CN103192047A - Automatic control system and control method for cooling water of crystallizer for novel continuous casting machine - Google Patents
Automatic control system and control method for cooling water of crystallizer for novel continuous casting machine Download PDFInfo
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Abstract
The invention discloses an automatic control system and a control method for cooling water of the crystallizer for a novel continuous casting machine. The invention adopts the scheme that the heat flow value of the crystallizer is calculated through a water inlet temperature detector and a water return temperature detector on the crystallizer, definite flow of cooling water of the crystallizer is corrected as per the heat flow value, and influence to the slab quality and casting safety when heat-conducting property of the crystallizer is changed is removed by changing water allocation amount of cooling water.
Description
Technical field
The present invention relates to a kind of conticaster automatic control technology, especially relate to a kind of novel conticaster crystallizer cooling water automatic control system and control method thereof.
Background technology
During the conticaster of metallurgical industry was produced, crystallizer was one of equipment of most critical, and crystallizer cooling water control system is one of key factor of conticaster efficient stable production.How the high-quality work of efficient stable is the problem that people pay close attention to always to conticaster, the improper serious accident that can influence cc billet surface quality even bring out bleed-out of crystallizer water quench intensity, therefore set up reliable crystallizer cooling water water allocation model, the water distribution strategy of application of advanced is the key that improves slab quality, improves casting efficient.
As shown in Figure 1, be the workflow diagram of model-controlled system in the prior art; As shown in Figure 2, be model control principle figure in the prior art.Model-controlled system comprises electromagnetic flowmeter, data acquisition module, CPU, signal output module, pneumatic control valve, communication module, second-level model and man machine operation interface structures such as (HMI).
The crystallizer cooling pool of continuous casting is made up of narrow limit, crystallizer left side, narrow limit, crystallizer right side, crystallizer fixation side, loosening four cooling zones of side of crystallizer.The crystallizer cooling water water management model that is based on strand steel grade and section of present use, namely according to different steel grades, different section is set the different crystallizer cooling water water water yields, only the crystallizer cooling water water yield changes when strand steel grade and section change, the method is based on production practices, reference is the water distribution quantity inducing classification of qualified strand repeatedly, and in conjunction with certain Study on Mathematic Model, the relation of the steel grade of determining and the section syncrystallization device cooling water water distribution water yield, form with water meter is stored in the host computer, and the crystallizer cooling water water water distribution quantity of being set according to the host computer water meter by PLC carries out PID and controls automatically.
Said method PLC can guarantee that the crystallizer water distribution quantity is consistent with section variation with steel grade.Above-mentioned crystallizer cooling water control system is only relevant with the water yield and steel grade, does not consider the heat conductivility of crystallizer.It is no problem that this model uses under the stable situation of casting cycle.
But this model has obvious defects: only can normally use under the stable situation of casting cycle, can't be suitable for when site environment or technological factor change.When protium content increased in the molten steel, the heat conductivility of crystallizer protecting residue worsened, and the crystallizer heat conductivility changes.If still the cooling water specified rate that calculates according to model is cast and can be caused the inhomogeneous even base shell generation thickness deficiency of casting blank shell generation in the crystallizer, influence slab quality even bring out bleed-out.
Summary of the invention
Technical problem solved by the invention provides a kind of novel conticaster crystallizer cooling water automatic control system, has overcome when the crystallizer heat conductivility changes slab quality and the safe influence of casting.
Technical scheme is as follows:
A kind of novel conticaster crystallizer cooling water automatic control system comprises:
The inflow temperature detector for detection of the inflow temperature of crystallizer, and sends to data acquisition module with detected crystallizer inflow temperature value;
The return water temperature detector for detection of the return water temperature of crystallizer, and sends to data acquisition module with detected crystallizer return water temperature value;
Electromagnetic flowmeter for detection of the cooling water flow of crystallizer, and is sent to data acquisition module with actual cooling water flow value;
Data acquisition module be used for cooling water flow value, crystallizer inflow temperature value and crystallizer return water temperature value are converted to the signal of identifying CPU respectively, and the signal after will handling is sent to CPU;
CPU, the setting cooling water flow value and the described actual cooling water flow value that obtain according to crystallizer inflow temperature value and crystallizer return water temperature value carry out the PID computing, form control signal, and described control signal is sent to signal output module;
Signal output module is used for the described control signal that CPU generates is sent to pneumatic control valve;
Pneumatic control valve is regulated aperture according to the control signal that receives, and realizes the adjusting of crystallizer cooling water.
