CN113343514A - Method for optimizing heating system of walking beam furnace - Google Patents
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- 238000010438 heat treatment Methods 0.000 title claims abstract description 118
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- 239000003546 flue gas Substances 0.000 claims description 12
- 239000002184 metal Substances 0.000 claims description 12
- 239000000498 cooling water Substances 0.000 claims description 9
- 238000002791 soaking Methods 0.000 claims description 8
- 238000002485 combustion reaction Methods 0.000 claims description 6
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Abstract
The invention discloses a method for optimizing a heating system of a walking beam furnace, which comprises the following steps: establishing a billet thermophysical property parameter database; reading steel grade information; establishing a heating furnace basic parameter database; determining the boundary condition of a billet calculation model; establishing a heat transfer calculation model in a billet furnace; establishing a database of an optimal heating system of steel grades and an optimal temperature rise curve of steel billets; after the steel billet enters the furnace, acquiring heat balance calculation related data in real time on line, calculating the temperature rise process of the steel billet in the furnace based on dynamic heat balance, comparing the temperature rise process with the optimal temperature rise curve, and dynamically monitoring the temperature rise process in the steel billet furnace; and finishing the optimal heating of the steel billet. The method for optimizing the heating system of the walking beam furnace can effectively improve the heat efficiency of the heating furnace, reduce the fuel consumption and the oxidation burning loss of steel billets, and improve the product quality and finished materials.
Description
Technical Field
The invention relates to a method for optimizing a heating system of a heating furnace, in particular to a method for optimizing the heating system of a walking beam type heating furnace, and belongs to the technical field of optimization control of the heating furnace.
Background
The walking beam furnace is an important heating device of a steel rolling production line and is generally divided into a preheating section, a heating section and a soaking section along the length direction of the furnace, and some furnaces divide the heating section into a first heating section and a second heating section. The steel billet enters the heating furnace, is slowly heated in the preheating section, is intensively heated in the heating section, and finally enters the soaking section for soaking, so that the temperature of the section of the steel billet is uniformly distributed, and the temperature of the steel billet meets the tapping requirement. Whether the heating system is reasonable or not plays a decisive role in reducing the energy consumption of the heating furnace and improving the product quality. If the heating schedule is not reasonable, the tapping temperature of the plate blank is too high or too low. If the tapping temperature of the slab is too high, the oxidation burning loss rate of the steel billet is too high, the yield is low, and the energy consumption is increased; the tapping temperature of the plate blank is too low or the distribution is not uniform, so that the rolling requirement cannot be met, and the product quality is further influenced.
The hot rolling process has high requirements on the tapping temperature and the temperature uniformity of the plate blank, and the production efficiency of the heating furnace can be improved only by adopting a reasonable heating system on the premise of meeting the target tapping temperature of the steel blank in the heating furnace and reducing the heat loss and the fuel consumption of the furnace to the maximum extent. At present, the formulation of a heating system is determined mainly according to experience, parameters such as furnace temperature, furnace time, furnace temperature of each section and the like are determined according to the characteristics of a heated billet, the heating system is given before the billet is fed into the furnace, scientific theoretical support is lacked, and in the actual production process, the process parameters are influenced by a plurality of factors, frequently fluctuate, the actual temperature rise curve of the billet cannot be matched with an ideal state, the optimal heating effect cannot be achieved, and further the production efficiency of a heating furnace and the quality of subsequent rolled products are influenced.
Chinese patent publication No. CN103952529A discloses a method for optimizing the furnace temperature of a walking beam furnace based on thermal balance. The method utilizes the heat balance relation in the furnace to calculate the optimal furnace temperature of each section along the path length, so that the billet can reach the proper temperature and the temperature difference of the cross section within the specified time. The analysis process comprises the steps of setting the furnace temperature of each section, repeatedly calculating and obtaining the optimal furnace temperature distribution by taking the average temperature of the steel billet as a judgment standard, and determining the optimal furnace temperature system. However, the influence of various fluctuation factors in actual production is not considered, and the heat balance calculation data of the infinitesimal section are theoretical data and average values, which generate certain deviation from the actual working condition.
The Chinese patent with publication number CN102994731A discloses a heating curve calculation system and method for optimizing blanks in a heating furnace based on the heating furnace and a billet heat transfer model. The method corrects the heating curve through the sum deviation of the discharging temperature of the blank and the target temperature and the heating rate. The heating curve is only used for the schedule of the heating system before the blank enters the furnace, and can not be timely and accurately optimized and adjusted along with the fluctuation of production process conditions and parameters.
