CN107520258A - The method of testing of cold rolling mill motor losses moment coefficient - Google Patents
The method of testing of cold rolling mill motor losses moment coefficient Download PDFInfo
- Publication number
- CN107520258A CN107520258A CN201610459732.6A CN201610459732A CN107520258A CN 107520258 A CN107520258 A CN 107520258A CN 201610459732 A CN201610459732 A CN 201610459732A CN 107520258 A CN107520258 A CN 107520258A
- Authority
- CN
- China
- Prior art keywords
- mrow
- motor
- msub
- roll
- speed
- 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.)
- Granted
Links
- 238000005097 cold rolling Methods 0.000 title claims abstract description 28
- 238000010998 test method Methods 0.000 title claims description 8
- 238000003801 milling Methods 0.000 claims abstract description 17
- 238000012360 testing method Methods 0.000 claims abstract description 17
- 238000000034 method Methods 0.000 claims abstract description 16
- 238000013461 design Methods 0.000 claims abstract description 9
- 238000012790 confirmation Methods 0.000 claims abstract description 5
- 238000000611 regression analysis Methods 0.000 claims description 6
- 238000012216 screening Methods 0.000 claims description 6
- 238000011990 functional testing Methods 0.000 claims description 2
- 238000005096 rolling process Methods 0.000 abstract description 14
- 238000010276 construction Methods 0.000 abstract description 2
- 239000002131 composite material Substances 0.000 abstract 1
- 238000005452 bending Methods 0.000 description 4
- 230000005540 biological transmission Effects 0.000 description 2
- 230000006870 function Effects 0.000 description 2
- 238000005259 measurement Methods 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 241001269238 Data Species 0.000 description 1
- 230000001133 acceleration Effects 0.000 description 1
- 238000013475 authorization Methods 0.000 description 1
- 238000004364 calculation method Methods 0.000 description 1
- 230000008859 change Effects 0.000 description 1
- 230000001419 dependent effect Effects 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 230000005611 electricity Effects 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 238000000227 grinding Methods 0.000 description 1
- 230000007246 mechanism Effects 0.000 description 1
- 238000012821 model calculation Methods 0.000 description 1
- 238000002360 preparation method Methods 0.000 description 1
- 230000008569 process Effects 0.000 description 1
Classifications
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B21—MECHANICAL METAL-WORKING WITHOUT ESSENTIALLY REMOVING MATERIAL; PUNCHING METAL
- B21B—ROLLING OF METAL
- B21B38/00—Methods or devices for measuring, detecting or monitoring specially adapted for metal-rolling mills, e.g. position detection, inspection of the product
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
- Y02P70/00—Climate change mitigation technologies in the production process for final industrial or consumer products
- Y02P70/10—Greenhouse gas [GHG] capture, material saving, heat recovery or other energy efficient measures, e.g. motor control, characterised by manufacturing processes, e.g. for rolling metal or metal working
Landscapes
- Engineering & Computer Science (AREA)
- Mechanical Engineering (AREA)
- Control Of Metal Rolling (AREA)
- Control Of Electric Motors In General (AREA)
Abstract
The present invention relates to the method for testing of a kind cold rolling mill motor losses moment coefficient, this method is by obtaining milling train alternating current motor design parameter, the power factor of calculating motor is multiplied by efficiency value cos α × η；The confirmation of milling train working condition before test, the roll-force for being applied to fixed number value, milling train motor losses moment coefficient g is obtained by regression formulaL0‑gL4.By surveying the parameters such as roll-force, the speed of rolls, motor voltage, motor current, and consider that motor running efficiency is lost, the motor losses torque of calculating is more accurate.For determining the theory return model of motor losses moment coefficient, the independent variable and polynomial construction of selection are more reasonable, ensure the on-line prediction accuracy error rate of motor losses torque within 10%.It the composite can be widely applied in single chassis or the motor losses Calculating Torque during Rotary of multi-frame cold continuous rolling, there is certain popularizing value.
