CN105854998B - A method of it developing abrading-ball intelligent level and matches controller - Google Patents
A method of it developing abrading-ball intelligent level and matches controller Download PDFInfo
- Publication number
- CN105854998B CN105854998B CN201610202234.3A CN201610202234A CN105854998B CN 105854998 B CN105854998 B CN 105854998B CN 201610202234 A CN201610202234 A CN 201610202234A CN 105854998 B CN105854998 B CN 105854998B
- Authority
- CN
- China
- Prior art keywords
- ball
- abrading
- tip
- ball mill
- mill
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Expired - Fee Related
Links
Classifications
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B02—CRUSHING, PULVERISING, OR DISINTEGRATING; PREPARATORY TREATMENT OF GRAIN FOR MILLING
- B02C—CRUSHING, PULVERISING, OR DISINTEGRATING IN GENERAL; MILLING GRAIN
- B02C17/00—Disintegrating by tumbling mills, i.e. mills having a container charged with the material to be disintegrated with or without special disintegrating members such as pebbles or balls
- B02C17/10—Disintegrating by tumbling mills, i.e. mills having a container charged with the material to be disintegrated with or without special disintegrating members such as pebbles or balls with one or a few disintegrating members arranged in the container
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B02—CRUSHING, PULVERISING, OR DISINTEGRATING; PREPARATORY TREATMENT OF GRAIN FOR MILLING
- B02C—CRUSHING, PULVERISING, OR DISINTEGRATING IN GENERAL; MILLING GRAIN
- B02C17/00—Disintegrating by tumbling mills, i.e. mills having a container charged with the material to be disintegrated with or without special disintegrating members such as pebbles or balls
- B02C17/18—Details
- B02C17/20—Disintegrating members
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B02—CRUSHING, PULVERISING, OR DISINTEGRATING; PREPARATORY TREATMENT OF GRAIN FOR MILLING
- B02C—CRUSHING, PULVERISING, OR DISINTEGRATING IN GENERAL; MILLING GRAIN
- B02C25/00—Control arrangements specially adapted for crushing or disintegrating
Landscapes
- Engineering & Computer Science (AREA)
- Food Science & Technology (AREA)
- Crushing And Grinding (AREA)
Abstract
The invention discloses a kind of methods that development abrading-ball intelligent level matches controller, it includes reasonably selecting ball mill type and specification;It determines dynamic tip-in parameter engineering model and program composition is carried out to it, and input storage model program, arithmetic and control unit, known conditions and parameter;Design is main and the control circuit and element of auxiliary, and forms developed abrading-ball intelligent level with control instruments and meters external and internal compositions;Field operation performance verification and perfect is carried out with controller to the abrading-ball intelligent level developed.The present invention passes through comprehensive factors, is theoretical basis by the mathematical model that long-term R & D creates, and is developed by program composition and electrical and metering device setting.It will enable the operator of each table grinder reach science with controller by using abrading-ball intelligent level, and abrading-ball is made to reach best application in the ball mill to the greatest extent, to realize energy-saving to the greatest extent and save the cost indices.
Description
Technical field
The present invention relates to abrading-ball fields, and in particular to is a kind of method of the development abrading-ball intelligent level with controller.
Background technique
Chinese wear-resistant material industrial market scale rapid growth, whole manufacture level are continuously improved.As national economy is steady
Step development, the fields such as China's thermal power generation, metallurgical mine, building material cement also keep steady growth to the demand of wear-resistant ball section
Situation, only domestic wear-resistant ball section reaches 208.74 ten thousand tons in demand 2015, and following table lists 2010-2015, such is produced
The growth pattern of product domestic demand amount:
The country 2010-2015 abrasion-resistant cast abrading-ball section market demand (ten thousand tons)
According to incompletely statistics, in recent years, the export volume of all kinds of wear-resistant ball sections in China year is 1,000,000 ton -150 ten thousand tons.It can
See, though the market demand total amount is larger.
Ball mills quantized level can be divided into four-stage by its development level with the scientific research methods of technology:
1. the trial and error stage;
2. orthogonal experiment method (experimental period, higher cost, and large sample can not be handled);
3. the exact test method of visual information processing;
4. using Intelligentized Control Model.
Grope the section of third step and the 4th step at abroad, having begun in recent years in abrading-ball manufacture and use field
It grinds method and is formulated with related art method and tool, replenishment of process, manufacture, use and monitor and embody technique " marrow " content
Exquisite device, however it is very different, make slow progress.
