CN109740248B - Method and device for predicting ring formation condition of rotary kiln through green ball surface quality - Google Patents
Method and device for predicting ring formation condition of rotary kiln through green ball surface quality Download PDFInfo
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Abstract
The invention discloses a method and a device for predicting the ring formation condition of a rotary kiln through green ball surface quality, which relate to the technical field of smelting, and the method comprises the following steps: obtaining the granularity index of the iron ore powder; obtaining the abrasion resistance index of the preheating ball; obtaining the surface quality index of the green pellets according to the granularity index of the iron ore powder and the wear resistance index of the preheating pellets; and predicting the ring forming condition of the rotary kiln according to the green ball surface quality index. The method avoids the influence of a complex rotary kiln thermal regulation on the ring formation of the rotary kiln, realizes the technical effects of directly and quantifiably predicting the ring formation condition of the rotary kiln through the surface quality of the green pellets and guiding the green pellet production under the condition that the rotary kiln thermal regulation is kept stable.
Description
Technical Field
The application relates to the technical field of smelting, in particular to a method and a device for predicting ring formation condition of a rotary kiln through green ball surface quality.
Background
The grate-rotary kiln process is the mainstream technological process of the prior pellet production, and although the process has a series of advantages, the process also has a prominent defect that the rotary kiln is easy to form rings, thereby influencing the stable production of the pellets. The ring forming influence factors of the rotary kiln are complex, and not only are the reasons for unreasonable thermal regulation, but also the reasons for the green ball. However, the heat regulation in the industry generally has more attention, and the quality of green pellets, particularly the surface quality of green pellets, has little attention. In fact, the quality of the green pellet surface quality directly affects the ring formation problem of the rotary kiln.
However, in the process of implementing the technical solution in the embodiment of the present application, the inventor of the present application finds that the above prior art has at least the following technical problems:
in the prior art, because the attention on the green pellet surface quality is less and the uniform standard of the green pellet surface quality is not available, the technical problem that the ring formation condition of the rotary kiln can not be predicted from the perspective of the green pellet surface quality is solved.
Content of application
The embodiment of the application provides a method and a device for predicting the ring forming condition of a rotary kiln through green pellet surface quality, and the method and the device are used for solving the technical problem that in the prior art, the green pellet surface quality is less concerned, the uniform standard of the green pellet surface quality does not exist, and the ring forming condition of the rotary kiln cannot be predicted from the green pellet surface quality. The technical effects of directly and quantifiably predicting the ring forming condition of the rotary kiln through the green ball surface quality and guiding green ball production under the condition that the thermal regulation of the rotary kiln is kept stable are achieved.
In order to solve the above problem, in a first aspect, an embodiment of the present application provides a method for predicting a ring formation condition of a rotary kiln by green ball surface quality, where the method includes: obtaining the granularity index of the iron ore powder; obtaining the abrasion resistance index of the preheating ball; obtaining the surface quality index of the green pellets according to the granularity index of the iron ore powder and the wear resistance index of the preheating pellets; and predicting the ring forming condition of the rotary kiln according to the green ball surface quality index.
Preferably, the obtaining of the iron ore powder granularity index comprises: the iron ore powder granularity index is obtained by calculating according to the following formula:
wherein D = ∑ X i ×d i ,X i Is a particle diameter of d i The mass percentage of the iron ore powder.
Preferably, the obtaining of the anti-wear index of the preheated ball comprises: putting the original dry balls into an abrasion resistance index measuring device, and rotating for 15-25 min at a certain speed to generate the rubbed dry balls; and obtaining the anti-wear index of the preheated ball according to the mass of the rubbed dry ball and the mass of the original dry ball.
Preferably, the antiwear index of the preheating ball is calculated according to the following formula:
Q D ＝10(K-0.9)，
wherein, K = (M) 1 /M 0 ) 100%, K is the dry-ball antiwear index;
M 1 the mass of the dry balls after friction;
M 0 is the original dry ball mass.
