WO2016029306A1 - Dosage de détermination d'agent de liaison permettant la combinaison avec un matériau particulaire pour produire une électrode - Google Patents

Dosage de détermination d'agent de liaison permettant la combinaison avec un matériau particulaire pour produire une électrode Download PDF

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Publication number
WO2016029306A1
WO2016029306A1 PCT/CA2015/050811 CA2015050811W WO2016029306A1 WO 2016029306 A1 WO2016029306 A1 WO 2016029306A1 CA 2015050811 W CA2015050811 W CA 2015050811W WO 2016029306 A1 WO2016029306 A1 WO 2016029306A1
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WO
WIPO (PCT)
Prior art keywords
batch
dosing
index
binding agent
change
Prior art date
Application number
PCT/CA2015/050811
Other languages
English (en)
Inventor
Alexandre Gagnon
Yvon Menard
Jean-François BRIAND
Nigel Backhouse
Jean-Michel DUFRENEY
Magali Gendre
Original Assignee
Rio Tinto Alcan International Limited
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
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Application filed by Rio Tinto Alcan International Limited filed Critical Rio Tinto Alcan International Limited
Priority to RU2017110257A priority Critical patent/RU2639090C1/ru
Priority to CN201580058657.6A priority patent/CN107075706A/zh
Priority to AU2015309643A priority patent/AU2015309643B2/en
Priority to CA2959447A priority patent/CA2959447C/fr
Priority to EP15835400.1A priority patent/EP3186412A4/fr
Publication of WO2016029306A1 publication Critical patent/WO2016029306A1/fr

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    • C—CHEMISTRY; METALLURGY
    • C25—ELECTROLYTIC OR ELECTROPHORETIC PROCESSES; APPARATUS THEREFOR
    • C25C—PROCESSES FOR THE ELECTROLYTIC PRODUCTION, RECOVERY OR REFINING OF METALS; APPARATUS THEREFOR
    • C25C3/00—Electrolytic production, recovery or refining of metals by electrolysis of melts
    • C25C3/06—Electrolytic production, recovery or refining of metals by electrolysis of melts of aluminium
    • C25C3/08—Cell construction, e.g. bottoms, walls, cathodes
    • C25C3/12—Anodes
    • C25C3/125—Anodes based on carbon
    • C—CHEMISTRY; METALLURGY
    • C25—ELECTROLYTIC OR ELECTROPHORETIC PROCESSES; APPARATUS THEREFOR
    • C25C—PROCESSES FOR THE ELECTROLYTIC PRODUCTION, RECOVERY OR REFINING OF METALS; APPARATUS THEREFOR
    • C25C3/00—Electrolytic production, recovery or refining of metals by electrolysis of melts
    • C25C3/06—Electrolytic production, recovery or refining of metals by electrolysis of melts of aluminium
    • C25C3/08—Cell construction, e.g. bottoms, walls, cathodes
    • C25C3/12—Anodes

Definitions

  • the present invention relates to the field of electrodes for electrolysis, the electrodes comprising at least a binding agent and a particulate material. More particularly, the present invention relates to adjusting the dosing of the binding agent during production of the electrodes in order to have optimized properties for the electrode.
  • Carbon anodes destined for electrolysis are produced from a mixture of a particulate material, such as petroleum coke, a binding material, such as coal tar pitch, and sometimes recycled anode butts returned from the smelting process.
  • a particulate material such as petroleum coke
  • a binding material such as coal tar pitch
  • Optimized dosing of the binding material in the anode production process is a key input for producing green anodes of good and stable quality.
