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Online ISSN : 1347-5320
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Thermodynamics and Kinetics of Direct Synthesis of Solar Grade Silicon from Metallurgical Silicon Wafer by Liquid Phase Migration in Solid Silicon
Sakiko KawanishiKunitoshi MatsunagaTakeshi YoshikawaKazuki Morita
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2017 Volume 58 Issue 11 Pages 1571-1580

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Abstract

We propose a process for the direct synthesis of solar grade Si from a metallurgical Si wafer focusing on the fact that its microstructure is composed of almost pure Si grains and grain boundaries enriched with impurities. Principally, heating a metallurgical grade Si wafer above its eutectic temperature and applying a temperature gradient allows the grain boundaries to be melted and causes them to migrate to the high-temperature direction. The liquid phases are finally terminated at the end surface, resulting in the upgrading of the Si and making it more favorable for solar cells. In the present paper, to determine the purification effect during the liquid phase migration process, thermodynamic assessment was performed using CALPHAD method. Liquid phase migration experiments were also conducted using synthetic MG-Si (Si-Fe alloy) to determine the reaction time for the process. A maximum migration velocity of 8.17 × 10−7 m/s was obtained at 1623 K, which allows the migration process to be accomplished within 3 min for a 150-μm wafer.

1. Introduction

Solar energy is one of the most prominent renewable energies for the upcoming sustainable society because of its environmental cleanliness. However, the cost of installing solar cell systems is still high despite the significant increase in solar cell production during the past decade. To develop a roadmap for grid parity and the widespread use of photovoltaics, an abundant feedstock of low-cost solar grade Si (SOG-Si) is an inevitable requirement. To solve the problems of the conventional Siemens method1,2), that is, its feed rate limitations as well as high production cost, alternative approaches such as the modified Siemens process3) and fluidized bed reactor process4) have been proposed. However, the large amount of energy required to convert Si into gaseous phases sets a limit on their cost reduction. Subsequently, metallurgical purification methods such as directional solidification5), vacuum refining6), plasma oxidation79), and solvent refining1012) were researched and partly industrialized. Thus, a number of alternative routes have been developed for producing SOG-Si. However, all of the above-mentioned methods require a plurality of processes from upper to lower processes such as ingot casting and wafer slicing, both of which decrease productivity and cost efficiency. Achieving combined direct wafer fabrication and purification will greatly innovate Si solar cell production.

Metallurgical grade Si (MG-Si), which is produced by the carbothermic reduction of quartz followed by casting of the melt, generally includes 1.5–2% of impurities such as Al, B, P, and Fe. Typical impurity contents for MG-Si are shown in Table 1. For solar cell applications, the impurity levels are said to be reduced below 0.01 ppmw for transition metals and below 0.3 ppmw for dopant elements. In MG-Si, most of the metallic impurities are distributed at the grain boundaries mainly as silicide phases, while the Si grains are almost pure. The low transition metal impurity concentrations of generally less than 1 ppmw in Si grains are attributed to their extremely small segregation coefficients (e.g., kFe = 6.4 × 10−6, kTi = 2.0 × 10−613)). This spontaneous segregation of impurities enables the remarkable purification of MG-Si if the impurity phases are selectively removed.

Table 1 Typical impurity contents in MG-Si and initial impurity contents in simulated MG-Si for the thermodynamic calculations (ppmw).
  Al B C Ca Cr Fe Mg Mn P Ti
Typical impurity contents in MG-Si 1000–4000 10–50 1000–3000 200–2000 30–300 1000–5000 100–400 100–400 20–50 30–300
Impurity contents in simulated MG-Si 1000 30 2000 700 200 3000 200 200 - 200

In this paper, the authors focus on heat treatment above the eutectic temperature but below the melting point of Si (1687 K) with a temperature gradient as schematically shown in Fig. 1. Such a temperature allows the phases enriched with impurities to be melted while the rest of Si grains remain in a solid state. Additionally, the temperature gradient leads to the migration of the liquid phases towards the higher temperature side of the MG-Si, and eventual termination at the end surface. Purification of the MG-Si can thus be accomplished just by removing the impurity enriched phases accumulated at the surface after the migration. Subsequently, we targeted the development of a process for the direct synthesis of solar cell Si wafer from MG-Si using this migration of the impurity enriched liquid phases combined with the edge-defined film-fed growth process, which has been adopted for the production of ribbon Si14) (generally pulled up from a high purity Si bath). The proposed process is schematically shown in Fig. 2. The ribbon Si is directly pulled up from the MG-Si melt bath, and simultaneous heat treatment of the ribbon Si from one side enables the impurities to be terminated at the surface during the pulling. To assess the feasibility of the new direct process, the purification limit of MG-Si must be revealed. Additionally, understanding the kinetics of the migration is important for controlling the process.

Fig. 1

Schematic representation of heat treatment above the eutectic temperature and below the melting point of Si with a temperature gradient. (a) Partial phase diagram, (b) corresponding temperature distribution, and (c) migration of the liquid phase.

Fig. 2

Schematic diagram of direct synthesis of SOG-Si wafer from MG-Si bath based on migration of the impurity enriched liquid phase.

