Furnace temperature optimization method in belt changing process of horizontal continuous annealing furnace

Abstract

The invention relates to a furnace temperature optimization method in a belt changing process of a horizontal continuous annealing furnace. The method comprises the following steps: S1, constructing a dynamic response model of the annealing furnace; s2, before strip changing of the horizontal continuous annealing furnace, according to a preset strip changing plan and the current furnace condition, the annealing furnace dynamic response model is used for calculating the strip steel temperature and the set furnace temperature of each heating area in real time, and an optimal furnace temperature adjusting curve is generated; a temperature detection unit in the horizontal continuous annealing furnace is used for monitoring material temperature and furnace temperature changes in real time, the deviation between a set value and an actual value is calculated, and the furnace temperature set value of the horizontal continuous annealing furnace is dynamically adjusted according to the deviation value; s3, the control system adjusts the output power of a heating element in the horizontal continuous annealing furnace according to the optimal furnace temperature adjustment curve, so that the furnace temperature is executed according to the preset strip changing temperature; and S4, after belt replacement of the horizontal continuous annealing furnace is completed, the output power of a heating element in the horizontal continuous annealing furnace is adjusted, and the furnace temperature is restored to the temperature range of normal production. The method can improve the product quality and the production efficiency.

Description

Technical Field

[0001] The invention relates to the technical field of annealing of a horizontal continuous annealing furnace, and in particular to a method for optimizing the furnace temperature in a belt changing process of a horizontal continuous annealing furnace. Background Art

[0002] In the heat treatment industry, horizontal continuous annealing furnaces are an important type of heat treatment equipment, which are widely used in the heating and annealing processes of metal materials such as strips and plates. However, in the production process of horizontal continuous annealing furnaces, especially when changing strips (i.e., changing strips), the stability and control accuracy of the temperature in the furnace face great challenges. During the strip change process, due to changes in the heat distribution in the furnace, the readjustment of the heating elements, and the introduction of new strips, the furnace temperature often fluctuates greatly, which not only affects the heat treatment quality of the product, but also may lead to a decrease in production efficiency and an increase in energy consumption.

[0003] The traditional method of controlling the furnace temperature during the belt changing process of a horizontal continuous annealing furnace often relies on the operator's experience and manual adjustment. This method has the disadvantages of low control accuracy and slow response speed, and is difficult to meet the high requirements of modern industrial production for product quality and production efficiency. Therefore, further improvements to the existing technology are needed. Summary of the invention

[0004] The technical problem to be solved by the present invention is to provide a method for optimizing the furnace temperature in the belt changing process of a horizontal continuous annealing furnace, which can automatically adjust the temperature to improve product quality and production efficiency, in view of the above-mentioned prior art.

[0005] The technical solution adopted by the present invention to solve the above technical problems is: a method for optimizing the furnace temperature during the belt changing process of a horizontal continuous annealing furnace, characterized by comprising the following steps:

[0006] S1. Constructing a dynamic response model of an annealing furnace, which can predict the changing trend of the belt temperature and the furnace temperature during the belt changing process;

[0007] S2. Before the horizontal continuous annealing furnace changes the belt, according to the preset belt changing plan and the current furnace condition, the annealing furnace dynamic response model constructed in S1 is used to calculate the strip temperature and the set furnace temperature of each heating zone in real time, and generate the optimal furnace temperature adjustment curve. In addition, the multi-point temperature detection unit arranged in the horizontal continuous annealing furnace is used to monitor the material temperature and furnace temperature changes in real time, calculate the deviation between the set value and the actual value, and dynamically adjust the furnace temperature set value of the horizontal continuous annealing furnace according to the deviation value;

[0008] S3, the control system adjusts the output power of the heating element in the horizontal continuous annealing furnace according to the optimal furnace temperature adjustment curve, so that the furnace temperature is executed according to the preset belt change temperature;

[0009] S4. After the belt change of the horizontal continuous annealing furnace is completed, adjust the output power of the heating elements in the horizontal continuous annealing furnace to restore the furnace temperature to the temperature range required for normal production.

[0010] Preferably, the specific process of constructing the annealing furnace dynamic response model in S1 is:

[0011] The historical data of the horizontal continuous annealing furnace during multiple belt changing processes were collected and processed using mathematical modeling to obtain the dynamic response model of the annealing furnace.

[0012] Preferably, the calculation formula of the annealing furnace dynamic response model in S1 is:

[0013]

[0014] Where, ΔT 炉气 is the furnace temperature change rate; ρ s is the strip density; Cp s K is the specific heat capacity of the strip; s is the strip width; TV is the product of the strip thickness and the maximum process speed allowed by the unit at the strip thickness; ΔT 带钢 is the difference between the strip temperature out of the furnace and the temperature entering the furnace; ρ g is the furnace gas density of the horizontal continuous annealing furnace; Cp g is the specific heat capacity of furnace gas; V g is the furnace volume of the horizontal continuous annealing furnace.

