A method and system for adjusting and identifying galvannealing defects of a ga hot-dip galvanized product

By using the GA hot-dip galvanized product alloying defect identification system and adjustment method, the incomplete alloying defect of the coating is automatically monitored and adjusted, solving the problem of uneven coating and improving the application stability and quality of the product.

CN117660859BActive Publication Date: 2026-05-12BAOSTEEL NIPPON STEEL AUTO SHEET CO LTD
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
BAOSTEEL NIPPON STEEL AUTO SHEET CO LTD
Filing Date
2022-08-24
Publication Date
2026-05-12

AI Technical Summary

Technical Problem

In the existing technology, there is a lack of identification devices for the uneven and incomplete alloying of the coating in GA hot-dip galvanized products, which makes it impossible to make effective adjustments and affects product performance and application stability.

Method used

采用GA热镀锌产品合金化缺陷调整方法及识别系统,通过传感器和图像采集设备监控镀层图像,自动判断合金化不完全缺陷,并根据缺陷位置调整JCF出口横向诱导加热温度或IH合金化退火温度,消除镀层不均匀问题。

Benefits of technology

It achieves precise control over the phase structure of the coating of GA hot-dip galvanized products, stably obtains a coating structure dominated by the δ phase, improves the application stability of the product, and reduces quality loss.

✦ Generated by Eureka AI based on patent content.

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Abstract

The application discloses a GA hot galvanizing product alloying defect adjusting method, which comprises the following steps: obtaining the process parameters of a current roll of GA hot galvanizing product and an alloying incomplete defect detection signal; judging the distribution of the alloying incomplete defect in the transverse position of the strip steel and making targeted compensation correction; delaying for a proper distance, and then judging whether the alloying incomplete defect exists in the strip steel again and making compensation correction. The application also discloses a GA hot galvanizing product alloying defect identification system. The GA hot galvanizing product alloying defect identification system can detect the alloying quality defect of the product in time, and the temperature compensation correction can be selectively made according to the GA hot galvanizing product alloying defect adjusting method, so that the problem of incomplete alloying of the plated layer is eliminated, and the stability of the performance of the GA hot galvanizing product is improved.
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Description

Technical Field

[0001] This invention relates to the field of GA hot-dip galvanizing defect identification technology, and more specifically, to a method and identification system for adjusting alloying defects in GA hot-dip galvanized products. Background Technology

[0002] GA hot-dip galvanizing products are widely used in the automotive and home appliance industries due to their excellent corrosion resistance, good weldability, and coating performance. GA hot-dip galvanizing involves immersing annealed steel strip into a zinc bath with a low aluminum content and controlling the coating weight using an air knife. Before the coating solidifies, it undergoes online alloying annealing to obtain coated steel sheets with different Zn-Fe alloy phase structures. The coating contains intermetallic compounds with different phase structures, mainly including Γ, Γ1, δ, and ζ phases from the steel substrate to the coating surface. The specific production process of GA hot-dip galvanizing is as follows: Figure 1 As shown, the process includes a preheating section 1, a heating section 2, a soaking section 3, a slow cooling section 4, a rapid cooling section 5, a JCF transverse induced heating section 6, and an IH alloying heating section 7. Many process factors influence the phase structure of the coating in GA hot-dip galvanized products, with the strip temperature entering the zinc pot or the alloying annealing temperature being the most significant. When these temperatures are not properly controlled, the number of Γ and ζ phases in the coating, which are detrimental to coating damage or powdering, increases. In severe cases, white edges or under-alloying may occur, leading to uneven and incomplete alloying, directly affecting product performance and restricting the application of GA hot-dip galvanized products. Current technologies lack corresponding identification devices for uneven and incomplete alloying in GA hot-dip galvanized coatings and cannot effectively adjust these defects, failing to guarantee the application stability of GA hot-dip galvanized products. Therefore, there is an urgent need to design a method and identification system for adjusting alloying defects in GA hot-dip galvanized products. Summary of the Invention

[0003] The purpose of this invention is to provide a method and identification system for adjusting alloying defects in GA hot-dip galvanized products. This addresses the technical problem in the prior art where there is a lack of corresponding identification devices for uneven and incomplete alloying of GA hot-dip galvanized coatings, making effective adjustments impossible and failing to guarantee the application stability of GA hot-dip galvanized products. During the production process of GA hot-dip galvanized products, the method and identification system automatically monitor and judge incomplete alloying problems, and automatically adjust the process parameters affecting the coating phase structure based on the monitoring and judgment results, thereby stabilizing the coating phase structure dominated by the δ phase and improving the application stability of GA hot-dip galvanized products.