  • a method for determining a dosing of a binding agent for combining with a particulate material to produce an electrode comprises determining a first index for a batch N of unbaked electrodes by calculating a projected baked density from parameters of the unbaked electrode of batch N; determining a second index for batch N by determining an image characteristic from an image of a surface of the unbaked electrode of batch N; comparing the first index for batch N to the first index of a batch N-1 to determine a first index change corresponding to one of an increase, a decrease, and no change; comparing the second index for batch N to the second index of batch N-1 to determine a second index change corresponding to one of an increase, a decrease, and no change; and determining a dosing of the binding agent for batch N+1 as a function of the first index change, the second index change, and a dosing difference between batch N and batch N-1 , the dosing difference corresponding to
  • a system for determining a dosing of a binding agent for combining with a particulate material to produce an electrode comprises a memory, a processor, and at least one application stored in the memory.
  • the application is executable by the processor for determining a first index for a batch N of unbaked electrodes by calculating a projected baked density from parameters of the unbaked electrode of batch N; determining a second index for batch N by determining an image characteristic from an image of a surface of the unbaked electrode of batch N; comparing the first index for batch N to the first index of a batch N-1 to determine a first index change corresponding to one of an increase, a decrease, and no change; comparing the second index for batch N to the second index of batch N-1 to determine a second index change corresponding to one of an increase, a decrease, and no change; and determining a dosing of the binding agent for batch N+1 as a function of the first index change, the second index change, and a dosing difference between batch N and batch N-1 , the dosing difference corresponding to one of an increase, a decrease, and no change.
  • a computer readable medium having stored thereon program code executable by a processor for determining a dosing of a binding agent for combining with a particulate material to produce an electrode.
  • the program code is executable for determining a first index for a batch N of unbaked electrodes by calculating a projected baked density from parameters of the unbaked electrode of batch N; determining a second index for batch N by determining an image characteristic from an image of a surface of the unbaked electrode of batch N; comparing the first index for batch N to the first index of a batch N-1 to determine a first index change corresponding to one of an increase, a decrease, and no change; comparing the second index for batch N to the second index of batch N-1 to determine a second index change corresponding to one of an increase, a decrease, and no change; and determining a dosing of the binding agent for batch N+1 as a function of the first index change, the second index change, and a dosing
  • Fig. 1 illustrates an exemplary curve for a first index to be considered for dosing the binding agent
  • Fig. 2 illustrates an exemplary curve for a second index to be considered for dosing the binding agent
  • Fig. 3 illustrates an exemplary graph of the behavior of the first index and the second index over a period of time
  • Fig. 4 illustrates another exemplary graph of the behavior of the first index and the second index over a period of time
  • FIG. 5 is a flowchart of an exemplary method for dosing the binding agent during production of the anode
  • Figs. 6a-6d are exemplary dosing protocols
  • Fig. 7 is an exemplary set-up for producing electrodes with a dose adjustment system
  • Fig. 8 is an exemplary embodiment for the dose adjustment system of Fig. 7;
  • Fig. 9 is an exemplary embodiment for an application running on the processor of the dose adjustment system of Fig. 8.
  • a binding agent is combined with a particulate material to produce the electrode with optimized properties.
  • the method and system may be applicable to the production of anodes and/or cathodes for electrolysis, such as carbon anodes and cathodes used in the aluminum industry.
  • the binding agent may be pitch, as derived from petroleum, coal tar, or plants, or any other similar material having properties that allow the particulate material to properly bind during the baking of the electrode.
  • the particulate material may comprise green coke grinded to various geometrical dimensions, including fine and ultrafine particles.
  • the particulate material may comprise used anode or cathode butts that remain after the production process and are sent back to be re-used.
  • the binding agent and particulate material form a paste that is pressed or vibrated into a mold to give it a shape, and subsequently baked in an industrial oven or baking furnace.
  • the dosing of the binding agent provided with the particulate material to form the paste is varied from batch to batch in a manner to optimize the properties of the electrode using a combination of two indices, namely a simulated baked density (SBD) and an image characteristic (LG).
  • SBD simulated baked density
  • LG image characteristic
  • the indices are correlated with the dosing of the binding agent in order to determine an optimal dosing level for the binding agent for each batch, as a function of a previous batch and a previous change in dosing level.