Therefore, the upgrading of Si by liquid phase migration in solid Si was investigated using both thermodynamic and experimental approaches. The purification limit of the MG-Si with the heat treatment was first evaluated from the equilibrium phase relation using the available thermodynamic data. Secondly, the migration behavior of the liquid phases dispersed in the solid Si was investigated. One of the major impurities in MG-Si, Fe, was selected as the sole impurity to simplify the system to enable the kinetics of migration to be more easily assessed. The migration of Fe-Si melt in solid Si at 1523–1623 K was evaluated based on the diffusion in the liquid phase. The interdiffusion coefficient in the liquid phase was evaluated from the measured migration velocity, with the modification of the density difference between the solid and liquid Si.

2. Thermodynamic Evaluation of Purification Limit

2.1 Estimation method

In this section, the thermodynamic limitations for the purification of MG-Si by the liquid phase migration process are estimated. Here, we assume a condition in which the impurity enriched liquid phase is completely separated from the solid Si after migration and is isothermally equilibrated with the solid Si by considering a small temperature difference in the system. Al, B, C, Ca, Cr, Fe, Mg, Mn, and Ti were considered as impurities in the MG-Si for the calculations. The composition of the simulated sample of MG-Si used for the thermodynamic estimations is listed in Table 1. Equilibrium phase calculations were conducted to determine the compositions of the solid Si and separated liquid phase.

To obtain the Gibbs energy of the solid Si containing impurity elements, the activity coefficients of the impurity elements in infinitely dilute solution, listed in Table 21519), were employed. The Gibbs energy of the liquid phase was treated as that of a Redlich-Kister type sub-regular solution2051). The binary interactions were taken into account when either of the interacting elements was more than 3.5 mol% in the liquid phase. Their sub-regular solution parameters are listed in Table 3. Interactions in the liquid phase between dilute components, that is, interactions between B-C, B-Ca, B-Cr, B-Mg, B-Mn, B-Ti, C-Ca, C-Cr, C-Mg, C-Mn, C-Ti, Ca-Cr, Ca-Mg, Ca-Mn, Ca-Ti, Cr-Mg, Cr-Mn, Cr-Ti, Mg-Mn, Mg-Ti, Mn-Ti were not included in the calculation because of their lesser effect on the equilibrium state. Higher order interactions were also ignored. Additionally, the formation of stable compound SiC was considered using its reliable thermodynamic data52). The equilibrium phase calculation was performed at 1480–1687 K using the thermodynamic calculation software FactSage 6.4. The bottom temperature of the estimation was decided from the eutectic temperature of the Fe-Si system to ensure the formation of a liquid phase because Fe is one of the major impurities in MG-Si.