[0004] To achieve the above objectives, the present invention adopts the following technical solution:

[0005] As one aspect of the present invention, a method for adjusting alloying defects in GA hot-dip galvanized products is provided, comprising the following steps:

[0006] S1. Obtain the process parameters of the current coil of GA hot-dip galvanized product and the detection signal of incomplete alloying defects;

[0007] S2. Determine the distribution of incomplete alloying defects in the transverse position of the strip and compensate and correct them accordingly;

[0008] S3. Delay by an appropriate distance, then reassess whether the strip steel has incomplete alloying defects and compensate for and correct them.

[0009] As one aspect of the present invention, a method for adjusting alloying defects in GA hot-dip galvanized products, wherein the process parameters of the current coil of the GA hot-dip galvanized product in S1 include steel grade, plate thickness TH, plate width WD, process section speed LS, JCF outlet transverse induction heating temperature and IH alloying annealing heating temperature.

[0010] As a method for adjusting alloying defects in GA hot-dip galvanized products according to the above aspect of the present invention, S2 includes the following specific steps:

[0011] S21. When incomplete alloying defects occur at the edge of the strip, the transverse induced heating temperature at the JCF outlet is compensated.

[0012] S22. When incomplete alloying defects occur in other locations of the strip, the heating temperature of IH alloying annealing is compensated.

[0013] S23. Once S21 or S22 is determined in the process, the transverse induced heating temperature of JCF outlet or the alloying annealing heating temperature of IH is obtained.

[0014] As a method for adjusting alloying defects in GA hot-dip galvanized products according to the above aspect of the present invention, S21 includes the following steps:

[0015] S211. Determine the JCF outlet transverse induced heating temperature compensation value △TJCF based on the steel grade, plate thickness TH and plate width WD parameters;

[0016] S222. The transverse induced heating temperature at the JCF outlet is calculated to be T. JCF +△T JCF .

[0017] As a method for adjusting alloying defects in GA hot-dip galvanized products according to the above aspect of the present invention, S22 includes the following steps:

[0018] S221. Determine the IH alloying annealing heating temperature compensation value △TIH based on the steel grade, plate thickness TH, and plate width WD parameters;

[0019] S222. Calculate the heating temperature (T) for IH alloying annealing. IH +△T IH ).

[0020] As a method for adjusting alloying defects in GA hot-dip galvanized products according to the above aspect of the present invention, S3 includes the following steps:

[0021] S31. After delaying the strip by 40m, determine whether the strip has incomplete alloying defects;

[0022] S32. Automatic adjustment is performed based on the incomplete alloying defects of the strip steel.

[0023] As a method for adjusting alloying defects in GA hot-dip galvanized products according to the above aspect of the present invention, S32 includes the following steps:

[0024] S321. If incomplete alloying defects are found, process parameters are obtained and compensation is corrected.

[0025] S322. When the defect of incomplete alloying is found to have been eliminated, the automatic adjustment process ends.

[0026] As another aspect of the present invention, a system for identifying alloying defects in GA hot-dip galvanized products is provided, comprising:

[0027] Sensors are used to detect whether steel strips pass through the image detection area and to effectively control the start and stop of the image acquisition equipment; and / or

[0028] Image acquisition equipment, communicating with image processing and control equipment, is used to effectively acquire images of steel strip coatings; and / or

[0029] The image processing control device is communicatively connected to the image acquisition device and the sensor, and achieves optimal detection of incomplete alloying defects in strip steel through a unique visual recognition algorithm.

[0030] As one aspect of the present invention, a GA hot-dip galvanized product alloying defect identification system is provided, wherein the image acquisition device adopts a dedicated visual inspection system, and the image processing control device includes a host and an image processing control box.