Description
Technical field
The present invention relates to a kind of method of testing, and in particular to a kind of test side of cold rolling mill motor losses moment coefficient
Method, belong to cold rolling technical field.
Background technology
Torque caused by motor is made up of three parts during cold rolling：Roll torque, tension torque and loss
Torque.Roll torque is formed by frictional force, roll flattening etc.；Tension torque is formed by the tension variation before and after frame, and is damaged
Losing torque is formed by caused mechanical loss during stable rolling.Mechanical loss mainly includes roll bearing and transmission
The equipment such as mechanism are due to additional friction torque caused by friction and when overcoming roll and each rotatable parts zero load of transmission system
Moment of friction.
The theoretical calculation of bearing, gearing friction torque and unloading torque that classical rolling therory is related to it is extremely complex, it is necessary to
The torque needed for each roll bearing and rotatable parts is calculated, scene is difficult to apply.Another measuring method is motor in zero load
When being pressed against rotation, loss torque is extrapolated by surveying motor output power.Because the now roll torque of state and tension force power
Square is zero, and the power output of cold rolling motor is wasted power.During actual stable rolling, due to roll-force, rolling speed
Degree is continually changing, and the loss moment of torsion of the operation of rolling is not fixed value, how to choose suitable independent variable establish it is a set of reliable
Regression model be very important.
Chinese invention patent " Forecasting Methodology of power of motor during a kind of cold rolling " (patent of invention number：
201510367889.1 Authorization Notice No.：CN 104998913A) disclose the prediction of power of motor during cold rolling a kind of
Method.This method carries out Cold rolling motor power attenuation test, obtains the loss of Cold rolling motor mechanical output and roll-force, mill speed
Between relation, and calculate Cold rolling motor mechanical output loss；The rolling power being calculated, Cold rolling motor mechanical output are damaged
Consumption summation obtains power of motor prediction result during cold rolling.
The motor mechanical output loss regression model that above-mentioned prior art provides, the independent variable provided is work rolling
Roller rotating speed and roll-force, model calculation formula is simpler, lacks the support of theoretical formula.Following theoretical formula consumes when being rolling
Work(and roll torque between relational expression.
In formula, A is the work(consumed during rolling；Q is corner of the rolled piece by roll during roll；V is the speed of rolls；R is
Roller radius；T is the time.
Above formula shows that the work(that consumes and the speed of rolls, roller radius are related during rolling.And prior art provides back
The independent variable of model is returned to lack roller radius this key factor.In the actual operation of rolling, the roll after each roll change cycle
Radius differs, and is tapered into the grinding roller radius of roll, until scrapping.This meter for motor losses torque
It is very important at last.
The content of the invention
The present invention is exactly for technical problem present in prior art, there is provided a kind of cold rolling mill motor losses torque system
Several method of testings, this method accurately measure motor losses moment coefficient.