Table 2 Excess partial molar Gibbs energy of impurities in solid Si.
Element Standard state RTln $\gamma_{i}^{s,^\circ}$/J・mol−1 Reference
Al FCC 93200 14.5T 15)
B Rhombohedral 117000 47.6T 16)
C Diamond 117000 9.25T 17)
Ca FCC 140000 72.6T 18)
Cr BCC 163000 18.6T 17)
Cu FCC 166000 47.6T 19)
Fe BCC 198000 54.6T 17)
Mg HCP 193000 69.8T 18)
Mn BCC 217000 66.9T 17)
Ti HCP 133000 41.2T 17)
Table 3 Sub-regular solution parameters of the liquid phase used for the calculation.
System Sub-regular solution parameter, $L_{i-j}^{l}$/J・mol−1 Reference
Al-B $L_{\rm Al - B}^{0} = 18600$ 20)
Al-C $L_{\rm Al - C}^{0} =40861.02 - 33.21138T$ 21)
Al-Ca $L_{\rm Al - Ca}^{0} = - 91481.9 + 35.49298T$, $L_{\rm Al - Ca}^{1} = - 62344.5 + 32.19103T$, $L_{\rm Al - Ca}^{2} = 16815.5 + 2.23255T$, $L_{\rm Al - Ca}^{3} = 33581 - 16.72723T$ 22)
Al-Cr $L_{\rm Al - Cr}^{0} = - 29000$, $L_{\rm Al - Cr}^{1} = - 11000$ 23)
Al-Cu $L_{\rm Al - Cu}^{0} = - 66622 + 8.1T$, $L_{\rm Al - Cu}^{1} = 46800 - 90.8T + 10T{\rm ln}T$, $L_{\rm Al - Cu}^{2} = - 2812$ 24)
Al-Fe $L_{\rm Al - Fe}^{0} = - 91976.5 + 22.1314T$, $L_{\rm Al - Fe}^{1} = - 5672.6 + 4.8728T$, $L_{\rm Al - Fe}^{2} = 121.9$ 25)
Al-Mg $L_{\rm Al - Mg}^{0} = - 12000 + 8.566T$, $L_{\rm Al - Mg}^{1} = 1894 - 3T$, $L_{\rm Al - Mg}^{2} = 2000$ 26)
Al-Mn $L_{\rm Al - Mn}^{0}= - 66174 + 27.0988T$, $L_{\rm Al - Mn}^{1} = - 7509 + 5.4836T$, $L_{\rm Al - Mn}^{2} = - 2639$ 27)
Al-Si $L_{\rm Al - Si}^{0} = - 11030.75 - 1.593T$, $L_{\rm Al - Si}^{1} = 4274.5 - 3.044T$, $L_{\rm Al - Si}^{2} = 1006.05 - 0.69T$ 28)
Al-Ti $L_{\rm Al - Ti}^{0} = - 108250 + 38T$, $L_{\rm Al - Ti}^{1} = - 6000 + 5T$, $L_{\rm Al - Ti}^{2} = 15000$ 29)
B-Cu $L_{\rm B - Cu}^{0} = - 264.2$, $L_{\rm B - Cu}^{1} = 9050.1$, $L_{\rm B - Cu}^{2} = 24616.6$ 30)
B-Fe $L_{\rm B - Fe}^{0} = - 130243 + 32.152T$, $L_{\rm B - Fe}^{1} = 6571$, $L_{\rm B - Fe}^{2} = 30933$ 31)
B-Si $L_{\rm B - Si}^{0} = 2400 - 9.89T$ 32)
C-Cu $L_{\rm C - Cu}^{0} = 237000 - 48.61T$ 33)
C-Fe $L_{\rm C - Fe}^{0} = - 124320 + 28.5T$, $L_{\rm C - Fe}^{1} = 19300$, $L_{\rm C - Fe}^{2} = 49260 - 19T$ 34)
C-Si $L_{\rm C - Si}^{0} = 8700$ 35)
Ca-Cu $L_{\rm Ca - Cu}^{0} = - 20205 - 12.28T$, $L_{\rm Ca - Cu}^{1} = 6275$ 36)
Ca-Fe $L_{\rm Ca - Fe}^{0} = 120233$ 22)
Ca-Si $L_{\rm Ca - Si}^{0} = - 228147.9 + 61.7892T$, $L_{\rm Ca - Si}^{1} = - 110482.3 + 73.61283T$, $L_{\rm Ca - Si}^{2} = 44663.2 - 6.95691T$, $L_{\rm Ca - Si}^{3} = 82284 - 56.03509T$ 22)
Cr-Cu $L_{\rm Cr - Cu}^{0} = 35495.913 - 2.957993T$, $L_{\rm Cr - Cu}^{1} = - 1001.177$, $L_{\rm Cr - Cu}^{2} = 5704.648$ 37)
Cr-Fe $L_{\rm Cr - Fe}^{0} = - 17737 + 7.996546T$, $L_{\rm Cr - Fe}^{1} = - 1331$ 38)
Cr-Si $L_{\rm Cr - Si}^{0} = - 119810.57 + 16.60218T$, $L_{\rm Cr - Si}^{1} = - 49124.64 + 14.11006T$ 39)
Cu-Fe $L_{\rm Cu - Fe}^{0} = 36088 - 2.32968T$, $L_{\rm Cu - Fe}^{1} = 324.53 - 0.0327T$, $L_{\rm Cu - Fe}^{2} = 10355.4 - 3.60297T$ 40)
Cu-Mg $L_{\rm Cu - Mg}^{0} = - 36962.71 + 4.74394T$, $L_{\rm Cu - Mg}^{1} = - 8182.19$ 41)
Cu-Mn $L_{\rm Cu - Mn}^{0} = 1118.55 - 5.6225T$, $L_{\rm Cu - Mn}^{1} = 10915.375$ 42)
Cu-Si $L_{\rm Cu - Si}^{0} = - 38763.5 + 5.63362T$, $L_{\rm Cu - Si}^{1} = - 52431.2 + 25.2386T$, $L_{\rm Cu - Si}^{2} = - 29426.5 + 14.6938T$ 43)
Cu-Ti $L_{\rm Cu - Ti}^{0} = - 19330 + 7.561T$, $L_{\rm Cu - Ti}^{1} = 0$, $L_{\rm Cu - Ti}^{2} = 9382 - 5.448T$ 44)
Fe-Mg $L_{\rm Fe - Mg}^{0} = 67000$ 45)
Fe-Mn $L_{\rm Fe - Mn}^{0} = - 2928.5 + 0.8779T$, $L_{\rm Fe - Mn}^{1} = 849 + 0.3832T$ 46)
Fe-Si $L_{\rm Fe - Si}^{0} = - 164434.6 + 41.9773T$, $L_{\rm Fe - Si}^{1} = - 21.523T$, $L_{\rm Fe - Si}^{2} = - 18821.5 + 22.07T$, $L_{\rm Fe - Si}^{3} = 9695.8$ 47)
Fe-Ti $L_{\rm Fe - Ti}^{0} = - 62273.8 + 5.6939T$, $L_{\rm Fe - Ti}^{1} = - 5491.468$ 48)
Mg-Si $L_{\rm Mg - Si}^{0} = - 83864.26 + 32.44438T$, $L_{\rm Mg - Si}^{1} = 18027.41 - 19.61202T$, $L_{\rm Mg - Si}^{2} = 2486.67 - 0.31084T$, $L_{\rm Mg - Si}^{3} = 18541.17 - 2.31766T$, $L_{\rm Mg - Si}^{4} = - 12338.84 + 1.54236T$ 49)
Mn-Si $L_{\rm Mn - Si}^{0} = - 144940.73 + 35.2168T$, $L_{\rm Mn - Si}^{1} = - 32971.42$, $L_{\rm Mn - Si}^{2}=20101.5$, $L_{\rm Mn - Si}^{3} = 22617.55$ 50)
Si-Ti $L_{\rm Si - Ti}^{0} = - 255852.17 + 21.87411T$, $L_{\rm Si - Ti}^{1} = 25025.35 - 2.00203T$, $L_{\rm Si - Ti}^{2} = 83940.65 - 6.71526T$ 51)

