Steckel mill dynamic coiling tension control method
Through the dynamic coiling tension control method, real-time tension adjustment and combined with the closed-loop control of the hydraulic servo system, the problems of steel plate deviation and jamming under fixed tension control are solved, and the adaptability to steel plates of different specifications and the improvement of rolling stability are achieved.
Patent Information
- Application Number
- CN202510864029.2
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-06-26
- Publication Date
- 2025-09-16
Abstract
Description
Technical Field
[0001] The present invention relates to the technical field of metal rolling and coiling, and in particular to a method for controlling the dynamic coiling tension of a Steckel mill. Background Art
[0002] Existing medium and thick plate Steckel mills generally adopt a fixed coiling tension control method, which adopts a two-speed control mode of large and small fixed coiling tension. When rolling thick-gauge coiled plates, conventional tension (20KN) is selected, and when rolling thin-gauge coiled plates, high tension (25KN) is selected. After the gear is selected, the tension remains unchanged during the coiling rolling process. During use, some steel grades have a certain reduction in width due to excessive tension during the rolling process. The shearing width of the subsequent process is not enough to exceed the shearing capacity, and manual marking and cutting into sub-plates for fire cutting are required for rescue. The rolled plate has a long rolling length and a large production volume. The rescue is time-consuming and labor-intensive, which greatly affects order delivery and production costs. At the same time, fixed tension coiling rolling has very high requirements on the installation accuracy of the rolling mill, pinch rollers, guide rollers and coiling furnace hub. Usually, due to factors such as inconsistent horizontality of the installation of the above equipment, the steel plate has different degrees of deviation during the coiling process. However, the high tension makes the steel plate very tight, and this phenomenon is not obvious in the steel plate itself. The head and tail lose tension instantly and deviate seriously after leaving the coiling furnace. The operator has no time to judge the direction of the tail. Inaccurate judgment may easily lead to the head or tail being too bent and the hanging frame stopping quickly after biting the steel in the next pass. This phenomenon is more obvious with the greater the coiling tension.
[0003] The existing technology mainly has the following problems: 1. Existing technical problems: Traditional Steckel mills use fixed coiling tension and cannot adapt to variable specification rolling (such as thickness / width gradient), which can easily lead to: 1. Thin strip steel may be stretched and broken due to excessive tension, and the depth of the defect on the contact surface with the hub increases; 2. When the width changes, the stress distribution on the edge is uneven, which affects the shape of the finished plate and the rolling stability; 3. The thick strip steel has a loose coil shape due to insufficient tension, and the head and tail of the steel are shaken during the rolling process, resulting in steel jams and corners. Summary of the Invention
[0004] The technical problem to be solved by the present invention is to overcome the shortcomings of the prior art and provide a method for controlling the dynamic coiling tension of a Steckel rolling mill.
[0005] In order to solve the above technical problems, the technical solutions of the present invention are as follows: A method for controlling the dynamic coiling tension of a Steckel mill comprises the following steps: S1: Real-time collection of strip parameters and rolling parameters; S2: Construct a dynamic tension calculation model based on the collected data in step S1. The tension calculation model is: T=K·(h·B)·(1+α·Δh)·(1 + β·ΔB) Where K is the base tension coefficient, Δh is the difference between the current thickness and the reference thickness, ΔB is the difference between the current width and the reference width, and α and β are the weight factors for thickness and width, respectively. S3: Dynamically adjust the tension according to the rolling stage: Steel biting stage: apply 80% of the calculated tension value; Stable rolling stage: 100% of the calculated tension value is applied; Tail-flicking phase: linearly reduce the tension to 50% of the calculated tension value; S4: The tension fluctuation is controlled by the hydraulic servo system in a closed loop to ensure that the tension fluctuation error is ≤±1.5%.
[0006] The present invention further defines the technical solution: Preferably, the strip parameters in S1 include entry thickness (h), exit thickness (h'), and current width (B), and the rolling parameters include rolling speed (v) and reel radius (R).
[0007] Preferably, the rolling speed (v) and the roll radius (R) in S1 are collected in real time by sensors and transmitted to the control module for dynamic correction of the base tension coefficient K in the tension calculation model.
[0008] Preferably, the tension adjustment time in the steel biting stage in S3 is the time period from the head of the rolled piece entering the coiling furnace to complete biting, and the tension adjustment time in the tail swinging stage is the time period from the tail of the rolled piece leaving the rolling mill to complete entering the coiling furnace.
[0009] Preferably, in the dynamic tension calculation model in S2, the reference thickness and reference width are determined according to historical rolling data or preset process parameters.
[0010] Preferably, the S4 hydraulic servo system realizes closed-loop control of the tension by adjusting the rotation speed of the curling furnace hub, the pressure of the pinch roller and the position of the guide roller.
