Roller furnace sintering material surface-material core temperature prediction method

Abstract

The invention relates to the field of industrial kilns, in particular to a roller furnace sintering material surface-material core temperature prediction method which comprises the following steps: S1, building a roller furnace cooling test platform which comprises a roller furnace cooling section, the roller furnace cooling section conveys a sagger through a conveying roller, and the sagger is connected with the roller furnace cooling section; an upper cooling layer and a lower cooling layer are arranged at the top and the bottom of the roller bed furnace cooling section respectively, fin water cooling pipes are arranged in the upper cooling layer and the lower cooling layer respectively, and the fin water cooling pipes are parallel to the axis of the conveying roller. Obtaining data sets of material tables, material centers and cooling time under different cooling working conditions; s2, performing scatter fitting on the data set in the step S1 to obtain a charge table temperature prediction function T (i); s3, measuring a material surface temperature parameter T (initial) at an initial moment and a material core temperature parameter q (initial) at the initial moment when the sagger enters a cooling section of the roller bed furnace under any working condition; and S4, establishing an intermediary heat flux density calculation formula S (i) and a material core cooling rate calculation formula E (i), substituting T (initial) and q (initial), and carrying out recursive calculation on the material core temperature q (i). According to the method, prediction of the material surface-material core temperature of the material in the roller bed furnace is realized.

Description

Technical Field

[0001] The invention relates to the field of industrial kilns, and in particular to a method for predicting the temperature of a material surface and a material core of a roller furnace sintering material. Background Art

[0002] Roller furnace is an important part of the sintering production process of lithium battery materials. Its cooling efficiency and reliability directly affect the economic efficiency of lithium battery material production. However, the cooling discharge temperature under different working conditions will be different. Low cooling efficiency will directly lead to longer production time; high discharge temperature will reduce the durability of the back-end production line equipment or even damage it.

[0003] Therefore, in order to improve the economic efficiency of production, for the discharge under different working conditions, it is necessary to dynamically adjust the cooling parameters in the roller furnace according to the temperature drop of the material surface and the core, so as to adjust the discharge temperature to near the target value. In order to realize the temperature monitoring, the main means at present is to arrange a large number of thermocouples and thermal parameter detection instruments in the cooling section of the roller furnace; as described in the publication number "CN109945650A", a temperature sensor is used as a temperature data acquisition element, and the heating power of the main heating unit and the auxiliary heating unit is regulated by a closed-loop feedback method. However, in this scheme of using a temperature sensor to monitor the temperature, the value of the temperature sensor can only reflect the furnace temperature in the roller furnace. There is always a certain difference between the furnace temperature and the temperature of the material surface and the core of the material and the furnace temperature. Adjusting the cooling parameters according to the furnace temperature in the roller furnace will inevitably fail to obtain the ideal discharge temperature; even if the position of the temperature sensor is adjusted to make it extremely close to the surface of the material, it can only monitor the surface temperature of the material, but cannot monitor the core temperature, so it is urgent to solve. Summary of the invention

[0004] In order to avoid and overcome the technical problems existing in the prior art, the present invention provides a method for predicting the surface-core temperature of materials sintered in a roller hearth furnace. The present invention predicts the surface-core temperature of materials in a roller hearth furnace.

[0005] To achieve the above object, the present invention provides the following technical solutions:

[0006] A method for predicting the material core temperature of a material sintered in a roller furnace comprises the following steps:

[0007] S1. Build a roller furnace cooling test platform. The roller furnace cooling test platform includes a roller furnace cooling section. The roller furnace cooling section conveys the sagger through a conveying roller. The top and bottom of the roller furnace cooling section are respectively provided with an upper cooling layer and a lower cooling layer. The upper cooling layer and the lower cooling layer are both provided with fin water cooling tubes. Each fin water cooling tube is arranged parallel to the axis of the conveying roller.

[0008] Obtain the material list, material center and cooling time data set under different cooling conditions;

[0009] S2, performing scatter point fitting on the data set in step S1 to obtain a material surface temperature prediction function T(i);

[0010] T(i)=10^(2.83149-0.003289i-0.005979h-0.014017j+0.000389k+0.009919l-0.000064ih-0.000048ij-5.06112*10 -0.7 ik+0.000091il+0.000093hj-7.93907*10 -0.6 hk+0.001298hl+0.000036jk+0.000215jl+4.20065*10 -0.6 kl+1.73115*10 -0.6 i 2 -0.000431h 2 +0.000420j 2 -6.88957*10 -0.7 k 2 -0.001213l 2 );