At home, it remains in now in the second stage for carrying out scientific research and production application using orthogonal experiment method,
Cause a large amount of dynamic change factors effectively cannot control and predict, product manufacturing and product use long-standing waste
Greatly, low efficiency, problem at high cost cannot solve always;Cannot efficiently use high speed development information technology, automation with
Intellectualized technology accelerates the technological progress in the field, and the pressure for playing scientific and technological effect of taking the lead in race is increasing.And for a long time just
Because domestic abrading-ball manufacturing technology, process equipment fall behind, production technology many decades are constant, think little of refining, and cause steel liquid pure
Cleanliness is poor, and modification effect is unstable, and process of setting has a large amount of segregations, variation and unstable tissue, causes interior tissue will not
Close and surface quality is poor;And mechanical property, the service performance on abrading-ball center portion to surface are inconsistent, directly affect the use of abrading-ball
Service life.Due to by multifactor restriction and interactive effects such as grinding ball material, ball milling equipment, material characteristic, working environments, state so far
Inside and outside research abrading-ball problem is all stuck in the qualitative research stage, energy-saving and reduction production cost to using abrading-ball to generate
Effect is not significant, unstable, in addition excessively relying on experience, causes " awkward situation " that can not be promoted and applied.
In thermal power generation, metallurgical mine, the big industrial circle of building material cement three, numerous ball mills need to be used various for crushing
Mineral aggregate.For a long time, people are to extend the service life of abrading-ball, respectively abrading-ball manufacture and ball mill using abrading-ball the two
The improvement for the experience that the improvement of manufacture experience is carried out in field each independently and abrading-ball uses, though effective, effect is not
Obviously, so that causing great energy consumption, environmental pollution and higher cost greatly lack the competitiveness of product.
The purpose that most economical and performance is able to satisfy the abrading-ball of requirement is produced in order to be supplied to user, inventor is long-pending right for many years
The design and manufacturing experience of abrading-ball have been proposed to State Patent Office entitled " a kind of for ball-grinding machine abrading-ball amount before
Change the method for visualizing of gradation technology ", application No. is the patent applications of " 201610161104X ", a kind of " high abrasion cast grinding ball
The method for visualizing of ingredient design and heat treating regime ", application No. is the patent applications of " 2016101611533 " and a kind of " base
In the cast grinding ball gradation Mathematical Modeling Methods of Visualization Platform ", application No. is the bases of the patent application of " 2016101794163 "
To using abrading-ball, person proposes that a kind of method that development abrading-ball intelligent level matches controller makes the operator of each table grinder on plinth
Science can be reached with controller by using abrading-ball intelligent level, abrading-ball is made to reach best in the ball mill to the greatest extent
Using so that energy-saving to the greatest extent and save the cost indices are realized, thus to solve the above problems.
Summary of the invention
The object of the present invention is to provide a kind of methods that development abrading-ball intelligent level matches controller, by integrating factors,
It is theoretical basis by the mathematical model that long-term R & D creates, is ground by program composition and electrical and metering device setting
It makes.It will enable the operator of each table grinder reach science with controller by using abrading-ball intelligent level,
Abrading-ball is set to reach best application in the ball mill to the greatest extent, to realize energy-saving and save the cost to the greatest extent
Indices.
In order to achieve the above objectives, the technical scheme is that
A kind of method developed abrading-ball intelligent level and match controller of the present invention, includes the following steps:
(1) ball mill type, root are reasonably selected according to the material property of abrasive material, the working environment of ball mill and job requirement
Ball mill specification is selected according to the production capacity demand of ball mill user;
(2) determine the most preferably different sphere diameter abrading-ball grading distribution schemes of ball mill, most economical material abrading-ball, the best useful load of abrading-ball and