Preferably, the green ball surface quality index is obtained according to the iron ore powder granularity index and the anti-wear index of the preheating ball, and is specifically obtained according to the following formula:
Q＝0.5Q S +0.5Q D
wherein Q is S Is the granularity index of iron ore powder;
Q D is the abrasion resistance index of the preheating ball.
In a second aspect, embodiments of the present application further provide an apparatus for predicting a ring formation condition of a rotary kiln through green ball surface quality, the apparatus including:
a first obtaining unit, wherein the first obtaining unit is used for obtaining the granularity index of the iron ore powder;
a second obtaining unit for obtaining an anti-wear index of the preheating ball;
a third obtaining unit, configured to obtain a green ball surface quality index according to the iron ore powder particle size index and the anti-wear index of the preheating ball;
a first prediction unit for predicting the ring formation condition of the rotary kiln according to the green ball surface quality index.
Preferably, the first obtaining unit includes: the iron ore powder granularity index is obtained by calculation according to the following formula:
wherein D = ∑ X i ×d i ,X i Is a particle diameter of d i The mass percentage of the iron ore powder.
Preferably, the second obtaining unit includes:
the first generation unit is used for putting the original dry balls into the abrasion resistance index measurement device, rotating for 15-25 min at a certain speed and generating the rubbed dry balls;
a fourth obtaining unit for obtaining an anti-wear index of the preheated ball according to the mass of the rubbed dry ball and the mass of the original dry ball.
Preferably, the antiwear index of the preheating ball is calculated according to the following formula:
Q D ＝10(K-0.9)，
wherein, K = (M) 1 /M 0 ) 100%, K is the dry-ball antiwear index;
M 1 the mass of the dry balls after friction;
M 0 is the original dry ball mass.
Preferably, the third obtaining unit includes: the green ball surface quality index is obtained according to the following formula:
Q＝0.5Q S +0.5Q D
wherein Q is S Is the granularity index of iron ore powder;
Q D is the abrasion resistance index of the preheating ball.
In a third aspect, an embodiment of the present application further provides an apparatus for predicting the ring formation condition of a rotary kiln through green ball surface quality, including a memory, a processor, and a computer program stored in the memory and executable on the processor, where the processor implements the following steps when executing the program:
obtaining the granularity index of the iron ore powder;
obtaining the abrasion resistance index of the preheating ball;
obtaining the surface quality index of the green pellets according to the granularity index of the iron ore powder and the wear resistance index of the preheating pellets;
and predicting the ring forming condition of the rotary kiln according to the green ball surface quality index.
In a fourth aspect, an embodiment of the present application provides a computer-readable storage medium, on which a computer program is stored, and the program, when executed by a processor, implements the following steps:
obtaining the granularity index of the iron ore powder;
obtaining the abrasion resistance index of the preheating ball;
obtaining the surface quality index of the green pellets according to the granularity index of the iron ore powder and the wear resistance index of the preheating pellets;
and predicting the ring forming condition of the rotary kiln according to the green ball surface quality index.
One or more technical solutions in the embodiments of the present application at least have one or more of the following technical effects:
the embodiment of the application provides a method and a device for predicting the ring formation condition of a rotary kiln through green ball surface quality, wherein the method comprises the following steps: obtaining the granularity index of the iron ore powder; obtaining the abrasion resistance index of the preheating ball; obtaining the surface quality index of the green pellets according to the granularity index of the iron ore powder and the wear resistance index of the preheating pellets; and predicting the ring forming condition of the rotary kiln according to the green ball surface quality index. The method is used for solving the technical problem that in the prior art, the ring formation condition of the rotary kiln cannot be predicted from the perspective of the green ball surface quality because the green ball surface quality is less concerned and the uniform standard of the green ball surface quality does not exist. The technical effects of directly and quantificationally predicting the ring forming condition of the rotary kiln through the green ball surface quality and guiding green ball production under the condition that the thermal regulation of the rotary kiln is kept stable are achieved.
