A method and apparatus for increasing the rollability of a weld

By analyzing the welding parameters of cold-rolled high-silicon materials, the optimal welding parameters were determined to improve the weld roll yield, thus solving the weld fracture problem and improving production efficiency and cost.

CN115846417BActive Publication Date: 2026-04-14SHOUGANG ZHIXIN QIAN AN ELECTROMAGNETIC MATERIALS CO LTD
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2022-11-16
Publication Date
2026-04-14

AI Technical Summary

Technical Problem

Frequent weld seams in cold-rolled high-silicon materials break during the rolling process, resulting in a low weld seam rolling rate, reduced production efficiency, and increased costs.

Method used

By setting different welding parameters, multiple sample welded sections are obtained. The sample cross-sections are cut, and the weld width, grain diameter, and grain boundary precipitation qualification rate are analyzed. The welding parameter closest to 1 is determined as the target parameter and applied to production.

Benefits of technology

Increase the weld seam rolling rate to achieve stable production of the cold rolling mill, improve production efficiency and reduce costs.

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Abstract

The application relates to the rolling technology field of metal, in particular to a method and device for improving a welding seam rolling rate, the method comprising the following steps: obtaining multiple sample welding sections by setting different welding parameters; cutting the sample welding sections from the thickness direction along a plane perpendicular to the welding seam direction to obtain sample sections; determining the welding seam rolling rate corresponding to the sample sections based on the welding seam width qualified rate, the welding seam grain diameter qualified rate and the welding seam grain boundary precipitation qualified rate of the obtained sample sections; and applying the welding parameters corresponding to the sample section with the welding seam rolling rate closest to 1 as target parameters to production. The application effectively improves the welding seam rolling rate, thereby bringing about the technical effects of stable production of a cold rolling unit, improved strip rolling rate, improved production efficiency and reduced production cost.
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Description

Technical Field

[0001] This application relates to the field of metal rolling technology, and more particularly to a method and apparatus for improving weld roll yield. Background Technology

[0002] On a cold rolling production line, two steel coils are first joined together using welding technology, and then the weld formed by the two coils is fed into a rolling mill for rolling. For cold-rolled high-silicon steel coils, due to the influence of the internal alloy composition of these materials, the welds frequently fracture as they pass through the rolling mill, leading to rolling failures. A low weld rollout rate not only reduces the overall production efficiency of the line but also increases the company's production costs. Summary of the Invention

[0003] This application provides a method and apparatus for improving the weld seam rolling rate, which solves the technical problem of low rolling rate of weld seams formed from cold-rolled high-silicon materials during the rolling process. This achieves the technical effect of improving the weld seam rolling rate, thereby increasing enterprise production efficiency and reducing enterprise production costs.

[0004] In a first aspect, this application provides a method for improving weld roll yield, the method comprising:

[0005] Multiple sample welding segments were obtained by setting different welding parameters; wherein, the sample welding segment includes a weld and a first base material and a second base material on both sides of the weld;

[0006] The sample weld section is cut along a plane perpendicular to the weld direction from the thickness direction to obtain a sample cross section;

[0007] Based on the weld width qualification rate, weld grain diameter qualification rate, and weld grain boundary precipitation qualification rate of the obtained sample cross-section, the weld rolling rate corresponding to the sample cross-section is determined.

[0008] The welding parameters corresponding to the sample section with the weld roll ratio closest to 1 are used as target parameters in production.

[0009] Furthermore, the welding parameters include, but are not limited to, one or more of the following: the type and ratio of the shielding gas used for welding, welding speed, spacing value, annealing current value, and wire feed speed.

[0010] Furthermore, the weld width qualification rate is obtained through the following steps:

[0011] Obtain the average thickness of the first base material and the second base material, as well as the weld width;

[0012] Calculate the first ratio of the average thickness to the weld width, and determine the weld width qualification rate corresponding to the first ratio.

[0013] Furthermore, the weld grain diameter qualification rate is obtained through the following steps:

[0014] Obtain the maximum value of the grain diameter in the weld zone of the weld, and the weld width at the location of the grain corresponding to the maximum value of the grain diameter in the weld zone;

[0015] Using the formula b=m / (0.5) l), to obtain the second ratio;

[0016] In the formula, b represents the second ratio;

[0017] m represents the maximum grain diameter in the weld zone;

[0018] l represents the weld width at the location of the grain corresponding to the maximum grain diameter in the weld zone;

[0019] Determine the weld grain diameter qualification rate corresponding to the second ratio.