[0015] Preferably, the specific calculation formula for setting the furnace temperature in S2 is:

[0016]

[0017] in, is the furnace temperature setting value of the nth furnace section, TV k is the current TV value, is the difference between the strip temperature at the nth furnace section and the temperature at the furnace entry; f(.,.) is the dynamic response model of the annealing furnace, TV k-1 is the TV value of the previous calculation cycle; ΔT 带钢1 is the difference between the temperature of the strip steel leaving the furnace and the temperature of the strip steel entering the furnace before welding; n 焊缝 is the furnace section number where the weld is located; ΔT 带钢2 It is the difference between the strip temperature out of the furnace and the temperature entering the furnace after welding.

[0018] Preferably, the deviation in S2 is the furnace temperature adjustment amount, and the furnace temperature adjustment amount ΔT g The calculation formula is:

[0019]

[0020] Among them, T sp is the target temperature of the strip, T0 is the temperature of the strip entering the furnace, T pv is the strip detection temperature, T g Current furnace temperature

[0021] Compared with the prior art, the advantages of the present invention are: by constructing a dynamic response model of the annealing furnace and by real-time monitoring of the furnace temperature changes through a multi-point temperature detection unit arranged in the horizontal continuous annealing furnace, automatic control and optimization of the furnace temperature are achieved, thereby improving the automation level and intelligence of the horizontal continuous annealing furnace; the furnace temperature optimization method reduces the waiting time and adjustment time in the belt changing process, shortens the entire production cycle, and improves production efficiency; in addition, by optimizing the furnace temperature setting value and the output power of the heating element, unnecessary heat loss and energy consumption are reduced, thereby reducing production costs; and the furnace temperature fluctuation range can be accurately controlled to ensure that the strip maintains stable heat treatment conditions during the belt changing process, thereby improving the consistency of product quality. BRIEF DESCRIPTION OF THE DRAWINGS

[0022] Figure 1 The present invention is a flowchart of a method for optimizing the furnace temperature during a belt changing process in a horizontal continuous annealing furnace. DETAILED DESCRIPTION

[0023] The present invention is further described in detail below with reference to the accompanying drawings.

[0024] like Figure 1 As shown, the method for optimizing the furnace temperature during the belt changing process of the horizontal continuous annealing furnace in this embodiment includes the following steps:

[0025] S1. Constructing a dynamic response model of an annealing furnace, which can predict the changing trend of the belt temperature and the furnace temperature during the belt changing process;

[0026] In this embodiment, the specific process of constructing the annealing furnace dynamic response model is:

[0027] The historical data of the horizontal continuous annealing furnace during multiple belt changing processes are collected and processed by mathematical modeling to obtain the dynamic response model of the annealing furnace. These historical data include key parameters such as furnace temperature change, heating element output power, strip material, belt changing speed, etc. These data are the basis for building the dynamic response model of the annealing furnace.

[0028] The calculation formula of the dynamic response model of the annealing furnace in this embodiment is:

[0029]

[0030] Where, ΔT 炉气 is the furnace temperature change rate, in °C / s; ρ s is the density of the strip, in kg / m3 ; Cp s is the specific heat capacity of the strip, in J / (kg·℃); K s is the strip width, in meters (m); TV is the product of the strip thickness and the maximum process speed allowed by the unit at the strip thickness, in m2 / s; ΔT 带钢 is the difference between the temperature of the strip out of the furnace and the temperature of the strip into the furnace, in °C; ρ g is the furnace gas density of the horizontal continuous annealing furnace, in kg / m 3 ; Cp g is the specific heat capacity of furnace gas, in J / (kg·℃); V g is the furnace volume of the horizontal continuous annealing furnace, in m 3 ;

[0031] S2. Before changing the belt in the horizontal continuous annealing furnace, according to the preset belt changing plan and the current furnace condition, the annealing furnace dynamic response model constructed in S1 is used to calculate the strip temperature and the set furnace temperature of each heating zone in real time, and generate the optimal furnace temperature adjustment curve to ensure that the furnace temperature can transition smoothly during the belt changing process and avoid sharp fluctuations;

[0032] In this embodiment, the specific calculation formula for setting the furnace temperature is:

[0033]

[0034] in, is the furnace temperature setting value of the nth furnace section, TV k is the current TV value, is the difference between the strip temperature at the nth furnace section and the temperature at the furnace entry; f(.,.) is the dynamic response model of the annealing furnace, TV k-1 is the TV value of the previous calculation cycle; ΔT 带钢1 is the difference between the temperature of the strip steel leaving the furnace and the temperature of the strip steel entering the furnace before welding; n 焊缝 is the furnace section number where the weld is located; ΔT 带钢2 It is the difference between the temperature of the strip steel leaving the furnace and the temperature of the strip steel entering the furnace after welding;

[0035] In addition, the multi-point temperature detection unit arranged in the horizontal continuous annealing furnace monitors the material temperature and furnace temperature changes in real time, calculates the deviation between the set value and the actual value, and dynamically adjusts the furnace temperature set value of the horizontal continuous annealing furnace according to the deviation value;

[0036] The above deviation is the furnace temperature adjustment amount, furnace temperature adjustment amount ΔT g The calculation formula is:

[0037]

[0038] Among them, T sp is the target temperature of the strip, T0 is the temperature of the strip entering the furnace, Tpv is the strip detection temperature, T g is the current furnace gas temperature;

[0039] S3, the control system adjusts the output power of the heating element in the horizontal continuous annealing furnace according to the optimal furnace temperature adjustment curve, so that the furnace temperature is executed according to the preset belt change temperature;

[0040] S4. After the belt change of the horizontal continuous annealing furnace is completed, adjust the output power of the heating elements in the horizontal continuous annealing furnace to restore the furnace temperature to the temperature range required for normal production.

