• 专利附录
  • 专利说明
  • 权利要求
  • 类似技术
  • 同族专利
  • 引用文献
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  • 优先权
    • 专利摘要:
    process and device for recycling scrap metal. The present invention relates to a process for recycling scrap metal, particularly aluminum scrap, in which a quantity of scrap metal (14), particularly aluminum scrap, is made available to a plurality of partial batches ( 6a-l), separated from each other, and in which for each partial batch (6a-l) a composition analysis is carried out and associated with the partial batch (6a-l), in each analyzed case, composition information (38a -l), based on composition analysis. the invention also relates to a device, configured or presenting respective means for carrying out the process.
    公开号:BR112018010095B1
    申请号:R112018010095-1
    申请日:2016-12-21
    公开日:2021-09-14
    发明作者:Michael Wimmer；Ronald Gillner；Nils Robert Bauerschlag；Thomas Ross
    申请人:Hydro Aluminium Rolled Products Gmbh；
    IPC主号:
    专利说明:

    [001] The invention relates to a process and a device for recycling metal scrap, particularly aluminum scrap.
    [002] In the production and processing of aluminum strips, production scraps are formed at different collection points (the so-called "production scrap"). It is desirable to use this production scrap in a circular melting process, again for the production of the product, in whose production they form. It is also desirable to use scrap formed after production (the so-called "post production scrap") again for the production of products of the same or similar alloys, so that in this scrap, finally, a circular process is obtained. In the case of scrap formed after production, it can be particularly scrap that is formed by the use, consumption and wear of aluminum products. Scrap metal can be made available, for example, by pressing plants.
    [003] As in aluminum rolling mills, several aluminum alloys are typically processed, it often occurs that scraps from different alloys are mixed together. But for a circular processing carried out preferably, this mixture has to be excluded, as otherwise limit values for alloying elements cannot be maintained in a mixture of different production scraps.
    [004] To identify a mixture, according to the current state of the art, random samples of the formed scrap are taken and examined, typically 2 to 30 random samples. But in this case there remains considerable statistical uncertainty about the actual composition of the scrap, which in particular is too high for efficient circular scrap processing.
    [005] If a scrap goes undiscovered, this can lead to the fact that a total smelting load for the furnace, of up to 100 t, falls outside the specifications and, in the worst case, has to be scrapped.
    [006] In view of this background, the present invention is based on the task of making available a process and a device for recycling metal scrap, particularly aluminum scrap, with which a more efficient circular processing of scrap can be obtained .
    [007] This task is solved according to the invention, at least partially, by a process for recycling metal scrap, particularly aluminum scrap, in which a quantity of metal scrap, particularly aluminum scrap, is put to arrangement in the form of a plurality of sub-lots separated from each other and in which for each sub-batch a compositional analysis is carried out and to the sub-batch, in each analyzed case, compositional information based on the analysis of the composition is associated.
    [008] In the case of metal scrap, particularly aluminum scrap, it can particularly be production scrap, that is, scrap that forms during operation and production, particularly scrap from a beading of the edge of a laminated aluminum tape.
    [009] In the process, a quantity of metal scrap, particularly aluminum scrap, is made available in the form of a plurality of partial batches separated from one another. By partial batches separated from each other are meant parts of the total scrap, which are stored separately and thus can be kept apart from each other. Partial lots are made available, preferably, in the form of individual packages, in which the scrap of a partial lot is gathered, in each case, in a package, for example a scrap container.
    [0010] Preferably, the amount of scrap that forms in a production operation is distributed over several scrap containers. In particular, provision can be made for a plurality of scrap containers, which are successively filled with a quantity of scrap. In this way, a scrap container in each case contains the scrap that was formed in a certain period of time during the production operation.
    [0011] In the process, for each partial batch a compositional analysis is performed. For this purpose, the scrap from the partial batch is subjected, in particular, to a chemical analysis, to determine the proportions (the contents) of one or more alloying elements contained in the scrap.
    [0012] The analysis takes place, particularly, for the total mass of scrap and not just for some random samples, which would lead to a high inaccuracy. By analyzing the total mass of a partial batch, impurities must be identified so that efficient circular processing of process scraps is made possible.