The prior art has the following problems: 1) the traditional heating system is mainly determined by the characteristics of the heated steel billet according to experience, lacks scientific theoretical support, and in order to ensure the rolling requirement and the product quality in the process of making the heating system, the furnace temperature is increased as much as possible, and the furnace time is prolonged, thereby causing unnecessary energy waste; 2) the method is mainly used for making the furnace temperature and the heating curve before billet heating, does not consider the influence of process parameter fluctuation and the like in actual production, is mainly used for in-advance control, and is difficult to adapt to the production requirements of strain process and variable rhythm. 3) The theoretical calculation basic data all adopt empirical data, average values and the like, the basic data cannot be fed back online in time for calculation, deviation exists between the theoretical calculation basic data and actual production working conditions, the current production state of the heating furnace cannot be accurately reflected, and adjustment can be performed in time.
Disclosure of Invention
The invention aims to provide a method for optimizing a heating system of a walking beam furnace, aiming at the problems and the defects in the prior art. The method is suitable for different steel grades and different blank specifications, and provides an optimal heating system for specific steel grades on the premise of meeting rolling requirements, so that the fuel consumption is reduced, and the heating quality and the yield are improved. The method is based on a model for predicting the heat balance in the furnace and the temperature of the steel billets to obtain the optimal heating system of the steel billets of different steel types and different specifications; and taking the target tapping temperature and the temperature difference requirement as judgment conditions, utilizing online detection data and a billet temperature prediction model, monitoring a billet temperature rise process curve in real time, comparing the temperature rise process curve with a temperature rise curve under an optimal heating system, and adjusting and optimizing in time if the temperature rise process curve deviates to achieve an ideal heating effect.
The invention is realized in such a way that:
a heating schedule optimization method of a walking beam furnace comprises the following steps:
1) establishing a billet thermophysical property parameter database;
2) reading steel grade information through a field production management system;
3) establishing a heating furnace basic parameter database;
4) dividing a plurality of infinitesimal sections along the furnace length direction, determining the heat absorbed by the steel billet based on the infinitesimal section heat balance, and further determining the boundary condition of the steel billet calculation model;
5) establishing a heat transfer calculation model in a billet furnace according to the furnace shape characteristics of a heating furnace, performing grid division on the length direction, the width direction and the thickness direction of the billet under a three-dimensional rectangular coordinate system, calculating the temperature of each point in the billet by using a finite difference method, and verifying and correcting the model by using a black box test;
6) reading related information of the step 1), the step 2) and the step 3), calling a mathematical model of the step 4) and the step 5), calculating the tapping temperature and the section temperature difference of the steel billet by using an empirical heating curve, comparing the tapping temperature and the section temperature difference with an allowable target temperature and temperature difference, adjusting the furnace temperature and the heating time of each section if the calculation result is not within an error allowable range, and repeating the step 6); if the calculated result is in good agreement with the target value, the working condition is determined as the optimal heating system of the steel grade, and a database of the optimal heating system of the steel grade and the optimal temperature rise curve of the steel billet is established;
7) calling a steel grade heating system database before the billet enters a furnace, automatically finishing the setting of the billet heating system, and calling an optimal temperature rise curve of the billet;
8) acquiring heat balance calculation related data in real time on line after a steel billet enters a furnace, calculating the temperature rise process of the steel billet in the furnace based on dynamic heat balance, comparing the temperature rise process with an optimal temperature rise curve, and dynamically monitoring the temperature rise process in the steel billet furnace;
9) if the dynamic temperature rise process in the billet furnace is well matched with the optimal temperature rise curve of the billet, the step 10) is carried out; if the temperature of the steel billet is higher than or lower than the optimal temperature rise curve by 3%, correcting the furnace temperature, correspondingly reducing or increasing the furnace temperature of the corresponding furnace section to further determine the required raw material consumption, repeating the steps 4), 5) and 8) until the steel billet meets the tapping requirement, and turning to the step 10);
10) and finishing the optimal heating of the steel billet.
The further scheme is as follows:
the billet thermophysical parameter database comprises the parameters of density, specific heat capacity, heat conductivity, target tapping temperature and allowable section temperature difference of a billet.
The further scheme is as follows:
the steel grade information comprises steel grade, length, width and thickness of a steel billet and initial charging temperature.