[0020] Furthermore, the qualified rate of grain boundary precipitation in the weld is obtained through the following steps:

[0021] Obtain the precipitation frequency of iron carbide precipitated in the sample cross section;

[0022] Determine the qualified rate of the weld grain boundary precipitation corresponding to the precipitation frequency.

[0023] Furthermore, determining the weld rolling rate corresponding to the sample cross-section based on the obtained weld width qualification rate, weld grain diameter qualification rate, and weld grain boundary precipitation qualification rate includes the following steps:

[0024] The weld roll ratio is calculated using the following formula:

[0025] Weld rolling ratio = weld width coefficient Weld width qualification rate + weld grain diameter coefficient Weld grain diameter qualification rate + weld grain boundary precipitation coefficient Weld grain boundary precipitation pass rate;

[0026] Wherein, weld width coefficient + weld grain diameter coefficient + weld grain boundary precipitation coefficient = 1.

[0027] Furthermore, the method also includes establishing a deep learning model based on the welding parameters to improve the weld roll yield.

[0028] Secondly, this application provides an apparatus for improving weld roll yield, the apparatus comprising:

[0029] The first acquisition module is used to acquire multiple sample welding segments by setting different welding parameters; wherein, the sample welding segment includes a weld and a first base material and a second base material on both sides of the weld;

[0030] The second acquisition module is used to cut the welded section of the sample along a plane perpendicular to the weld direction from the thickness direction to obtain the sample cross section.

[0031] The analysis module is used to determine the weld rolling rate corresponding to the sample cross section based on the obtained weld width qualification rate, weld grain diameter qualification rate, and weld grain boundary precipitation qualification rate of the sample cross section.

[0032] The confirmation module is used to apply the welding parameters corresponding to the sample section with the weld roll ratio closest to 1 as target parameters in production.

[0033] Thirdly, this application provides an electronic device including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the program to implement the steps of the method described in any of the first aspects.

[0034] Fourthly, this application provides a computer-readable storage medium having a computer program stored thereon that, when executed by a processor, implements the steps of any of the methods described in the first aspect.

[0035] One or more technical solutions in the embodiments of the present invention have at least the following technical effects or advantages:

[0036] In this embodiment of the invention, multiple sample weld segments are obtained by setting different welding parameters. Each sample weld segment includes a weld and first and second base materials on both sides of the weld. The sample weld segment is cut along a plane perpendicular to the weld direction from the thickness direction to obtain a sample cross-section. Based on the weld width qualification rate, weld grain diameter qualification rate, and weld grain boundary precipitation qualification rate of the obtained sample cross-section, the weld rolling rate corresponding to the sample cross-section is determined. The welding parameters corresponding to the sample cross-section with the weld rolling rate closest to 1 are used as target parameters in production. This embodiment of the invention obtains and analyzes sample cross-sections based on different welding parameters to determine the welding parameters corresponding to the highest weld rolling rate. Applying the determined welding parameters to the welding of the cold rolling production line effectively improves the weld rolling rate, resulting in stable production of the cold rolling mill, increased strip rolling rate, improved production efficiency, and reduced production costs. Attached Figure Description

[0037] Various other advantages and benefits will become apparent to those skilled in the art upon reading the following detailed description of preferred embodiments. The accompanying drawings are for illustrative purposes only and are not intended to limit the invention. Furthermore, the same reference numerals denote the same parts throughout the drawings. In the drawings:

[0038] Figure 1 A flowchart illustrating the steps in an embodiment of the present invention is shown;

[0039] Figure 2 This diagram illustrates the metallographic structure of a sample cross-section in metallographic analysis according to an embodiment of the present invention.

[0040] Figure 3 This diagram illustrates the grain boundary precipitation of a sample cross-section during electron microscopy analysis in an embodiment of the present invention.

[0041] Figure 4 A schematic diagram of an electronic structure device according to an embodiment of the present invention is shown. Detailed Implementation

[0042] Exemplary embodiments of the present disclosure will now be described in more detail with reference to the accompanying drawings. While exemplary embodiments of the present disclosure are shown in the drawings, it should be understood that the present disclosure may be implemented in various forms and should not be limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the disclosure to those skilled in the art.

[0043] Example 1

[0044] Embodiment 1 of this application provides a method for improving the weld roll ratio, thereby solving the technical problem of low weld roll ratio in the prior art.