    [0013] The partial batch, in each case analyzed, is associated with composition information based on a composition analysis. For example, values for the content of certain alloying elements (such as, for example, Fe, Si, Mn, Mg, etc.) can be associated with the partial batch.
    [0014] The association may be due to the fact that the partial batch is provided with a clear identification, for example, by an inscription on a scrap container, which contains the scrap of the partial batch, and that the identification of the partial batch it is linked in an electronic memory of a data processing unit with the respective composition information, for example, in a table.
    [0015] For the circular use of scrap, it is preferred that the scraps are kept separate at the collection points, to avoid a mixture of different alloys. The separation of scrap takes place at collection points in partial batches or small packages, with a mass of, for example, 100 to 2,500 kg. A mix of scraps, however, is also not excluded in partial lots or small packages. Scraps formed after production, for example, by pressing plants in the automobile industry, can also be presented in larger partial batches, up to 15,000 kg.
    [0016] The invention is based on the knowledge that more efficient circular scrap processing can be obtained when a scrap split into small partial batches is combined with a complete scrap analysis of the partial batches. In this way, partial batches contaminated with extraneous scrap can be excluded from a circular processing of the process scrap and used elsewhere, preferably for another alloy, particularly aluminum alloy.
    [0017] It was found that the division of scrap into partial batches already forms advantages since in the production operation, in general, scraps of different alloys are presented successively and, therefore, by successive filling of several scrap containers, a separation of scrap from different alloys can already be achieved. However, it was also found that when changing the product in the production operation, frequently, in some scrap containers, scraps are mixed, before and after the change. By thoroughly analyzing the partial batches, it is possible to reliably identify these mixtures and take them into account in the additional use of the partial batches.
    [0018] The partial batches in each case preferably have a mass in the range from 500 to 15,000 kg, preferably from 500 to 5,000 kg, in particular from 1,000 to 4,000 kg.
    [0019] In particular, practically the entire scrap quantity of a partial batch is examined, so that a considerably higher security is obtained than in a random sample analysis. If in a partial lot (or in a package) an impurity is found, that partial lot/packaging is preferably not fed to the circular processing, but used elsewhere, preferably for other aluminum alloys. Partial batches/packs without impurities can be used for circular processing. An impurity can be determined by determining the accumulated content of individual alloying elements from the total scrap quantity of a partial batch/packaging. When the content of one or more alloying elements in the compositional analysis exceeds, for example, a specified threshold value, contamination is assumed. Which alloying elements cannot be exceeded depends on the product whose scrap is being driven round.
    [0020] The task mentioned above is still solved in accordance with the invention, at least in part, by a configured device, or presenting respective means for carrying out the process described above.
    [0021] Below, several modalities of the process and the device are described, the individual modalities can be applied, in each case, to the process as well as to the device and, in addition, can be combined in any desired way. with the other.
    [0022] In the first modality, the analysis of the composition of a partial batch is performed, due to the fact that the total scrap of the partial batch is fed to an analysis device and is analyzed by it. In this way, the scrap of a partial batch is examined in its entirety, so that statistical uncertainties, such as occur, for example, in an analysis of random samples, substantially do not occur.
    [0023] In another embodiment, the composition analysis comprises a spectroscopic analysis, particularly a laser-induced plasma spectroscopy (LBS), an X-ray fluorescence (XRF) analysis and/or an analysis by gamma-neutron activation -prompt (PGNAA). These processes have been found to be particularly well suited to analyzing all scrap from a partial batch. In laser-induced plasma spectroscopy, material is removed from the individual scrap grains with a laser beam, particularly a pulsed one, and the light emitted by the removed material is examined spectroscopically. In X-ray fluorescence analysis, scrap material is excited with X-ray radiation and the light emitted by the material is examined spectroscopically. In neutron-gamma-prompt activation analysis, the nuclei of atoms in the scrap material are excited by neutrons by a radioactive source, and the gamma or x-ray radiation emitted by the nuclei of the atoms is examined spectroscopically. With these methods it can be analyzed which alloying elements are contained and in which concentrations in the scrap.
    [0024] In another embodiment, the composition information contains a value for the proportion by weight of at least one alloy component in the total weight of the analyzed partial batch. The value for the proportion by weight can be a relative value, for example the content of an alloy component in % by weight, or an absolute value, for example the content of the alloy component in kg.