The further scheme is as follows:
the basic parameter database of the heating furnace comprises furnace lengths of a preheating section, a heating section and a soaking section of the heating furnace, the heights of upper and lower furnace chambers of each section, characteristic parameters of a refractory material of a furnace lining and the wall thickness of a furnace body.
The further scheme is as follows:
the heating section is divided into a heating section and two heating sections.
The further scheme is as follows:
the step 4) specifically comprises the following steps:
the heat income term of the micro element section comprises the fuel chemical heat dQ of the micro element section1Physical heat dQ from preheated air2Physical heat dQ from preheating fuel3Thermal dQ of metal oxidation4The smoke flowing into the upstream infinitesimal section of the present infinitesimal section brings into physical heat dQ5；
The heat extraction term of the micro-element section comprises the effective heat quantity dQ absorbed by the metal1', the slag takes away the heat dQ2', vaporization and cooling water take away heat dQ3', the flue gas takes away heat dQ4', heat loss dQ of incomplete combustion of fuel machine5', incomplete loss of heat from fuel chemistry dQ6', heat loss dQ of furnace body7', the smoke flowing into the next infinitesimal section takes away the heat dQ8’；
According to the heat balance equation dQ1+dQ2+dQ3+dQ4+dQ5＝dQ1’+dQ2’+dQ3’+dQ4’+dQ5’+dQ6’+dQ7’+dQ8' transient heat absorption of the billet in the infinitesimal can be determined, thereby determining the boundary conditions of the billet calculation model.
The further scheme is as follows:
the calculation of the rest heat except the metal oxidation heat by the micro-element heat income item utilizes the existing metering equipment of the heating furnace to read the transient data of the flow, the temperature, the pressure and the components of the fuel and the air in real time and on line for calculation;
the heat of metal oxidation was calculated based on the oxidation burning loss model as follows:
Wc＝aτ0.5e-b/T·F/1000
in the formula wcThe instantaneous oxidation burning loss of the billet is kg; τ is time, min; t is the temperature of the steel billet at DEG C; f is the surface area of the billet in cm2(ii) a a. b is a coefficient depending on the steel grade;
data required by calculation such as vaporization and cooling water heat removal, flue gas heat removal, incomplete combustion heat loss of fuel machinery, furnace body heat dissipation and the like in the micro-element heat removal item are read by existing metering equipment on line; obtaining temperature and flow data of an inlet and an outlet of steam and cooling water; thermocouple temperature readings at typical positions of the inner and outer surfaces of the furnace wall and real-time monitoring results of flue gas components of a flue gas analyzer at the tail of the furnace.
The invention provides a method for optimizing a heating system of a walking beam furnace. On the basis of the dynamic heat balance of the micro-element section of the heating furnace, the optimal heating system in the actual production process of the heating furnace is determined by taking the target discharge temperature of the steel billet and the optimal temperature rise curve as the judgment basis. The heating furnace can effectively improve the heat efficiency of the heating furnace, reduce the fuel consumption and the oxidation burning loss of the steel billet, and improve the product quality and the finished material.
Drawings
FIG. 1 is a flow chart of the technical solution of the present invention.
FIG. 2 is a schematic diagram of an optimal temperature rise curve of a certain steel grade.
Detailed Description
In order to better explain the invention, the main contents of the invention are further illustrated below by specific embodiments for a certain steel, but the contents of the invention are not limited to the following examples.
As shown in fig. 1, the method for optimizing the heating system of the walking beam furnace in the present embodiment includes the following steps.
1) And establishing a billet thermophysical parameter database, wherein the billet thermophysical parameter database comprises parameters such as density, specific heat capacity, heat conductivity, target tapping temperature, allowable section temperature difference and the like of the billet.
2) And reading steel type information including the length, width, thickness, initial furnace entering temperature and the like of the steel type and the steel billet through a field production management system.
The existing heating system is as follows: the preheating section temperature of the heating furnace is 1240 ℃, the first heating section temperature is 1330 ℃, the second heating section temperature is 1388 ℃, the soaking section temperature is 1388 ℃, and the total in-furnace time is 580 min. Due to the fact that the furnace temperature is high, oxidation burning loss of the plate blank is serious due to long furnace time, energy consumption of the heating furnace is increased, and meanwhile, a plurality of heating quality defects are caused.