  • the SBD is a value calculated from the unbaked (or green) electrode. It may be calculated using either of the two following formulas:
  • the mass of the green anode may be reduced by a given amount, such as 5% to 15%, to obtain an estimate of the mass of the baked anode.
  • the SBD may have units of g/cc or kg/cc.
  • Figure 1 is a graph illustrating the correlation between the SBD and the percentage of binding agent in a given batch of unbaked electrode.
  • the SBD increases as the dosing of the binding agent increases, until it reaches a plateau and a change in dosing no longer affects it.
  • Position 102 on the curve 100 represents a given SBD for a given dosing of the binding agent.
  • An increase in the dosing of the binding agent from position 102 to position 104 produces a significant change in the SBD.
  • an increase in the binding agent from position 104 to position 106 does not produce a significant change in the SBD. It is desirable to maintain the dosing of the binding agent at a position on curve 100 where the beginning of the plateau is reached, i.e. a small decrease in binding agent will cause a decrease in the SBD index while a small increase in binding agent will not cause a significant change in the SBD.
  • the image characteristic index, or LG is obtained from analyzing an image taken of a surface of a batch of unbaked electrodes.
  • the image may be acquired using any type of image acquisition device capable of acquiring color or grayscale images, such as but not limited to digital cameras and image sensors using charge-coupled device (CCD) and/or complementary metal-oxide-semiconductor (CMOS) technology.
  • CCD charge-coupled device
  • CMOS complementary metal-oxide-semiconductor
  • the images may be still or moving.
  • the image characteristic may be determined using a level of gray from a grayscale image, a texture analysis, pattern recognition, color thresholding, or other machine vision analysis techniques.
  • the examples described herein use a percentage representative of a level of gray as the image characteristic. However, it should be understood that other image characteristics may also be used in a similar manner.
  • color images may be converted to grayscale using various techniques, such as colorimetry or luma coding.
  • the image may be recorded using a various number of bits per pixel, resulting in a corresponding distinct number of gray levels.
  • each pixel of the acquired image may be stored with 8 bits, which allows 256 levels of gray to be recorded.
  • 6 bit pixels, 10 bit pixels, and 12 bit pixels allow 64, 1024, and 4096 distinct gray levels, respectively.
  • the image acquisition device may be selected to obtain a desired number of distinct gray levels.
  • the gray level may be converted to a percentage, wherein 0% corresponds to the lightest shade and 100% corresponds to the darkest shade, or vice versa.
  • the scale will be presented as an increasing scale.
  • Various commercially available image processing softwares may be used to perform the analysis.
  • FIG. 2 is a graph illustrating the correlation between the LG and the percentage of binding agent in a given batch of unbaked electrode.
  • the LG behaves in an inverse but similar manner as the SBD. As shown, the LG decreases as the dosing of the binding agent increases, until it reaches a plateau and a change in dosing no longer affects it.
  • Position 202 on the curve 200 represents a given LG for a given dosing of the binding agent. An increase in the dosing of the binding agent from position 202 to position 204 produces a significant change in the LG. However, an increase in the binding agent from position 204 to position 206 does not produce a significant change in the LG.
  • the two indices are shown to have inverse behaviors at several instances over an extended period of time, as indicated by the large arrows between the SBD curve 302 and the LG curve 304.
  • the maximums in SBD correspond to the minimums in LG.
  • figure 4 shows that for a same SBD value 406a, 406b, on the SBD curve 402, it is possible to have two different LG values 408a, 408b on the LG curve 404. This shows that the two indices may be used together in various ways in order to lead to a desired result, and that considering the indices together will lead to different results than using them independently.
  • FIG. 5 is a flowchart of an exemplary method for producing an electrode.
  • Steps 500 represent a set of initializing steps, performed once at the beginning of the production of a plurality of batches of electrodes.