Excess Gibbs energy for the liquid phase, $L_{i-j} = x_{i} x_{j} \sum_{l=0}^{m} L_{i-j}^{l} (x_{i} - x_{j})^{l}$

Contributions between B-C, B-Ca, B-Cr, B-Mg, B-Mn, B-Ti, C-Ca, C-Cr, C-Mg, C-Mn, C-Ti, Ca-Cr, Ca-Mg, Ca-Mn, Ca-Ti, Cr-Mg, Cr-Mn, Cr-Ti, Mg-Mn, Mg-Ti, Mn-Ti were not included in the calculation because of the negligible effects.

To enhance the purification, the addition of another element to MG-Si was also studied by changing the composition of the liquid phase during the migration process. Here, Cu was selected as the additive element owing to its moderate allowable content in solar cell applications (1.5 ppmw53)) as well as its good affinity for Al, Ca, and Mg in the liquid phase. The thermodynamic data for the calculations including Cu are also listed in Tables 2 and 3, and the effect of Cu addition on the purification of MG-Si was examined.

2.2 Estimation results for purification

2.2.1 Purification of MG-Si

Under solid-liquid equilibrium, the chemical potentials of the components are equivalent in both phases. Therefore, the solid solubilities of the impurities in the Si, $X_{i}^{s}$, are described by the following equation.   

\[ {\rm ln} \frac{X_{i}^{s}}{X_{i}^{l}} = \frac{\Delta G_{i}^{fus}}{RT} + {\rm ln} \frac{\gamma_{i}^{l}}{\gamma_{i}^{s,^\circ}} \](1)
Here, $\gamma_{i}^{s,^\circ}$ and $\gamma_{i}^{l}$ are the activity coefficients of i in the solid Si and the liquid phase, respectively, $X_{i}^{l}$ is the mole fraction in the liquid phase, and $\Delta {G}_{i}^{fus}$ is the Gibbs energy of fusion. Note that the values of $\gamma_{i}^{s,^\circ}$ are listed in Table 2 and are those at infinite dilution. The solid solubilities of the respective binary systems and the corresponding contents in the liquid phases were estimated and are shown in Figs. 3(a) and 4(a), respectively. The solubilities generally take maximum values in case of Si binary systems. When the liquid phase is a multicomponent system, they can be expected to decrease mainly because of the dilution of the elements in the liquid phase.
Fig. 3

Impurity contents in the solid Si estimated from the distribution between solid Si and liquid phase for (a) each binary Si-i system, (b) MG-Si, and (c) 2 mass% Cu-added MG-Si. B and C are not shown in (a) because they did not equilibrate with the liquid phase. The initial contents of the impurities in the MG-Si are listed in Table 1.

The estimated impurity contents in the solid Si after performing the migration process on the simulated sample of MG-Si (Table 1) are shown in Fig. 3(b). The corresponding impurity contents in the liquid phase are shown in Fig. 4(b). After the migration process, the contents of the metallic impurities are considerably decreased from their initial contents in the MG-Si and are even much lower than their solid solubilities shown in Fig. 3(a). The contents of Cr, Mg, Mn and Ti become smaller than 10% of their solid solubilities in the respective binary systems after liquid phase migration above 1523 K. The contents of Al and Ca are smaller than 20% of their binary solid solubilities. In contrast, Fe is the main component among all the impurities and thus its content is around 50% of its binary solid solubility. To discuss this reduction in impurity content in detail, the impurity contents as well as their activity coefficients in the liquid phase for MG-Si and the respective binary systems were compared at 1480–1681 K and are shown in Fig. 5. Note that solid-liquid equilibrium in the Si-B system is limited to just below the melting point of Si, so the activity coefficient of B in the binary system was used to extrapolate that at infinite dilution. The decrease in the contents of the transition metals in solid Si from their solid solubilities in the binary systems can be considered to be mainly caused by dilution because the difference in their activity coefficients was not significant. The activity coefficient of Ca in MG-Si was relatively larger than that in the binary systems, mainly owing to the repulsive interaction in the Ca-Fe system in the liquid phase (see Table 3). As a result of the significant dilution effect, the contents of Ti, Mn, and Cr in the solid Si were estimated to be less than 0.05 ppmw, which is comparable with the allowable amounts for solar cell Si, while additional refining is inevitable for Al, B, and Fe.

Fig. 4

Impurity contents in the liquid phase estimated from the distribution between solid Si and liquid phase for (a) each binary Si-i system, (b) MG-Si, and (c) 2 mass% Cu-added MG-Si. B and C are not shown in (a) because they did not equilibrate with the liquid phase. The initial contents of the impurities in the MG-Si are listed in Table 1.