    [0025] In another embodiment, the composition information contains a value for the weight of the partial lot, for example, the weight of the partial lot in kg. To that end, a weighing of the partial batch can be carried out in particular, before, after or during the analysis of the composition. If, for example, scrap from the partial batch is transported by means of a conveyor belt to the analysis device, then the weight of the scrap can be determined by means of a scale-type conveyor. The weight value of the sub-batch is particularly suitable for deciding how the corresponding sub-batch can be used additionally.
    [0026] In another modality, the partial lots are associated as a function of the composition information in each associated case and a specified association prescription, in each case, to one of several classes. In this way a classification of the partial lots is obtained by means of their composition, so that the partial lots can be used more selectively, for example, to produce products with a certain alloy composition. Membership to a class can be done, for example, through a computer.
    [0027] In another modality, only partial lots are associated with a first class, whose value for the proportion by weight of at least one alloy component is within a specified range for that alloy component, for example, a first class can be defined by an upper threshold value for a particular alloying element, eg Mg. For this purpose, the composition information preferably contains a value for the content of the particular alloying element. If the alloying element content falls below the threshold value specified by the casse, then the corresponding partial lot is associated with that lasse. If, on the other hand, the alloying element content is above the threshold value specified by the class, then the partial lot is not associated with that class, but optionally with another class.
    [0028] In another modality, the partial lots as a function of the composition information, in each case associated, are associated, in each case, to one of several specified alloy specifications. In a production operation it is often known which alloys are processed during the operation. Therefore, it should be expected that the scrap formed in the production operation does not have any desired alloy, but one of the known alloys used in the operation. This information is used in this modality to obtain a better analysis of the partial lots. To this end, alloys used in a production operation can be specified as alloy specifications. An analyzed partial lot can then be associated with the alloy specification whose composition matches the composition information of the partial lot. If the composition information of a partial lot indicates, for example, an especially low Mg content, then the corresponding partial lot can be associated with an alloy specification with low Mg content, when the remaining alloy specifications require Mg contents. taller.
    [0029] In another modality, from the plurality of partial lots, one or more partial lots with a predetermined target area are selected for at least a first alloy component, the selection being due to the fact that partial lots as a function of their content of at least one second alloy component, are associated with one of several predetermined alloy compositions and are only selected when the first alloy component of the predetermined alloy composition, associated with the respective partial lot, lies within the area of predetermined target for the first alloy component. By target area of an alloy component is meant the area in which the content of the corresponding alloy component must lie in a selected partial lot.
    [0030] This modality is particularly suitable for selecting partial batches for the production of an alloy, as the alloy requires an alloy component, which with an analysis device is poorly or not sufficiently controlled, for example , because the maximum required content of the corresponding alloy component is below the proof limit. In the present embodiment, the appropriate partial lots are not determined directly via the first difficult-to-control alloy component, but indirectly via a second, easier-to-prove alloy component. This is possible, in particular, taking advantage of the additional information on the alloy compositions, in principle present. In a production operation, the alloy compositions of the processed products are typically known, so the scrap formed need only be associated with one of these alloy compositions to determine the scrap composition. Thus, by characteristic contents of certain (second) alloy components, the respective alloy can be deduced and, through the known composition of the respective alloy, in turn, the content of a certain (first) alloy component, which by itself it's just hard to measure.
    [0031] In another embodiment, partial lots associated with a predetermined class or a predetermined alloy composition are combined into a large lot. In this way, partial batches that are similar or identical with regard to their composition can be selectively assembled, and then, due to the larger batch size, they can be stored or transported more economically.
    [0032] In another modality, the plurality of partial lots separated from each other is made available by the fact that a large lot is divided into several partial lots. The large batch can, for example, have a weight of more than 20 t, particularly more than 25 t. If, for example, a large batch of 25 t is to be prepared, for example, for a large procurement of scrap for recycling, then that large batch can, for example, be divided into five parts, each with 5 t. The five partial batches are then subjected, according to the described process, to a compositional analysis in each case. In this way large batches, in which scraps of different alloys can be mixed, can be broken down into partial batches, the composition of which is then practically completely known, in each case, by compositional analysis. The size of partial batches is preferably adjusted to the charging process, as large batches are rarely fed whole to a melting furnace.