[0011] Wherein, i represents the cooling time of the material in the sagger;

[0012] h represents the number of finned water cooling tubes in the upper cooling layer;

[0013] j represents the number of finned water-cooling tubes in the upper cooling layer;

[0014] k represents the cooling water flow rate through each fin water cooling tube;

[0015] l represents the amount of pots in the sagger;

[0016] S3. Under any working conditions, when the sagger enters the cooling section of the roller furnace, measure the material surface temperature parameter T at the initial moment. (初始) And the material core temperature parameter q at the initial moment (初始) ;

[0017] S4. Build the calculation formula S(i) for the heat flux density of the medium and the calculation formula E(i) for the cooling rate of the core, and substitute T (初始) and q (初始) , recursively calculate the material center temperature q(i);

[0018] S(i)=[T(i)+q(i)+2000]×[q(i)-p(i)] / 1000;

[0019] E(i)=(-0.00060l+0.01029)×S(i)-0.06326;

[0020] q(i)=q(i-1)-E(i-1).

[0021] As a further solution of the present invention: the furnace length of the roller furnace cooling section is 1450 mm, the furnace width is 1200 mm, and the furnace height is 1300 mm.

[0022] As a further solution of the present invention: the finned water-cooling tube is made of a steel-aluminum composite material, the total length of the finned water-cooling tube is 1320 mm, the fin diameter of the finned water-cooling tube is 38 mm, the thickness of the finned water-cooling tube is 0.6 mm, the base tube diameter of the finned water-cooling tube is 18 mm, the base tube thickness of the finned water-cooling tube is 2 mm, and the cross-sectional area of ​​the cooling water outlet of the finned water-cooling tube is 154 mm 2 .

[0023] As a further solution of the present invention: the fins of the finned water-cooling tube are arranged at intervals of 5 mm.

[0024] An electronic device comprises a processor, an input device, an output device and a memory, wherein the processor, the input device, the output device and the memory are connected in sequence, the memory is used to store a computer program, the computer program comprises program instructions, and the processor is configured to call the program instructions to execute the material table-core temperature prediction method for sintering materials in a roller furnace.

[0025] A readable storage medium stores a computer program, wherein the computer program includes program instructions, and when the program instructions are executed by a processor, the processor executes the method for predicting the material table and material core temperature of a roller furnace sintered material.

[0026] Compared with the prior art, the present invention has the following beneficial effects:

[0027] 1. The present invention establishes a material surface temperature prediction function, and predicts the material surface temperature at any time according to the material cooling time in the cooling section of the roller furnace, the number of fin water-cooling tubes, the cooling water flow through the fin water-cooling tubes, and the amount of the sagger in the sagger; the intermediate heat flux density calculation formula and the material center cooling rate calculation formula are established. After substituting the material center temperature and the material surface temperature at the initial moment, the intermediate heat flux density and the material center cooling rate predicted at any time can be obtained through continuous recursion of the formula, and finally the predicted material center temperature is obtained. According to the predicted material surface-material center temperature, the cooling parameters can be dynamically adjusted to enable the material to obtain an ideal discharge temperature and achieve optimal production economy. BRIEF DESCRIPTION OF THE DRAWINGS

[0028] Figure 1 It is a structural schematic diagram of the present invention.

[0029] In the figure:

[0030] 1. Roller furnace cooling section; 11. Conveyor roller; 12. Upper cooling layer; 13. Lower cooling layer;

[0031] 14. Finned water-cooling tube; 2. Sagger. DETAILED DESCRIPTION

[0032] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0033] See also Figure 1 In an embodiment of the present invention, a method for predicting the material surface-core temperature of a roller furnace sintering material is provided.

[0034] The steps include:

[0035] S1. Build a roller furnace cooling test platform to obtain the material table, material center and cooling time data set under different cooling conditions;

[0036] The roller furnace cooling test platform comprises a roller furnace cooling section 1. Conveying rollers 11 are arranged along the length direction in the furnace of the roller furnace cooling section 1 for conveying saggers 2. The furnace length of the roller furnace cooling section 1 is 1450 mm, the furnace width is 1200 mm, and the furnace height is 1300 mm.

[0037] The top and bottom of the roller furnace cooling section 1 are respectively provided with an upper cooling layer 12 and a lower cooling layer 13. The upper cooling layer 12 and the lower cooling layer 13 are both provided with finned water cooling tubes 14 at intervals in a direction parallel to the conveying roller 11, and the fin spacing of the finned water cooling tubes 14 is preferably 5 mm; each finned water cooling tube 14 runs through the roller furnace cooling section 1 and is arranged parallel to the conveying roller 11, and each finned water cooling tube 14 is externally connected to a water pump to circulate cooling water into the finned water cooling tube 14.