Fig. 5

Comparisons of (a) impurity contents and (b) activity coefficients in the liquid phases in the binary Si-i systems and MG-Si at 1480–1681 K. The activity coefficient of Ti in (b) seems to be unreliable because of inappropriate fitting of the sub-regular solution parameter for the Si-Ti system in the low activity region.

In the temperature range of the calculations of the simulated MG-Si, the total impurity content exhibited an increasing tendency with decreasing temperature, while Fe, Mn, and Ti had a retrograde solubility limit, the same tendency as in the binary systems. Improvement of the purification limit can be thus obtained at higher temperature, mainly owing to the decrease in the impurity content of the liquid phase. On the other hand, a lower temperature is effective in improving the yield of Si and heat treatment at less than 1670 K was found to be needed to obtain a yield of more than 90%. The fraction of liquid phase should also be carefully managed through temperature control to obtain a high throughput. Although further purification is needed, the total amount of impurities in the solid Si was predicted to be lower than 100 ppmw over the whole temperature range, and lower than 50 ppmw at above 1670 K from the initial amount of 0.747 mass%, which is much lower than the summation of the solid solubilities of each element.

2.2.2 Enhancement of purification of MG-Si by Cu addition

Further purification by adding Cu to the MG-Si was also examined. Cu in Si can be easily removed by the gettering process because of the large diffusion coefficient of Cu in solid Si54). Assuming that a Cu content of around 100 ppmw after purification is acceptable, addition of 2 mass% Cu to the MG-Si was examined. The estimated impurity content in the solid Si and liquid phase after the distribution is shown in Figs. 3(c) and 4(c), respectively. The relative amount of impurities in the solid Si obtained from their distributions without Cu addition at 1623 K is also shown in Fig. 6. For metallic impurities, the content of each impurity element was decreased to less than 40% by the addition of Cu at 1623 K. Especially, the contents of Al, Ca, and Mg impurities were effectively decreased to less than 25%. However, Cu addition was not effective in reducing the contents of the nonmetallic impurities, B and C. To further evaluate the effect of Cu addition, the impurity contents in solid Si and the activity coefficients in the liquid phase were calculated and are shown in Fig. 7. At lower than 1623 K, the activity coefficients of Al, Ca, and Mg decreased with increasing Cu content. The more effective removal of these elements than that of the other impurities was thus obtained both through dilution and interactions between Cu-Al, Cu-Ca, and Cu-Mg. At 1673 K, the activity coefficients of all the elements were almost the same regardless of Cu content, resulting in a decrease in impurity content only from the effect of dilution. Although a certain decrease in impurity content was predicted, further treatment would still be required for Al, Ca, and Mg. If we presume direct refining starting from the melting of the MG-Si and subsequent solidification process, pre-treatment by oxidizing refining should be effective because these elements are more easily oxidized than Si. In that case, the contents of Al, Ca, and Mg could be decreased to less than 100 ppmw using SiO2-rich slag55) after the slagging process. Application of the proposed migration process with Cu addition to the refined MG-Si should result in Al, Ca, and Mg contents below the allowable levels.

Fig. 6

Relative amounts of impurities in the solid Si at 1623 K estimated from the distributions for the 2 mass% Cu-added MG-Si from those for the MG-Si.

Fig. 7

Change in (a)–(c) impurity contents in the solid Si and (d)–(f) activity coefficients in the liquid phase upon addition of Cu.

3. Liquid Phase Migration in Fe-added Si

3.1 Experimental method

To study the migration behavior of the impurity enriched liquid phases dispersed in the solid Si, an Fe-added Si plate was subjected to heat treatment under a temperature gradient. Figure 8(a) shows the experimental apparatus used for the heat treatment. The temperature gradient was applied to the sample plate in the downward direction, obtained by heating the sample from the top using an infrared image furnace. This enabled buoyancy convection in the liquid to be suppressed.

Fig. 8

(a) Schematic illustration of experimental apparatus for migration of the impurity enriched liquid phases and (b) cross sections of the samples before and after heat treatment at 1573 K for 15 min.

A 0.2 mass% Fe-added Si plate (ϕ10 mm) was prepared by melting Si lumps (6 N) and Fe wire (99.9%) in a graphite crucible, followed by quenching and slicing. The plate was polished to obtain mirror faces and a thickness of 0.4–0.6 mm. After the plate was fixed on the hollow graphite holder, the chamber was evacuated and the sample was heated under vacuum. The temperature of the bottom of the Si plate was measured using a single color pyrometer (λ = 0.9 μm, IR-C S1SYA, CHINO Co.). The heating rate of the sample above the eutectic temperature of Si and FeSi2 (1480 K) was carefully controlled to over 400 K/min to minimize the migration during heating. The sample was then held at 1523–1623 K for 2.5–30 min to cause the liquid phases to migrate in the solid Si.