    [0033] The division of a large batch into a plurality of partial batches is advantageous, particularly when the large batch scrap is very heterogeneous. If the bulk batch scrap contains, for example, an engine block with an alloy with a high Cu content, then the Cu content of the bulk batch is locally concentrated very strongly. If a part was simply taken from the large batch and fed to a melting furnace, without splitting into partial batches and without compositional analysis, then the Cu content of the withdrawn part would depend decisively on whether the withdrawn part comprises the block or not. of engine. The uncertainty regarding the Cu content would therefore be very large in this procedure. By dividing into partial lots and practically complete analysis of the partial lots (instead of just analyzing a random sample), the uncertainty about the composition of the individual partial lots can be considerably reduced.
    [0034] In another embodiment of a plurality of partial lots with, in each case, associated composition information, a partial quantity of partial lots is selected for the production of an alloy with predetermined specification for the alloy composition to be obtained. appropriate, more precisely as a function of the compositional information associated with the partial batches and the predetermined specification.
    [0035] In this way, an optimized target load can be made available for the production of an alloy under the highest possible use of scrap. Computer algorithms for load optimization are, in principle, known. But its application has so far been problematic due to high uncertainties regarding scrap composition. With the splitting of scrap into partial batches and the associated reliable composition information, this load optimization can be carried out significantly more reliably with the described process.
    [0036] In another modality, partial lots are stored for free choice access until selection for the production of an alloy with predetermined specification for the alloy composition to be obtained. In this way, individual partial batches can be selectively removed, depending on their composition, and fed to a particular application. The storage of partial batches can take place, for example, in individual scrap containers in a shelving warehouse.
    [0037] Other characteristics and advantages of the invention are evident from the description, below, of several examples of modality, and reference is made to the attached drawing.
    [0038] The drawing shows: Figure 1: a first example of the method of the process according to the invention, Figure 2: a compositional analysis step for the process of figure 1, Figure 3: a second example of the method of the process of according to the invention, Figure 4: a third example of an embodiment of the process according to the invention, Figure 5: a fourth example of an embodiment of the process according to the invention.
    [0039] Figure 1 shows a first example of the method of the process according to the invention. In the process, aluminum scrap formed during a production operation 2 is filled into several scrap containers 4a-c and thereby made available in the form of a plurality of partial batches 6a-c. In figure 1 only three partial lots 6a-c are shown, whereas in a production operation 2, typically, a considerably larger number of partial lots are made available.
    [0040] In production operation 2, in this example, it is a lamination operation (symbolized in figure 1 by the laminator chamber), for the production of aluminum strips 10. In this lamination operation, on the edge edge of the strips laminated 10, there are formed, inter alia, on the beading blade 12, beading scraps 14. The initially empty scrap containers 4a-c are made available on the beading blade 12 and then filled, successively, until a specified weight of, for example, 2 t of scrap 14.
    [0041] In the lamination operation, typically products of different alloys are successively laminated. In an alloy change, this can lead to the fact that scraps 14 of different alloys arrive in a scrap container 14 of different alloys, when the container has not been changed in the beading blade 12, just in the transition from a lamination product from an alloy to a lamination product of another alloy.
    [0042] It was found that an examination only as a random sampling of the scraps leads to large statistical inaccuracies in the partial lots, since the effective composition of the scraps deviates, in part, considerably, from the random sample analysis. Therefore, in aluminum smelting, in the past, the foundry crucible could only be filled and smelted to approximately 80% with scrap. After casting, a chemical analysis of the melt was then required to determine the composition of the actually existing alloy. It often deviated significantly from the calculated composition of the scrap random sample analyses, so the remaining 20% of the melting crucible fill needed to be filled in a definite way to correct the alloy composition.
    [0043] This problem is currently overcome by the fact that scraps are made available in partial batches, with which a selective selection of defined scrap quantities for the merger is made possible and, on the other hand, for each partial batch it is a compositional analysis is performed.
    [0044] Correspondingly, in the example of embodiment in Figure 1, after obtaining the partial batches 6a-c, in an analysis step 16 a compositional analysis is performed. For this purpose, the containers 4a-c with the partial batches 6a-c are fed, separately from one another, to an analysis device 18, with which the composition of the scraps of the partial batches 6a-c can be analyzed.