To achieve these goals, technical scheme is as follows, a kind of cold rolling mill motor losses moment coefficient
Method of testing, it is characterised in that the described method comprises the following steps：
Step 1, obtain milling train alternating current motor design parameter, including rated power, rated voltage, amount electric current, specified turn
Speed, maximum speed, gear ratio；
Step 2, known nominal power, rated voltage, amount electric current, according to formula, the power factor for calculating motor is multiplied by
Efficiency value cos α × η；
In formula：V is rated voltage, V；I is rated current, A；Cos α are power factor, and η is efficiency value；Kw is specified work(
Rate, KW；
The confirmation of milling train working condition, includes the confirmation of following condition before step 3, test：
1) it is to ensure test mode closer to normal as-rolled condition, it is necessary to ensure that roll is under Warm status；
2) roll should choose representational size, because roller diameter has certain use range, avoid using roll
Roll of the diameter close to lower limit；
3) excision of bending roller force function, coming into operation for bending roller force can have an impact to roll-force in test process, so as to
The accuracy of influence of rolled force data；
4) roll-force, mill speed, the function normal operation of roll gap adjustment are ensured；
Step 4, the roll-force for being applied to fixed number value, keep roll gap to fix, allow roll to be operated under different rotating speeds, it is to be rolled
When power, roll rotational speed are constant, roll-force, the speed of rolls, motor voltage and motor current under the speed point are gathered.Frequency acquisition
Generally 0.5 second, for picking rate o'clock up to 10 groups, the maximum speed of selection will reach the maximum speed of design, be scattered in simultaneously
Different speed intervals；
Step 5, because the data volume of high frequency collection it is larger, it is necessary to screen suitable data, choose continuous under each speed point
Ten groups of acquisition parameter, its average value is taken, as one group of data for regression analysis；
Step 6, to 10 groups of data counting loss torques after screening；
Step 7, return by below equation to obtain milling train motor losses moment coefficient gL0-gL4；
In formula：P is roll-force, ton；V is the speed of rolls, mpm；R is roller radius, mm；gL0For motor losses moment coefficient
Constant term；gL1-gL3For the motor losses moment coefficient related to the speed of rolls, roller radius；gL4For the horse related to roll-force
Up to loss moment coefficient；
Step 8, the g for obtaining recurrenceL0-gL4It is saved in internal memory constant table, it is determined that final cold rolling motor losses power
Regression model, i.e., when cold rolling motor losses power and the working roll speed of rolls of forebay, working roll roller radius, roll-force it
Between functional relation.
As a modification of the present invention, the step 6, to 10 groups of data counting loss torques after screening, specific step
It is rapid as follows：
Step 6-1, because the efficiency of motor running is lossy, do not act in the speed of rolls, it is necessary to pass through actual measurement all
The speed of rolls calculates motor actual speed；
In formula：nrFor motor rotary speed, rpm；V is the speed of rolls, mpm；R is working roll radius, mm；GrFor gear ratio.
Step 6-2, motor losses power K is calculatedl, cos α × η obtain in step 2；
In formula：VlFor virtual voltage, V；IlFor actual current, A；KlFor wasted power, KW.
Step 6-3, motor losses torque G is calculatedL；
In formula：R is working roll radius, mm；V is the speed of rolls, mpm；GLTo lose torque, kgmm.
Relative to prior art, the method for testing of motor losses moment coefficient provided by the invention rolls operating mode close to actual
Condition, by surveying the parameters such as roll-force, the speed of rolls, motor voltage, motor current, and consider that motor running efficiency is lost,
The motor losses torque of calculating is more accurate.For determining the theory return model of motor losses moment coefficient, the independent variable of selection
It is more reasonable with polynomial construction, ensure the on-line prediction accuracy error rate of motor losses torque within 10%.The present invention can
It is widely used in single chassis or the motor losses Calculating Torque during Rotary of multi-frame cold continuous rolling, there is certain popularizing value.
Brief description of the drawings
Fig. 1 is milling train motor losses moment coefficient method of testing flow chart of the present invention.
Fig. 2 is that the present invention surveys the curve map that a frame high-frequency data is drawn.
Fig. 3 is the comparison diagram that one frame motor of the present invention loses torque match value and measured value.
Embodiment：
In order to deepen the understanding of the present invention, the present embodiment is described in detail below in conjunction with the accompanying drawings.