  • an initial batch of the unbaked electrode is produced.
  • the initial dosing may be about 15% of the total mass of the unbaked electrode.
  • the first dosing is 14.7%.
  • the first dosing is between 14% and 15%.
  • the first dosing is between 13% and 16%.
  • Other dosing levels may also be used for the binding agent in order to produce a first batch of the electrode of a desired quality.
  • first and second indices are determined for the initial batch.
  • the first index corresponds to the SBD while the second index corresponds to the LG. Both indices are correlated to the dosing of the binding agent, as per the curves shown in figures 1 and 2.
  • the SBD may be calculated from the known mass of the unbaked electrode, the known dosing of the binding agent, and the projected coking during the baking phase.
  • the LG is determined from an acquired image of the surface of the first batch of electrodes and corresponds to a level of gray assigned to the image from an image processing algorithm configured to determine the level of gray of a grayscale image.
  • the dosing for the next batch is intentionally set to a value greater than or less than the initial dosing.
  • the dosing change may be about 0.2%, about 0.3%, or about 0.4%.
  • the dosing change is 0.2%.
  • the dosing change is between 0.2% and 0.3%.
  • the dosing change is between 0.2% and 0.4%.
  • Other dosing changes may also be used in order to produce the second batch of the electrode.
  • the new dosing corresponds to the initial dosing ⁇ the dosing change determined at step 506.
  • the first and second indices for batch N and batch N-1 are compared to determine an increase, a decrease, or no change in each of the indices.
  • the indices may be compared absolutely, statistically, or using any other known comparison technique.
  • the comparison is performed using a statistical hypothesis test in which a test statistic follows a t-distribution, such as a Student's t-test.
  • a test statistic follows a t-distribution, such as a Student's t-test.
  • the dosing of batch N+1 is determined based on the comparison between the two indices.
  • Other types of analyses such as a non-parametric test, may also be used.
  • determining the dosing for batch N+1 comprises considering a decision tree, such as the ones illustrated in figures 6a-6d.
  • a decision tree such as the ones illustrated in figures 6a-6d.
  • SBD refers to the first index
  • LG refers to the second index
  • B refers to the dosing of the binding agent.
  • the arrows indicate whether the comparison between a present batch (batch N) and a previous batch
  • FIG. 6a (batch N-1 ) shows an increase ( ⁇ ), a decrease ⁇ ), or no change ( ⁇ ) .
  • Figures 6a and 6b illustrate a first embodiment for a first and a second dosing protocol, respectively. If the dosing of the binding agent for batch N was increased compared to the dosing of the binding agent for batch N-1 , the dosing protocol of figure 6a may be used to determine whether the dosing of batch N+1 should be increased or decreased. If the dosing of the binding agent for batch N was decreased compared to the dosing for the binding agent of batch N-1 , the dosing protocol of figure 6b may be used.
  • the dosing protocol of figure 6a indicates that the dosing of the binding agent for batch N+1 should be increased.
  • the dosing protocol of figure 6b indicates that the dosing of the binding agent for batch N+1 should be decreased.
  • the general rule followed by the dosing protocol of figure 6a is that the dosing for batch N+1 is increased if the second index shows an increase, or, if the first index shows an increase and the second index does not show a decrease. In all other situations, the dosing for batch N+1 is decreased.
  • the general rule followed by the dosing protocol of figure 6b is that the dosing is increased if the second index shows an increase, or, if the first index shows a decrease and the second index shows no change. In all other situations, the dosing for batch N+1 is decreased.
  • the dosing protocols of figures 6a and 6b may be used in an embodiment where the dosing level is always changed from one batch to the next.
  • Figures 6c and 6d illustrate another embodiment for the first and second dosing protocols, respectively.
  • the dosing for the binding agent of batch N+1 is maintained at the same level as that for batch N. This dosing for the binding agent may be kept for several iterations, until a change in either one of the indices is observed.