[0045] To solve the above-mentioned technical problems, the overall technical solution of Embodiment 1 of this application is as follows:

[0046] Multiple sample weld segments are obtained by setting different welding parameters; wherein, the sample weld segment includes a weld and a first base material and a second base material on both sides of the weld; the sample weld segment is cut along the thickness direction in a plane perpendicular to the weld direction to obtain a sample cross-section; based on the weld width qualification rate, weld grain diameter qualification rate, and weld grain boundary precipitation qualification rate of the obtained sample cross-section, the weld rolling rate corresponding to the sample cross-section is determined; the welding parameters corresponding to the sample cross-section with the weld rolling rate closest to 1 are used as target parameters for production.

[0047] This embodiment obtains and analyzes sample cross-sections based on different welding parameters to determine the welding parameters corresponding to the highest weld rolling rate. The determined welding parameters are then applied to the welding of the cold rolling production line to effectively improve the weld rolling rate, thereby increasing production efficiency and reducing production costs.

[0048] To better understand the above technical solutions, the following will provide a detailed explanation of the technical solutions in conjunction with the accompanying drawings and specific implementation methods.

[0049] First, it should be clarified that the term "and / or" in this article is merely a description of the relationship between related objects, indicating that three relationships can exist. For example, A and / or B can represent: A existing alone, A and B existing simultaneously, or B existing alone. Additionally, the character " / " in this article generally indicates that the preceding and following related objects have an "or" relationship.

[0050] This embodiment provides, for example Figure 1 The method shown is a method for improving the weld roll ratio, the method including steps S101-S104.

[0051] Step S101: Set different welding parameters to obtain multiple sample welding segments; wherein, the sample welding segment includes a weld and a first base material and a second base material on both sides of the weld;

[0052] During welding, shielding gas promotes weld formation and increases the wire melting rate. Welding speed, GAP spacing, annealing current, and wire feed speed all play important roles in weld formation quality, which in turn affects the weld yield. Therefore, in Example 1, one or more of the following welding parameters—the type and ratio of shielding gas, welding speed, GAP spacing, annealing current, and wire feed speed—are used as experimental welding parameters, and no specific restrictions are imposed on production.

[0053] The protective gas used in Example 1 includes a mixture of carbon dioxide and argon-rich gas, with the argon-rich gas ratio being 20%-80%; the welding speed range is 3-3.6 mpm; the GAP spacing range is -0.1-0.5 mm; the annealing current range is 100-120 A; and the wire feed speed range is 3-4 mpm.

[0054] Different combinations of welding parameters are used to create welded sections of different quality.

[0055] Step S102: Cut the welded section of the sample along a plane perpendicular to the weld direction from the thickness direction to obtain the sample cross section;

[0056] To facilitate subsequent electron microscopy and metallographic analysis of each welded section of the specimen, the section along the thickness direction is taken as the specimen section.

[0057] Step S103: Based on the obtained weld width qualification rate, weld grain diameter qualification rate, and weld grain boundary precipitation qualification rate of the sample cross section, determine the weld rolling rate corresponding to the sample cross section.

[0058] Step S103.1: Obtain the weld width qualification rate, weld grain diameter qualification rate, and weld grain boundary precipitation qualification rate of the sample cross section.

[0059] Step S103.1.1, the weld width qualification rate is obtained through the following steps:

[0060] Obtain the average thickness of the first base material and the second base material, as well as the weld width;

[0061] Calculate the first ratio of the average thickness to the weld width, and determine the weld width qualification rate corresponding to the first ratio.

[0062] For example, in this embodiment, the base material used is steel strip, the first steel strip has a thickness of 3mm, and the second steel strip has a thickness of 3.2mm.

[0063] Average thickness of welded strip = 0.5 (Thickness of coil before welding + Thickness of coil after welding) = 0.5 (3 + 3.2) = 3.1 mm;

[0064] Electron microscopy or metallographic analysis revealed that the weld width was 2.6 mm.

[0065] The first ratio a = weld width / average thickness of welded strip = 2.6 / 3.1 = 0.839;

[0066] Since the first ratio a is in the range of [0.8, 0.9), according to the preset first ratio and weld width qualification rate correspondence table, the weld width qualification rate is 80% at this time.

[0067] Step S103.1.2, the weld grain diameter qualification rate is obtained through the following steps:

[0068] Obtain the maximum value of the grain diameter in the weld zone of the weld, and the weld width at the location of the grain corresponding to the maximum value of the grain diameter in the weld zone;

[0069] Using the formula b=m / (0.5) l), to obtain the second ratio;

[0070] In the formula, b represents the second ratio;

[0071] m represents the maximum grain diameter in the weld zone;

[0072] l represents the weld width at the location of the grain corresponding to the maximum grain diameter in the weld zone;

[0073] Determine the weld grain diameter qualification rate corresponding to the second ratio.