[0031] By adopting the above technical solution, the present invention has the following advantages:

[0032] This invention provides a method and system for adjusting and identifying alloying defects in GA hot-dip galvanized products. The system monitors and detects the appearance of the coating after IH alloying annealing to determine if incomplete alloying exists. The method adjusts the alloying defects based on a comprehensive assessment of the incomplete alloying location in the strip's transverse direction. This allows for selective adjustment of the JCF outlet transverse induced heating temperature or the IH alloying annealing temperature, eliminating incomplete alloying, reducing product quality losses, precisely controlling relevant process parameters affecting the coating phase structure, and stably obtaining a coating phase structure dominated by the δ phase, thereby improving the application stability of GA hot-dip galvanized products. Attached Figure Description

[0033] Other features, objects, and advantages of the invention will become more apparent from the following detailed description of non-limiting embodiments with reference to the accompanying drawings.

[0034] Figure 1 This is a schematic diagram of the production process of GA hot-dip galvanized products;

[0035] Figure 2 This is a schematic diagram of the alloying defect identification system for GA hot-dip galvanized products of the present invention;

[0036] Figure 3 This is a functional block diagram of the automatic adjustment of alloying defects in GA hot-dip galvanized products according to the present invention;

[0037] Figure 4 This is a flowchart of the method for adjusting alloying defects in GA hot-dip galvanized products according to the present invention.

[0038] Figure reference numerals: 1. Preheating section; 2. Heating section; 3. Soaking section; 4. Slow cooling section; 5. Rapid cooling section; 6. JCF transverse induced heating section; 7. IH alloying heating section; 8. Sensor; 9. Image acquisition equipment; 10. Image processing and control equipment; 11. Strip steel. Detailed Implementation

[0039] The technical solution of the present invention will be specifically described below with reference to the accompanying drawings. The detailed features and advantages of the present invention are described in detail in the specific embodiments. The content is sufficient to enable any person skilled in the art to understand the technical content of the present invention and implement it accordingly. Based on the specification, claims and drawings disclosed in this specification, those skilled in the art can easily understand the related objects and advantages of the present invention.

[0040] Figure 2 A schematic diagram of the alloying defect identification system for GA hot-dip galvanized products of the present invention is shown; Figure 3 The diagram shows the automatic adjustment function block diagram for alloying defects in GA hot-dip galvanized products according to the present invention.

[0041] A specific example of a GA hot-dip galvanized product alloying defect identification system is as follows: Figure 2 As shown, the GA hot-dip galvanized product alloying defect identification system comprises three main parts: a sensor 8, an image acquisition device 9, and an image processing control device 10. The sensor 8 can detect the presence or absence of strip steel 11 within the effective image detection area and effectively control the start and stop of the image acquisition device 9. The image acquisition device 8 is communicatively connected to the image processing control device 10 to effectively acquire images of the strip steel coating and simultaneously feed back the strip steel speed signal to the image processing control device 10. The image processing control device 10 establishes communication connections with both the image acquisition device 9 and the sensor 8, and through a unique visual recognition algorithm, feeds back the detection results of the acquired strip steel coating images to the image acquisition device 9, achieving optimized detection of incomplete alloying defects in the strip steel. Furthermore, the image acquisition device 9 employs a dedicated visual inspection system, and the image processing control device 10 includes a main unit and an image processing control box. The main unit acts as the processing center, while the image processing control box handles and controls the incomplete alloying defects in the strip steel.

[0042] In addition, the specific function block diagram for the automatic adjustment of alloying defects in GA hot-dip galvanized products is as follows: Figure 3 As shown, based on the detection results of the incomplete alloying automatic identification system, the distribution of incomplete alloying defects in the transverse position of the strip is determined, and the corresponding process parameters are compensated and corrected accordingly. When the incomplete alloying defect only occurs at the edge of the strip, the JCF exit induced heating roller compensates for the heating temperature of the strip edge, thereby eliminating the incomplete alloying defect at the edge of the strip by increasing the strip edge temperature. When incomplete alloying occurs in non-edge areas, the IH alloying annealing temperature is automatically increased to compensate, thereby eliminating the incomplete alloying defect by increasing the overall alloying temperature of the strip.

[0043] Figure 4 A flowchart of the method for adjusting alloying defects in GA hot-dip galvanized products according to the present invention is shown.

[0044] This invention also provides a method for adjusting alloying defects in GA hot-dip galvanized products, including the following steps: Figure 4 As shown:

[0045] S1. Obtain the process parameters of the current coil, including steel grade, plate thickness TH, plate width WD, process section speed LS, JCF outlet transverse induction heating temperature and IH alloying annealing heating temperature, and obtain the alloying incomplete detection signal. When incomplete alloying is detected in the strip, proceed to step S2.