  • the dosing protocol for a previous increase in dosing i.e. figure 6c
  • the dosing protocol corresponding to the last noted change in dosing may be used (i.e. figure 6c or figure 6d).
  • steps 508, 510, 512, and 514 may be repeated any number of times, with N incrementing by "1 " at each iteration. Every new batch N is compared to a previous batch N-1 in order to determine a dosing of the binding agent for batch N+1 .
  • the dosing change between each batch is a constant value, such as ⁇ 0.2%.
  • the dosing change may vary from batch to batch, such as ⁇ 0.1 in some case, ⁇ 0.15 in some cases, and ⁇ 0.2 in some cases.
  • Other embodiments may be provided for the dosing protocols, in accordance with a desired quality of electrode.
  • the dosing protocols may be modified accordingly.
  • each batch of electrodes is produced with a predetermined ratio of ultrafine particles to binding agent.
  • the ultrafine particles may be obtained by grinding at least a portion of the particulate material in a ball mill.
  • the quantity of ultrafine particles for producing batch N may be adjusted as a function of the dosing of binding agent determined for batch N.
  • the method may comprise keeping track of an overall change in dosing of the binding agent and updating the quantity of ultrafine particles for producing the unbaked electrodes when the overall change reaches a predetermined level.
  • the predetermined level may be set to 0.4%, 0.5%, 0.6%, or any other value for which a change in the ratio between the ultrafine particles and the binding agent may affect the properties of the electrode as produced.
  • Adjustment to the quantity of ultrafine particles may be provided by feeding the ball mill with a predetermined quantity of the particulate material needed to obtain the desired quantity of ultrafine particles.
  • FIG 7 there is illustrated a dose adjustment system 702 operatively connected to an image acquisition device 704 and electrode production equipment 706.
  • the image acquisition device may be positioned strategically in order to obtain an image clear of the smoke produced by the processing of the green electrode.
  • the image acquisition device 704 may be provided separately from or incorporated within the dose adjustment system 702.
  • the dose adjustment system 702 may be integrated with the image acquisition device 704 either as a downloaded software application, a firmware application, or a combination thereof.
  • the image acquisition device 704 may be any instrument capable of recording images that can be stored directly, transmitted to another location, or both.
  • the dose adjustment system 702 may be integrated with the electrode production equipment 706 as a downloaded software application, a firmware application, or a combination thereof.
  • the electrode production equipment 706 may comprise any of the equipment or machinery typically used to produce electrodes, such as mills, feeders, baking ovens, conveyor belts, etc.
  • connections 708 may be provided to allow the dose adjustment system 702 to communicate with the image acquisition device 704.
  • the connections 708 may comprise wire-based technology, such as electrical wires or cables, and/or optical fibers.
  • the connections 708 may also be wireless, such as RF, infrared, Wi-Fi, Bluetooth, and others.
  • Connections 708 may therefore comprise a network, such as the Internet, the Public Switch Telephone Network (PSTN), a cellular network, or others known to those skilled in the art. Communication over the network may occur using any known communication protocols that enable devices within a computer network to exchange information.
  • PSTN Public Switch Telephone Network
  • Protocol Internet Protocol
  • UDP User Datagram Protocol
  • TCP Transmission Control Protocol
  • DHCP Dynamic Host Configuration Protocol
  • HTTP Hypertext Transfer Protocol
  • FTP File Transfer Protocol
  • Telnet Telnet Remote Protocol
  • SSH Secure Shell Remote Protocol
  • the dose adjustment system 702 may be accessible remotely from any one of a plurality of devices 710 over connections 708.
  • the devices 710 may comprise any device, such as a personal computer, a tablet, a smart phone, or the like, which is configured to communicate over the connections 708.
  • the dose adjustment system 702 may itself be provided directly on one of the devices 710, either as a downloaded software application, a firmware application, or a combination thereof.