The foregoing description is only an overview of the technical solutions of the present application, and in order to make the technical solutions of the present application more clearly understood, the present application may be implemented in accordance with the content of the description, and in order to make the foregoing and other objects, features, and advantages of the present application more clearly understood, the following detailed description of the present application is provided.
Drawings
FIG. 1 is a schematic flow chart of a method for predicting the ring formation condition of a rotary kiln by the surface quality of green pellets in an embodiment of the invention;
FIG. 2 is a schematic structural diagram of an apparatus for predicting the ring formation of a rotary kiln by the surface quality of green pellets in an embodiment of the present invention;
FIG. 3 is a schematic structural diagram of another device for predicting the ring formation condition of the rotary kiln through green ball surface quality in the embodiment of the invention.
Description of reference numerals: a first obtaining unit 11, a second obtaining unit 12, a third obtaining unit 13, a first prediction unit 14, a bus 300, a receiver 301, a processor 302, a transmitter 303, a memory 304, a bus interface 306.
Detailed Description
The embodiment of the application provides a method and a device for predicting the ring formation condition of a rotary kiln through green pellet surface quality, which are used for solving the technical problem that in the prior art, the ring formation condition of the rotary kiln cannot be predicted from the green pellet surface quality due to the fact that the green pellet surface quality is less concerned and no unified standard of the green pellet surface quality exists.
In order to solve the technical problems, the technical scheme provided by the application has the following general idea: obtaining the granularity index of the iron ore powder; obtaining the abrasion resistance index of the preheating ball; obtaining the surface quality index of the green pellets according to the granularity index of the iron ore powder and the abrasion resistance index of the preheating pellets; and predicting the ring forming condition of the rotary kiln according to the green ball surface quality index. The technical effects of directly and quantificationally predicting the ring forming condition of the rotary kiln through the green ball surface quality and guiding green ball production under the condition that the thermal regulation of the rotary kiln is kept stable are achieved.
The technical solutions of the present application are described in detail below with reference to the accompanying drawings and specific embodiments, and it should be understood that the specific features in the embodiments and examples are described in detail in the technical solutions of the present application, but not limited to the technical solutions of the present application, and the technical features in the embodiments and examples may be combined with each other without conflict.
Example one
Fig. 1 is a schematic flow chart of a method for predicting the ring formation condition of a rotary kiln by green ball surface quality in an embodiment of the invention, as shown in fig. 1, the method comprises the following steps:
step 110: obtaining the granularity index of the iron ore powder;
step 120: obtaining the abrasion resistance index of the preheating ball;
step 130: obtaining the surface quality index of the green pellets according to the granularity index of the iron ore powder and the abrasion resistance index of the preheating pellets;
step 140: and predicting the ring forming condition of the rotary kiln according to the green ball surface quality index.
