METHOD AND APPARATUS FOR ANALYSIS OF CHEMICAL CONSTITUENTS IN AN ELECTROLYSIS CELL

Abstract: The present invention relates to a method and an apparatus for the analysis of chemical constituents in an electrolysis cell for production of metal. In particular, the invention relates to continuous analysis of the alumina (oxide) concentration and the cryolite ratio in aluminium producing cells working in accordance with the Hall-Héroult process. The invention involves the use of light spectroscopy such as Raman spectroscopy for the analyses of light emitted from the cell and the light is represented as a spectrum. The analysis is performed directly in the cell while the cell is in its production mode.

Description: Method and appa ra tus for ana l ys i s of chem i ca l cons t i tuents i n an e l ect ro l ys i s ce l l . The present invention relates to a method and an apparatus for the analysis of chemical constituents in an electrolysis cell for production of metal. In particular, the invention relates to continuous analysis of the oxide concentration and the cryolite ratio in electrolysis cells for production of aluminium working in accordance with the Hall-Heroult process. In the Hall-Heroult process, aluminium is produced by electrolytic reduction of alumina (AI 2 O 3 ) dissolved in a bath based on molten cryolite (Na 3 AIF 6 ). The metal is formed at the molten aluminium cathode, and oxygen is discharged at the carbon anode. Increasing knowledge of the processes involved, has enabled modifications to be made on the bath compositions. Some fluorides in small and limited amounts are added to the bath in order to lower the bath temperature and increase the efficiency of the electrolytic process. Aluminium fluoride (AIF 3 ) is the most common additive, and commonly cells are operated with an excess aluminium fluoride content relative to cryolite. In addition, the bath may contain a certain amount of calcium fluoride (CaF 2 ), which mainly originates from the calcium oxide (CaO) impurity in the alumina feed. In some cases, calcium fluoride is voluntary added to the bath as well. To operate the cells in a manner that is effective with respect to several criterions such as dissolution of alumina, energy consumption, current efficiency, sludge formation, compensation of additives as a result of evaporation losses and losses when draining metal, environmental regulations, etc., it is of great importance that parameters such as the cryolite ratio CR (the molar ratio of NaF and AIF 3 ), bath ratio (the mass ratio of NaF and AIF 3 ), excess AIF 3 (the mass % AIF 3 in excess of the Na 3 AIF 6 composition) and the oxide concentration can be determined in a precise and continuos manner. Up to present, numerous suggestions have been made as to possible structural species in cryolite-alumina melts as such. In this work, Raman spectroscopic measurements have been performed to analyse the bath composition. Such measurements are based upon the fact that the different species emits light at a characteristic wavelength, and the technique is commonly used to indicate the presence of different species in laboratory work. One example of such work performed is published in the paper: "Reinvestigation of Molten Fluoraluminate Raman Spectra: The Question of the Existence of AIF 5 2" Ions, B. Gilbert and T. Materne, Applied Spectroscopy, Volume 44, Number 2, 1990". In addition, the paper discloses a laboratory equipment for spectroscopic analysis of melt samples. Further, one commonly used method for indicating the alumina concentration in an electrolysis cell is based upon cell voltage measurements related to the electrical conductivity of the electrolyte. Other methods involve taking samples of the bath for the analysis of the composition in a laboratory. However, present methods are either not very precise or not continuous and need further evaluation to fit the steadily increasing demands of the electrolysers for optimising their processes. In accordance with the present invention, it is now possible to determine both the alumina (oxide) concentration and the cryolite ratio in a precise and continuos manner in an electrolysis cell under its production of metal. The invention involves the use of Raman spectroscopy where spectrums of light emitted from the melt/bath are compared to reference spectrums generated from samples of known compositions. This "fingerprint" recognition method has proved to be very accurate, and the apparatus together with the proposed method make it possible to perform the analysis in an continuous manner. The invention will in the following be described by examples and figures where: Fig. 1 shows an apparatus according to the present invention, arranged in an electrolysis cell of the Hall-Heroult type, Table 1 shows a composition of recorded samples, Table 2 shows a comparision between two methods for analysis Figure 1 shows a conventional electrolysis cell 1 with prebaked anodes 2, 3, cathode block 4, melted electrolyte or bath 5, and a metal pad of melted aluminium metal 6. The anodes 2, 3 are supported by busbars 7, 8, and a superstructure 9 is arranged in the upper region of the cell. The invention is based upon a non contact system where the bath 5 in a producing electrolysis cell 1 is excited by a high intensity light beam such as a laser beam led through an emitting device 10. The response signals of the species in the bath are collected and transported to a recording system comprising basically two main components such as an optical probe 14 and a spectrometer 13. Thus, solely an optical contact is