Embodiment 1：Referring to Fig. 1, a kind of method of testing of cold rolling mill motor losses moment coefficient, it is characterised in that institute
The method of stating comprises the following steps：
Step 1, obtain milling train alternating current motor design parameter, including rated power, rated voltage, amount electric current, specified turn
Speed, maximum speed, gear ratio；
Step 2, known nominal power, rated voltage, amount electric current, according to formula, the power factor for calculating motor is multiplied by
Efficiency value cos α × η；
In formula：V is rated voltage, V；I is rated current, A；Cos α are power factor, and η is efficiency value；Kw is specified work(
Rate, KW；
The confirmation of milling train working condition before step 3, test, including roll are under Warm status；Roll is chosen representative
Size；It is not added with bending roller force；The functional test of roll-force, mill speed, roll gap adjustment is completed；
Step 4, the roll-force for being applied to fixed number value, keep roll gap to fix, allow roll to be operated under different rotating speeds, it is to be rolled
When power, roll rotational speed are constant, roll-force, the speed of rolls, motor voltage and motor current under the speed point are gathered.Frequency acquisition
For 0.5 second, for picking rate o'clock up to 10 groups, the maximum speed of selection will reach the maximum speed of design, while be scattered in difference
Speed interval；
Step 5, because the data volume of high frequency collection it is larger, it is necessary to screen suitable data, choose continuous under each speed point
Ten groups of acquisition parameter, its average value is taken, as one group of data for regression analysis；
Step 6, to 10 groups of data counting loss torques after screening,
Step 7, return by below equation to obtain milling train motor losses moment coefficient gL0-gL4；
In formula：P is roll-force, ton；V is the speed of rolls, mpm；R is roller radius, mm；gL0For motor losses moment coefficient
Constant term；gL1-gL3For the motor losses moment coefficient related to the speed of rolls, roller radius；gL4For the horse related to roll-force
Up to loss moment coefficient；
Step 8, the g for obtaining recurrenceL0-gL4It is saved in internal memory constant table, it is determined that final cold rolling motor losses power
Regression model, i.e., when cold rolling motor losses power and the working roll speed of rolls of forebay, working roll roller radius, roll-force it
Between functional relation.
As a modification of the present invention, the step 6, to 10 groups of data counting loss torques after screening, specific step
It is rapid as follows：
Step 6-1, because the efficiency of motor running is lossy, do not act in the speed of rolls, it is necessary to pass through actual measurement all
The speed of rolls calculates motor actual speed；
In formula：nrFor motor rotary speed, rpm；V is the speed of rolls, mpm；R is working roll radius, mm；GrFor gear ratio.
Step 6-2, motor losses power K is calculatedl, cos α × η obtain in step 2；
In formula：VlFor virtual voltage, V；IlFor actual current, A；KlFor wasted power, KW.
Step 6-3, motor losses torque G is calculatedL；
In formula：R is working roll radius, mm；V is the speed of rolls, mpm；GLTo lose torque, kgmm.
Application Example：Present embodiment is the six roller UCM milling trains progress for certain Stands Cold Tandem Mill group of 1420mm five
Test, each frame employ same procedure test and have returned motor losses moment coefficient.
First obtain milling train alternating current motor design parameter, including rated power, rated voltage, amount electric current, rated speed,
Maximum speed, gear ratio, the power factor for calculating motor are multiplied by efficiency value cos α × η, as shown in table 1.
The milling train alternating current motor design parameter table of table 1 and cos α × η calculated values
Start the preparation before test.Roll is set to be dallied with low velocity before test so that roll and motor are in heat
Under state, state when ensureing test mode and normal rolling is essentially identical.Apply roll-force extremely under the premise of bending roller force is cut off
700 tons or so, respectively with 120rpm, 240rpm, 360rpm, 480rpm, 600rpm, 720rpm, 840rpm, 960rpm,
1080rpm, 1200rpm are stepped up roll rotational speed, each invariablenes turning speed more than 30 seconds, while gather the roll speed of 5 frames
Degree, roll-force, motor voltage, motor current data.
Fig. 2 show the curve map of a frame high frequency measured data drafting, it is necessary to the high-frequency data of collection
Reason, the data gathered during acceleration and deceleration are rejected, choose continuous ten groups under each speed point of data, take roll-force, motor electricity
Pressure, the average value of motor current, one group of data as regression analysis.Same method completes ten groups of data of ten speed points.
Result such as table 2.