3) Establishing a basic parameter database of the heating furnace, wherein the basic parameter database comprises the furnace length of a preheating section (first adding and second adding) and a soaking section of the heating furnace, the height of the upper and lower hearth of each section, the characteristic parameter of a refractory material of a furnace lining, the wall thickness of a furnace body and the like.
4) And dividing a plurality of micro-elements along the furnace length direction, determining the heat absorbed by the steel billet based on the heat balance of the micro-element section, and further determining the boundary condition of the steel billet calculation model.
Heat revenue term for micro-element segmentFuel chemico-thermal dQ including micro-segments1Physical heat dQ from preheated air2Physical heat dQ from preheating fuel3Thermal dQ of metal oxidation4The smoke flowing into the upstream infinitesimal section of the present infinitesimal section brings into physical heat dQ5。
The heat extraction term of the micro-element section comprises the effective heat quantity dQ absorbed by the metal1', the slag takes away the heat dQ2', vaporization and cooling water take away heat dQ3', the flue gas takes away heat dQ4', heat loss dQ of incomplete combustion of fuel machine5', incomplete loss of heat from fuel chemistry dQ6', heat loss dQ of furnace body7', the smoke flowing into the next infinitesimal section takes away the heat dQ8’。
According to the heat balance equation dQ1+dQ2+dQ3+dQ4+dQ5＝dQ1’+dQ2’+dQ3’+dQ4’+dQ5’+dQ6’+dQ7’+dQ8' transient heat absorption of the billet in the infinitesimal can be determined, thereby determining the boundary conditions of the billet calculation model.
5) A heat transfer calculation model in a billet furnace is established according to the furnace shape characteristics of a heating furnace, the length, width and thickness directions of the billet are subjected to grid division under a three-dimensional rectangular coordinate system, the temperature of each point in the billet is calculated by adopting a finite difference method, and the model is verified and corrected by utilizing a black box test.
6) Reading related information of the step 1), the step 2) and the step 3), calling a mathematical model of the step 4) and the step 5), calculating the tapping temperature and the section temperature difference of the billet by using an empirical heating curve, comparing the tapping temperature and the section temperature difference with an allowable target temperature and temperature difference, adjusting the furnace temperature if the calculation result is not within an error allowable range, and repeating the step 6); if the calculated result is in good agreement with the target value, the working condition is determined as the optimal heating system of the steel grade, and a database of the optimal heating system of the steel grade and the optimal temperature rise curve of the steel billet is established.
The billet steel is heated to 1350 ℃, and the temperature is kept for more than 45min to meet the heating requirement. The optimized heating system is obtained by optimization calculation and is shown in the following table.
TABLE 1 billet heating System optimization results
Through the analysis of the change of the process temperature field and the appearance observation in a JEM-2100F type transmission electron microscope, the scheme 3 meets the requirement of heating temperature, the organization appearance after heating also meets the requirements of furnace discharging conditions and subsequent rolling process, the furnace temperature and the furnace time of a second heating and soaking section are greatly reduced, and the oxidation burning loss of the steel billet and the energy consumption of a heating furnace can be effectively reduced. The optimum temperature rise curve is shown in fig. 2.
7) And calling a steel grade heating system database before the billet enters the furnace, automatically finishing the setting of the billet heating system, and calling an optimal temperature rise curve of the billet.
8) And (3) collecting heat balance calculation related data on line in real time, calculating the temperature rise process of the steel billet in the furnace based on dynamic heat balance, comparing the temperature rise process with the optimal temperature rise curve, and dynamically monitoring the temperature rise process in the steel billet furnace.
The calculation of the rest of heat except the metal oxidation heat is carried out by utilizing the existing metering equipment of the heating furnace to read the transient data of the flow, the temperature, the pressure and the components of the fuel and the air in real time on line. The heat of metal oxidation was calculated based on the oxidation burning loss model as follows:
Wc＝aτ0.5e-b/T·F/1000
in the formula wcThe instantaneous oxidation burning loss of the billet is kg; τ is time, min; t is the temperature of the steel billet at DEG C; f is the surface area of the billet in cm2(ii) a a. b is a coefficient depending on the steel type.
The data required by calculation such as vaporization and cooling water heat removal, flue gas heat removal, incomplete combustion heat loss of fuel machinery, furnace body heat dissipation and the like in the micro-element heat removal item are all read by the existing metering equipment on line. Obtaining temperature and flow data of an inlet and an outlet of steam and cooling water; thermocouple temperature readings at typical positions on the inner and outer surfaces of the furnace wall, real-time monitoring results of flue gas components of a flue gas analyzer at the tail of the furnace and the like.