[0038] The finned water-cooling tube 14 is preferably made of a steel-aluminum composite material. The total length of the finned water-cooling tube 14 is 1320 mm, the fin diameter of the finned water-cooling tube 14 is 38 mm, the thickness of the finned water-cooling tube 14 is 0.6 mm, the base tube diameter of the finned water-cooling tube 14 is 18 mm, the base tube thickness of the finned water-cooling tube 14 is 2 mm, and the cross-sectional area of ​​the cooling water outlet of the finned water-cooling tube 14 is 154 mm 2 .

[0039] Among them, the distance between the center point of the finned water-cooling tube 14 located in the upper layer and the center of the sagger is preferably 240 mm, and the distance between the center point of the finned water-cooling tube 14 located in the lower layer and the center of the sagger is preferably 300 mm.

[0040] S2, performing scatter point fitting on the data set in step S1 to obtain a material surface temperature prediction function T(i);

[0041] T(i)=10^(2.83149-0.003289i-0.005979h-0.014017j+0.000389k+0.009919l-0.000064ih-0.000048ij-5.06112*10 -0.7 ik+0.000091il+0.000093hj-7.93907*10 -0.6 hk+0.001298hl+0.000036jk+0.000215jl+4.20065*10 -0.6 kl+1.73115*10 -0.6 i 2 -0.000431h 2 +0.000420j 2 -6.88957*10 -0.7 k 2 -0.001213l 2 );

[0042] Wherein, i represents the cooling time of the material;

[0043] h represents the number of finned water cooling tubes 14 in the upper cooling layer 12;

[0044] j represents the number of finned water cooling tubes 14 in the upper cooling layer 13;

[0045] k represents the cooling water flow rate passing through each fin water cooling tube 14;

[0046] l represents the amount of sagger 2;

[0047] S3. Under any working condition, when the sagger 2 enters the roller furnace cooling section 1, measure the material surface temperature parameter T at the initial moment. (初始) And the material core temperature parameter q at the initial moment (初始) ;

[0048] S4. Build the calculation formula S(i) for the heat flux density of the medium and the calculation formula E(i) for the cooling rate of the core, and substitute T (初始) and q (初始) , recursively calculate the material center temperature q(i);

[0049] S(i)=[T(i)+q(i)+2000]×[q(i)-p(i)] / 1000;

[0050] E(i)=(-0.00060l+0.01029)×S(i)-0.06326;

[0051] q(i)=q(i-1)-E(i-1).

[0052] Substitute T (初始) and q (初始) After being added to the intermediate heat flux calculation formula S(i), the intermediate heat flux density S of the sagger at the initial moment can be obtained. (初始) , S (初始) Substituting into the material center cooling rate calculation formula E(i), the material center cooling rate at the initial moment can be obtained: (初始) , then according to E (初始) and q (初始) Predictable q (初始+1) The material center temperature at each moment can be combined with formula T(i) and continuously recursively calculated to calculate and predict the material surface and material center temperature at each moment.

[0053] The specific control test groups are as follows:

[0054] Experimental group 1: The upper cooling layer 12 is provided with three groups of finned water-cooling tubes 14, and the lower cooling layer 13 is provided with three groups of finned water-cooling tubes 14. The cooling water flow rate of each finned water-cooling tube 14 is 350L / h, and the single pot filling amount is 7kg.

[0055] Under this design condition, temperature sensors are installed at the material center and the material surface. Through calculation, it is predicted that the temperature of the material surface at the 200th minute is 171.3℃, the temperature of the material center is 231.8℃, and the temperature of the material surface measured by the temperature sensor is 172.6℃, and the temperature of the material center is 233.4℃. Through calculation, it is predicted that the temperature of the material surface at the 360th minute is 106.9℃, the temperature of the material center is 146.2℃, and the temperature of the material surface measured by the temperature sensor is 107.7℃, and the temperature of the material center is 147.6℃.

[0056] Experimental group 2: The upper cooling layer 12 is provided with three groups of finned water-cooling tubes 14, and the lower cooling layer 13 is provided with three groups of finned water-cooling tubes 14. The cooling water flow rate of each finned water-cooling tube 14 is 250L / h, and the single pot filling amount is 7kg.