Further: described CPU calculates the actual heat flow value of current crystallizer according to crystallizer inflow temperature value and crystallizer return water temperature value, and actual heat flow value compared and draw the hot-fluid deviate with being stored in setting benchmark heat flow value among the described CPU, calculate revised setting cooling water flow value according to the hot-fluid deviate; CPU goes out the actual cooling water flow of current crystallizer according to the cooling water flow calculated signals of electromagnetic flowmeter subsequently, carries out the PID computing according to setting cooling water flow value and actual cooling water flow value, forms control signal.
Further: described CPU communicates with the cooling water water allocation model by communication module, setting cooling water flow is sent among the CPU by the cooling water water allocation model, CPU receive behind the signal in conjunction with data acquisition module receive the revised setting cooling water flow value that calculates of inflow temperature value and return water temperature temperature value, then by described signal output module control described pneumatic control valve begin to move up to the actual cooling water flow of described electromagnetic flowmeter feedback with the deviation of revised setting cooling water flow value within the specific limits till.
Further: set the cooling water flow value and obtain by formula Q=a △ T+Qs and △ T=Ts-Tp; Wherein, Q is the water distribution quantity of crystallizer cooling zone; a is the crystallizer cooling zone control parameter under specific steel grade and the section condition; T is the hot-fluid deviate under specific steel grade, specific covering slag and the specific section condition; Ts is the setting benchmark hot-fluid setting value that is stored among the CPU; Tp is the actual heat flow value that calculates current crystallizer, and Qs is the cooling water flow setting value that traditional cooling water water allocation model draws.
Further: the opening degree of pneumatic control valve obtains by formula F=K (KP △ Q+KI * ∫ △ Q.dt) and Q=Q – Qp in the described control signal; Wherein, F is the opening degree of pneumatic control valve, and K represents the coefficient of PID, and KP represents proportionality coefficient, and KI represents integral coefficient, and Qp is for calculating the actual cooling water discharge of current crystallizer, the deviate of Δ Q cooling water flow.
Another technical problem solved by the invention provides a kind of novel conticaster crystallizer cooling water autocontrol method, has overcome when the crystallizer heat conductivility changes slab quality and the safe influence of casting.
Technical scheme is as follows:
A kind of novel conticaster crystallizer cooling water autocontrol method comprises:
The inflow temperature detector detects the inflow temperature of crystallizer, and detected crystallizer inflow temperature value is sent to data acquisition module;
The return water temperature detector detects the return water temperature of crystallizer, and detected crystallizer return water temperature value is sent to data acquisition module;
Electromagnetic flowmeter detects the cooling water flow of crystallizer, and actual cooling water flow value is sent to data acquisition module;
Data acquisition module is converted to the signal of identifying CPU respectively with cooling water flow value, crystallizer inflow temperature value and crystallizer return water temperature value, and the signal after will handling is sent to CPU;
CPU carries out the PID computing according to setting cooling water flow value and the described actual cooling water flow value that crystallizer inflow temperature value and crystallizer return water temperature value obtain, and forms control signal, and described control signal is sent to signal output module;
Signal output module sends to pneumatic control valve with the described control signal that CPU generates;
Pneumatic control valve is regulated aperture according to the control signal that receives, and realizes the adjusting of crystallizer cooling water.
Further: described CPU calculates the actual heat flow value of current crystallizer according to crystallizer inflow temperature value and crystallizer return water temperature value, and actual heat flow value compared and draw the hot-fluid deviate with being stored in setting benchmark heat flow value among the described CPU, calculate revised setting cooling water flow value according to the hot-fluid deviate; CPU goes out the actual cooling water flow of current crystallizer according to the cooling water flow calculated signals of electromagnetic flowmeter subsequently, carries out the PID computing according to setting cooling water flow value and actual cooling water flow value, forms control signal.
Further: described CPU communicates with the cooling water water allocation model by communication module, setting cooling water flow is sent among the CPU by the cooling water water allocation model, CPU receive behind the signal in conjunction with data acquisition module receive the revised setting cooling water flow value that calculates of inflow temperature value and return water temperature temperature value, then by described signal output module control described pneumatic control valve begin to move up to the actual cooling water flow of described electromagnetic flowmeter feedback with the deviation of revised setting cooling water flow value within the specific limits till.