[0074] For example,

[0075] Metallographic analysis was used to obtain the metallographic structure of the weld and the grain diameter in the weld zone was measured. The largest grain diameter was 0.4 mm, and the weld width at this grain location was 2.5 mm.

[0076] The second ratio b = maximum grain diameter / (0.5) Weld width at grain location) = 0.4 / (0.5) 2.5) = 0.32;

[0077] Since the second ratio b is in the range of (0, 0.4], according to the preset table of correspondence between the second ratio and the weld grain diameter qualification rate, the weld grain diameter qualification rate is 100% at this time.

[0078] Step S103.1.3, the qualified rate of weld grain boundary precipitation is obtained through the following steps:

[0079] Obtain the precipitation frequency of iron carbide precipitated in the sample cross section;

[0080] Determine the qualified rate of the weld grain boundary precipitation corresponding to the precipitation frequency.

[0081] For example,

[0082] Electron microscopy analysis revealed that the frequency of Fe3C precipitation at grain boundaries in the weld region was 16.

[0083] The precipitation frequency of Fe3C is represented by c;

[0084] Since the precipitation frequency c is in the range of (10, 20], according to the preset precipitation frequency and weld grain boundary precipitation qualification rate correspondence table, the weld grain boundary precipitation qualification rate is 70% at this time;

[0085] Step S103.2, based on the obtained weld width qualification rate, weld grain diameter qualification rate, and weld grain boundary precipitation qualification rate of the sample cross-section, determines the weld rolling rate corresponding to the sample cross-section, including the following steps:

[0086] The weld roll ratio is calculated using the following formula:

[0087] Weld rolling ratio = weld width coefficient Weld width qualification rate + weld grain diameter coefficient Weld grain diameter qualification rate + weld grain boundary precipitation coefficient Weld grain boundary precipitation pass rate;

[0088] Wherein, weld width coefficient + weld grain diameter coefficient + weld grain boundary precipitation coefficient = 1.

[0089] For example,

[0090] Here, the weld width coefficient, weld grain diameter coefficient, and weld grain boundary precipitation coefficient are set to 0.3, 0.4, and 0.3, respectively.

[0091] Therefore, the weld seam rolling ratio is 0.3. 80% + 0.4 100% + 0.3 70% = 85%.

[0092] Repeat the above steps to obtain the weld rolling rate of different sample welded sections.

[0093] Step S104: The welding parameters corresponding to the sample section with the weld roll ratio closest to 1 are used as target parameters in production.

[0094] The closer the weld roll ratio is to 1, the higher the weld rollability will be in subsequent rolling processes. Therefore, by using the welding parameters corresponding to the sample section with the weld roll ratio closest to 1 as target parameters in production, the roll ratio can be effectively improved, thereby increasing production efficiency and reducing production costs.

[0095] As an optional implementation, the method further includes establishing a deep learning model based on the welding parameters. The learning model continuously optimizes the welding parameter settings according to different welding parameters and the welding rolling rates generated by different welding parameters, thereby continuously improving the weld rolling rate.

[0096] The embodiments of this application obtain and analyze the sample cross-sections based on different welding parameters to determine the welding parameters corresponding to the highest weld rolling rate. The determined welding parameters are then applied to the welding of the cold rolling production line to effectively improve the weld rolling rate. This results in stable production of the cold rolling mill, increased strip rolling rate, improved production efficiency, and reduced production costs.

[0097] Example 2

[0098] Based on the same inventive concept, Embodiment 2 of this application provides an apparatus for improving weld seam rolling yield, the apparatus comprising:

[0099] The first acquisition module is used to acquire multiple sample welding segments by setting different welding parameters; wherein, the sample welding segment includes a weld and a first base material and a second base material on both sides of the weld;

[0100] The second acquisition module is used to cut the welded section of the sample along a plane perpendicular to the weld direction from the thickness direction to obtain the sample cross section.

[0101] The analysis module is used to determine the weld rolling rate corresponding to the sample cross section based on the obtained weld width qualification rate, weld grain diameter qualification rate, and weld grain boundary precipitation qualification rate of the sample cross section.

[0102] The confirmation module is used to apply the welding parameters corresponding to the sample section with the weld roll ratio closest to 1 as target parameters in production.

