Patent Application
20220073357
The invention relates to processes for producing chlorosilanes in a fluidized bed reactor by reaction of a hydrogen- and silicon tetrachloride-containing reaction gas with a particulate contact mass containing silicon and a catalyst, wherein the chlorosilanes have the general formula HnSiCl4−n and/or HmCl6−mSi2 where n=1 to 4 and m=0 to 4, characterized in that the reactor design is described by an index K1, the constitution of the contact mass is described by an index K2 and the reaction conditions are described by an index K3, wherein K1 has a value of 1 to 20, K2 has a value of 0.001 to 200 and K3 has a value of 0.5 to 10 000.
The production of polycrystalline silicon as a starting material for the manufacture of chips or solar cells is typically effected by decomposition of its volatile halogen compounds, in particular trichlorosilane (TCS, HSiCl3).
Polycrystalline silicon (polysilicon) may be produced in the form of rods by the Siemens process, wherein polysilicon is deposited on heated filament rods in a reactor. A mixture of TCS and hydrogen is typically employed as process gas. Alternatively, polysilicon granulate may be produced in a fluidized bed reactor. This comprises fluidizing the silicon particles in a fluidized bed using a gas flow, wherein said fluidized bed is heated to high temperatures via a heating apparatus. Addition of a silicon-containing reaction gas such as TCS causes a pyrolysis reaction to take place at the hot particle surface, thus causing the particles to increase in diameter.
The production of chlorosilanes, in particular TCS, may be carried out essentially by three processes which are based on the following reactions (cf. WO2010/028878A1 and WO2016/198264A1):
Si+3HCl-->SiHCl3+H2+byproducts (1)
Si+3SiCl4+2H2-->4SiHCl3+byproducts (2)
SiCl4+H2-->SiHCl3+HCl+byproducts (3)
Byproducts generated may include further halosilanes, for example monochlorosilane (H3SiCl), dichlorosilane (H2SiCl2), silicon tetrachloride (STC, SiCl4) and di- and oligosilanes. Impurities such as hydrocarbons, organochlorosilanes and metal chlorides may also be constituents of the byproducts. Production of high-purity TCS therefore typically includes a subsequent distillation.
The hydrochlorination (HC) according to reaction (1) makes it possible to produce chlorosilanes from metallurgical silicon (Simg) by addition of hydrogen chloride (HCl) in a fluidized bed reactor, wherein the reaction proceeds exothermically. This generally affords TCS and STC as the main products.
A further option for producing chlorosilanes, in particular TCS, is the thermal conversion of STC and hydrogen in the gas phase in the presence or absence of a catalyst.
The low temperature conversion (LTC) according to reaction (2) is a weakly endothermic process and is typically performed in the presence of a catalyst (for example copper-containing catalysts or catalyst mixtures). The LTC may be carried out in a fluidized bed reactor in the presence of Simg under a pressure of 0.5 to 5 MPa and at temperatures of 400° C. to 700° C. An uncatalyzed reaction mode is generally possible using Simg and/or by addition of HCl to the reaction gas. However, other product distributions may result and/or lower TCS selectivities may be achieved than in the catalysed variant.
The high temperature conversion (HTC) according to reaction (3) is an endothermic process. This process is typically carried out in a reactor under high pressure at temperatures between 600° C. and 1200° C.
The known processes are in principle costly and energy intensive. The required energy input which is generally effected by electric means represents a significant cost factor. The operative performance (expressed for example by the TCS selectivity-weighted productivity, the formation of little in the way of high-boiling byproducts) of the LTC in the fluidized bed reactor depends decisively on the adjustable reaction parameters. A continuous process mode further requires that the reaction components silicon, STC and hydrogen are introduced into the reactor under the reaction conditions and this is associated with considerable technical complexity. Against this backdrop it is important to realize the highest possible productivity—amount of chlorosilanes formed per unit time and reaction volume—and the highest possible selectivity based on the desired target product (typically TCS) (TCS selectivity-weighted productivity).
The production of chlorosilanes by LTC is a dynamic process. For the most efficient possible performance and constant optimization of the HC it is necessary to understand and visualize the underlying dynamics. This in principle requires methods having a high temporal resolution for process monitoring.
It is known to determine the composition in a product mixture from LTC in a personnel-intensive laboratory method by analysis of withdrawn samples (off-/at-line measurement). However, said analysis always takes place with a time delay and thus in the best case provides a point-like, retrospective extract of a discrete operating state of a fluidized bed reactor. However, if for example product gas streams of a plurality of reactors are combined in one condensation sector and only one sample of this condensate mixture is withdrawn it is not possible to draw concrete conclusions about the operating conditions of the individual reactors on the basis of the analytical results.