[0046] S2. Determine the distribution of incomplete alloying defects in the transverse position of the strip and make targeted compensation and correction to the corresponding process parameters;

[0047] S2 includes the following specific steps:

[0048] S21. When incomplete alloying defects occur at the edge of the strip, the transverse induced heating temperature at the JCF outlet is compensated.

[0049] S21 includes the following specific steps:

[0050] S211. Determine the JCF outlet transverse induced heating temperature compensation value △TJCF based on the steel grade, plate thickness TH and plate width WD parameters;

[0051] S222. The transverse induced heating temperature at the JCF outlet is calculated to be T. JCF +△T JCF .

[0052] S22. When incomplete alloying defects occur in other locations of the strip, the heating temperature of IH alloying annealing is compensated.

[0053] S22 includes the following specific steps:

[0054] S221. Determine the IH alloying annealing heating temperature compensation value △T based on the steel grade, plate thickness TH, and plate width WD parameters. IH ;

[0055] S222. Calculate the heating temperature (T) for IH alloying annealing. IH +△T IH ).

[0056] S23. Once S21 or S22 is determined in the process, the transverse induced heating temperature of JCF outlet or the alloying annealing heating temperature of IH is obtained.

[0057] S3. Delay by an appropriate distance, then reassess whether the strip steel has incomplete alloying defects and compensate for and correct them.

[0058] S3 includes the following steps:

[0059] S31. After delaying the strip by 40m, determine whether the strip has incomplete alloying defects;

[0060] S32. Automatic adjustment is performed based on the incomplete alloying defects of the strip steel.

[0061] S32 includes the following steps:

[0062] S321. When incomplete alloying defects are found, execute the automatic judgment and compensation process for incomplete alloying process parameters;

[0063] S322. When it is found that the defect of incomplete alloying has been eliminated, the automatic adjustment process for incomplete alloying ends.

[0064] Example 1

[0065] Product 1: Steel grade DQ-IF, thickness 0.65mm, width 1120mm, speed 115m / min, constant speed operation.

[0066] (1) Based on the steel grade, plate thickness TH and plate width WD parameters, obtain the JCF exit plate temperature T of the current coil. JCF The annealing temperature T for IH alloying is 466℃. IH At 495℃, the GA hot-dip galvanized product alloying defect identification system detected incomplete alloying defects in the strip steel.

[0067] (2) Based on the detection information from the automatic identification system for incomplete alloying, it was identified that incomplete alloying occurred in the edge area of ​​the strip. The automatic adjustment judgment logic for incomplete alloying determined to compensate for the transverse induced heating temperature at the JCF outlet. Referring to the steel grade and specifications, the final temperature compensation ΔT for area B of the transverse induced heating device at the JCF outlet was determined. JCF If the temperature is 3℃, then the plate temperature in zone B of JCF outlet will increase to T. JCF +△T JCF That is, 469℃ (i.e., the temperature of the strip edge rises to 469℃).

[0068] (3) After the strip runs for 40 meters, the detection results of the automatic identification system for incomplete alloying are checked again. It is found that there is still a quality defect of incomplete alloying at the edge of the strip. Therefore, the automatic adjustment process for incomplete alloying is restarted, and the temperature of zone B of the transverse induced heating device at the JCF outlet is compensated by 3℃ again. The plate temperature of zone B at the JCF outlet is increased to 472℃ (that is, the temperature of the strip edge is increased to 472℃).

[0069] (4) After the strip runs for 40 meters, the results of the GA hot-dip galvanized product alloying defect identification system are checked again. If the quality defect of incomplete alloying at the edge of the strip is found to have been eliminated, the automatic adjustment process for incomplete alloying ends.

[0070] Example 2

[0071] Product 2: Steel grade DQ-IF, thickness 0.65mm, width 1535mm, speed 113m / min, constant speed operation.

[0072] (1) Based on the steel grade, plate thickness TH and plate width WD parameters, obtain the JCF exit plate temperature T of the current coil. JCF The heating temperature T for IH alloying annealing is 465℃. IH At 488℃, the GA hot-dip galvanized product alloying defect identification system detected incomplete alloying defects in the strip steel.