[0041] In S3 of this embodiment, the output power of the heating element in the horizontal continuous annealing furnace is adjusted according to the optimal furnace temperature adjustment curve and the deviation value is dynamically adjusted according to the existing technology. The heating element in the horizontal continuous annealing furnace is also the existing technology, which will not be elaborated here.

[0042] During the tape change process, if an abnormal situation occurs (such as a temperature detection unit failure, heating element damage, etc.), the control system will issue an alarm signal and automatically switch to a safe control mode to avoid accidents. After the tape change is completed, the first batch of products after the tape change will be inspected to ensure that the product quality meets the standard requirements. If necessary, the furnace temperature optimization setting method can be fine-tuned to further improve product quality.

[0043] The above is only a preferred embodiment of the present invention. It should be pointed out that for ordinary technicians in this technical field, several improvements and modifications can be made without departing from the technical principles of the present invention. These improvements and modifications should also be regarded as the scope of protection of the present invention.

Claims

1. A method for optimizing furnace temperature during belt changing process of a horizontal continuous annealing furnace, characterized in that The steps include: S1. Constructing a dynamic response model of an annealing furnace, which can predict the changing trend of the belt temperature and the furnace temperature during the belt changing process; S2. Before changing the belt in the horizontal continuous annealing furnace, according to the preset belt changing plan and the current furnace condition, the annealing furnace dynamic response model constructed in S1 is used to calculate the strip temperature and the set furnace temperature of each heating zone in real time to generate the optimal furnace temperature adjustment curve. In addition, the multi-point temperature detection unit arranged in the horizontal continuous annealing furnace monitors the material temperature and furnace temperature changes in real time, calculates the deviation between the set value and the actual value, and dynamically adjusts the furnace temperature set value of the horizontal continuous annealing furnace according to the deviation value; S3, the control system adjusts the output power of the heating element in the horizontal continuous annealing furnace according to the optimal furnace temperature adjustment curve, so that the furnace temperature is executed according to the preset belt change temperature; S4. After the belt change of the horizontal continuous annealing furnace is completed, adjust the output power of the heating elements in the horizontal continuous annealing furnace to restore the furnace temperature to the temperature range required for normal production.

2. The method for optimizing furnace temperature during belt changing process of a horizontal continuous annealing furnace according to claim 1, characterized in that: The specific process of constructing the annealing furnace dynamic response model in S1 is: The historical data of the horizontal continuous annealing furnace during multiple belt changing processes were collected and processed using mathematical modeling to obtain the dynamic response model of the annealing furnace.

3. The method for optimizing furnace temperature during belt changing process of a horizontal continuous annealing furnace according to claim 2, characterized in that: The calculation formula of the dynamic response model of the annealing furnace in S1 is: Where, ΔT 炉气 is the furnace temperature change rate; ρ s is the strip density; Cp s K is the specific heat capacity of the strip; s is the strip width; TV is the product of the strip thickness and the maximum process speed allowed by the unit at the strip thickness; ΔT 带钢 is the difference between the strip temperature out of the furnace and the temperature entering the furnace; ρ g is the furnace gas density of the horizontal continuous annealing furnace; Cp g is the specific heat capacity of furnace gas; V g is the furnace volume of the horizontal continuous annealing furnace.

4. The method for optimizing furnace temperature during belt changing process of a horizontal continuous annealing furnace according to claim 3, characterized in that: The specific calculation formula for setting the furnace temperature in S2 is: in, is the furnace temperature setting value of the nth furnace section, TV k is the current TV value, is the difference between the strip temperature at the nth furnace section and the temperature at the furnace entry; f(.,.) is the dynamic response model of the annealing furnace, TV k-1 is the TV value of the previous calculation cycle; ΔT 带钢1 is the difference between the temperature of the strip steel leaving the furnace and the temperature of the strip steel entering the furnace before welding; n 焊缝 is the furnace section number where the weld is located; ΔT 带钢2 It is the difference between the strip temperature out of the furnace and the temperature entering the furnace after welding.

5. The method for optimizing furnace temperature during belt changing process of a horizontal continuous annealing furnace according to claim 4, characterized in that: The deviation in S2 is the furnace temperature adjustment amount, the furnace temperature adjustment amount ΔT g The calculation formula is: Among them, T sp is the target temperature of the strip, T0 is the temperature of the strip entering the furnace, T pv is the strip steel detection temperature, T g is the current furnace gas temperature.

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