Before and after the heat treatment, the distribution of the impurity enriched phases was investigated by exploiting the infrared transmission property of Si. The Si plate was placed on an Al mirror, and the position of the impurity enriched phases in the thickness direction was measured by reflective observation using an infrared optical microscope equipped with an InGaAs camera (XS 2825, Xenics Co.). For each sample, the migration distance was determined at more than five positions to ensure reliability, and the average migration velocity was used for the evaluation.

Accurate measurement of the temperature gradient in the sample was difficult because the temperature difference between both surfaces was very small in the thin plate sample. Therefore, the gradient was estimated based on the sample being heated from the top and cooled from the bottom by radiation. By assuming a steady-state in which the conductive heat flux in the solid Si was balanced with the radiation from the bottom surface as well as the conductive heat flux of the liquid phases, their relations are expressed by the following equation if the temperature gradient in each phase is constant.   

\[ \varepsilon\sigma T^{4} = k_{s} G_{s} = k_{l} G_{l} \](2)
Here, ε is the emissivity of solid Si (εSi = 0.6556)), σ is the Stefan-Boltzmann constant ($5.7 \times 10^{-8}\,{\rm W} {\cdot} {\rm m}^{-2} {\cdot} {\rm K}^{-4}$), T is the temperature at the bottom surface of the sample, ks (or kl) and Gs (or Gl) are the thermal conductivity and temperature gradient in the solid Si (or liquid phase), respectively. kl was obtained from a model for a binary system57) using the thermal conductivities of the pure components58,59) and their molar volumes60). In some samples, the temperature gradient was decreased by coating the bottom surface of the Si plate with Al2O3Al2O3 = 0.4061)) to change the radiation.

3.2 Migration behavior results

Figure 8(b) shows an example of the cross sections of the samples before and after the heat treatment. The impurity enriched phases dispersed in the solid Si before the heat treatment existed at the grain boundaries in the shape of thin films (a few μm in thickness). After the heat treatment, the impurity phases migrated to the high-temperature side, and became rounded and agglomerated with the sizes of about 10–100 μm in diameter. This change in shape likely arose from the minimization of the interfacial area of the phases to decrease the energy of the solid-liquid interface.

The measured migration velocity of the liquid phase at liquidus composition at the experimental temperatures is summarized in Table 4. The migration velocity at 1548 K without Al2O3 coating was equivalent regardless of heat treatment time. A constant migration velocity was obtained throughout the heat treatment because the temperature difference calculated using eq. (2) was estimated to be less than 7 K from the thickness of the sample. Figure 9 shows the temperature dependency of the migration velocity. The migration velocity increased with temperature. A significant increase in the velocity was observed above 1598 K, suggesting a decrease in the difference between the Si contents of the solid and liquid phases caused by the increase in the Si content of the liquid phase.

Table 4 Migration velocities of molten Fe-Si in the solid Si measured from infrared transmission observations.
No. Temperature, T/K Time, t/min Temperature gradient in
liquid, Gl × 10−3/K・m−1
Migration distance,
l × 106/m
Migration velocity,
v × 107/m・s−1
Remarks
V1 1548 15 4.5 151 ± 24 1.68 ± 0.26  
V2 1548 30 4.5 342 ± 19 1.90 ± 0.11  
V3 1548 30 2.8 165 ± 28 0.917 ± 0.16 Al2O3-coated
V4 1573 15 4.6 222 ± 31 2.46 ± 0.35  
V5 1573 15 4.6 247 ± 15 2.74 ± 0.16  
V6 1573 15 2.8 185 ± 25 2.05 ± 0.27 Al2O3-coated
V7 1523 30 4.3 297 ± 49 1.65 ± 0.27  
V8 1598 15 4.8 506 ± 42 5.62 ± 0.47  
V9 1598 15 4.8 389 ± 82 4.32 ± 0.91  
V10 1623 2.5 4.9 123 ± 14 8.17 ± 0.96  
Fig. 9

Temperature dependence of migration velocity of liquid phase in solid Si.

The decrease in migration velocity caused by coating the bottom surface of the sample with Al2O3 was also confirmed, which was caused by the decrease in radiation from the low temperature surface. The relationship between the migration velocity at 1548 and 1573 K and the temperature gradient in the liquid phase estimated from eq. (2) is shown in Fig. 10. The migration velocity was found to be nearly proportional to the temperature gradient at both temperatures.

Fig. 10

Relationship between migration velocity and temperature gradient in liquid phase.

3.3 Discussion

3.3.1 Kinetic model for liquid phase migration

The basic principle of the migration of the liquid phase is identical to that of the temperature gradient zone melting (TGZM) method first proposed by Pfann62). The interfaces of the liquid phases dispersed in the solid Si matrix are assumed to be at solid-liquid equilibrium at the treatment temperature. The temperature gradient in the liquid phases allows the concentration gradient, leading to their mass transfer in the melt. Dissolution of Si into the liquid phase is then expected at the high-temperature interface to maintain its Si saturation, while the precipitation of Si occurs at the low temperature interface. This continuous dissolution and precipitation of Si through the liquid phase causes the liquid phase to spontaneously migrate towards the higher temperature side. Here, the convection in the liquid phase is assumed to have been negligible during the migration under the decreasing temperature gradient in the downward direction. Additionally, the reactions at the interfaces were presumably fast enough under the high experimental temperature. The migration was thus assumed to be controlled by the diffusion in the liquid phase. Under the steady-state, the flux of component i (Si or Fe) in the liquid phase, Ji, can be described by the following equation.   