Specifically, for the grate-rotary kiln pelletizing process, the quality of the green pellet surface directly affects the ring formation problem of the rotary kiln under the condition that the thermal regulation of the rotary kiln is kept stable. If the green pellet surface quality is good and smooth, less powder is generated in the processes of transferring, distributing and rotating in the rotary kiln, so that the rotary kiln is not easy to form rings, and pellet production can be smoothly carried out; if the raw ball surface quality is not well controlled and the surface is rough, the generated powder can be gathered in the rotary kiln to form a low-melting-point substance, so that a large amount of ring formation substances are formed, and the normal production of the pellets is influenced. The numerical range of the green ball surface quality index is between 0 and 1, the larger the numerical range is, the better the green ball surface quality is, the smaller the ring formation degree of the rotary kiln is, the smaller the numerical range of the green ball surface quality index is, the worse the green ball surface quality is, the more serious the ring formation degree of the rotary kiln is. The green ball surface quality comprises two indexes, namely a static index and a dynamic index, wherein the static index is obtained by the granularity index of the iron ore powder, and the dynamic index adopts the wear resistance index of the preheating ball, so the specific steps of calculating the green ball surface quality index are as follows: firstly, obtaining the granularity index of iron ore powder, wherein the larger the average particle size of the iron ore powder is, the worse the surface quality of green pellets is; then obtaining the wear-resistant index of the preheating ball, wherein the wear-resistant index of the preheating ball is the wear-resistant index of the preheating ball obtained by preheating the green ball at a certain temperature through a certain measuring method, and is used for representing the condition that the green ball enters a rotary kiln after being dried and preheated by a chain grate, and powder is generated due to mutual friction and collision, and the higher the wear-resistant index of the preheating ball is, the better the surface quality of the green ball is; and then, according to the granularity index of the iron ore powder and the wear resistance index of the preheated balls, obtaining the surface quality index of the green balls, wherein the surface quality index of the green balls is used for representing the quality of the surface quality of the green balls, and further under the condition that the thermal regulation of the rotary kiln is kept stable, the ring forming condition of the rotary kiln is predicted through the calculation of the surface quality index of the green balls so as to take measures to improve the quality of the green balls, effectively reduce the ring forming degree of the rotary kiln, ensure the smooth proceeding of the pellet production through the reverse thrust of the ring forming state of the rotary kiln, and realize the simple, direct and quantifiable prediction of the ring forming condition of the rotary kiln from the angle of the surface quality of the green balls for the first time.
In step 110, the iron ore powder particle size index can be calculated according to the following formula:
wherein D = ∑ X i ×d i ,X i Is a particle diameter of d i The larger the average particle size of the iron ore powder is, the worse the surface quality of the green pellets is, and the smaller the average particle size of the iron ore powder is, the better the surface quality of the green pellets is.
In step 120, obtaining an anti-wear index of the preheated ball comprises: putting the original dry balls into an anti-abrasion index measuring device, wherein the original dry balls are green balls completely dried at 100 ℃, and the mass of the original dry balls is M 0 Then rotating for 15-25 min at a certain speed, the original dry balls generate powder due to mutual friction in the abrasion resistance index measuring device, so as to obtain the rubbed dry balls, and measuring the mass M of the rubbed dry balls 1 (ii) a Calculating the mass M of the dry ball after friction 1 And the mass M of the original dry balls 0 To obtain the antiwear index of the preheating ball, and specifically, the calculation formula of the antiwear index of the preheating ball is as follows:
Q D ＝10(K-0.9)，
wherein, K = (M) 1 /M 0 ) 100%, K is the dry-ball antiwear index;
M 1 the mass of the dry balls after the friction is obtained;
M 0 the original dry pellet mass.
In step 130, the raw ball surface quality index is obtained according to the iron ore powder granularity index and the anti-wear index of the preheating ball, and the raw ball surface quality index is calculated according to the formula:
Q＝0.5Q S +0.5Q D
wherein Q is S Is the granularity index of iron ore powder; q D Is the abrasion resistance index of the preheating ball.
Example two
Based on the same inventive concept as the method for predicting the ring formation condition of the rotary kiln by the green ball surface quality in the previous embodiment, the present invention also provides a device for predicting the ring formation condition of the rotary kiln by the green ball surface quality, as shown in fig. 2, the device comprises:
a first obtaining unit 11, wherein the first obtaining unit 11 is used for obtaining the iron ore powder granularity index;
a second obtaining unit 12, the second obtaining unit 12 being configured to obtain an anti-wear index of the preheated ball;
a third obtaining unit 13, where the third obtaining unit 13 is configured to obtain a green pellet surface quality index according to the iron ore powder particle size index and the anti-wear index of the preheating pellet;
and the first prediction unit 14 is used for predicting the ring forming condition of the rotary kiln according to the green ball surface quality index by the first prediction unit 14.