Tip-in regimen cycle;
(3) dynamic tip-in parameter engineering model is determined;The dynamic tip-in parameter engineering model is Ball wear matrix norm
Type or neural network prediction abrading-ball tip-in scale model;
The foundation of the Ball wear matrix model includes the following steps:
A1: determining that Ball wear steady-state characteristic matrix is [p (t)],
A2: ideal dress ball gradation vector { x is determined0And actual dress ball gradation vector { x }, the volume of 1 ball-grinding machine
Determining ball load is W, and Ball wear steady-state characteristic matrix is [p (t)], ideal to fill ball gradation vector { x0And actual dress ball
Gradation vector { x } is respectively:
{x0}={ x10,x20,…,xk0,…,xn0}T, S2
{ x }={ x1,x2,…,xk,…,xn}T;S3
A3: after t days continuous coal-grindings, resident amount and ideal difference with ball amount of the kth rank abrading-ball in roller are Δ
Wk:
A4: the total amount that should be added is Δ W:
A5: the unreasonable tip-in amount of j-th stage is Δ WBjCriterion, i.e., tip-in principle condition characterization formula it is as follows:
A1. whenWhen, Δ WBj=0;
A2. whenWhen, it takes
A3. whenWhen, take Δ WBj=Δ Wj;
A6: abrading-ball gradation becomes after tip-in:
xBj=xj-ΔWj/W+ΔWBj/ W, j=1,2 ..., n; S6
A7: utilizing formula S 1-S6, and the parameter of preceding 7 tip-in amounts is calculated using MATLAB Programming with Pascal Language;
The foundation of the neural network prediction abrading-ball tip-in scale model includes the following steps:
B1: determining that neural network prediction abrading-ball tip-in scale model is [p (t)],
[p (t)]={ y } × { x }-1
W1=
0.68284337499014
0.60406698796090
W2=
-0.20274877882385 0.20451645869560
-0.30974740916445 0.32924537190527
-0.18059072627341 0.10141961262160
B1=
-1.31928900327032
-1.29637427714563
B2=
0.99988918733054
0.99909388384959
1.00065821523216;
B2: the unreasonable tip-in amount of j-th stage is Δ WBjConditional criterion:
WhenWhen, Δ WBj=0;
B3: it is opened up using the resulting neural network prediction abrading-ball tip-in scale model combination artificial neural network of the step B1
It flutters structure and recognition training is carried out to the grading distribution scheme of best different sphere diameter abrading-balls, establish optimal quantization dynamic tip-in model scheme.
(4) program composition is carried out to used dynamic tip-in parameter engineering model, and inputs storage model program and fortune
Calculate controller;
(5) known conditions and parameter are inputted in the program worked out to the step (4);
(6) main and auxiliary control circuit and element are designed, and forms developed abrading-ball intelligent level and matches controller instrument
The art designing of table external and internal compositions and appearance processing;
(7) the abrading-ball intelligent level of the model machine classifying type to the abrading-ball intelligent level developed with controller and different size series
Field operation performance verification and perfect is carried out with controller.
Preferably, the step (1) is according to the material property of abrasive material, the working environment of ball mill, when abrasive material is black gold
Under conditions of when category mine or nonferrous metals ore, ball mill selects metal ore mill;When abrasive material is nonmetallic soft mine or nonmetallic
Under conditions of when hard mine, ball mill differential grinding machine;According to the job requirement of ball mill, when ball mill is requiring dry grinding or wet
Under the conditions of mill, ball mill selects coal pulverizer.
Preferably, the step (1) is described selects ball mill specification, tool according to the production capacity demand of ball mill user
Body ball mill it is different according to the requirement of productivity, production yields, scale and productivity to ball milling product, be divided into small-sized ball milling
Machine, medium-sized ball mill, large-size ball mill and Extra large ball mill specially reasonably select ball mill specification according to user demand.
Preferably, best difference sphere diameter abrading-ball grading distribution scheme described in step (2) uses four kinds of different sphere diameter abrading-balls, and not
It is specially 60: Φ 50: Φ 40: Φ 30=11.65:50.11:28.17:10.07 of Φ, most economical material with sphere diameter abrading-ball grading distribution scheme
Matter abrading-ball is the Cr grinding balls of chromium content 10.86%, and the best useful load of abrading-ball is 36.23t, and tip-in regimen cycle is 7 days.
Preferably, known conditions described in step (5) and parameter are the most preferably different sphere diameter abrading-ball grading distribution schemes of ball mill, mill
The best useful load of ball and tip-in regimen cycle.