    [0045] Figure 2 shows an example of such an analysis step 16. The contents of the scrap container 4a, i.e. scrap 14 from the partial batch 6a, is preferably evenly distributed over a conveyor belt 22 and thus carried successively by an analysis device 18. The analysis device 18 is, in this example, an analysis device for the analysis by activating gamma prompt neutrons (PGNAA). To that end, the analysis device 18 features a neutron source 26, for example a suitable radioactive nuclide, such as 252Cf, which supplies neutrons 28, with which the scrap 14 is requested. Neutrons 28 lead to an excitation of the nuclei of atoms in scrap 14, so that the nuclei of atoms emit X-rays 30, with a typical spectrum for the respective element. By analyzing X-rays 30 in a spectrometer 32, the elements contained in the scrap can be deduced, as well as their content. The analysis device 18 also has a scale-type conveyor 34, by which the weight of the scrap 14 of the partial batch 6a can be determined. From the result of the analysis of the spectrometer 32 and the scale-type carrier 34, the analysis device 18 can reliably determine the relative and absolute value of an alloying element in the partial batch 6a. The reliability of the analysis result in this type of analysis is obtained, particularly, by the fact that practically the total amount of scrap from the partial batch 6a is analyzed and not just a small fraction as in the analysis of random samples.
    [0046] After analysis in the analysis device 18, the scrap 14 is transported via conveyor belt 22 to a scrap container 36 and stored therein, separately, until further use. In particular, at first no mixing of several partial batches 6a-c takes place. To the partial batch 6a, again collected in the scrap container 36, a composition information 38 is associated, which is based on the result of the analysis of the analysis device 18. The composition information 38a may contain, for example, values for absolute contents or relatives of certain alloying elements from the sub-batch 6a and the weight of the sub-batch 6a. For the association of composition information, an identification 40 is associated with the scrap container 36, which contains the partial batch 6a. This identification 40 is installed, for example, as a bar code or the like on the scrap container 36. In the figures 1 and 3 to 5, the identification 40 in each case associated with these partial batches is symbolized by the inscription "ID1", "ID2", "ID3", etc.
    [0047] The composition information 38a and the identification 40 are transmitted to a data processing unit 42 connected to the analysis device 18. It links the identification with the composition information 38a of the partial batch 6a, for example, by the fact that in the memory 44 of the data processing unit 42 a table is stored, in which the identification 40 is stored, together with the composition information 38a.
    [0048] The analysis step 16 represented in Figure 2 is performed in the example of the modality of Figure 1 for all partial batches 6a-c, so that, after this step, each partial batch 6a-c is associated with information of corresponding composition 38a-c.
    [0049] Because at the end of the process of figure 1, each partial batch 6a-c is associated with a corresponding and particularly reliable composition information 38a-c, the partial batches 6a-c can now be selectively selected for the proper use.
    [0050] Figure 3 shows an example of the method of the process, in which the partial batches 6a-c are divided into several classes through the composition information 38a-c, for a given use. The process of this example of modality initially comprises the steps shown in Figure 1 of obtaining the quantity of aluminum scrap in partial batches 6a-c and the composition analysis, as well as associating the composition information 38a-c to the respective partial batches 6a-c.
    [0051] In the subsequent step 52, the partial lots 6a-c, as a function of the composition information 38a-c, in each associated case, and a specified association prescription, are associated, in each case with one of a first class 54 and of a second class 56. This association occurs in the example, in step 52, initially with the data processing unit 42.
    [0052] The association prescription is defined in this example such that partial batches with a Mg content of at most 0.1% by weight are associated with first class 54 and partial batches with a Mg content of more than 0.1% by weight are associated with the second class 56. In this way, partial batches can be selectively selected for the production of an alloy with low Mg content, since for this purpose only partial batches are selected of first class.
    [0053] The association of the respective class to the individual partial lots can initially take place in the memory 44 of the data processing unit 42. In another step 58, the corresponding partial lots 6a-c or the scrap containers, in which the partial lots 6a-c are stored, may be provided with a corresponding identification. Partial lots can also be associated with a class, also spatially next to each other, because the partial lots are stored selected by class. It is also conceivable to combine several or all partial batches of a class into one large batch 60. Thus, partial batches 6b and 6c of first class 54 can be filled in a common scrap container and then sold, for example, to an aluminum smelting plant or cast directly.