Further: set the cooling water flow value and obtain by formula Q=a △ T+Qs and △ T=Ts-Tp; Wherein, Q is the water distribution quantity of crystallizer cooling zone; a is the crystallizer cooling zone control parameter under specific steel grade and the section condition; T is the hot-fluid deviate under specific steel grade, specific covering slag and the specific section condition; Ts is the setting benchmark hot-fluid setting value that is stored among the CPU; Tp is the actual heat flow value that calculates current crystallizer, and Qs is the cooling water flow setting value that traditional cooling water water allocation model draws.
Further: the opening degree of pneumatic control valve obtains by formula F=K (KP △ Q+KI * ∫ △ Q.dt) and Q=Q – Qp in the described control signal; Wherein, F is the opening degree of pneumatic control valve, and K represents the coefficient of PID, and KP represents proportionality coefficient, and KI represents integral coefficient, and Qp is for calculating the actual cooling water discharge of current crystallizer, the deviate of Δ Q cooling water flow.
Compared with prior art, technique effect comprises:
1, the present invention has considered that not only different steel grades, different section set the different crystallizer cooling water water water yields to the influence of the crystallizer cooling water water yield, regulate the crystallizer cooling water flow when also having set the crystallizer heat conductivility and changing, thereby reach when eliminating the crystallizer heat conductivility and changing the influence to strand.So the present invention has overcome when the crystallizer heat conductivility changes slab quality and the safe influence of casting.
2, utilize the present invention to save because the influence that the bleed-out accident causes.
Bleed-out accident impact of every generation was produced 6 hours, per hour produce 240 tons, 2000 yuan of calculating of strand per ton, damage 6 * 240 * 2,00=,288 ten thousand, each bleed-out need be changed tundish, crystallizer, 0 section on fan type, crystallizer maintenance cost=200,000 yuan/, 0 section maintenance cost=150,000 of fan type yuan/, tundish expense=1.5 ten thousand yuan/.Each bleed-out loses 2,880,000 yuan+200,000 yuan+150,000 yuan+1.5 ten thousand yuan=324.5 ten thousand yuan altogether.Be that bleed-out accident of every prevention can be saved 234.5 ten thousand yuan.
Description of drawings
Fig. 1 is the workflow diagram of model-controlled system in the prior art;
Fig. 2 is the schematic diagram of control method in the prior art;
Fig. 3 is the workflow diagram of model control system among the present invention;
Fig. 4 is control method schematic diagram among the present invention.
The specific embodiment
The present invention is directed to the fluctuation of crystallizer heat conductivility to this problem that influences of crystallizer cooling water water distribution quantity, develop a kind of novel conticaster crystallizer cooling water automatic control system and control method, when being intended to eliminate the crystallizer heat conductivility and changing to the influence of casting safety and slab quality.
Novel conticaster crystallizer cooling water automatic control system provided by the invention and control method are based on the crystallizer cooling water control device of crystallizer hot-fluid, slab steel grade and slab section.
As described in Figure 3, be the workflow diagram of model-controlled system among the present invention.Novel conticaster crystallizer cooling water automatic control system provided by the invention, model-controlled system of the prior art is improved, inflow temperature detector, return water temperature detector have been increased at crystallizer, improved the function of central processing unit (CPU), inflow temperature detector, return water temperature detector are connected to data acquisition module by cable; Inflow temperature detector, return water temperature detector are respectively applied to detect the water inlet of crystallizer and the temperature of backwater, and crystallizer inflow temperature signal and crystallizer return water temperature signal sent to data acquisition module by cable, the signal after data acquisition module will be handled is sent in the central processing unit (CPU).
As shown in Figure 4, be control method schematic diagram among the present invention.The invention provides a kind of brand-new control method, calculate the heat flow value of crystallizer by the inflow temperature detector on the crystallizer and return water temperature detector, according to heat flow value the crystallizer cooling water is set flow and revise, reach when eliminating the crystallizer heat conductivility and changing influence to slab quality and casting safety by changing the cooling water water distribution quantity.Control method is: CPU communicates with the cooling water water allocation model by communication module, setting cooling water flow is sent in CPU by the cooling water water allocation model, CPU receives after signal in conjunction with data acquisition module and receives to obtain the revised setting cooling water flow that calculates of inflow temperature detector and return water temperature detector, then control by signal output module that pneumatic control valve starts to move until the actual cooling water flow of electromagnetic flowmeter feedback with the deviate of revised setting cooling water flow within the specific limits
Below in conjunction with Fig. 3 and Fig. 4, function and the course of work of the inflow temperature detector on the crystallizer, return water temperature detector, electromagnetic flowmeter, data acquisition module, CPU, signal output module, pneumatic control valve and HMI interface module elaborated.