The beneficial effects of the present invention are,
(1) in ball mill operational process, ball mill whether can set in single hop or multistage workspace the present invention
Determine abrasive material and medium is formed under conditions of preferable pack completeness, the abrading-ball type being packed by dress tip-in model adjustment is different with change
The ratio of sphere diameter abrading-ball additional amount can make high-quality abrading-ball adapt to different operating environment, give full play to its excellent service performance,
Embody effect that is apparent energy-saving and reducing ton production cost;And efficiently use high speed development information technology,
Intellectually and automatically technology proposes one kind to dynamic tip-in parameter engineering model and to used dynamic tip-in parameter engineering
Model progress program composition combines the technological progress for accelerating the field;Controller of the present invention with synthesis it is many because
Element, the mathematical model createed by long-term R & D are theoretical basis, by program composition and electrical and metering device are set
It sets and develops.It will enable the operator of each table grinder reach science with controller by using abrading-ball intelligent level
, so that abrading-ball is reached best application in the ball mill to the greatest extent, to realize energy-saving to the greatest extent and save
The indices of cost;
(2) in grinding machine operational process, the abrading-ball for participating in the various sphere diameters of gradation occurs in various degree the present invention
Dynamic wear will can just maintain optimal abrading-ball gradation in certain reasonable period by correct tip-in, and ability will be in the period
The effect amplitude control of fluctuation is in minimum range;Accordingly, propose that taking Ball wear matrix model as small sample (takes pole
The actual wear amount that few experimental data calculates the total abrasion loss of abrading-ball in period instantly and every kind of sphere diameter abrading-ball generates), discovery calculates
To after the 6th tip-in, dynamic abrading-ball gradation " collapse ", but preceding 5 gradation characteristics are preferable, obvious Ball wear matrix model forecast
Precision meets small sample requirement;It is proposed establishes neural network prediction abrading-ball tip-in scale model as large sample, and it is with nothing
The dress tip-in effect of time integral error as a result, it can carry out " test " directly on industrial equipment, model data is direct
From the situation of practical systems equipment, model is reliable, is as a result used directly for the industrial equipment that test uses.It does not need
It is done from lab scale.And intelligent level is combined to match controller, it can effectively realize that the operator of each table grinder can be by using
Abrading-ball intelligent level reaches science with controller, and abrading-ball is made to reach best application in the ball mill to the greatest extent, reduces mill
Ball cost depletions improve abrading-ball service life, simplify operating procedure, improve production efficiency;
(3) present invention is generally directed to (account for industrial circle for thermal power generation, mine and the big industrial circle of cement three and use mill
90% or more of ball ball mill quantity), exploitation is directed to small grinder, medium-sized ball mill and large-size ball mill and super-huge ball milling
The abrading-ball gradation intelligent controller of machine is, it can be achieved that working environment to the material properties of different abrasive materials, ball mill, according to ball mill
The production capacity demand of user selects ball mill specification, come design this three categories each tool its adapt to operating condition itself
, with own characteristic, and operation is carried out by programming and realizes that the abrading-ball intelligent level of control matches controller, give full play to mill
The service performance of ball, so that energy-saving and reduction production cost, has the characteristics that have a wide range of application.
Specific embodiment
The present invention is described in further details below with reference to specific implementation example.
In thermal power generation, metallurgical mine, the big industrial circle of building material cement three, numerous ball mills need to be used various for crushing
Mineral aggregate.For a long time, people are to extend the service life of abrading-ball, respectively abrading-ball manufacture and ball mill using abrading-ball the two
The improvement for the experience that the improvement of manufacture experience is carried out in field each independently and abrading-ball uses, though effective, effect is not
Obviously, so that causing great energy consumption, environmental pollution and higher cost greatly lack the competitiveness of product.
Under the premise of aforementioned point of three categories configuration abrading-ball intelligent level matches controller, the problem of we are also contemplated that be each major class due to
Requirement of the user for production rate, production yields, scale and productivity is different, is generally divided into small grinder, medium-sized ball
Grinding machine, large-size ball mill and four kinds of Extra large ball mill, the sample diversified in specifications of ball mill mainly cause used abrading-ball sphere diameter big
The abrading-ball specification and ratio and additional amount of various diameters used in small, drum's speed of rotation, gradation are different, this is just determined
Our abrading-ball intelligent levels used in the ball mill of design certain type series are with will consider the type series rule on controller
The different of function and working characteristics possessed by lattice require.
The purpose that most economical and performance is able to satisfy the abrading-ball of requirement is produced in order to be supplied to user, inventor is
Enable the operator of each table grinder to reach science with controller by using abrading-ball intelligent level, makes to the greatest extent
Abrading-ball reaches best application in the ball mill, thus realize energy-saving to the greatest extent and save the cost indices,
To solve the above problems.
Embodiment
A method of it developing abrading-ball intelligent level and matches controller, include the following steps:
(1) ball mill type, root are reasonably selected according to the material property of abrasive material, the working environment of ball mill and job requirement
Ball mill specification is selected according to the production capacity demand of ball mill user;When abrasive material is ferrous metal ore or nonferrous metals ore
Under the conditions of, ball mill selects metal ore mill;The working environment of the material property according to abrasive material, ball mill, specifically: when
Under conditions of when abrasive material is nonmetallic soft mine or nonmetallic hard mine, ball mill differential grinding machine;According to the work of ball mill
It is required that when ball mill of ball mill under the conditions of requiring dry grinding or wet-milling selects coal pulverizer;It is described according to ball mill user's
Production capacity demand select ball mill specification, specifically ball mill according to the productivity of ball milling product, production yields, scale and
The requirement of productivity is different, is divided into small grinder, medium-sized ball mill, large-size ball mill and Extra large ball mill, specially root
Ball mill specification is reasonably selected according to user demand.