Preferably, the first obtaining unit 11 includes: the iron ore powder granularity index is obtained by calculating according to the following formula:
wherein D = ∑ X i ×d i ,X i Is a particle diameter of d i The mass percentage of the iron ore powder.
Preferably, the second obtaining unit 12 includes:
the first generation unit is used for putting the original dry balls into the abrasion resistance index measurement device, rotating for 15-25 min at a certain speed and generating the rubbed dry balls;
a fourth obtaining unit for obtaining an anti-wear index of the preheated ball according to the mass of the rubbed dry ball and the mass of the original dry ball.
Preferably, the antiwear index of the preheating ball is calculated according to the following formula:
Q D ＝10(K-0.9)，
wherein, K = (M) 1 /M 0 ) 100%, K is the dry-ball antiwear index;
M 1 the mass of the dry balls after friction;
M 0 is the original dry ball mass.
Preferably, the third obtaining unit 13 includes: the green ball surface quality index is obtained according to the following formula:
Q＝0.5Q S +0.5Q D
wherein Q is S Is the granularity index of iron ore powder;
Q D is the abrasion resistance index of the preheating ball.
Various modifications and specific examples of the method for predicting the ring formation condition of the rotary kiln by the green pellet surface quality in the first embodiment of fig. 1 are also applicable to the device for predicting the ring formation condition of the rotary kiln by the green pellet surface quality in the first embodiment of the present invention, and through the foregoing detailed description of the method for predicting the ring formation condition of the rotary kiln by the green pellet surface quality, the implementation method of the device for predicting the ring formation condition of the rotary kiln by the green pellet surface quality in the first embodiment of the present invention can be clearly known to those skilled in the art, so for the sake of brevity of description, detailed description is omitted here.
EXAMPLE III
Based on the same inventive concept as the method for predicting the ring formation condition of the rotary kiln by the green ball surface quality in the previous embodiment, the invention also provides a device for predicting the ring formation condition of the rotary kiln by the green ball surface quality, wherein a computer program is stored on the device, and when the program is executed by a processor, the program realizes the steps of any one of the methods for predicting the ring formation condition of the rotary kiln by the green ball surface quality.
Where in fig. 3 a bus architecture (represented by bus 300), bus 300 may include any number of interconnected buses and bridges, bus 300 linking together various circuits including one or more processors, represented by processor 302, and memory, represented by memory 304. The bus 300 may also link together various other circuits such as peripherals, voltage regulators, power management circuits, and the like, which are well known in the art, and therefore, will not be described any further herein. A bus interface 306 provides an interface between the bus 300 and the receiver 301 and transmitter 303. The receiver 301 and the transmitter 303 may be the same element, i.e., a transceiver, providing a means for communicating with various other apparatus over a transmission medium.
The processor 302 is responsible for managing the bus 300 and general processing, and the memory 304 may be used for storing data used by the processor 302 in performing operations.
Example four
Based on the same inventive concept as one of the methods for predicting the ring formation condition of a rotary kiln by green ball surface quality in the foregoing embodiments, the present invention also provides a computer-readable storage medium having stored thereon a computer program which, when executed by a processor, implements the steps of:
obtaining the granularity index of the iron ore powder; obtaining the abrasion resistance index of the preheating ball; obtaining the surface quality index of the green pellets according to the granularity index of the iron ore powder and the wear resistance index of the preheating pellets; and predicting the ring forming condition of the rotary kiln according to the green ball surface quality index.
In a specific implementation, when the program is executed by a processor, any method step in the first embodiment may be further implemented.
