16K2 O for the alkali±lime±silicate

Fig. 7. Self-di€usion coecients of iron as a function of the type of alkali ions at a temperature of 1300°C; d alkali±magnesia±silica glass melts (16Li2 O, 15Na2 O, 15K2 O, 16Cs2 O), n alkali-lime-silica glass melts (16Na2 O, 16K2 O).

All self-di€usion coecients measured could be ®tted with the Arrhenius equations with correlation coecients R > 0.98. Hence within the temperature range studied, the activation energy, ED , is constant and it can be assumed that the di€usion mechanism does not change with temperature for any of the polyvalent elements in our samples. Fig. 3 illustrates that the ion possessing the largest charge (Cr6‡ ) has the smallest selfdi€usion coecient while ions with the smallest charge, such as copper or iron have the largest self-di€usion coecients. A similar dependence on charge has already been reported for soda± lime±silicate samples with composition of 74SiO2 á 16Na2 O á 10CaO in Ref. [22]. In that liquid, the self-di€usion coecients di€er by more than six orders of magnitude at 800°C. By analogy to Fig. 3, also in the soda±lime±silicate samples usually ions of smaller charge possess larger self-di€usion coecients than those of larger charge. In the samples a strict correlation is not observed. The polyvalent cations have larger di€erences in their self-di€usion coecients at lower temperatures than at higher temperatures. As already observed in the case of a soda±lime± silica sample, a correlation of the self-di€usion coecients with the atomic radius, the electronegativity or the ®eld strength is not observed. Fig. 8 shows a plot of the logarithm of the selfdi€usion coecients measured in the borosilicate sample against those obtained in the soda±lime± silicate sample (74SiO2 , 16Na2 O, 10CaO from

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Fig. 8. Self-di€usion coecients of various polyvalent elements, measured in the borosilicate glass melt and a soda±lime± silica glass melt at 1000°C. Full line: linear regression, dashed line: equal di€usion coecients in both glass melts.

Ref. [22]) both at a temperature of 1000°C. In both cases, Cr6‡ , has the smallest self-di€usion coecient. In the borosilicate sample this coecient is around two orders of magnitude larger. In the case of Cd2‡ , the di€erence is smallest. The full line in Fig. 4 is a regression line, deviations from it are less than 0.5 in the logarithm scale which corresponds to a factor of 3. Hence the deviation from the full line is clearly larger than the error limit. A possible reason for the larger self-di€usion coecients is the smaller viscosity of the borosilicate sample in comparison to that of the soda±lime± silica sample. Stokes±Einstein equation (see Eq. (4)) predicts a correlation between the self-di€usion coecient and the reciprocal ionic radius in media possessing the same viscosity. Since the self-di€usion coecients di€er by several orders of magnitude in the samples of the same composition (except for the polyvalent dopant) at the same temperature, the di€erences in the self-di€usion coecients are not an e€ect of di€erences in the ionic radii. Thus, Stokes±Einstein equation is not ful®lled. As shown in Figs. 4, 6 and 8, the self-diffusion coecient of a polyvalent ion is usually larger in a glass melt with smaller viscosity. As shown for iron in samples of the series F (see Fig. 6) within this composition range, a linear function can be ®t to the data of the self-di€usion coe-

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cient on the reciprocal viscosity. It should be noted that the di€usivity of other components of a glass liquid, such as silicon or oxygen follows the Stokes±Einstein equation [32,33]. By contrast, di€usion coecients of network modi®ers have been reported to be some orders of magnitude larger [34]. As illustrated in Fig. 7, self-di€usion coecients of iron are larger for alkali±lime±and alkali± magnesia±silicate samples with smaller alkali cations, such as Li2 O-and Na2 O-containing ones. However, these samples also have smaller viscosities. Hence, also in these cases, the self-di€usion coecients are larger in samples with smaller viscosities. As illustrated for the case of the glass series F in Fig. 6, there is a correlation of D and 1/g for each system studied. However, there are deviations from a strict correlation if di€erent glass systems are compared. This deviation can be illustrated with the aid of Table 1, column 3 (including data from Refs. [28,35,36]) as follows: At a constant viscosity of g ˆ 3:16  103 dPas (i.e. the temperature is not constant), a di€erent e€ect of the self-di€usion coecients of iron upon the glass composition is observed. With increasing alkali content, the self-di€usion coecients decrease. With increasing size of the alkali cations, the selfdi€usion coecients increase. With increasing alumina content, the self-di€usion coecients also increase (see Ref. [36]). It should be noted that at constant viscosity the iron self-di€usion coecient observed is around 40 times larger than the smallest one. In former studies [20,36], it has been concluded that Fe3‡ in silicate glasses mainly occurs in a distorted fourfold coordination tedrahedra, formally possessing a negative charge. Two oxygens are coordinated with an alkali ion for charge compensation and hence the resulting symmetry is C2V already known from electron paramagnetic resonance spectra (EPR) [37]. This complex is more e€ectively stabilized by smaller alkali cations such as Li‡ since the Coulomb forces are larger. In the present paper as well as in Ref. [35], it was observed that iron has larger self-di€usion coef®cients if larger alkali cations are present in liquids of the same viscosity, i.e. the same mobility of the network. This e€ect should be caused by

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the better stabilization of the Fe3‡ -tetrahedra in glass networks containing smaller alkali cations. If larger cations are present, the C2V -complex is less stabilized (see Refs. [35,37]). Otherwise, an increase in the alkali content causes a better stabilization. This di€erence explains the decrease in the self-di€usion coecients in liquids of the same viscosity containing larger quantities of alkali cations. Another interesting result recently reported in Ref. [36] is that an increase in the Al2 O3 -content leads to larger iron self-di€usion coecients in liquids possessing the same viscosity. In glasses with an Al2 O3 -content smaller than the sum of the alkali and the earth alkali content, aluminum is mainly incorporated in fourfold coordination [38]. By analogy to Fe3‡ , this complex possesses a formal negative charge compensated by an alkali cation. These alkali cations are located near this tetrahedral complex and no longer contribute to the stabilization of the C2V -complex of Fe3‡ . Thus larger Al2 O3 -contents have the same e€ect as smaller alkali contents. In both cases, the incorporation of Fe3‡ into the glass network decreases and therefore, the self-di€usion coecients of iron in liquids with the same viscosity increases. 6. Conclusions The self-di€usion coecients of various polyvalent elements di€er by some order of magnitudes in the same basic glass systems at the same temperature. The Stokes±Einstein equation is not valid for the ionic radius of the di€using species. Generally, in liquids possessing smaller viscosities, the self-di€usion coecients are larger. The dependence of the self-di€usion coecients of iron upon the reciprocal viscosity of a glass liquid is ®t to the Stokes±Einstein equation within any glass system. If liquids of constant viscosity are compared, the self-di€usion coecient of iron decreases with increasing alkali concentration, decreasing size of the alkali cation and decreasing alumina content. This is consistent with the stabilization of tetrahedrally coordinated iron by increasing alkali concentrations and decreasing size of the alkali cation as well as by a deterio-

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