(2) determine the most preferably different sphere diameter abrading-ball grading distribution schemes of ball mill, most economical material abrading-ball, the best useful load of abrading-ball and
Tip-in regimen cycle;
Before, to State Patent Office propose it is entitled " it is a kind of for ball-grinding machine abrading-ball quantized level with technology can
Depending on change method " patent application, propose system complete grinding machine dress application No. is the patent application of " 201610161104X " and mend
Ball technical solution has obtained the best useful load of abrading-ball, most economical Material quality of grinding balls and best abrading-ball grade with method for visualizing
With scheme, high-quality abrading-ball can be made to adapt to different operating environment by the determination of the grading distribution scheme to best different sphere diameter abrading-balls,
Give full play to its excellent service performance;Table 1 is visualization optimum results system, as shown in table 1, by four kinds of different balls
Influence factor (armoured material, abrasives, abrading-ball useful load, abrading-ball sphere diameter proportion, abrading-ball alloying component and the Re Chu of diameter abrading-ball
Reason system) to the visual analyzing, excellent of gradation performance assessment criteria (energy consumption of mill, abrading-ball abrasion, flour extraction, production cost) mapping
Change, considers further that certain technological factors, it is determined that M2 group (60: Φ 50: Φ 40: Φ 30=11.65:50.11:28.17 of Φ:
10.07) it can be used as optimum gradation scheme.So that it is determined that abrading-ball best useful load are as follows: 36.23t;Most economical preferred abrading-ball material
Matter are as follows: the high-Cr grinding balls containing Cr10.86% or so, best tip-in regimen cycle are 7 days.To realize to chromium system Material quality of grinding balls
Using gradation performance assessment criteria as test stone, using the influence factor of performance assessment criteria as experimental variable, finally realizes and using chromium
The gradation of best different sphere diameter abrading-balls of the 4 kinds of sphere diameter abrading-balls of material under the conditions of best abrading-ball useful load and most economical Material quality of grinding balls
The visualized operation of scheme.
Table 1 visualizes optimum results system
(3) dynamic tip-in parameter engineering model is determined;
Dynamic tip-in parameter engineering model includes Ball wear matrix model and neural network prediction abrading-ball tip-in proportional die
Type;Using most economical material abrading-ball as the Cr grinding balls of chromium content 10.86%, best four kinds different sphere diameter abrading-ball grading distribution schemes are Φ
60: Φ 50: Φ 40: Φ 30=11.65:50.11:28.17:10.07, the best useful load of abrading-ball are 36.23t, tip-in scheme week
Phase is based on 7 days.
1) foundation of the Ball wear matrix model includes the following steps:
A1: determining that Ball wear steady-state characteristic matrix is [p (t)],
A2: ideal dress ball gradation vector { x is determined0And actual dress ball gradation vector { x }, the volume of 1 ball-grinding machine
Determining ball load is W, and Ball wear steady-state characteristic matrix is [p (t)], ideal to fill ball gradation vector { x0And actual dress ball
Gradation vector { x } is respectively:
{x0}={ x10,x20,…,xk0,…,xn0}T, S2
{ x }={ x1,x2,…,xk,…,xn}T; S3
A3: after t days continuous coal-grindings, resident amount and ideal difference with ball amount of the kth rank abrading-ball in roller are Δ
Wk:
A4: the total amount that should be added is Δ W:
A5: the unreasonable tip-in amount of j-th stage is Δ WBjCriterion, i.e., tip-in principle condition characterization formula it is as follows:
A1. whenWhen, Δ WBj=0;
A2. whenWhen, it takes
A3. whenWhen, take Δ WBj=Δ Wj;
A6: abrading-ball gradation becomes after tip-in:
xBj=xj-ΔWj/W+ΔWBj/ W, j=1,2 ..., n; S6
A7: utilizing formula S 1-S6, and the parameter of preceding 7 tip-in amounts is calculated using MATLAB Programming with Pascal Language.