\[ J_{i} = - D^{liquid} \frac{\partial C_{i}^{liquid}}{\partial x} \](3)
Here, $D^{liquid}$ is the interdiffusion coefficient in the liquid phase and $C_{i}^{liquid}$ is the concentration of i in the liquid phase per unit volume. The concentration gradient, $\partial C_{i}^{liquid}/\partial x$, can be derived using the reciprocal of the liquidus line, $m\ ({=}\partial C_{i}^{liquid}/\partial T)$, and the temperature gradient, Gl.   
\[ J_{i} = - D^{liquid} mG_{l} \](3)'
If the flux is equivalent to the migration velocity, that is, the solid-liquid interface stays in the equilibrium state, and if the difference in molar volume between the solid and liquid phases is negligible, the migration velocity, v, can be expressed by the following equation.   
\[ v\left( C_{\rm Si}^{solid} - C_{\rm Si}^{liquid} \right) = D^{liquid} mG_{l} \](4)
where $C_{\rm Si}^{solid}$ is the concentration of Si in the solid phase per unit volume. The migration velocity roughly proportional to the temperature gradient found in Fig. 10 can be thus explained by the diffusion controlled process. However, Si is known to show an abnormal liquid phase transition, namely, the density of Si in the liquid phase is larger than that in the solid phase, which causes expansion during solidification when the Si content of the liquid phase is high such as in this work (>75 mol% Si), and the left hand side of eq. (4) to become negative. To solve this problem, we assume that during the solidification process: (1) the Si flux during diffusion through the liquid phase is consumed by the hypothetical pure liquid Si, and (2) the hypothetical liquid transits to form solid Si with expansion, and newly propose eq. (5) to express the growth rate from the abnormal liquid,   
\[ \begin{split} v \frac{V_{l}^{*}}{V_{s}} \left( C_{\rm Si}^{liquid\circ} - C_{\rm Si}^{liquid} \right) & = v \frac{V_{l}^{*}}{V_{s}} \left( \frac{V_{s}}{V_{l}^{*}}C_{\rm Si}^{solid} - C_{\rm Si}^{liquid} \right)\\ & = D^{liquid} mG_{l} \end{split} \](5)
where $V_{s}$ and $V_{l}^{*}$ are the molar volume of Si in the solid and liquid phases at the composition of the solid phase, respectively, and $C_{\rm Si}^{liquid\circ}$ is the concentration of Si in its pure liquid phase per unit volume. The equation can be also expressed using the mole fraction of Si in the solid and liquid phases, $X_{\rm Si}^{s}$ and $X_{\rm Si}^{l}$, respectively.   
\[ v \left( \frac{V_{l}}{V_{s}} X_{\rm Si}^{s} - \frac{V_{l}^{*}}{V_{s}} X_{\rm Si}^{l} \right) = D^{liquid} m'G_{l} \](5)'
Here, $V_{l}$ represents the molar volume of the liquid phase at the liquidus composition and $m'$ is the reciprocal of the liquidus line obtained by $\partial X_{\rm Si}^{l}/\partial T$. The interdiffusion coefficient in the liquid phase at the liquidus composition can be thus obtained from the migration velocity.

3.3.2 Evaluation of interdiffusion coefficient

In the evaluation of the diffusion coefficient, $V_{s}$ and $V_{l}^{*}$ were assumed to be equivalent to the molar volumes of pure solid and liquid Si60,63), respectively, and $V_{l}$ at each liquidus composition was estimated from the values measured at 1820 K by Mizuno et al.64) $m'$ was obtained from the liquidus for solid Si in the Fe-Si system65). The interdiffusion coefficients obtained via eqs. (4) and (5) are summarized in Table 5 alongside the physicochemical properties used for the evaluation. The interdiffusion coefficient obtained from eq. (5) increases with temperature, while that from eq. (4) shows the opposite tendency. Thus, eq. (5) was found to be reliable even at high Si content in the liquid phase, at which the effect of the density difference on eq. (4) is inevitable.

Table 5 Measured interdiffusion coefficient at liquidus composition and physicochemical properties used for the evaluation.
No. $\frac{\partial X_{\rm Si}^{l}}{\partial T} \times 10^{4}$/K−1 $\frac{V_{l}}{V_{s}}$ $\frac{V_{l}^{*}}{V_{s}}$ $X_{\rm Si}^{l}$ $D^{liquid} \times 10^{9}$/m2・s−1
obtained from eq. (4)
$D^{liquid} \times 10^{9}$/m2・s−1
obtained from eq. (5)
V1 8.30 0.823 0.891 0.782 1.9 5.7
V2 8.30 0.823 0.891 0.782 2.1 6.5
V3 8.30 0.823 0.891 0.782 1.7 5.1
V4 9.93 0.836 0.893 0.807 1.6 6.2
V5 9.93 0.836 0.893 0.807 1.7 6.9
V6 9.93 0.836 0.893 0.807 2.1 8.4
V7 7.37 0.814 0.889 0.763 2.6 7.0
V8 12.2 0.849 0.895 0.834 1.4 9.9
V9 12.2 0.849 0.895 0.834 1.1 7.6
V10 15.3 0.864 0.897 0.867 < 0 9.4