provided between the emitting device 10 and the bath 5, and similarly solely optical contact is provided between the bath 5 and the recording system. By this provision it is possible to analyse by spectroscopy highly corrosive melts at a high temperature. In one embodiment (not shown), the apparatus may comprise laser light (laser beam) that passes through a lens which focuses the light at a point remotely from the lens, i.e. in the melt. The response signal, i.e. backscattered light from the species in the melt, is picked up by the lens in a confocal manner or by an suitable optical probe and is thereafter directed to the recording system comprising a spectrometer. As seen in Figure 1 , the spectrometer 13 may have a distant location with respect to the optical probe 14, the response signal may then be transmitted from the optical probe 14 to the spectrometer 13 for instance by means of an optical fibre 15. In dependency of the energy in the laser light and the losses of the signal in the transmitting system, the laser and the optical probe may be located at a distance well above the bath 5, e.g. in the upper structure 9 of the electrolysis cell 1. In this embodiment the laser exciting source may be located (not shown) in the box of the spectrometer 13 and connected with the emitting device 10 by an optical fibre 18. The fact that the measurements are based on a non-contact principle at a distance above the bath makes it possible to operate the involved equipment in a safe manner, as said distance provides a protective buffer for the hardware with respect to the high temperatures and the corrosive chemicals involved. The output signal 16 from the spectrometer 13 is prepared by a computer 17 set up with a computer programme that makes a graphic representation of the signal. The graphic representation can be denoted as a "production spectrum". In the computer, the production spectrum is compared with information recorded from known melt compositions, denoted in the following as "reference spectrum". The reference spectrums are stored in a database accessible by the computer, and may for instance be established by laboratory investigations. The laboratory investigations may involve analysis of samples in a windowless crucible by 90° measurements (angle of laser beam versus scattered light). Such equipment and recording techniques are known as such by those skilled in the art, and will therefore not be further described here. Reference spectra AI 2 0 3 -CaF 2 -NaF-AIF 3 Various samples have been recorded based upon mixtures of AI 2 0 3 -CaF 2 -NaF-AIF 3 . In the example, mixtures with CR=2.4, 2.8, 3.0 (corresponding to 9.09, 2.78 and 0 mass excess of AIF 3 ) and with 0 to 6 weight % of Al 2 0 3 have been recorded. For each sample, the amount of CaF 2 used was set to 5 weight% to match the usual CaF 2 content of an industrial bath. The present recorded samples compositions are presented in Table 1. By using what here is called the "RAYLEIGH method" correlation coefficients of calibration curves are calculated. These results are given below: Composition (CR) 2.4 2.8 3.0 Corr. Coefficient 0.999 0.997 0.999 The obtained correlations are very good, and it seems that the correlation is better in presence of CaF 2 , which means that its presence tends to stabilise the Rayleigh decay. Development of an automatic analysis procedure. In order to measure precisely the composition of any industrial bath, the first parameter to be determined in accordance with the present method is the AI 2 O 3 content. When this parameter is determined, the contribution of AI 2 O 3 may be subtracted from the initial production spectra and then it is possible to accurately measure the requested excess of AIF 3 . It is experienced that the RAYLEIGH method is the best method to obtain calibration curves for the alumina content in AI 2 0 3 -NaF-AIF 3 mixtures. Combined with the generation of reference spectrum, the oxide content can be evaluated and thus the true final acidity of a mixture. A software program has been developed to be able to extract the oxide content and the mass excess of AIF 3 directly from a raw spectrum, and has proved to be very user friendly. By collecting and analysing a lot of NaF-AIF 3 mixtures spectra recorded at about the same temperature, it was found that the ratios of the 560 cm "1 band intensity over the one at 622 cm '1 vary regularly with the Cryolitic Ratio or the AIF 3 mass excess. Based on this finding, it was suggested to approximate an initial acidity of a sample by simply measuring the relative intensities of both bands and deducing the composition from the polynomial fits of previous datas. The method was incorporated in a software program and it turns out that this technique is extremely fast while it seems to give very good results. Knowing an initial value of the melt composition, the program chooses the closest (in melt composition) experimental reference spectrum (made of NaF-AIF 3 for instance by laboratory analysis). By comparing the intensities of both spectra in the range of 60 to 100 cm '1 and at 300 cm '1 , and applying automatically procedures for processing the spectrum (scaling etc.), the program can fit the unknown production spectrum to the reference one. It then calculates the oxide content by determining the intensities at 180 cm '1 for the reference spectrum and for the unknown production spectrum, and by using a predetermined average slope . The overall technique is very fast: the result is obtained in less than two seconds. The application of the automatic technique to real samples is