2) foundation of the neural network prediction abrading-ball tip-in scale model includes the following steps:
B1: determining that neural network prediction abrading-ball tip-in scale model is [p (t)],
[p (t)]={ y } × { x }-1
W1=
0.68284337499014
0.60406698796090
W2=
-0.20274877882385 0.20451645869560
-0.30974740916445 0.32924537190527
-0.18059072627341 0.10141961262160
B1=
-1.31928900327032
-1.29637427714563
B2=
0.99988918733054
0.99909388384959
1.00065821523216;
B2: the unreasonable tip-in amount of j-th stage is Δ WBjConditional criterion:
WhenWhen, Δ WBj=0;
B3: it is opened up using the resulting neural network prediction abrading-ball tip-in scale model combination artificial neural network of the step B1
It flutters structure and recognition training is carried out to the grading distribution scheme of best different sphere diameter abrading-balls, establish optimal quantization dynamic tip-in scheme.
(4) program composition is carried out to used dynamic tip-in parameter engineering model, and inputs storage model program and fortune
Calculate controller;
(5) known conditions and parameter are inputted in the program worked out to the step (4), i.e., best four kinds of different sphere diameters
Abrading-ball grading distribution scheme is 60: Φ 50: Φ 40: Φ 30=11.65:50.11:28.17:10.07 of Φ, and the best useful load of abrading-ball is
36.23t, tip-in regimen cycle are 7 days;
(6) main and auxiliary control circuit and element are designed, and forms developed abrading-ball intelligent level and matches controller instrument
The art designing of table external and internal compositions and appearance processing;
(7) the abrading-ball intelligent level of the model machine classifying type to the abrading-ball intelligent level developed with controller and different size series
Field operation performance verification and perfect is carried out with controller.
Based on above-mentioned, the present invention in ball mill operational process, ball mill whether in single hop or multistage workspace
The abrading-ball type being packed into can be adjusted by dress tip-in model and changed under conditions of setting abrasive material and medium forms preferable pack completeness
The ratio for becoming different sphere diameter abrading-ball additional amounts can make high-quality abrading-ball adapt to different operating environment, give full play to its excellent use
Performance embodies effect that is apparent energy-saving and reducing ton production cost;And efficiently use the information of high speed development
Technology, intellectually and automatically technology propose one kind to dynamic tip-in parameter engineering model and to used dynamic tip-in parameter
Engineering model progress program composition combines the technological progress for accelerating the field;Controller of the present invention is many with synthesis
Factor, the mathematical model createed by long-term R & D are theoretical basis, by program composition and electrical and metering device
Setting develops.It will enable the operator of each table grinder reach section with controller by using abrading-ball intelligent level
It learns, abrading-ball is made to reach best application in the ball mill to the greatest extent, to realize energy-saving to the greatest extent and section
The about indices of cost;And it (accounts for industrial circle to use mainly for for thermal power generation, mine and the big industrial circle of cement three
90% or more of abrading-ball ball mill quantity), exploitation is directed to small grinder, medium-sized ball mill and large-size ball mill and super-huge ball
The abrading-ball gradation intelligent controller of grinding machine is, it can be achieved that working environment to the material properties of different abrasive materials, ball mill, according to ball milling
The production capacity demand of machine user selects ball mill specification, come design this three categories each tool its adapt to operating condition itself
, with own characteristic, and operation is carried out by programming and realizes that the abrading-ball intelligent level of control matches controller, give full play to mill
The service performance of ball, so that energy-saving and reduction production cost, has the characteristics that have a wide range of application.
As known by the technical knowledge, the present invention can pass through the embodiment party of other essence without departing from its spirit or essential feature
Case is realized.Therefore, embodiment disclosed above, in all respects are merely illustrative, not the only.Institute
Have within the scope of the present invention or in the change being equal in the scope of the present invention and includes by the present invention.