  • the image acquisition device 704 may be integrated with one of the device 710.
  • the image acquisition device 704 and the dose adjustment system 702 are both provided directly on one of devices 710, either as a downloaded software application, a firmware application, or a combination thereof.
  • One or more databases 712 may be integrated directly into the dose adjustment system 702 or any one of the devices 710, or may be provided separately therefrom (as illustrated). In the case of a remote access to the databases 712, access may occur via connections 708 taking the form of any type of network, as indicated above.
  • the various databases 712 described herein may be provided as collections of data or information organized for rapid search and retrieval by a computer.
  • the databases 712 may be structured to facilitate storage, retrieval, modification, and deletion of data in conjunction with various data- processing operations.
  • the databases 712 may be any organization of data on a data storage medium, such as one or more servers.
  • the databases 712 illustratively have stored therein any one of acquired images, dosing protocols, SBD values, LG values, dosing changes, dosing levels, overall changes in dosing levels, and quantity of ultrafine particles for a given batch.
  • the dosing adjustment system 702 illustratively comprises one or more server(s) 800.
  • server(s) 800 For example, a series of servers corresponding to a web server, an application server, and a database server may be used. These servers are all represented by server 800 in Figure 8.
  • the server 800 may be accessed by a user, such as a technician or an operator, using one of the devices 710, or directly on the system 702 via a graphical user interface.
  • the server 800 may comprise, amongst other things, a plurality of applications 806a ... 806n running on a processor 804 coupled to a memory 802. It should be understood that while the applications 806a ... 806n presented herein are illustrated and described as separate entities, they may be combined or separated in a variety of ways.
  • the memory 802 accessible by the processor 804 may receive and store data.
  • the memory 802 may be a main memory, such as a high speed Random Access Memory (RAM), or an auxiliary storage unit, such as a hard disk, a floppy disk, or a magnetic tape drive.
  • the memory 802 may be any other type of memory, such as a Read-Only Memory (ROM), or optical storage media such as a videodisc and a compact disc.
  • the processor 804 may access the memory 802 to retrieve data.
  • the processor 804 may be any device that can perform operations on data. Examples are a central processing unit (CPU), a front-end processor, a microprocessor, and a network processor.
  • the applications 806a ... 806n are coupled to the processor 804 and configured to perform various tasks. An output may be transmitted to the image acquisition device 704, the electrode production equipment 706, and/or the devices 710.
  • Figure 9 is an exemplary embodiment of an application 806a running on the processor 804.
  • the application 806a illustratively comprises a first index module 902, a second index module 904, a comparison module 906, and a dose setting module 908.
  • the first index module 902 receives as input the parameters from the unbaked electrode needed to determine the first index, such as the mass of the unbaked electrode from batch N, the dosing of binding agent for batch N, and the green density of the electrode.
  • the parameters may be received from the electrode production equipment 706, one of the devices 710, or manually as entered by a user.
  • the input may comprise the parameters themselves or instructions to retrieve them from a storage medium, such as memory 802 or databases 712.
  • the second index module 904 receives as input the parameters needed to determine the second index, namely the grayscale image of the surface of the electrodes from batch N.
  • the second index module 904 illustratively receives input from the image acquisition device 704, one of the devices 710, or manually as entered by a user.
  • the input may comprise the grayscale image or instructions to retrieve/acquire the image.
  • the image may be stored in memory 802 or in databases 712 and an input is provided to the second index module 904 to retrieve the image.
  • a user input may instruct the second index module 904 to acquire the image using the image acquisition device 704.
  • the second index module 904 may be configured to automatically acquire an image using the image acquisition device 704, convert the image into grayscale if the acquired image is a color image, and process the image to obtain a level of gray.
  • the first index module 902 and the second index module 904 may be configured to provide the first and second indices, respectively, to the comparison module 906.
  • the comparison module 906 may be configured to compare the indices of batch N to the indices of batch N-1 to determine one of an increase, a decrease, or no change in either index.