    [0054] Figure 4 shows another example of method of the process, in which the partial batches 6a-c are associated through composition information 38a-c, as well as a data set 62, with predetermined alloy specifications, in each case to an alloy specification. The process of this example of modality initially comprises the steps shown in Figure 1, of obtaining the quantity of aluminum scrap in partial batches 6a-c and the composition analysis, as well as associating the composition information 38a-c to the respective batches partials 6a-c.
    [0055] The alloy specifications of the alloys processed in production operation 2 are typically known. It was found that this information can be used to advantage for analysis of partial batches 6a-c.
    [0056] For this purpose, the alloy specifications of the alloys processed in production operation 2 are gathered in a data set 62, and the data set contains for each of the alloy specifications (alloy A, alloy B, etc. .) information on the scope limits of certain alloying elements (eg Si, Fe, Mn, Mg, etc.). The data set is stored in the memory 44 of the data processing unit 42.
    [0057] The data processing unit 42 is configured to compare the composition information 38a-c with the scope limits of the alloy elements of the individual alloys A, B etc., and associate the partial lots 6a-c to the alloy, in each case, appropriate. In the most favorable case, the association is clear, so that the composition information in each processed case only fits exactly one league in the dataset. When several alloys of the data set are suitable for the composition information, then in the program of the data processing unit 42 a rule is specified, which determines to which of these several alloys the corresponding partial lot is associated.
    [0058] In the example depicted in Figure 4, the specification of alloy A requires, for example, a Mg content of < 0.05%, while the remaining alloys in dataset 62 require a higher Mg content. In that case, for example, partial lot 6b can be clearly associated with alloy A.
    [0059] The association, in turn, can take place by storing a connection of the identification 40 of the partial lot with the associated alloy in the memory 44 or by installing a corresponding identification with the associated alloy in the corresponding partial lot or in the container of corresponding scrap.
    [0060] The association of known alloys to individual partial lots allows an improved analysis, since previously known information can be used in the analysis. In particular, this procedure also allows the reliable classification of partial batches for alloy production with limits for certain alloying elements, which are situated below the proof threshold of the analysis device 18.
    [0061] If, for example, partial batches with particularly low Mg content are sought, which have a Mg content below the threshold of proof, and it is known that such small Mg contents only occur in an alloy, which has a characteristic Mn content, then by associating the partial lots with alloys predetermined through the Mn content, partial lots of the corresponding alloy can be selected, with the characteristic Mn content and, consequently, with the desired low Mg content. This procedure therefore allows the selection of alloys with certain requirements regarding a first alloying element (here, Mg) by an association through a second alloying element (here, Mn), which is easier to prove.
    [0062] Figure 5 shows another example of the method of the process, in which the partial batches 6a-c are selectively selected through the composition information 38a-c, to produce an alloy with specified target. The process of this example of modality initially comprises the steps shown in Figure 1 to obtain the quantity of aluminum scrap in partial batches 6a-c and the composition analysis, as well as the association of composition information 38a-c to the respective partial batches 6a- ç.
    [0063] The partial lots 6a-c are stored for separate access in a store 72, which presents other partial lots 6d-1, to which a corresponding composition information 38d-1 is also associated. The composition information 38a-1 is stored in the memory 44 of the data processing unit 42.
    [0064] For production of a certain alloy with a predetermined alloy specification 74, the alloy specification 74 is transmitted with the desired weight to the data processing unit 42. With the help of load optimization software, the processing unit Data 42 determines the desired alloy specification 74 and composition information 38a-1, which in addition to the respective composition also comprise a value for the respective weight of the individual partial lots 6a-1, a selection or partial quantity 76 of the partial lots 6a -1, which have the appropriate alloying elements in the appropriate contents and with the appropriate weight. This selection or partial quantity 76 from the partial batches 6a-1 can then be taken from warehouse 72 and pooled, for example, into a large batch 78, which can then be supplied to a smelting plant or cast directly.
    [0065] In this way, an optimized target load can be obtained for the production of a predetermined alloy. In particular, the melting crucible can in this way be filled completely or almost completely with scrap to obtain the desired alloy.