The inflow temperature detector for detection of the inflow temperature of crystallizer, and sends to data acquisition module with detected crystallizer inflow temperature value.
The return water temperature detector for detection of the return water temperature of crystallizer, and sends to data acquisition module with detected crystallizer return water temperature value.
Electromagnetic flowmeter for detection of the cooling water flow of crystallizer, and is sent to data acquisition module with the cooling water flow value.
Data acquisition module is used for cooling water flow value, crystallizer inflow temperature value and crystallizer return water temperature value are converted to the CPU discernible signal, and the signal after handling is sent among the CPU.
The cooling water water allocation model is used for setting different crystallizer cooling water flows according to different casting blank steel grade, different section, only crystallizer cooling water flow change when strand steel grade and section change; The cooling water water allocation model is based on production practices, and reference is the water distribution quantity inducing classification of qualified strand repeatedly, and in conjunction with certain Study on Mathematic Model, the relation of the strand steel grade of determining and section syncrystallization device cooling water distributed water flow.
CPU carries out the PID computing according to setting cooling water flow value and actual cooling water flow value, forms control signal, and control signal is sent to pneumatic control valve by signal output module, and the control pneumatic control valve is regulated cooling water flow.CPU by signal output module control pneumatic control valve begin to move up to the actual cooling water flow of electromagnetic flowmeter feedback with the difference of revised setting cooling water flow within the specific limits till, finally reach when eliminating the crystallizer heat conductivility and changing influence to slab quality and casting safety by changing the cooling water water distribution quantity.CPU communicates with the cooling water water allocation model by communication module, set cooling water flow and sent among the CPU by the cooling water water allocation model, CPU receives behind the signal and to receive to such an extent that inflow temperature value and return water temperature value calculate revised setting cooling water flow in conjunction with data acquisition module.
Signal output module is used for the control signal that CPU generates is sent to pneumatic control valve.
Pneumatic control valve is regulated aperture according to control signal, realizes the adjusting of crystallizer cooling water, comes crystallization control device cooling water flow by pneumatic control valve, thereby reaches when eliminating the crystallizer heat conductivility and changing the influence to strand.
The HMI interface module by the real-time Communication for Power of communication module realization and CPU, can be monitored the signal that the transmission of PLC control system comes in real time, produces alarm signal and failure diagnosis information.
Below in conjunction with accompanying drawing 4, control method is elaborated.
CPU, go out the actual heat flow value of current crystallizer according to crystallizer inflow temperature signal and crystallizer return water temperature calculated signals, and actual heat flow value compared and draw the hot-fluid deviate with being stored in setting benchmark heat flow value among the CPU, calculate revised cooling water flow setting value according to the hot-fluid deviate.This part control can be summarized as following mathematic(al) representation:
Q=a△T+Qs，△T=Ts-Tp
Wherein Q is the water distribution quantity of crystallizer cooling zone;
A is the crystallizer cooling zone control parameter under specific steel grade, the section condition;
T is the hot-fluid deviate under specific steel grade, specific covering slag, the specific section condition;
Ts is the setting benchmark hot-fluid setting value that is stored among the CPU;
Tp is the actual heat flow value that calculates current crystallizer;
Qs is the cooling water flow setting value that traditional cooling water water allocation model draws.
CPU calculates the actual cooling water flow value of current crystallizer according to the cooling water flow value of electromagnetic flowmeter subsequently; Carry out the PID computing according to setting cooling water flow value and actual cooling water flow value, form control signal, and control signal is sent to pneumatic control valve by signal output module, the control pneumatic control valve is regulated discharge.This part control method can be summarized as following mathematic(al) representation:
F=K(KP△Q+KI×∫△Q.dt)，Q=Q–Qp
Wherein, F is the opening degree of pneumatic control valve;
K represents the coefficient of PID;
KP represents proportionality coefficient;
KI represents integral coefficient;
Qp is for calculating the actual cooling water discharge of current crystallizer;
The deviate of Δ Q cooling water flow;
Finally reach when eliminating the crystallizer heat conductivility and changing influence to slab quality and casting safety by changing the cooling water water distribution quantity.
What more than enumerate only is a specific embodiment.Obviously the present invention not only is confined to above embodiment, and many distortion can also be arranged.As the PLC system is substituted with the DCS system.All distortion that those of ordinary skill in the art can directly derive or associate from content disclosed by the invention all should be thought protection scope of the present invention.