One or more technical solutions in the embodiments of the present application have at least one or more of the following technical effects:
the embodiment of the application provides a method and a device for predicting the ring formation condition of a rotary kiln through green ball surface quality, wherein the method comprises the following steps: obtaining the granularity index of the iron ore powder; obtaining the abrasion resistance index of the preheating ball; obtaining the surface quality index of the green pellets according to the granularity index of the iron ore powder and the wear resistance index of the preheating pellets; and predicting the ring forming condition of the rotary kiln according to the green ball surface quality index. The method is used for solving the technical problem that in the prior art, the ring formation condition of the rotary kiln cannot be predicted from the perspective of the green ball surface quality because the green ball surface quality is less concerned and the uniform standard of the green ball surface quality does not exist. The technical effects of directly and quantificationally predicting the ring forming condition of the rotary kiln through the green ball surface quality and guiding green ball production under the condition that the thermal regulation of the rotary kiln is kept stable are achieved.
As will be appreciated by one skilled in the art, embodiments of the present invention may be provided as a method, system, or computer program product. Accordingly, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present invention has been described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
It will be apparent to those skilled in the art that various changes and modifications may be made in the present invention without departing from the spirit and scope of the invention. Thus, if such modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, it is intended that the present invention also encompass such modifications and variations.
Claims (5)
1. A method for predicting the ring formation condition of a rotary kiln by the surface quality of green pellets, which is characterized by comprising the following steps:
obtaining the granularity index of the iron ore powder;
obtaining the abrasion resistance index of the preheating ball;
obtaining the surface quality index of the green pellets according to the granularity index of the iron ore powder and the abrasion resistance index of the preheating pellets;
predicting the ring forming condition of the rotary kiln according to the green ball surface quality index;
wherein the obtaining of the iron ore powder granularity index comprises the following steps:
the iron ore powder granularity index is obtained by calculating according to the following formula:
wherein D = ∑ X i ×d i ,X i Is a particle diameter of d i The mass percentage of the iron ore powder;
the method for obtaining the abrasion resistance index of the preheated ball comprises the following steps:
putting the original dry balls into an abrasion resistance index measuring device, and rotating for 15-25 min at a certain speed to generate the rubbed dry balls;
obtaining the abrasion resistance index of the preheating ball according to the quality of the rubbed dry ball and the quality of the original dry ball;
and obtaining the surface quality index of the green pellets according to the granularity index of the iron ore powder and the abrasion resistance index of the preheating pellets, and specifically according to the following formula:
Q＝0.5Q S +0.5Q D
wherein Q is S The granularity index of the iron ore powder;
Q D is the abrasion resistance index of the preheating ball.
2. The method of claim 1, wherein the antiwear index of the preheated ball is calculated according to the following formula:
Q D ＝10(K-0.9)，
wherein, K = (M) 1 /M 0 ) 100%, K is the dry ball antiwear index;
M 1 the mass of the dry balls after friction;
M 0 is the original dry ball mass.
3. An apparatus for predicting the ring formation condition of a rotary kiln by the surface quality of green pellets, the apparatus comprising:
the first obtaining unit is used for obtaining the granularity index of the iron ore powder;
a second obtaining unit for obtaining an anti-wear index of the preheating ball;
a third obtaining unit, configured to obtain a green ball surface quality index according to the iron ore powder particle size index and the anti-wear index of the preheating ball;
the first prediction unit is used for predicting the ring forming condition of the rotary kiln according to the green ball surface quality index;
wherein the first obtaining unit is configured to: the iron ore powder granularity index is obtained by calculating according to the following formula:
wherein D = ∑ X i ×d i ,X i Is a particle diameter of d i The mass percentage of the iron ore powder;
the second obtaining unit includes:
the first generation unit is used for putting the original dry balls into the abrasion resistance index measurement device, rotating for 15-25 min at a certain speed and generating the rubbed dry balls;
a fourth obtaining unit for obtaining an anti-wear index of the preheated ball according to the mass of the rubbed dry ball and the mass of the original dry ball;
the third obtaining unit is configured to: the green ball surface quality index is obtained according to the following formula:
Q＝0.5Q S +0.5Q D
wherein Q S Is the granularity index of iron ore powder;
Q D is the abrasion resistance index of the preheating ball.