In order to be able to measure the composition of a product mixture from LTC in high temporal resolution it is possible to employ (preferably at each individual reactor) process analysers in the gas and/or condensate stream, for example process gas chromatographs (on-/in-line and/or non-invasive measurement). However, in principle the disadvantage of this is the limited number of employable instruments due to the high mechanical stress (abrasion) and the aggressive chemical environment. The generally high capital and maintenance costs are a further cost factor.
In order to identify discrete operating states of LTC reactors it is possible in principle to make use of various process analytical methods which may be categorized as follows (W.-D. Hergeth, On-Line Monitoring of Chemical Reactions: Ullmann's Encyclopedia of Industrial Chemistry, Wiley: Weinheim, Germany 2006).
The disadvantages of process analysers may be circumvented by a model-based methodology based on so-called soft sensors (virtual sensors). Soft sensors make use of continuously determined measured data of operating parameters that are essential to the operation of the process (for example temperatures, pressures, volume flows, fill levels, power outputs, mass flows, valve positions etc.). This makes it possible for example to predict concentrations of main products and byproducts.
Soft sensors are based on mathematical equations and are dependency simulations of representative measured values to a target value. In other words, soft sensors show dependencies of correlating measured values and lead to a target parameter. The target parameter is thus not measured directly but rather is determined by means of these correlating measured values. Applied to the HC this means that for example the TCS content or the TCS selectivity are not determined with real measurement sensors (for example a process gas chromatograph) but rather may be calculated via correlations between operating parameters.
Mathematical equations for soft sensors may be obtained by fully empirical modelling (for example based on a transformed power law model) by semi-empirical modelling (for example based on kinetic equations for describing the reaction rate) or by fundamental modelling (for example based on fundamental equations of flow mechanics and kinetics). The mathematical equations may be derived using process simulation programs (for example OpenFOAM, ANSYS or Barracuda) or regression programs (for example Excel VBA, MATLAB or Maple).
The present invention has for its object to improve the economy of the production of chlorosilanes by LTC.
This object is achieved by a process for producing chlorosilanes in a fluidized bed reactor by reaction of a hydrogen- and silicon tetrachloride-containing reaction gas with a particulate contact mass containing silicon and a catalyst, wherein the chlorosilanes have the general formula HnSiCl4−n and/or HmCl6−mSi2 where n=1 to 4 and m=0 to 4.
The reactor design is described by a dimensionless index K1, wherein
φ=fill level of the reactor,
Vreactor, eff=effective volume of the reactor interior [m3],
Atot, cooled=sum of cooled surface areas in the reactor [m2] and
dhyd=hydraulic reactor diameter [m].
The constitution of the contact mass is described by a dimensionless index K2, wherein
BAK=breadth of the particle size distribution of the contact mass [μm],
d32=particle Sauter diameter [μm],
RSi=purity of the silicon and
δrel=relative catalyst distribution in the contact mass.
The reaction conditions are described by a dimensionless index K3, wherein
uL=superficial gas velocity [m/s],
vF=kinematic viscosity of the fluid (gaseous reaction mixture in reactor interior) [m2/s],
ρF=fluid density [kg/m3]
pdiff=pressure drop over fluidized bed [kg/m*s2] and
g=acceleration due to gravity [m/s2].
In the process K1 is given a value of 2 to 20, K2 has a value of 0.001 to 200 and K3 has a value of 0.5 to 10 000. Within these ranges the productivity of the process is particularly high.
The use of physical and virtual methods of process monitoring made it possible to identify new correlations in the LTC which make it possible to describe the LTC via the three indices K1,
K2 and K3 in such a way that the process is operable in particularly economic fashion through the choice of certain parameter settings and combinations thereof. The process according to the invention allows for integrated, predictive process control in the context of “Advanced Process Control (APC)” for the LTC. If the LTC is performed in the inventive ranges for K1, K2 and K3, especially via process control systems (preferably APC controllers), the highest possible economic efficiency is achieved. In an integrated system for production of silicon products (for example polysilicon of various quality grades) integration of the process allows the production sequence to be optimized and production costs to be reduced.