Claims (10)
1. novel conticaster crystallizer cooling water automatic control system comprises:
The inflow temperature detector for detection of the inflow temperature of crystallizer, and sends to data acquisition module with detected crystallizer inflow temperature value;
The return water temperature detector for detection of the return water temperature of crystallizer, and sends to data acquisition module with detected crystallizer return water temperature value;
Electromagnetic flowmeter for detection of the cooling water flow of crystallizer, and is sent to data acquisition module with actual cooling water flow value;
Data acquisition module be used for cooling water flow value, crystallizer inflow temperature value and crystallizer return water temperature value are converted to the signal of identifying CPU respectively, and the signal after will handling is sent to CPU;
CPU, the setting cooling water flow value and the described actual cooling water flow value that obtain according to crystallizer inflow temperature value and crystallizer return water temperature value carry out the PID computing, form control signal, and described control signal is sent to signal output module;
Signal output module is used for the described control signal that CPU generates is sent to pneumatic control valve;
Pneumatic control valve is regulated aperture according to the control signal that receives, and realizes the adjusting of crystallizer cooling water.
2. novel conticaster crystallizer cooling water automatic control system as claimed in claim 1, it is characterized in that: described CPU calculates the actual heat flow value of current crystallizer according to crystallizer inflow temperature value and crystallizer return water temperature value, and actual heat flow value compared and draw the hot-fluid deviate with being stored in setting benchmark heat flow value among the described CPU, calculate revised setting cooling water flow value according to the hot-fluid deviate; CPU goes out the actual cooling water flow of current crystallizer according to the cooling water flow calculated signals of electromagnetic flowmeter subsequently, carries out the PID computing according to setting cooling water flow value and actual cooling water flow value, forms control signal.
3. as claim 1 or 2 described novel conticaster crystallizer cooling water automatic control systems, it is characterized in that: described CPU communicates with the cooling water water allocation model by communication module, setting cooling water flow is sent among the CPU by the cooling water water allocation model, CPU receive behind the signal in conjunction with data acquisition module receive the revised setting cooling water flow value that calculates of inflow temperature value and return water temperature temperature value, then by described signal output module control described pneumatic control valve begin to move up to the actual cooling water flow of described electromagnetic flowmeter feedback with the deviation of revised setting cooling water flow value within the specific limits till.
4. novel conticaster crystallizer cooling water automatic control system as claimed in claim 2 is characterized in that: set the cooling water flow value and obtain by formula Q=a △ T+Qs and △ T=Ts-Tp; Wherein, Q is the water distribution quantity of crystallizer cooling zone; a is the crystallizer cooling zone control parameter under specific steel grade and the section condition; T is the hot-fluid deviate under specific steel grade, specific covering slag and the specific section condition; Ts is the setting benchmark hot-fluid setting value that is stored among the CPU; Tp is the actual heat flow value that calculates current crystallizer, and Qs is the cooling water flow setting value that traditional cooling water water allocation model draws.
5. novel conticaster crystallizer cooling water automatic control system as claimed in claim 4, it is characterized in that: the opening degree of pneumatic control valve obtains by formula F=K (KP △ Q+KI * ∫ △ Q.dt) and Q=Q – Qp in the described control signal; Wherein, F is the opening degree of pneumatic control valve, and K represents the coefficient of PID, and KP represents proportionality coefficient, and KI represents integral coefficient, and Qp is for calculating the actual cooling water discharge of current crystallizer, the deviate of Δ Q cooling water flow.
6. novel conticaster crystallizer cooling water autocontrol method comprises:
The inflow temperature detector detects the inflow temperature of crystallizer, and detected crystallizer inflow temperature value is sent to data acquisition module;
The return water temperature detector detects the return water temperature of crystallizer, and detected crystallizer return water temperature value is sent to data acquisition module;
Electromagnetic flowmeter detects the cooling water flow of crystallizer, and actual cooling water flow value is sent to data acquisition module;
Data acquisition module is converted to the signal of identifying CPU respectively with cooling water flow value, crystallizer inflow temperature value and crystallizer return water temperature value, and the signal after will handling is sent to CPU;
CPU carries out the PID computing according to setting cooling water flow value and the described actual cooling water flow value that crystallizer inflow temperature value and crystallizer return water temperature value obtain, and forms control signal, and described control signal is sent to signal output module;
Signal output module sends to pneumatic control valve with the described control signal that CPU generates;
Pneumatic control valve is regulated aperture according to the control signal that receives, and realizes the adjusting of crystallizer cooling water.