According to Darken66), the interdiffusion coefficient for a binary i-j system is described by the following equation.   

\[ D = \left( X_{j} D_{i}^{0} + X_{i} D_{j}^{0} \right) \left( 1 + X_{i} \frac{d{\rm ln}\gamma_{i}}{dX_{i}} \right) \](6)
where $D_{i}^{0}$ represents the self-diffusion coefficient of component i, and γi represents the activity coefficient of i in the binary i-j system. $D_{\rm Si}^{0}$ and $D_{\rm Fe}^{0}$ were obtained from the literature67,68) and $d{\rm ln}\gamma_{i}/dX_{i}$ at the liquidus composition was calculated from the excess Gibbs energy of the liquid phase69). The estimated interdiffusion coefficient at the liquidus composition obtained from eq. (6) is shown in Fig. 11 with the measured values obtained from eq. (5). The composition dependence of the diffusion coefficient calculated with eq. (5) was roughly reproduced by eq. (6).
Fig. 11

Compositional dependence of interdiffusion coefficient along the liquidus composition saturated with Si in the Fe-Si system with estimation at 1498–1673 K by eq. (6)66).

3.3.3 Diffusion coefficient in various Si-metal systems

The relation between the interdiffusion coefficients obtained from eq. (5) and the reciprocal of temperature is shown in Fig. 12 with the reported interdiffusion coefficients in Si-Al70,71), Si-Au72), and Si-Sn73) systems. Note that the reported diffusion coefficients measured using the TGZM technique7173) were recalculated using eq. (5). The molar volumes of the Si-Al and Si-Au systems were assumed to obey the additivity of the pure components60). The interdiffusion coefficients obtained for the Si-Fe system were almost on the same order of those of the Si-Al and Si-Au systems, although the temperature ranges were different. However, the measured values are much larger than those for the Si-Sn system. Because Si atoms occupy substitutional sites in these binary alloys, their diffusivity in Si is speculated to increase in the order of decreasing difference in atomic radius. Figure 13 shows the relationship between the atomic radius difference and interdiffusion coefficient, where each atomic radius used is that for the pure liquid at its melting temperature (Si: 1.24 Å74), Fe: 1.275 Å75), Al: 1.48 Å76), Au: 1.425 Å76), Sn: 1.635 Å76)). Although the temperature and the composition affect the diffusivity, a decreasing tendency was confirmed in the order Si-Fe, Si-Au, Si-Al, Si-Sn.

Fig. 12

Determined interdiffusion coefficient for Si-Fe system and values reported for various systems. The reported values obtained by the TGZM method7173) were recalculated using eq. (5).

Fig. 13

Relationship between interdiffusion coefficients of binary Si-i systems and difference in their atomic radii at their melting point.

3.3.4 Application of the migration process

Finally, the application of the migration process to the direct synthesis of Si wafer from MG-Si as shown in Fig. 2 is discussed. The process enabled the impurity enriched liquid phase to be terminated at the high-temperature surface, which was controlled by the diffusion in the liquid phase. The maximum obtained migration velocity was 8.17 × 10−7 m/s at 1623 K. If the thickness of the Si wafer is 150 μm, such a high migration velocity would enable all of the liquid phases in the wafer to be terminated at the high-temperature surface within only 3 min. This result confirms the feasibility of directly upgrading of Si from a melt bath of MG-Si.

4. Conclusions

The upgrading of Si by a metallurgical process was examined by both thermodynamic and experimental assessments of the liquid phase migration technique. The results are summarized as follows;

(1) The purification limit of MG-Si at 1480–1687 K was assessed by thermodynamic evaluation. The estimated impurity contents were much lower than their solid solubilities of each binary system. The contents of most of the transition metals (Cr, Mn, and Ti) were found to be lowered to less than 0.05 ppmw. The contents of the other impurities (Al, Fe, Mg, and Ca) were higher than the allowable levels. Cu addition decreased the impurity contents to less than 40% at 1623 K.

(2) We newly proposed the following equation to express the solidification of Si from the Si-based liquid under diffusion control with the modification of the density difference between the solid and liquid.   

\[ v \frac{V_{l}^{*}}{V_{s}} \left( \frac{V_{s}}{V_{l}^{*}} C_{\rm Si}^{solid} - C_{\rm Si}^{liquid} \right) = D^{liquid} mG_{l} \]
The migration behavior of Fe-Si liquid phases dispersed in the solid Si at 1523–1623 K was evaluated and was found to be controlled by diffusion. The maximum migration velocity of 8.17 × 10−7 m/s at 1623 K allows the migration process to be accomplished within only 3 min for a 150-μm wafer.

Acknowledgements

This research was partly supported by a Grant-in-Aid for Exploratory Research (Grant No. JP24656455), from Japan Society for the Promotion of Science.

REFERENCES
 
© 2017 The Japan Institute of Metals and Materials
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