Claims (5)
1. a kind of method developed abrading-ball intelligent level and match controller, which comprises the steps of:
(1) ball mill type is reasonably selected according to the material property of abrasive material, the working environment of ball mill and job requirement, according to ball
The production capacity demand of grinding machine user selects ball mill specification;
(2) the most preferably different sphere diameter abrading-ball grading distribution schemes of ball mill, most economical material abrading-ball, the best useful load of abrading-ball and tip-in are determined
Regimen cycle;
(3) determine dynamic tip-in parameter engineering model, the dynamic tip-in parameter engineering model be Ball wear matrix model or
Neural network prediction abrading-ball tip-in scale model;
The foundation of the Ball wear matrix model includes the following steps:
A1: determining that Ball wear steady-state characteristic matrix is [p (t)],
A2: ideal dress ball gradation vector { x is determined0And actual dress ball gradation vector { x }, the specified dress ball of 1 ball-grinding machine
Amount is W, and Ball wear steady-state characteristic matrix is [p (t)], ideal to fill ball gradation vector { x0And actual dress ball grade orientation
Amount { x } is respectively:
{x0}={ x10,x20,…,xk0,…,xn0}T, S2
{ x }={ x1,x2,…,xk,…,xn}T; S3
A3: after t days continuous coal-grindings, resident amount and ideal difference with ball amount of the kth rank abrading-ball in roller are Δ Wk:
A4: the total amount that should be added is Δ W:
A5: the unreasonable tip-in amount of j-th stage is Δ WBjCriterion, i.e., tip-in principle condition characterization formula it is as follows:
A1. whenWhen, Δ WBj=0;
A2. whenWhen, it takes
A3. whenWhen, take Δ WBj=Δ Wj;
A6: abrading-ball gradation becomes after tip-in:
xBj=xj-ΔWj/W+ΔWBj/ W, j=1,2 ..., n; S6
A7: utilizing formula S 1-S6, and the parameter of preceding 7 tip-in amounts is calculated using MATLAB Programming with Pascal Language;
The foundation of the neural network prediction abrading-ball tip-in scale model includes the following steps:
B1: determining that neural network prediction abrading-ball tip-in scale model is [p (t)],
[p (t)]={ y } × { x }-1
W1=
0.68284337499014
0.60406698796090
W2=
-0.20274877882385 0.20451645869560
-0.30974740916445 0.32924537190527
-0.18059072627341 0.10141961262160
B1=
-1.31928900327032
-1.29637427714563
B2=
0.99988918733054
0.99909388384959
1.00065821523216;
B2: the unreasonable tip-in amount of j-th stage is Δ WBjConditional criterion:
WhenWhen, Δ WBj=0;
B3: the resulting neural network prediction abrading-ball tip-in scale model combination artificial neural network topology knot of the step B1 is used
Structure carries out recognition training to the grading distribution scheme of best different sphere diameter abrading-balls, establishes optimal quantization dynamic tip-in model scheme;
(4) program composition is carried out to used dynamic tip-in parameter engineering model, and inputs storage model program and operation control
Device processed;
(5) known conditions and parameter are inputted in the program worked out to the step (4);
(6) design is main and the control circuit and element of auxiliary, and forms developed abrading-ball intelligent level in control instruments and meters
The art designing of external structure and appearance processing;
(7) the abrading-ball intelligent level of the model machine classifying type to the abrading-ball intelligent level developed with controller and different size series is with control
Device processed carries out field operation performance verification and perfect.
2. a kind of method developed abrading-ball intelligent level and match controller according to claim 1, which is characterized in that the step
(1) condition according to the material property of abrasive material, the working environment of ball mill, when abrasive material is ferrous metal ore or nonferrous metals ore
Under, ball mill selects metal ore mill;Under conditions of when abrasive material is nonmetallic soft mine or nonmetallic hard mine, ball mill choosing
Select ore mill;According to the job requirement of ball mill, when ball mill is under the conditions of requiring dry grinding or wet-milling, ball mill selects coal-grinding
Machine.
3. a kind of method developed abrading-ball intelligent level and match controller according to claim 1, which is characterized in that the step
(1) described to select ball mill specification according to the production capacity demand of ball mill user, specifically ball mill is produced according to ball milling
Productivity, production yields, the scale of product are different with the requirement of productivity, are divided into small grinder, medium-sized ball mill, large-scale ball milling
Machine and Extra large ball mill specially reasonably select ball mill specification according to user demand.
4. a kind of method developed abrading-ball intelligent level and match controller according to claim 1, which is characterized in that step (2)
Described in best different sphere diameter abrading-ball grading distribution schemes using four kinds of different sphere diameter abrading-balls, and different sphere diameter abrading-ball grading distribution schemes are specific
For 60: Φ 50: Φ 40: Φ 30=11.65:50.11:28.17:10.07 of Φ, most economical material abrading-ball is chromium content 10.86%
Cr grinding balls, the best useful load of abrading-ball be 36.23t, tip-in regimen cycle be 7 days.