[0011] The beneficial effects of the present invention are: This method incorporates the product of thickness (h) and width (B) into tension calculation, better aligning with the material deformation characteristics during the rolling process. Dynamically adjusting the weights of thickness and width through α and β, combined with a self-learning mechanism to optimize parameters, enhances the model's adaptability to steel plates of varying specifications. Through precise staged control, this solves the problem of large variations in tension requirements at different stages of the traditional fixed tension process, significantly reducing the probability of tail swing and equipment loss. The present invention adjusts the tension in real time based on factors such as the thickness, width, and rolling speed of the current rolling pass, thereby effectively controlling the phenomenon of steel plate arching, head and tail swinging, and steel plate breakage at the mill outlet / inlet caused by the mismatch between the coiling furnace tension and the front and rear slides, thereby reducing the probability of coiling furnace threading failure and mill jamming. DETAILED DESCRIPTION
[0012] In order to make the content of the present invention more clearly understood, the present invention is further described in detail below based on specific implementation methods. Example
[0013] This embodiment provides a method for controlling the dynamic coiling tension of a Steckel mill, which specifically includes the following steps: S1: Real-time collection of strip parameters and rolling parameters, including strip parameters such as entry thickness (h), exit thickness (h'), and current width (B); rolling parameters including rolling speed (v) and reel radius (R); S2: Construct a dynamic tension calculation model based on the collected data in step S1. The tension calculation model is: T=K·(h·B)·(1+α·Δh)·(1 + β·ΔB) Where K is the base tension coefficient, Δh is the difference between the current thickness and the reference thickness, ΔB is the difference between the current width and the reference width, and α and β are the weight factors for thickness and width, respectively. S3: Dynamically adjust the tension according to the rolling stage: Steel biting stage: apply 80% of the calculated tension value; Stable rolling stage: 100% of the calculated tension value is applied; Tail-flicking phase: linearly reduce the tension to 50% of the calculated tension value; S4: The tension fluctuation is controlled by the hydraulic servo system in a closed loop to ensure that the tension fluctuation error is ≤±1.5%.
[0014] The rolling speed (v) and the roll radius (R) in the above S1 are collected in real time by sensors and transmitted to the control module for dynamic correction of the base tension coefficient K in the tension calculation model; In the dynamic tension calculation model in S2 above, the reference thickness and reference width are determined based on historical rolling data or preset process parameters. The tension adjustment time in the steel biting stage in S3 is the time period from the head of the rolled piece entering the coiling furnace to the time of complete biting, and the tension adjustment time in the tail swinging stage is the time period from the tail of the rolled piece leaving the rolling mill to the time of complete entry into the coiling furnace; The S4 hydraulic servo system achieves closed-loop control of tension by adjusting the speed of the coiling furnace hub, the pressure of the pinch rollers and the position of the guide rollers.
[0015] In addition to the above embodiments, the present invention may also have other implementation methods; any technical solutions formed by equivalent replacement or equivalent transformation fall within the protection scope required by the present invention.
Claims
1. A method for controlling the dynamic coiling tension of a Steckel mill, characterized by: The specific steps include: S1: Real-time collection of strip parameters and rolling parameters; S2: Construct a dynamic tension calculation model based on the collected data in step S1. The tension calculation model is: T=K·(h·B)·(1+α·Δh)·(1 + β·ΔB) Where K is the base tension coefficient, Δh is the difference between the current thickness and the reference thickness, ΔB is the difference between the current width and the reference width, and α and β are the weight factors for thickness and width, respectively. S3: Dynamically adjust the tension according to the rolling stage: Steel biting stage: apply 80% of the calculated tension value; Stable rolling stage: 100% of the calculated tension value is applied; Tail-flicking phase: linearly reduce the tension to 50% of the calculated tension value; S4: The tension fluctuation is controlled by the hydraulic servo system in a closed loop to ensure that the tension fluctuation error is ≤±1.5%.
2. The method for controlling the dynamic coiling tension of a Steckel mill according to claim 1, wherein: The strip parameters in S1 include entry thickness (h), exit thickness (h'), and current width (B), and the rolling parameters include rolling speed (v) and coil radius (R).
3. The method for controlling the dynamic coiling tension of a Steckel mill according to claim 1, wherein: The rolling speed (v) and the roll radius (R) in S1 are collected in real time by sensors and transmitted to the control module for dynamic correction of the base tension coefficient K in the tension calculation model.
4. The method for controlling the dynamic coiling tension of a Steckel mill according to claim 1, wherein: The tension adjustment time in the steel biting stage in S3 is the time period from the head of the rolled piece entering the coiling furnace to the time of complete biting, and the tension adjustment time in the tail swinging stage is the time period from the tail of the rolled piece leaving the rolling mill to the time of complete entry into the coiling furnace.
5. The method for controlling the dynamic coiling tension of a Steckel mill according to claim 1, wherein: In the dynamic tension calculation model in S2, the reference thickness and reference width are determined according to historical rolling data or preset process parameters.
6. The method for controlling the dynamic coiling tension of a Steckel mill according to claim 1, wherein: The S4 hydraulic servo system achieves closed-loop control of the tension by adjusting the rotation speed of the coiling furnace hub, the pressure of the pinch rollers and the position of the guide rollers.