7. novel conticaster crystallizer cooling water autocontrol method as claimed in claim 6, it is characterized in that: described CPU calculates the actual heat flow value of current crystallizer according to crystallizer inflow temperature value and crystallizer return water temperature value, and actual heat flow value compared and draw the hot-fluid deviate with being stored in setting benchmark heat flow value among the described CPU, calculate revised setting cooling water flow value according to the hot-fluid deviate; CPU goes out the actual cooling water flow of current crystallizer according to the cooling water flow calculated signals of electromagnetic flowmeter subsequently, carries out the PID computing according to setting cooling water flow value and actual cooling water flow value, forms control signal.
8. as claim 6 or 7 described novel conticaster crystallizer cooling water autocontrol methods, it is characterized in that: described CPU communicates with the cooling water water allocation model by communication module, setting cooling water flow is sent among the CPU by the cooling water water allocation model, CPU receive behind the signal in conjunction with data acquisition module receive the revised setting cooling water flow value that calculates of inflow temperature value and return water temperature temperature value, then by described signal output module control described pneumatic control valve begin to move up to the actual cooling water flow of described electromagnetic flowmeter feedback with the deviation of revised setting cooling water flow value within the specific limits till.
9. novel conticaster crystallizer cooling water autocontrol method as claimed in claim 7 is characterized in that: set the cooling water flow value and obtain by formula Q=a △ T+Qs and △ T=Ts-Tp; Wherein, Q is the water distribution quantity of crystallizer cooling zone; a is the crystallizer cooling zone control parameter under specific steel grade and the section condition; T is the hot-fluid deviate under specific steel grade, specific covering slag and the specific section condition; Ts is the setting benchmark hot-fluid setting value that is stored among the CPU; Tp is the actual heat flow value that calculates current crystallizer, and Qs is the cooling water flow setting value that traditional cooling water water allocation model draws.
10. novel conticaster crystallizer cooling water autocontrol method as claimed in claim 9, it is characterized in that: the opening degree of pneumatic control valve obtains by formula F=K (KP △ Q+KI * ∫ △ Q.dt) and Q=Q-Qp in the described control signal; Wherein, F is the opening degree of pneumatic control valve, and K represents the coefficient of PID, and KP represents proportionality coefficient, and KI represents integral coefficient, and Qp is for calculating the actual cooling water discharge of current crystallizer, the deviate of Δ Q cooling water flow.
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|---|---|---|---|---|
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Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US3886991A (en) * | 1972-04-18 | 1975-06-03 | Concast Ag | Method and apparatus for controlling the withdrawal of heat in molds of continuous casting installations |
| US4066114A (en) * | 1974-08-20 | 1978-01-03 | Mannesmann Aktiengesellschaft | Supervision and control of continuous casting |
| JPS6049849A (en) * | 1983-08-26 | 1985-03-19 | Kawasaki Heavy Ind Ltd | Device for supplying mold cooling water for horizontal continuous casting |
| EP1103323A2 (en) * | 1999-11-29 | 2001-05-30 | SMS Demag AG | Process and device for continuous casting of steel |
| CN201922012U (en) * | 2010-11-17 | 2011-08-10 | 中冶南方工程技术有限公司 | Advanced secondary cooling water distribution control device for billet caster |
| CN102059333B (en) * | 2010-11-17 | 2012-11-14 | 中冶南方工程技术有限公司 | Advanced secondary cooling water control system of billet continuous casting machine |
-
2013
- 2013-02-21 CN CN201310055656.9A patent/CN103192047B/en active Active
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US3886991A (en) * | 1972-04-18 | 1975-06-03 | Concast Ag | Method and apparatus for controlling the withdrawal of heat in molds of continuous casting installations |
| US4066114A (en) * | 1974-08-20 | 1978-01-03 | Mannesmann Aktiengesellschaft | Supervision and control of continuous casting |
| JPS6049849A (en) * | 1983-08-26 | 1985-03-19 | Kawasaki Heavy Ind Ltd | Device for supplying mold cooling water for horizontal continuous casting |
| EP1103323A2 (en) * | 1999-11-29 | 2001-05-30 | SMS Demag AG | Process and device for continuous casting of steel |
| CN201922012U (en) * | 2010-11-17 | 2011-08-10 | 中冶南方工程技术有限公司 | Advanced secondary cooling water distribution control device for billet caster |
| CN102059333B (en) * | 2010-11-17 | 2012-11-14 | 中冶南方工程技术有限公司 | Advanced secondary cooling water control system of billet continuous casting machine |
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