presented below. Because the Al-O bands overlap somewhat with the Al-F bands near 600 cm '1 , the ratio of the 560 cm '1 band intensity over the one at 622 cm '1 , measured on the unknown, is partially incorrect. It can be corrected by subtracting an Al-O spectrum with a scale factor depending on the Al-O content found in the initial step. The evaluation of the reference spectrum intensity at 180 cm '1 is critical to obtain a reliable oxide content value. Because the actual program chooses as reference spectrum the one exhibiting the closest NaF-CaF 2 -AIF 3 composition, which may eventually be somewhat different from the initial one, a procedure allowing to standardise reference spectra for any composition have been developed. Analysis of industrial samples Various samples (samples of internal codes: C07, C08, C26, C27, C59, C75, C83, C89, C94, C101 , C102, D09, D28, D34, D45, D51 , D61 , D78, D95, D96) have been analysed by both a manual and an automatic method. The manual procedure was as follows: Step one is to compare visually on the computer screen the unknown sample spectrum with various NaF-AIF 3 spectra and choose the closest reference spectrum which matches the band profile in the 560 to 650 cm-l range. In step two the oxide content is calculated using this reference and the RAYLEIGH method. The oxide contribution is then removed by subtracting an oxide spectrum (with a scaling factor) obtained by comparing NaF-AIF 3 and AI 2 0 3 -NaF-AIF 3 mixtures spectra. The resulting spectrum is flattened and the 350 cm '1 band is removed in order to isolate the 450-650 cm '1 range of the spectrum. Then synthetic spectra of known CR (cryolite ratio) is generated and a comparision is made between them and the resulting spectrum of the sample until a precisely match is obtained. The automatic procedure involves recalling the spectrum to be analysed and pressing one key; the resulting calculated compositions, i.e. the oxide content and the acidity of the mixture, are immediately proposed by the computer. The results of the analysis are summarised in table 2. Considering the mass excess of AIF 3 , one can see that both methods (manual and automatic) give very acceptable results compared with the known compositions of samples of internal codes 2004, 2005, 2006 and 2007, see table 3. It should be understood that the principles described above can advantageously be adopted to most kinds of metal producing cells working according to thermal reduction principles.

Claims: Claims Method determining chemical constituents in an electrolysis cell (1) for the production of metal, in particular aluminium, involving the use of light spectroscopy such as Raman spectroscopy that analyses the light emitted from the cell constituents and represents the light as a spectrum, characterised in that the analysis is performed directly in the cell (1) while the cell is in its production mode. Method in accordance with claim 1 , characterised in that the bath (5) in the cell (1) is analysed and that the amount of alumina (AI 2 O 3 ) and mass excess of AIF 3 is determined. Method in accordance with claim 1 , characterised in that the analysis is performed in a continuous manner. Method in accordance with claim 1 , characterised in that the analysis is performed by recording emitted light substantial perpendicular to the bath (5) surface. Method in accordance with claim 1 , characterised in that the spectrum recorded of the light emitted the cell is compared with reference spectrums stored in a database to determine the presence and amount of chemical constituents. 6. Apparatus for the analysis of chemical constituents in an electrolysis cell (1) for the production of metal, in particular aluminium, involving the use of light spectroscopy such as Raman spectroscopy that analyses the light emitted from the cell constituents and represents the light emitted as a spectrum, the apparatus comprises an optical probe (14) connected to a spectrometer (13), characterised in that the probe (14) receives light emitted substantial perpendicular to the surface of the bath (5) in the cell (1), the probe (14) being located above the bath surface. 7. Apparatus according to claim 6, where the apparatus comprises an exciting system such as a laser and an emitting device (10), characterised in that that the emitting device (10) and the optical probe (14) is integrated in one unit to be fixed in a superstructure (9) above the bath, or to be held by a person as a portable unit. 8. Apparatus according to claim 7, characterised in that the laser is a pulsed laser. 9. Apparatus according to claim 7, characterised in that the laser is a solid state laser. 10. Apparatus according to claim 6, characterised in that the optical probe (14) is connected to the spectrometer (13) by means of an optical fibre (15). 1. Apparatus according to claim 6, characterised in that the spectrometer (13) is connected to a computer (17) having stored information of reference spectrums, the computer (17) having a software that performs an iterative process of the spectrum, and where the spectrum recorded is compared with reference spectrums to produce an output describing the presence and amount of recognised constituents, such as alumina concentration and cryolite ratio.

Inventors: FOOSNAES TRYGVE, GILBERT BERNARD, HUGLEN REIDAR, FOOSNAES, TRYGVE, GILBERT, BERNARD, HUGLEN, REIDAR
Applicants: FOOSNAES TRYGVE, GILBERT BERNARD, HUGLEN REIDAR, NORSK HYDRO AS, FOOSNAES, TRYGVE, GILBERT, BERNARD, HUGLEN, REIDAR, NORSK HYDRO ASA
Application year: 1999
Main classification: C25C3
IPC codes: C25C3