  • the comparison module 906 may be configured to provide the determined index changes from batch N-1 to batch N to the dose setting module 908.
  • the dose setting module 908 may be configured to determine the dosing of the binding agent for batch N+1 as a function of the first index change, the second index change, and the dosing change between batch N- 1 and batch N.
  • the dose setting module 908 is configured to access a stored dosing protocol, such as in memory 802 or databases 712, and extract an appropriate dosing from the dosing protocol. This dosing is then output from the application 806a.
  • the dose setting module 908 is a rule- based system, such as an inference engine or a semantic reasoner, for applying a set of previously stored rules to the received input in accordance with a dosing protocol, in order to determine the appropriate dosing for batch N+1.
  • the comparison module 906 is configured to perform a statistical test to compare the indices, such as a Student's t-test.
  • the dose setting module 908 is configured to change the dosing of the binding agent, either increasing it or decreasing it for batch N+1 , by a constant and predetermined amount, such as 0.2%. In this embodiment, every dosing change is ⁇ 0.2%. Alternatively, the dosing changes may be of varying increments.
  • an ultrafine particles module 910 is provided and configured to determine a new quantity of particulate material needed to produce ultrafine particles in accordance with a predetermined ratio of ultrafine particles to binding agent, as a function of a new dosing for the binding agent as set by the dose setting module 908.
  • the ultrafine particles module 910 may be configured to adjust the production of ultrafine particles for each batch N.
  • the ultrafine particles module 910 may be configured to keep track of an overall change in dosing of the binding agent and update the parameters for the production of ultrafine particles when the overall change reaches a predetermined level.
  • Other variants to the configurations of the first index module 902, the second index module 904, the comparison module 906, and the dose setting module 908 may also be provided and the example illustrated is simply for illustrative purposes.

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Abstract

La présente invention concerne un procédé et un système permettant de déterminer un dosage d'un agent permettant la combinaison avec un matériau particulaire pour produire une électrode. Deux indices, à savoir une densité de cuisson simulée et une caractéristique d'image, sont obtenues à partir d'une électrode non cuite d'un lot N. Les indices et les données provenant des lots N et N - 1 sont utilisés dans le but de déterminer un dosage de l'agent de liaison pour le lot N + 1.
PCT/CA2015/050811 2014-08-29 2015-08-25 Dosage de détermination d'agent de liaison permettant la combinaison avec un matériau particulaire pour produire une électrode WO2016029306A1 (fr)

Priority Applications (5)

Application Number Priority Date Filing Date Title
RU2017110257A RU2639090C1 (ru) 2014-08-29 2015-08-25 Определение дозировки связующего вещества для объединения с дисперсным материалом с получением электрода
CN201580058657.6A CN107075706A (zh) 2014-08-29 2015-08-25 确定用于与颗粒材料结合以制备电极的粘合剂的配量
AU2015309643A AU2015309643B2 (en) 2014-08-29 2015-08-25 Determining dosing of binding agent for combining with particulate material to produce an electrode
CA2959447A CA2959447C (fr) 2014-08-29 2015-08-25 Dosage de determination d'agent de liaison permettant la combinaison avec un materiau particulaire pour produire une electrode
EP15835400.1A EP3186412A4 (fr) 2014-08-29 2015-08-25 Dosage de détermination d'agent de liaison permettant la combinaison avec un matériau particulaire pour produire une électrode

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US201462043626P 2014-08-29 2014-08-29
US62/043,626 2014-08-29

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EP3186412A1 (fr) 2017-07-05
AU2015309643B2 (en) 2017-10-26
RU2639090C1 (ru) 2017-12-19
CA2959447A1 (fr) 2016-03-03
CN107075706A (zh) 2017-08-18
EP3186412A4 (fr) 2017-08-09
CA2959447C (fr) 2017-08-22

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