When plotted in a Cartesian coordinate system the ranges for the indices K1, K2 and K3 span a three-dimensional space which represents a particularly advantageous operating range for the LTC. Such an operating range is shown schematically in
Soft sensors additionally allow performance parameters such as for example TCS selectivity to be shown as a function of K1, K2 and K3. The performance data thus determined in high temporal resolution can be provided to a process control means, in particular a model-predictive control means, as a manipulated variable. In this way, the process can be operated in economically optimized fashion.
In a preferred embodiment of the process K1 has a value of 3 to 18, preferably of 4 to 16, particularly preferably of 6 to 12.
K2 by preference has a value of 0.005 to 100, preferably of 0.01 to 25, particularly preferably of 0.02 to 15.
K3 by preference has a value of 0.5 to 10 000, preferably of 3 to 3 000, particularly preferably of 5 to 1000, in particular preferably of 10 to 500.
The index K1 relates via equation 1 parameters of reactor geometry, namely the effective volume of the reactor interior VReactor, eff, the sum of the cooled surface areas in the reactor interior Atot, cooled and the hydraulic diameter dhyd, to the fluidized bed as expressed by the dimensionless fill level φ.
VReactor, eff corresponds to the total volume of the reactor interior minus all internals. VReactor, eff is by preference 1 to 300 m3, preferably 5 to 200 m3, particularly preferably 10 to 150 m3, in particular 20 to 100 m3.
Fluid dynamics investigations in fluidized bed reactors have shown that the geometry of the interior of the fluidized bed reactor can have a decisive effect on fluid dynamics and thus also on productivity. Interior is to be understood as meaning in particular the region that may come into contact with the reaction gas and/or the particles of the contact mass (i.e. in particular both the empty space and the region in which the fluidized bed is formed). The geometry of the interior is determined not only by general constructional features such as height, width, shape (for example cylinder or cone) but also by internals arranged in the interior. The internals may be in particular heat exchanger units, stiffening planes, feeds (conduits) for introducing the reaction gas and apparatuses for distributing the reaction gas (for example gas distributor plates).
The sum of the cooled surface areas in the reactor interior Atot, cooled specifies how much surface area can be utilized for heat exchange. For example, Atot, cooled is made up of the surface areas of a cooling matrix (consisting of individual lances, u-pipes or the like) and a jacket cooler.
The hydraulic diameter dhyd of the fluidized bed reactor is an engineering index which makes it possible to describe fluid-mechanical friction and surface effects of internals, channels or other geometries by attributing these to an equivalent diameter. dhyd is calculated according to equation 2.
Aq,free=free flow cross section in interior [m2] and
Utot, wetted=wetted perimeter of all internals [m].
The free flow cross section is the cross section of the portion of the reactor (without internals) in which the fluidized bed is formed.
The hydraulic plant diameter dhyd is by preference 0.5 to 2.5 m, preferably 0.75 to 2 m, particularly preferably 0.8 to 1.5 m.
The measurement of all objects (diameter of the interior, perimeter of internals, cooled surface areas) may be determined for example by laser measurements/3-D scans (for example ZEISS COMET L3D 2). These dimensions can typically also be discerned from the reactor manufacturer's literature.
The fill level φ indicates how much contact mass is present in the reactor interior. φ is calculated according to equation 3.
pdiff=pressure drop over the fluidized bed [kg/m*s2] and
ρp=particle solids density of contact mass [kg/m3].
The particle solids density pp may be regarded as approximately constant. A typical value is 2336 kg/m3 for example (density of Si at 20° C.). Measurement may be carried out with a pycnometer.
The pressure drop over the fluidized bed pdiff is preferably 10 000 to 200 000 kg/m*s2, particularly preferably 30 000 to 150 000 kg/m*s2, in particular 50 000 to 120 000 kg/m*s2. To determine pdiff the pressure is measured both in a feed conduit for the reaction gas and in a discharge conduit for the offgas for example with a manometer. pdiff is the difference.
K2 describes via equation 4 the constitution, in particular the granulation, of the employed particulate contact mass.
K2 is made up of the dimensionless purity of the silicon RSi, the breadth of the particle size distribution of the contact mass BAK, the Sauter diameter d32 and the relative catalyst distribution in the contact mass δrel. BAK is derived according to equation 5.
B
AK
=d
90
−d
10, wherein (equation 5)
d10 [μm] is a measure for the size of the relatively small particles and the value d90 [μm] is a measure for the relatively large particles in the fraction or granulation mixture. d10 and d90 are generally important parameters for the characterization of a particle size distribution. For example, the value d10 means that 10% of all particles are smaller than the recited value. The value d90 is moreover defined as the median particle size (cf. DIN 13320).