[0057] It is predicted that the temperature of the material surface at the 200th minute is 175°C, the temperature of the material core is 235.1°C, and the temperature of the material surface measured by the temperature sensor is 177.4°C, and the temperature of the material core is 236.6°C. Through calculation, it is predicted that the temperature of the material surface at the 360th minute is 110.6°C, the temperature of the material core is 149.7°C, and the temperature of the material surface measured by the temperature sensor is 113.2°C, and the temperature of the material core is 152°C.

[0058] Experimental group 3: The upper cooling layer 12 is provided with three groups of finned water-cooling tubes 14, and the lower cooling layer 13 is provided with three groups of finned water-cooling tubes 14. The cooling water flow rate of each finned water-cooling tube 14 is 350L / h, and the single pot filling capacity is 10kg.

[0059] The predicted temperature of the material surface at the 200th minute is 191.1°C, the material core temperature is 341.9°C, the temperature sensor actually measured the material surface temperature is 188.9°C, the material core temperature is 339.2°C. Through calculation, the predicted temperature of the material surface at the 360th minute is 126.8°C, the material core temperature is 219.3°C, the temperature sensor actually measured the material surface temperature is 124.3°C, the material core temperature is 222.7°C.

[0060] Through the tests of multiple experimental groups, it can be seen that the predicted temperature under different working conditions of this application is relatively consistent with the measured temperature.

[0061] Another embodiment of the present application is an electronic device.

[0062] The electronic device may be the mobile device itself, or a stand-alone device independent of the mobile device, which may communicate with the mobile device to receive the collected input signals from the mobile device and send the selected target decision behavior to the mobile device.

[0063] An electronic device includes one or more processors and memory.

[0064] The processor may be a central processing unit (CPU) or other forms of processing units having data processing capabilities and / or instruction execution capabilities, and may control other components in the electronic device to perform desired functions.

[0065] The memory may include one or more computer program products, and the computer program product may include various forms of computer-readable storage media, such as volatile memory and / or non-volatile memory. The volatile memory may include, for example, random access memory (RAM) and / or cache memory (cache), etc. The non-volatile memory may include, for example, read-only memory (ROM), hard disk, flash memory, etc. One or more computer program instructions may be stored on the computer-readable storage medium, and the processor may run the program instructions to implement the various embodiments of the present application described above, a method for predicting the material table-core temperature of a roller furnace sintering material.

[0066] In one example, the electronic device may further include: an input device and an output device, and these components are interconnected through a bus system and / or other forms of connection mechanisms. For example, the input device may include various devices such as an on-board diagnostic system (OBD), a camera, an industrial camera, etc. The input device may also include, for example, a keyboard, a mouse, etc. The output device may include, for example, a display, a speaker, a printer, and a communication network and a remote output device connected thereto, etc.

[0067] In addition, the electronic device may further include any other appropriate components according to specific application scenarios.

[0068] Another embodiment of the present application may also be a computer program product, which includes computer program instructions, which, when executed by a processor, enable the processor to execute the calculation steps according to various embodiments of the present application described in the above-mentioned roller furnace sintering material table-core temperature prediction method in this specification.

[0069] The computer program product may be written in any combination of one or more programming languages ​​to write program codes for performing the operations of the embodiments of the present application, including object-oriented programming languages, such as Java, C++, etc., and conventional procedural programming languages, such as "C" language or similar programming languages. The program code may be executed entirely on the user computing device, partially on the user device, as an independent software package, partially on the user computing device and partially on a remote computing device, or entirely on a remote computing device or server.

[0070] In addition, an embodiment of the present application may also be a computer-readable storage medium having computer program instructions stored thereon, which, when executed by a processor, enables the processor to execute a roller furnace sintering material table-core temperature prediction method in this specification.

[0071] The computer readable storage medium can adopt any combination of one or more readable media. The readable medium can be a readable signal medium or a readable storage medium. The readable storage medium can include, for example, but is not limited to, a system, device or device of electricity, magnetism, light, electromagnetic, infrared, or semiconductor, or any combination of the above. More specific examples (non-exhaustive list) of readable storage media include: an electrical connection with one or more wires, a portable disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the above.

[0072] The basic principles of the present application are described above in conjunction with specific embodiments. However, it should be noted that the advantages, strengths, effects, etc. mentioned in the present application are only examples and not limitations, and it cannot be considered that these advantages, strengths, effects, etc. are required by each embodiment of the present application. In addition, the specific details disclosed above are only for the purpose of illustration and ease of understanding, not for limitation, and the above details do not limit the present application to being implemented by adopting the above specific details.