4. An apparatus for predicting the ring formation of a rotary kiln by green ball surface quality, comprising a memory, a processor and a computer program stored in the memory and executable on the processor, wherein the processor when executing the program performs the steps of:
obtaining the granularity index of the iron ore powder;
obtaining the abrasion resistance index of the preheating ball;
obtaining the surface quality index of the green pellets according to the granularity index of the iron ore powder and the wear resistance index of the preheating pellets;
predicting the ring forming condition of the rotary kiln according to the green ball surface quality index;
wherein the obtaining of the iron ore powder granularity index comprises the following steps:
the iron ore powder granularity index is obtained by calculating according to the following formula:
wherein D = ∑ X i ×d i ,X i Is a particle diameter of d i The mass percentage of the iron ore powder;
the method for obtaining the anti-wear index of the preheated ball comprises the following steps:
putting the original dry balls into an abrasion resistance index measuring device, and rotating for 15-25 min at a certain speed to generate the rubbed dry balls;
obtaining the abrasion resistance index of the preheating ball according to the quality of the rubbed dry ball and the quality of the original dry ball;
the green ball surface quality index is obtained according to the iron ore powder granularity index and the abrasion resistance index of the preheating ball, and is specifically obtained according to the following formula:
Q＝0.5Q S +0.5Q D
wherein Q is S Is the granularity index of iron ore powder;
Q D the abrasion resistance index of the preheated ball.
5. A computer-readable storage medium on which a computer program is stored, the program, when executed by a processor, performing the steps of:
obtaining the granularity index of the iron ore powder;
obtaining the abrasion resistance index of the preheating ball;
obtaining the surface quality index of the green pellets according to the granularity index of the iron ore powder and the wear resistance index of the preheating pellets;
predicting the ring forming condition of the rotary kiln according to the green ball surface quality index;
wherein the obtaining of the iron ore powder granularity index comprises the following steps:
the iron ore powder granularity index is obtained by calculating according to the following formula:
wherein D = ∑ X i ×d i ,X i Is a particle diameter of d i The mass percentage of the iron ore powder;
the method for obtaining the anti-wear index of the preheated ball comprises the following steps:
putting the original dry balls into an abrasion resistance index measuring device, and rotating for 15-25 min at a certain speed to generate the rubbed dry balls;
obtaining the abrasion resistance index of the preheating ball according to the quality of the rubbed dry ball and the quality of the original dry ball;
and obtaining the surface quality index of the green pellets according to the granularity index of the iron ore powder and the abrasion resistance index of the preheating pellets, and specifically according to the following formula:
Q＝0.5Q S +0.5Q D
wherein Q is S The granularity index of the iron ore powder;
Q D is the abrasion resistance index of the preheating ball.
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| CN107604155A (en) * | 2017-08-10 | 2018-01-19 | 包头钢铁（集团）有限责任公司 | A kind of process for improving grate kiln preheated ball |
| CN109104709A (en) * | 2018-06-30 | 2018-12-28 | 湖北海纳天鹰科技发展有限公司 | A kind of air quality dissemination method and device based on NBIoT and MQTT agreement |
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| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105067478A (en) * | 2015-08-11 | 2015-11-18 | 首钢总公司 | Method and device for detecting powder rate of dry pellets |
| CN106566921A (en) * | 2016-11-03 | 2017-04-19 | 内蒙古包钢钢联股份有限公司 | Technological method for lowering grating machine-rotary kiln ringing degree |
| CN107604155A (en) * | 2017-08-10 | 2018-01-19 | 包头钢铁（集团）有限责任公司 | A kind of process for improving grate kiln preheated ball |
| CN109104709A (en) * | 2018-06-30 | 2018-12-28 | 湖北海纳天鹰科技发展有限公司 | A kind of air quality dissemination method and device based on NBIoT and MQTT agreement |
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