[0103] The apparatus provided in Example 2 can determine the welding parameters corresponding to the highest weld seam rolling rate, thereby achieving stable production of the cold rolling mill and improving the strip rolling rate during the actual rolling process.

[0104] Example 3

[0105] Based on the same inventive concept, Embodiment 3 of this application provides an electronic device, as shown in the appendix. Figure 4 As shown, it includes a memory 304, a processor 302, and a computer program stored in the memory 304 and executable on the processor 302. When the processor 302 executes the program, it implements the steps of the above-described method for improving weld roll ratio.

[0106] Among them, Figure 4 In this document, a bus architecture (represented by bus 300) is used. Bus 300 may include any number of interconnected buses and bridges, linking various circuits including one or more processors represented by processor 302 and memory represented by memory 304. Bus 300 may also link various other circuits such as peripheral devices, voltage regulators, and power management circuits, which are well known in the art and therefore will not be described further herein. Bus interface 306 provides an interface between bus 300 and receiver 301 and transmitter 303. Receiver 301 and transmitter 303 may be the same element, i.e., a transceiver, providing a unit for communicating with various other devices over a transmission medium. Processor 302 is responsible for managing bus 300 and general processing, while memory 304 can be used to store data used by processor 302 during operation.

[0107] Example 4

[0108] Based on the same inventive concept, Embodiment 4 of the present invention provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the steps of the above-described method for improving weld roll ratio.

[0109] The algorithms and displays provided herein are not inherently related to any particular computer, virtual system, or other device. Various general-purpose systems can also be used in conjunction with the teachings herein. The required structure for constructing such systems is apparent from the above description. Furthermore, this invention is not directed to any particular programming language. It should be understood that the contents of the invention described herein can be implemented using various programming languages, and the above description of specific languages ​​is for the purpose of disclosing the best mode of implementation of the invention.

[0110] Numerous specific details are set forth in the specification provided herein. However, it will be understood that embodiments of the invention may be practiced without these specific details. In some instances, well-known methods, structures, and techniques have not been shown in detail so as not to obscure the understanding of this specification.

[0111] Similarly, it should be understood that, in order to simplify this disclosure and aid in understanding one or more of the various aspects of the invention, in the above description of exemplary embodiments of the invention, various features of the invention are sometimes grouped together in a single embodiment, figure, or description thereof. However, this method of disclosure should not be construed as reflecting an intention that the claimed invention requires more features than are expressly recited in each claim. Rather, as reflected in the following claims, inventive aspects lie in fewer than all features of a single foregoing disclosed embodiment. Therefore, the claims following the detailed description are hereby expressly incorporated into this detailed description, wherein each claim itself is a separate embodiment of the invention.

[0112] Those skilled in the art will understand that modules in the device of the embodiments can be adaptively changed and placed in one or more devices different from that embodiment. Modules, units, or components in the embodiments can be combined into a single module, unit, or component, and further, they can be divided into multiple sub-modules, sub-units, or sub-components. Except where at least some of such features and / or processes or units are mutually exclusive, any combination can be used to combine all features disclosed in this specification (including the accompanying claims, abstract, and drawings) and all processes or units of any method or device so disclosed. Unless expressly stated otherwise, each feature disclosed in this specification (including the accompanying claims, abstract, and drawings) may be replaced by an alternative feature that serves the same, equivalent, or similar purpose.

[0113] Furthermore, those skilled in the art will understand that although some embodiments herein include certain features included in other embodiments but not others, combinations of features from different embodiments are intended to be within the scope of the invention and form different embodiments. For example, in the following claims, any of the claimed embodiments can be used in any combination.

[0114] The various component embodiments of the present invention can be implemented in hardware, or as software modules running on one or more processors, or a combination thereof. Those skilled in the art will understand that microprocessors or digital signal processors (DSPs) can be used in practice to implement some or all of the functions of some or all of the components in the electronic device according to embodiments of the present invention. The present invention can also be implemented as a device or apparatus program (e.g., a computer program and computer program product) for performing part or all of the methods described herein. Such programs implementing the present invention can be stored on a computer-readable medium, or can be in the form of one or more signals. Such signals can be downloaded from an Internet website, provided on a carrier signal, or provided in any other form.