The values for d10 and d90 are preferably chosen such that a breadth of the particle size distribution of the contact mass BAK of 10 to 1500 μm, particularly preferably of 100 to 1000 μm, in particular of 300 to 800 μm, is obtained.
The Sauter diameter d32 is the mean, equal-volume particle diameter of the contact mass and is preferably 10 to 2000 μm, particularly preferably 50 to 1500 μm, in particular 100 to 1000 μm, in particular preferably 200 to 800 μm.
Determination of the breadth of the particle size distribution/of the Sauter diameter may be carried out according to ISO 13320 (laser diffraction) and/or ISO 13322 (image analysis). Calculation of average particle sizes/diameters from particle size distributions may be carried out according to DIN ISO 9276-2.
The relative catalyst distribution in the contact mass δrel is a measure for the wetting/general wettability of the particulate contact mass with the catalyst. A “catalyst” is in particular to be understood as also encompassing mixtures of catalysts and/or promoters that may be added to the fluidized bed reactor. Correspondingly, δrel can also be a measure for the wetting of the particulate contact mass with a catalyst mixture or a catalyst-promoter mixture.
δrel may be calculated according to equation 7.
λ=mass ratio of catalyst/silicon granulation or catalyst loading,
Ospec, cat=average specific surface area of the catalyst [m2/kg] and
Ospec, SiK=average specific surface area of the silicon granulation [m2/kg].
The relative catalyst distribution in the contact mass δrel is by preference 0.001 to 7, preferably 0.005 to 5, particularly preferably 0.01 to 2.5.
The average specific area may for example be determined directly by gas adsorption according to the BET method (ISO 9277).
A “granulation” is in particular to be understood as meaning a mixture of silicon particles obtainable for example by comminution of chunk silicon, in particular Simg, by means of crushing and milling plants. The chunk silicon may have an average particle size of >10 mm, preferably >20 mm, particularly preferably >50 mm. The maximum average particle size is preferably 500 mm.
Granulations may be classified into fractions essentially by sieving and/or sifting.
Granulations are producible by/from
A mixture of different granulations may be referred to as a granulation mixture and the granulations of which the granulation mixture consists may be referred to as granulation fractions. Granulation fractions may be categorized relative to one another into coarse grain fractions and fine grain fractions. More than one granulation fraction may in principle be categorized as a coarse grain fraction and/or a fine grain fraction in the case of a granulation mixture. The granulation introduced into the fluidized bed reactor may be referred to as the operating granulation. The contact mass is generally the granulation mixture which is brought into contact and reacts with the reaction gas in the reactor.
The contact mass is in particular a granulation mixture. The contact mass preferably comprises no further components. It is preferably silicon containing not more than 5% by weight, particularly preferably not more than 2% by weight, in particular not more than 1% by weight, of other elements as impurities. It is preferably Simg which typically has a purity of 98% to 99.9%. A typical composition comprises for example 98% silicon, wherein the remaining 2% are generally largely composed of the elements: Fe, Ca, Al, Ti, Cu, Mn, Cr, V, Ni, Mg, B, C, P and O. Further elements that may be present include Co, W, Mo, As, Sb, Bi, S, Se, Te, Zr, Ge, Sn, Pb, Zn, Cd, Sr, Ba, Y and Cl. The specified purity of silicon is accordingly to be understood such that in the silicon sample to be measured the content of the recited elements is determined and the sum of these is then used to calculate the purity (for example in % by weight). If a total content of impurities of 2% by weight is determined this equates to a silicon content of 98% by weight. The use of silicon having a lower purity of 75% to 98% by weight is also possible. However, the silicon content is by preference greater than 75% by weight, preferably greater than 85% by weight, particularly preferably greater than 95% by weight.
A number of the elements present in the silicon as impurities exhibit catalytic activity. Therefore, the addition of a separate catalyst may in principle not be necessary when the silicon used contains catalytically active impurities. However, the process may further be positively influenced, in particular in respect of its selectivity, by the presence of one or more additional catalysts.
In one embodiment the employed silicon is a mixture of Simg and ultrahigh purity silicon (purity >99.9%). In other words, a granulation mixture comprising Simg and ultrahigh purity silicon may be concerned. The proportion of Simg is by preference at least 50% by weight, preferably at least 70% by weight, particularly preferably at least 90% by weight, based on the total weight of the granulation mixture. The ultrahigh purity silicon is in particular a constituent of the fine grain fraction. The fine grain fraction may furthermore contain exclusively ultrahigh purity silicon.