5. a kind of method developed abrading-ball intelligent level and match controller according to claim 1, which is characterized in that step (5)
Described in known conditions and parameter be the most preferably different sphere diameter abrading-ball grading distribution schemes of ball mill, the best useful load of abrading-ball and tip-in scheme
Period.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201610202234.3A CN105854998B (en) | 2016-04-01 | 2016-04-01 | A method of it developing abrading-ball intelligent level and matches controller |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201610202234.3A CN105854998B (en) | 2016-04-01 | 2016-04-01 | A method of it developing abrading-ball intelligent level and matches controller |
Publications (2)
Publication Number | Publication Date |
---|---|
CN105854998A CN105854998A (en) | 2016-08-17 |
CN105854998B true CN105854998B (en) | 2019-04-05 |
Family
ID=56626721
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN201610202234.3A Expired - Fee Related CN105854998B (en) | 2016-04-01 | 2016-04-01 | A method of it developing abrading-ball intelligent level and matches controller |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN105854998B (en) |
Families Citing this family (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN106582967A (en) * | 2016-12-14 | 2017-04-26 | 上海发电设备成套设计研究院 | Steel ball supplementing method for double-inlet and double-outlet coal mill |
CN111085308A (en) * | 2019-12-25 | 2020-05-01 | 北京耐磨矿冶能效技术研究院有限公司 | Equal-area ball filling and supplementing method for primary ball filling of ball mill in concentrating mill |
Family Cites Families (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
DE19501616A1 (en) * | 1995-01-20 | 1996-07-25 | Kloeckner Humboldt Deutz Ag | Grinding esp. of pre-ground cement clinker |
FI102149B (en) * | 1995-03-08 | 1998-10-30 | Valtion Teknillinen | Method for grinding granular material and grinding equipment |
CN1278775C (en) * | 2003-12-06 | 2006-10-11 | 昆明理工大学 | Ball grinder accurate ball loading method |
CN103433098B (en) * | 2013-08-20 | 2015-10-28 | 太原钢铁(集团)有限公司 | A kind of method improving ball mill grinding efficiency |
-
2016
- 2016-04-01 CN CN201610202234.3A patent/CN105854998B/en not_active Expired - Fee Related
Also Published As
Publication number | Publication date |
---|---|
CN105854998A (en) | 2016-08-17 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN105964346B (en) | A kind of method for visualizing for matching technology for ball-grinding machine abrading-ball quantized level | |
CN100401213C (en) | Intelligent optimized control method for comprehensive production index in ore dressing process | |
CN109583118B (en) | Sintering ratio calculation and sinter cost optimization method | |
CN105854998B (en) | A method of it developing abrading-ball intelligent level and matches controller | |
CN100469451C (en) | Accurate method for improving production and saving energy by combining ball lLoad and addition in mill and forward leading of energy consumption | |
Peng et al. | Friction and wear of liner and grinding ball in iron ore ball mill | |
CN105868458B (en) | Casting grinding ball grading mathematical modeling method based on visual platform | |
Gao et al. | Enhancing the capacity of large-scale ball mill through process and equipment optimization: An industrial test verification | |
CN104680012A (en) | Calculating model for sintering and burdening | |
Yu et al. | An innovative approach for determining the grinding media system of ball mill based on grinding kinetics and linear superposition principle | |
CN103617456A (en) | Operating index optimization method in beneficiation process | |
CN106582967A (en) | Steel ball supplementing method for double-inlet and double-outlet coal mill | |
CN111738580A (en) | Anshan type iron ore blending optimization method | |
CN104607301A (en) | Method for determining best grinding feed size | |
CN106950836A (en) | Cement grinding mill feeding capacity fuzzy control method and system | |
CN105975647B (en) | A kind of method for visualizing of high abrasion cast grinding ball ingredient design and heat treating regime | |
CN114512197A (en) | Method for predicting sinter drum index based on ore blending technology | |
Sahoo et al. | Correlations for the grindability of the ball mill as a measure of its performance | |
CN115186869A (en) | Prediction method for sintering burdening structure change | |
Dudek | The model for the calculation of the dispersed iron ore resource purchase cost in the world class manufacturing (WCM) logistics pillar context | |
Dong et al. | Comparison of prediction models for power draw in grinding and flotation processes in a gold treatment plant | |
Mayorov et al. | Influence of construction of bearing assembly on the size characteristic of crushing by a jaw crusher | |
CN207805734U (en) | A kind of novel energy-saving environment-friendly stone disintegrating apparatus | |
CN105750031A (en) | Manufacturing and applying integrated processing method for cast grinding balls | |
Bingyu et al. | Research on data driven modeling method of grinding process based on RBF neural network |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
C06 | Publication | ||
PB01 | Publication | ||
C10 | Entry into substantive examination | ||
SE01 | Entry into force of request for substantive examination | ||
GR01 | Patent grant | ||
GR01 | Patent grant | ||
CF01 | Termination of patent right due to non-payment of annual fee | ||
CF01 | Termination of patent right due to non-payment of annual fee |
Granted publication date: 20190405 Termination date: 20200401 |