[0073] (2) Based on the detection information from the GA hot-dip galvanized product alloying defect identification system, incomplete alloying was identified as occurring in the non-edge area of ​​the strip. The automatic adjustment logic for incomplete alloying was used to determine compensation for the IH alloying annealing heating temperature. Referring to the steel grade and specifications, the final compensation ΔT for the IH alloying annealing heating temperature was determined. IH If the temperature is 5℃, then the heating temperature for IH alloying annealing is increased to T. IH +△T IH That is, 493℃.

[0074] (3) After the strip runs for 40 meters, the detection results of the GA hot-dip galvanized product alloying defect identification system are checked again. If the quality defect of incomplete alloying is found to have been eliminated, the automatic adjustment process of incomplete alloying ends.

[0075] Finally, it should be noted that although the present invention has been described with reference to specific embodiments, those skilled in the art should recognize that the above embodiments are only used to illustrate the present invention and are not intended to limit the present invention. Various equivalent changes or substitutions can be made without departing from the concept of the present invention. Therefore, any changes or modifications to the above embodiments within the essential spirit of the present invention will fall within the scope of the claims of the present invention.

Claims

1. A method for adjusting alloying defects in GA hot-dip galvanized products, characterized in that, Includes the following steps: S1. Obtain the process parameters of the current coil of GA hot-dip galvanized product and the detection signal of incomplete alloying defects; S2. Determine the distribution of incomplete alloying defects in the transverse position of the strip and make targeted compensation and corrections, including the following specific steps: S21. When incomplete alloying defects occur at the edge of the strip, the transverse induced heating temperature at the JCF outlet is compensated. S22. When incomplete alloying defects occur in other locations of the strip, the heating temperature of IH alloying annealing shall be compensated. S23. Once S21 or S22 is determined in the process, the transverse induced heating temperature of JCF outlet or the alloying annealing heating temperature of IH is obtained. S3. After a suitable delay, reassess the strip for any incomplete alloying defects and compensate accordingly, including the following steps: S31. After delaying the strip by 40m, determine whether the strip has incomplete alloying defects; S32. Based on the incomplete alloying defects of the strip steel, automatic adjustments are made according to different situations, including the following steps: S321. If incomplete alloying defects are found, process parameters are obtained and compensation is corrected. S322. Once the defect of incomplete alloying is eliminated, the automatic adjustment process ends. A stable coating phase structure dominated by the δ phase is obtained, improving the application stability of GA hot-dip galvanized products.

2. The method for adjusting alloying defects in GA hot-dip galvanized products as described in claim 1, characterized in that, The process parameters for the current coil of the GA hot-dip galvanized product in S1 include steel grade, plate thickness TH, plate width WD, process section speed LS, JCF outlet transverse induction heating temperature, and IH alloying annealing heating temperature.

3. The method for adjusting alloying defects in GA hot-dip galvanized products as described in claim 1, characterized in that, S21 includes the following steps: S211. Determine the JCF outlet transverse induced heating temperature compensation value △TJCF based on the steel grade, plate thickness TH and plate width WD parameters; S222. The transverse induced heating temperature at the JCF outlet is calculated to be T. JCF +△T JCF .

4. The method for adjusting alloying defects in GA hot-dip galvanized products as described in claim 1, characterized in that, S22 includes the following steps: S221. Determine the heating temperature compensation value △TIH for IH alloying annealing based on the steel grade, plate thickness TH, and plate width WD parameters; S222. Calculate the heating temperature (T) for IH alloying annealing. IH +△T IH ).

5. A system for identifying alloying defects in GA hot-dip galvanized products, characterized in that, include: Sensors are used to detect whether steel strips pass through the image detection area and to effectively control the start and stop of image acquisition equipment; An image acquisition device, which communicates with an image processing and control device, is used to effectively acquire images of the steel strip coating. The image processing and control device is communicatively connected to the image acquisition device and the sensor, respectively. Through a unique visual recognition algorithm, it optimizes the detection of incomplete alloying defects in strip steel. The GA hot-dip galvanized product alloying defect identification system implements the GA hot-dip galvanized product alloying defect adjustment method as described in any one of claims 1-4.

6. The alloying defect identification system for GA hot-dip galvanized products as described in claim 5, characterized in that, The image acquisition device uses a dedicated visual inspection system, and the image processing control device includes a host and an image processing control box.