In a further embodiment the employed silicon is Simg and ultrahigh purity silicon, wherein the proportion of Simg is less than 50% by weight based on the total weight of the granulation mixture. The granulation mixture/the contact mass additionally comprises a catalyst. The ultrahigh purity silicon and/or the catalyst are preferably constituents of the fine grain fraction. The fine grain fraction preferably consists of ultrahigh purity silicon.
In another embodiment the employed silicon is exclusively ultrahigh purity silicon and the contact mass/granulation mixture contains a catalyst.
Ultrahigh purity silicon may in principle be converted by LTC just in the presence of small amounts of one of the elements Co, Mo and W (generally already present in the ultrahigh purity silicon as an impurity). A combined conversion with Simg which contains relatively large amounts of the catalytically active elements as impurities is not absolutely necessary. However, the chlorosilane selectivity may be increased further by addition of a catalyst. In the present process this may be the case in particular when the proportion of ultrahigh purity silicon in the granulation mixture is greater than the proportion of Simg and/or when the granulation mixture comprises exclusively ultrahigh purity silicon.
The catalyst may be one or more elements from the group of Fe, Cr, Ni, Co, Mn, W, Mo, V, P, As, Sb, Bi, O, S, Se, Te, Ti, Zr, C, Ge, Sn, Pb, Cu, Zn, Cd, Mg, Ca, Sr, Ba, B, Al, Y, Cl. The catalyst is preferably selected from the group comprising Fe, Al, Ca, Ni, Mn, Cu, Zn, Sn, C, V, Ti, Cr, B, P, O, Cl and mixtures thereof. As mentioned hereinabove these catalytically active elements may already be present in silicon in a certain proportion as an impurity, for example in oxidic or metallic form, as silicides or in other metallurgical phases or as oxides or chlorides. The proportion thereof depends on the purity of the silicon employed.
The catalyst may be added to the contact mass for example in metallic, alloyed and/or salt-like form. Chlorides and/or oxides of the catalytically active elements in particular may be concerned. Preferred compounds are CuCl, CuCl2, CuP, CuO or mixtures thereof. The contact mass may further contain promoters, for example Zn and/or ZnCl2 and/or Sn.
The elemental composition of the employed silicon and of the contact mass may be determined for example by x-ray fluorescence analysis.
Based on silicon the catalyst is preferably present in a proportion of 0.1% to 20% by weight, particularly preferably of 0.5% to 15% by weight, in particular of 0.8% to 10% by weight, especially preferably of 1% to 5% by weight
The index K3 relates to one another via equation 7 the most important parameters of the HC.
Contained therein are the superficial gas velocity uL, the pressure drop over the fluidized bed pdiff, the kinematic viscosity of the fluid vF and the fluid density ρF. Fluid is to be understood as meaning the gaseous reaction mixture in the reactor interior.
The superficial gas velocity μL is by preference 0.05 to 2 m/s, preferably 0.1 to 1 m/s, particularly preferably 0.2 to 0.8 m/s, in particular 0.25 to 0.6 m/s.
The fluid density ρF and the kinematic viscosity vF may be determined by simulations of phase equilibrium states using process engineering software. These simulations are typically based on adapted phase equilibria which for varying physical parameters (for example p and T) draw on actually measured compositions of the reaction mixture both in the gas phase and in the liquid phase. This simulation model may be validated using actual operating states/parameters and thus allows specification of operating optima in respect of the parameters ρF and vF.
Determination of the phase equilibria may be carried out using a measurement apparatus for example (for example modified Rock and Sieg recirculation apparatus, for example MSK Baraton type 690, MSK Instruments). Variation of physical influencing variables such as pressure and temperature bring about changes of state for a substance mixture. The different states are subsequently analyzed and the component composition is determined, for example with a gas chromatograph. Computer-aided modelling can be used to adapt equations of state to describe phase equilibria. The data are transferred into the process engineering software programs so that phase equilibria can be calculated.
Kinematic viscosity is a measure of momentum transfer perpendicular to the flow direction in a moving fluid. The kinematic viscosity vF may be described via dynamic viscosity and fluid density. Density may be approximated for example via the Rackett equation for liquids and via an equation of state, for example Peng-Robinson, for gases. Measurement of density may be carried out with a digital density measuring instrument (for example DMA 58, Anton Paar) using the torsion pendulum method (eigenfrequency measurement).