9) And if the dynamic temperature rise process in the billet furnace is well matched with the optimal temperature rise curve of the billet, turning to the step 10). And if the temperature of the steel billet is higher than or lower than the optimal temperature rise curve by 3%, correcting the furnace temperature, correspondingly reducing or increasing the furnace temperature of the corresponding furnace section to further determine the required raw material consumption, repeating the steps 4), 5) and 8) until the tapping requirement is met, and turning to the step 10).
10) And finishing the optimal heating of the steel billet.
Although the present invention has been described herein with reference to the illustrated embodiments thereof, which are intended to be preferred embodiments of the present invention, it is to be understood that the invention is not limited thereto, and that numerous other modifications and embodiments can be devised by those skilled in the art that will fall within the spirit and scope of the principles of this disclosure.
Claims (7)
1. A method for optimizing the heating system of a walking beam furnace is characterized by comprising the following steps:
1) establishing a billet thermophysical property parameter database;
2) reading steel grade information through a field production management system;
3) establishing a heating furnace basic parameter database;
4) dividing a plurality of infinitesimal sections along the furnace length direction, determining the heat absorbed by the steel billet based on the infinitesimal section heat balance, and further determining the boundary condition of the steel billet calculation model;
5) establishing a heat transfer calculation model in a billet furnace according to the furnace shape characteristics of a heating furnace, performing grid division on the length direction, the width direction and the thickness direction of the billet under a three-dimensional rectangular coordinate system, calculating the temperature of each point in the billet by using a finite difference method, and verifying and correcting the model by using a black box test;
6) reading related information of the step 1), the step 2) and the step 3), calling a mathematical model of the step 4) and the step 5), calculating the tapping temperature and the section temperature difference of the steel billet by using an empirical heating curve, comparing the tapping temperature and the section temperature difference with an allowable target temperature and temperature difference, adjusting the furnace temperature and the heating time of each section if the calculation result is not within an error allowable range, and repeating the step 6); if the calculated result is in good agreement with the target value, the working condition is determined as the optimal heating system of the steel grade, and a database of the optimal heating system of the steel grade and the optimal temperature rise curve of the steel billet is established;
7) calling a steel grade heating system database before the billet enters a furnace, automatically finishing the setting of the billet heating system, and calling an optimal temperature rise curve of the billet;
8) acquiring heat balance calculation related data in real time on line after a steel billet enters a furnace, calculating the temperature rise process of the steel billet in the furnace based on dynamic heat balance, comparing the temperature rise process with an optimal temperature rise curve, and dynamically monitoring the temperature rise process in the steel billet furnace;
9) if the dynamic temperature rise process in the billet furnace is well matched with the optimal temperature rise curve of the billet, the step 10) is carried out; if the temperature of the steel billet is higher than or lower than the optimal temperature rise curve by 3%, correcting the furnace temperature, correspondingly reducing or increasing the furnace temperature of the corresponding furnace section to further determine the required raw material consumption, repeating the steps 4), 5) and 8) until the steel billet meets the tapping requirement, and turning to the step 10);
10) and finishing the optimal heating of the steel billet.
2. The method for optimizing the heating system of the walking beam furnace according to claim 1, wherein:
the billet thermophysical parameter database comprises the parameters of density, specific heat capacity, heat conductivity, target tapping temperature and allowable section temperature difference of a billet.
3. The method for optimizing the heating system of the walking beam furnace according to claim 1, wherein:
the steel grade information comprises steel grade, length, width and thickness of a steel billet and initial charging temperature.
4. The method for optimizing the heating system of the walking beam furnace according to claim 1, wherein:
the basic parameter database of the heating furnace comprises furnace lengths of a preheating section, a heating section and a soaking section of the heating furnace, the heights of upper and lower furnace chambers of each section, characteristic parameters of a refractory material of a furnace lining and the wall thickness of a furnace body.
5. The method for optimizing the heating schedule of the walking beam furnace according to claim 4, wherein:
the heating section is divided into a heating section and two heating sections.