[0073] The block diagrams of the devices, apparatuses, equipment, and systems involved in this application are only illustrative examples and are not intended to require or imply that they must be connected, arranged, and configured in the manner shown in the block diagram. As will be appreciated by those skilled in the art, these devices, apparatuses, equipment, and systems can be connected, arranged, and configured in any manner. Words such as "including", "comprising", "having", etc. are open words, referring to "including but not limited to", and can be used interchangeably with them. The words "or" and "and" used here refer to the words "and / or" and can be used interchangeably with them, unless the context clearly indicates otherwise. The words "such as" used here refer to the phrase "such as but not limited to", and can be used interchangeably with them.

Claims

1. A method for predicting the material surface-core temperature of a roller furnace sintered material, characterized in that: The steps include: S1. A roller furnace cooling test platform is constructed. The roller furnace cooling test platform comprises a roller furnace cooling section (1). The roller furnace cooling section (1) transports the sagger (2) via a conveying roller (11). An upper cooling layer (12) and a lower cooling layer (13) are respectively arranged at the top and the bottom of the roller furnace cooling section (1). Finned water cooling tubes (14) are arranged in the upper cooling layer (12) and the lower cooling layer (13). Each finned water cooling tube (14) is arranged parallel to the axis of the conveying roller (11). Obtain the material list, material center and cooling time data set under different cooling conditions; S2, performing scatter point fitting on the data set in step S1 to obtain a material surface temperature prediction function T(i); T(i)=10^(2.83149-0.003289i-0.005979h-0.014017j+0.000389k+0.009919l-0.000064ih-0.000048ij-5.06112*10 -0.7 ik+0.000091il+0.000093hj-7.93907*10 -0.6 hk+0.001298hl+0.000036jk+0.000215jl+4.20065*10 -0.6 kl+1.73115*10 -0.6 i 2 -0.000431h 2 +0.000420j 2 -6.88957*10 -0.7 k 2 -0.001213l 2 ); Wherein, i represents the cooling time of the material in the sagger (2); h represents the number of finned water cooling tubes (14) in the upper cooling layer (12); j represents the number of finned water cooling tubes (14) in the upper cooling layer (13); k represents the cooling water flow rate passing through each fin water cooling tube (14); l represents the amount of pots filled in the sagger (2); S3. Under any working condition, when the sagger (2) enters the roller furnace cooling section (1), the material surface temperature parameter T is measured at the initial moment. (初始) And the material core temperature parameter q at the initial moment (初始) ; S4. Build the calculation formula S(i) for the heat flux density of the medium and the calculation formula E(i) for the cooling rate of the core, and substitute T (初始) and q (初始) , recursively calculate the material center temperature q(i); S(i)=[T(i)+q(i)+2000]×[q(i)-p(i)] / 1000; E(i)=(-0.00060l+0.01029)×S(i)-0.06326; q(i)=q(i-1)-E(i-1).

2. The method for predicting the material surface and material core temperature of roller hearth furnace sintering material according to claim 1, characterized in that: The roller furnace cooling section (1) has a furnace length of 1450 mm, a furnace width of 1200 mm and a furnace height of 1300 mm.

3. The method for predicting the material surface and material core temperature of roller hearth furnace sintering material according to claim 1, characterized in that: The finned water-cooling tube (14) is made of a steel-aluminum composite material, the total length of the finned water-cooling tube (14) is 1320 mm, the fin diameter of the finned water-cooling tube (14) is 38 mm, the thickness of the finned water-cooling tube (14) is 0.6 mm, the base tube diameter of the finned water-cooling tube (14) is 18 mm, the base tube thickness of the finned water-cooling tube (14) is 2 mm, and the cross-sectional area of ​​the cooling water outlet of the finned water-cooling tube (14) is 154 mm 2 .

4. The method for predicting the material surface and material core temperature of roller hearth furnace sintering material according to claim 3, characterized in that: The fins of the finned water-cooling tube (14) are arranged at intervals of 5 mm.

5. An electronic device, characterized in that: The method comprises a processor, an input device, an output device and a memory, wherein the processor, the input device, the output device and the memory are connected in sequence, the memory is used to store a computer program, the computer program comprises program instructions, and the processor is configured to call the program instructions to execute a method for predicting the material table and core temperature of sintered materials in a roller furnace as claimed in any one of claims 1 to 4.

6. A readable storage medium, characterized in that: The storage medium stores a computer program, which includes program instructions. When the program instructions are executed by a processor, the processor executes a method for predicting the material table and core temperature of a roller furnace sintering material as claimed in any one of claims 1 to 4.

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