[0115] The above descriptions are merely embodiments of this application. Commonly known structures and characteristics of the solutions are not described in detail here. Those skilled in the art are aware of all common technical knowledge in the field prior to the application date or priority date, are aware of all existing technologies in that field, and have the ability to apply conventional experimental methods prior to that date. Those skilled in the art can, based on the guidance provided in this application, improve and implement this solution in combination with their own capabilities. Some typical known structures or methods should not be obstacles for those skilled in the art to implement this application. It should be noted that those skilled in the art can make several modifications and improvements without departing from the structure of this application. These should also be considered within the scope of protection of this application, and will not affect the effectiveness of the implementation of this application or the practicality of the patent. The scope of protection claimed in this application should be determined by the content of its claims, and the specific embodiments described in the specification can be used to interpret the content of the claims.

Claims

1. A method for improving weld roll yield, characterized in that, The method includes, Multiple sample welding segments were obtained by setting different welding parameters; wherein, the sample welding segment includes a weld and a first base material and a second base material on both sides of the weld; The sample weld section is cut along a plane perpendicular to the weld direction from the thickness direction to obtain a sample cross section; Based on the obtained weld width qualification rate, weld grain diameter qualification rate, and weld grain boundary precipitation qualification rate of the sample cross-section, the weld rolling ratio corresponding to the sample cross-section is determined, including the following steps: The weld rolling ratio is calculated using the following formula: Weld rolling ratio = Weld width coefficient Weld width qualification rate + weld grain diameter coefficient Weld grain diameter qualification rate + weld grain boundary precipitation coefficient The qualified rate of grain boundary precipitation in weld; where, weld width coefficient + weld grain diameter coefficient + weld grain boundary precipitation coefficient = 1; The weld grain diameter qualification rate is obtained through the following steps: obtaining the maximum grain diameter of the weld zone and the weld width at the location of the grain corresponding to the maximum grain diameter; using the formula b=m / (0.5 l), to obtain the second ratio; where b represents the second ratio; m represents the maximum grain diameter of the weld zone; l represents the weld width at the location of the grain corresponding to the maximum grain diameter of the weld zone; determine the qualified rate of the weld grain diameter corresponding to the second ratio; The qualified rate of weld grain boundary precipitation is obtained through the following steps: obtaining the precipitation frequency of iron carbide precipitated in the sample cross section; and determining the qualified rate of weld grain boundary precipitation corresponding to the precipitation frequency. The welding parameters corresponding to the sample section with the weld roll ratio closest to 1 are used as target parameters in production, wherein the target parameters are applied to the welding of the cold rolling production line.

2. The method for improving weld roll yield as described in claim 1, characterized in that, The welding parameters include, but are not limited to, one or more of the following: the type and ratio of the shielding gas used for welding, welding speed, spacing value, annealing current value, and wire feed speed.

3. The method for improving weld roll yield as described in claim 1, characterized in that, The weld width pass rate is obtained through the following steps: Obtain the average thickness of the first base material and the second base material, as well as the weld width; Calculate the first ratio of the average thickness to the weld width, and determine the weld width qualification rate corresponding to the first ratio.

4. The method for improving weld roll yield as described in claim 1, characterized in that, The method further includes establishing a deep learning model based on the welding parameters to improve the weld roll yield.

5. An apparatus for improving weld roll yield, said apparatus for carrying out the method as described in claim 1, characterized in that, The device includes: The first acquisition module is used to acquire multiple sample welding segments by setting different welding parameters; wherein, the sample welding segment includes a weld and a first base material and a second base material on both sides of the weld; The second acquisition module is used to cut the welded section of the sample along a plane perpendicular to the weld direction from the thickness direction to obtain the sample cross section; The analysis module is used to determine the weld rolling rate corresponding to the sample cross-section based on the obtained weld width qualification rate, weld grain diameter qualification rate, and weld grain boundary precipitation qualification rate. This includes the following steps: calculating the weld rolling rate using the following formula: Weld rolling rate = Weld width coefficient Weld width qualification rate + weld grain diameter coefficient Weld grain diameter qualification rate + weld grain boundary precipitation coefficient The qualified rate of grain boundary precipitation in weld; where, weld width coefficient + weld grain diameter coefficient + weld grain boundary precipitation coefficient = 1; The confirmation module is used to apply the welding parameters corresponding to the sample section with the weld roll ratio closest to 1 as target parameters to production, wherein the target parameters are applied to the welding of the cold rolling production line.

6. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that, When the processor executes the program, it implements the steps of the method as described in any one of claims 1-4.

7. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the program is executed by the processor, it implements the steps of the method as described in any one of claims 1-4.

Citation Information

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