6. The method for optimizing the heating system of the walking beam furnace according to claim 1, wherein:
the step 4) specifically comprises the following steps:
the heat income term of the micro element section comprises the fuel chemical heat dQ of the micro element section1Physical heat dQ from preheated air2Physical heat dQ from preheating fuel3Thermal dQ of metal oxidation4The smoke flowing into the upstream infinitesimal section of the present infinitesimal section brings into physical heat dQ5；
The heat extraction term of the micro-element section comprises the effective heat quantity dQ absorbed by the metal1', the slag takes away the heat dQ2', vaporization and cooling water take away heat dQ3', the flue gas takes away heat dQ4', heat loss dQ of incomplete combustion of fuel machine5', incomplete loss of heat from fuel chemistry dQ6', heat loss dQ of furnace body7', the smoke flowing into the next infinitesimal section takes away the heat dQ8’；
According to the heat balance equation dQ1+dQ2+dQ3+dQ4+dQ5＝dQ1’+dQ2’+dQ3’+dQ4’+dQ5’+dQ6’+dQ7’+dQ8' transient heat absorption of the billet in the infinitesimal can be determined, thereby determining the boundary conditions of the billet calculation model.
7. The method for optimizing the heating schedule of the walking beam furnace according to claim 6, wherein:
the calculation of the rest heat except the metal oxidation heat by the micro-element heat income item utilizes the existing metering equipment of the heating furnace to read the transient data of the flow, the temperature, the pressure and the components of the fuel and the air in real time and on line for calculation;
the heat of metal oxidation was calculated based on the oxidation burning loss model as follows:
Wc＝aτ0.5e-b/T·F/1000
in the formula wcThe instantaneous oxidation burning loss of the billet is kg; τ is time, min; t is the temperature of the steel billet at DEG C; f is the surface area of the billet in cm2(ii) a a. b is a coefficient depending on the steel grade;
data required by calculation such as vaporization and cooling water heat removal, flue gas heat removal, incomplete combustion heat loss of fuel machinery, furnace body heat dissipation and the like in the micro-element heat removal item are read by existing metering equipment on line; obtaining temperature and flow data of an inlet and an outlet of steam and cooling water; thermocouple temperature readings at typical positions of the inner and outer surfaces of the furnace wall and real-time monitoring results of flue gas components of a flue gas analyzer at the tail of the furnace.
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| Application Number | Priority Date | Filing Date | Title |
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| CN202110517069.1A CN113343514A (en) | 2021-05-12 | 2021-05-12 | Method for optimizing heating system of walking beam furnace |
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| CN202110517069.1A CN113343514A (en) | 2021-05-12 | 2021-05-12 | Method for optimizing heating system of walking beam furnace |
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| CN114015863A (en) * | 2021-11-05 | 2022-02-08 | 南京罕华流体技术有限公司 | Self-correction algorithm for billet heating model |
| CN114752753A (en) * | 2022-04-22 | 2022-07-15 | 浙江优燃节能科技有限公司 | Furnace temperature setting method suitable for H-shaped steel rolling heating furnace |
| CN114990311A (en) * | 2022-07-04 | 2022-09-02 | 宝武杰富意特殊钢有限公司 | Heating control method for large-section high-carbon chromium bearing steel continuous casting billet |
| CN115121631A (en) * | 2022-05-13 | 2022-09-30 | 燕山大学 | Temperature control method based on heating furnace blank temperature and furnace temperature collaborative pre-regulation partition decoupling |
| CN115287446A (en) * | 2022-07-01 | 2022-11-04 | 燕山大学 | Long-range big data centralized control system of wisdom heating furnace |
| CN116694919A (en) * | 2023-06-12 | 2023-09-05 | 无锡市海峰海林精密轴承有限公司 | Optimization method and system for bearing bainite heat treatment process |
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| CN114015863A (en) * | 2021-11-05 | 2022-02-08 | 南京罕华流体技术有限公司 | Self-correction algorithm for billet heating model |
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| CN115287446A (en) * | 2022-07-01 | 2022-11-04 | 燕山大学 | Long-range big data centralized control system of wisdom heating furnace |
| CN114990311A (en) * | 2022-07-04 | 2022-09-02 | 宝武杰富意特殊钢有限公司 | Heating control method for large-section high-carbon chromium bearing steel continuous casting billet |
| CN116694919A (en) * | 2023-06-12 | 2023-09-05 | 无锡市海峰海林精密轴承有限公司 | Optimization method and system for bearing bainite heat treatment process |
| CN116694919B (en) * | 2023-06-12 | 2023-11-21 | 无锡市海峰海林精密轴承有限公司 | Optimization method and system for bearing bainite heat treatment process |
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