The fluid density ρF is preferably in a range from 2 to 20 kg/m3, more preferably from 5 to 15 kg/m3, particularly preferably from 7.5 to 12 kg/m3.
The kinematic viscosity vF is preferably in a range from 3*10−7 to 5.4*10−6 m2/s, more preferably from 1.5*10−6 to 5.4*10−6 m2/s, particularly preferably from 2*10−6 to 4*10−6 m2/s.
The absolute pressure in the fluidized bed reactor at which the process according to the invention is preferably performed is 0.5 to 5 MPa, preferably 1 to 4 MPa, particularly preferably 1.5 to 3.5 MPa.
The process is preferably performed in a temperature range from 350° C. to 800° C., particularly preferably from 400° C. to 700° C., in particular from 480° C. to 600° C.
The reaction gas preferably contains, before entering the reactor, at least 10 vol %, particularly preferably at least 50 vol %, in particular at least 90 vol %, of hydrogen and STC.
Furthermore, hydrogen and STC may be present in a molar ratio of 1:1 to 10:1, preferably of 1:1 to 6:1, particularly preferably of 1.1 to 4:1.
The reaction gas may further contain one or more components selected from the group comprising HnSiCl4−n (n=0 to 4), HmCl6−mSi2 (m=0 to 6), HqCl6−qSi2O (q=0 to 4), CH4, C2H6, CO, CO2, O2, N2. These components may derive from hydrogen recovered in an integrated system for example.
Furthermore, it is possible to add HCl and/or Cl2 to the reaction gas, in particular in order to enable an exothermic reaction regime and also to influence the equilibrium position of the reactions. Before entry into the reactor, the reaction gas contains preferably 0.01 to 1 mol of HCl and/or 0.01 to 1 mol of CL2 per mole of hydrogen present. HCl may also be present as an impurity in recovered hydrogen.
The reaction gas may further contain a carrier gas, for example nitrogen or a noble gas such as argon.
Determination of the composition of the reaction gas is typically carried out before supplying to the reactor via Raman and infrared spectroscopy and also gas chromatography. This may be carried out either via samples withdrawn in the manner of spot checks and subsequent “offline analyses” or else via “online” analytical instruments integrated into the system.
The process is preferably integrated into an integrated system for production of polysilicon.
The integrated system preferably comprises the following processes: production of TCS by the process according to the invention, purification of the produced TCS to afford semiconductor-quality TCS, deposition of polysilicon, preferably by the Siemens process or as a granulate.
In order to apply the findings and correlations to productivity in the production of chlorosilanes and to define the ranges for the indices K1, K2 and K3 (operating ranges) detailed investigations on continuously operated fluidized bed reactors of different sizes were performed.
Various experiments V were performed (Table 1: V1 to V31), wherein varied in each case were the hydraulic plant diameter dhyd with values from 0.3 m to 3 m, the superficial gas velocity uL with values from 0.01 m/s to 4 m/s, the particle Sauter diameter d32 with values from 5 μm to 2500 μm, the breadth of the operating granulation BAK with values from 10 to 2000 μm and the relative catalyst distribution over the contact mass δrel with values of 0.0001 to 10, the purity of the silicon with values of 0.75 to 0.99999, the catalyst loading 2 with values of 0.00001 to 0.4 and the pressure drop over the fluidized bed pdiff with values of 5000 to 400 000 kg/m*s2.
The particle solids density ρP may in principle be considered to be approximately constant. The fluid density ρF is typically in a range from 2 to 20 kg/m3. The kinematic viscosity vF is typically in a range from 6·10−7 to 4.5·10−6 m2/s.
The indices K1, (equation 1), K2 (equation 4) and K3 (equation 7) resulted from the chosen/prescribed parameters. The productivity [kg/(kg*h)], i.e. the produced amount of chlorosilanes per hour [kg/h] based on the amount of contact mass (operating granulation) employed in the reactor [kg], was used as a basis for evaluation of the selected combinations of K1, K2 and K3 and for definition of the optimal ranges. A productivity of >0.01 kg/(kg*h) is considered optimal/acceptable.
The experiments demonstrate that chlorosilanes are producible by means of LTC with particularly high productivity when the process is performed in the optimal ranges of the indices K1, K2 and K3.
| Filing Document | Filing Date | Country | Kind |
|---|---|---|---|
| PCT/EP2018/085601 | 12/18/2018 | WO | 00 |