    权利要求:
    Claims (12)
    [0001]
    1. Process for the recycling of scrap metal, particularly aluminum scrap, characterized in that, - a quantity of scrap metal (14), particularly aluminum scrap, is made available in the form of a plurality of partial batches (6a-l) separated from each other, - for each sub-batch (6a-l) a compositional analysis is performed and a compositional information (38a-l) based on the compositional analysis is associated with the respective sub-batch (6a- l) analyzed, and - for the production of an alloy with predetermined specification, a partial quantity (76) of appropriate sub-batch (6a-l) is selected from a plurality of sub-batch (6a-l), each of the sub-batch (6a-l) of the plurality of partial lots (6a-l) has a composition information (38a-l) associated with it, for the alloy composition to be obtained as a function of the composition information (38a-l) associated with the partial lots (6a-l) and the default specification.
    [0002]
    2. Process according to claim 1, characterized in that the compositional analysis of a partial batch (6a-l) is performed by the fact that all scrap (14) of the partial batch (6a-l) is fed to and analyzed by an analysis device (18).
    [0003]
    3. Process according to any one of claims 1 or 2, characterized in that the compositional analysis comprises a spectroscopic analysis, particularly a laser-induced plasma spectroscopy (LIBS), an X-ray fluorescence analysis ( XRF) and/or a gamma-prompt neutron activation analysis (PGNAA).
    [0004]
    4. Process according to any one of claims 1 to 3, characterized in that the composition information (38a-l) contains a value for the proportion by weight of at least one alloy component in the total weight of the partial batch (6a-l) analyzed.
    [0005]
    5. Process according to any one of claims 1 to 4, characterized in that the information and composition (38a-l) contains a value for the weight of the partial batch (6a-l).
    [0006]
    6. Process according to any one of claims 1 to 5, characterized in that the partial batches (6a-l), as a function of composition information (38a-l), in each associated case, and a prescription of predetermined association, are associated in each case with one of several classes (54, 56).
    [0007]
    7. Process according to claim 6, characterized in that to a first class (54) are associated only those partial batches (6a-l), whose value for the proportion by weight of at least one alloy component is yourself within a predetermined range for that alloy component.
    [0008]
    8. Process according to any one of claims 1 to 7, characterized in that the partial batches (6a-l), as a function of the composition information (38a-l), in each associated case, are associated, in each case to one of several predetermined alloy specifications.
    [0009]
    9. Process according to any one of claims 1 to 8, characterized in that in the same, from the plurality of partial batches (6a-l), one or more partial batches (6a-l) are selected with an area of specified target for at least one first alloy component, the selection being due to the fact that partial lots (6a-l), as a function of their content of at least one second alloy component, are associated with one of several predetermined alloy compositions and are only selected when the first alloy component of the predetermined alloy composition associated with the respective partial lot (6a-1) falls within the predetermined target area for the first alloy component.
    [0010]
    10. Process according to any one of claims 6 to 9, characterized in that in it, partial batches (6a-l) associated with a predetermined class (54, 56) or a predetermined alloy composition are gathered to a large lot (60, 78).
    [0011]
    11. Process according to any one of claims 1 to 10, characterized in that the partial batches (6a-l), until selection for the production of an alloy, with predetermined specification for the alloy composition to be obtained, are stored for free access.
    [0012]
    12. Process according to any one of claims 1 to 11, characterized in that the plurality of partial batches (6a-l) separated from one another is made available by the fact that a large batch is divided into several batches partial (6a-1).
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    同族专利:
    公开号 | 公开日
    BR112018010095A2|2018-11-13|
    EP3393687B1|2019-09-11|
    PL3393687T3|2019-12-31|
    KR20180090892A|2018-08-13|
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    EP3393687A1|2018-10-31|
    DE102015122818A1|2017-06-29|
    HUE045422T2|2019-12-30|
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    法律状态:
    2020-08-11| B06U| Preliminary requirement: requests with searches performed by other patent offices: procedure suspended [chapter 6.21 patent gazette]|
    2021-07-13| B09A| Decision: intention to grant [chapter 9.1 patent gazette]|
    2021-09-14| B16A| Patent or certificate of addition of invention granted [chapter 16.1 patent gazette]|Free format text: PRAZO DE VALIDADE: 20 (VINTE) ANOS CONTADOS A PARTIR DE 21/12/2016, OBSERVADAS AS CONDICOES LEGAIS. |
    优先权:
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    DE102015122818.1|2015-12-23|
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