2 one frame loss moment coefficient test datas of table
According to motor losses Calculating Torque during Rotary formula, calculateWith roll-force P together as independent variable,
Torque is lost as dependent variable, regression analysis obtains milling train motor losses moment coefficient gL0-gL4, it is shown in Table 3.
gL0=-931024, gL1=857038, gL2=-211086, gL3=4495.184, gL4=961.8449.
3 one frame loss moment coefficient regression analysis data of table
Obtained g will be returnedL0-gL4It is saved in internal memory constant table, it is determined that final cold rolling motor losses power returns mould
Type, i.e., when the cold rolling motor power loss of forebay and the letter between working roll roll rotational speed, roll-force, working roll roller radius
Number relation.
The cold rolling motor losses moment coefficient of the frame is read from configuration file, calculates motor losses torque match value,
As shown in table 4, Fig. 3, it is seen that loss torque precision of prediction deviation ratio meets on-line prediction required precision within 10%.
4 one frame motor loss torque match values of table and accuracy error rate
It should be noted that above-described embodiment, is not used for limiting protection scope of the present invention, in above-mentioned technical proposal
On the basis of made equivalents or replacement each fall within the scope that the claims in the present invention are protected.
Claims (2)
1. a kind of method of testing of cold rolling mill motor losses moment coefficient, it is characterised in that the described method comprises the following steps：
Step 1, obtain milling train alternating current motor design parameter, including rated power, rated voltage, amount electric current, rated speed, most
High rotating speed, gear ratio；
Step 2, known nominal power, rated voltage, amount electric current, according to formula, the power factor for calculating motor is multiplied by efficiency
Value cos α × η；
<mrow>
<mi>c</mi>
<mi>o</mi>
<mi>s</mi>
<mi>&alpha;</mi>
<mo>&times;</mo>
<mi>&eta;</mi>
<mo>=</mo>
<mn>1000</mn>
<mo>&times;</mo>
<mi>K</mi>
<mi>w</mi>
<mo>/</mo>
<mrow>
<mo>(</mo>
<msqrt>
<mn>3</mn>
</msqrt>
<mo>&times;</mo>
<mi>V</mi>
<mo>&times;</mo>
<mi>I</mi>
<mo>)</mo>
</mrow>
</mrow>
In formula：V is rated voltage, V；I is rated current, A；Cos α are power factor, and η is efficiency value；Kw is rated power,
KW；
The confirmation of milling train working condition before step 3, test, including roll are under Warm status；Roll chooses representational chi
It is very little；The functional test of roll-force, mill speed, roll gap adjustment is completed；
Step 4, the roll-force for being applied to fixed number value, keep roll gap to fix, allow roll to be operated under different rotating speeds, power to be rolled,
When roll rotational speed is constant, roll-force, the speed of rolls, motor voltage and motor current under the speed point are gathered, frequency acquisition is
0.5 second, for picking rate o'clock up to 10 groups, the maximum speed of selection will reach the maximum speed of design, while be scattered in different
Speed interval；
Step 5, because the data volume of high frequency collection it is larger, it is necessary to screen suitable data, choose under each speed point continuous ten groups
Acquisition parameter, its average value is taken, as one group of data for regression analysis；
Step 6, to 10 groups of data counting loss torques after screening,
Step 7, return by below equation to obtain milling train motor losses moment coefficient gL0-gL4；
<mrow>
<msub>
<mi>G</mi>
<mi>L</mi>
</msub>
<mo>=</mo>
<msub>
<mi>g</mi>
<mrow>
<mi>L</mi>
<mn>0</mn>
</mrow>
</msub>
<mo>+</mo>
<msub>
<mi>g</mi>
<mrow>
<mi>L</mi>
<mn>1</mn>
</mrow>
</msub>
<mo>&times;</mo>
<msqrt>
<mfrac>
<mi>V</mi>
<mi>R</mi>
</mfrac>
</msqrt>
<mo>+</mo>
<msub>
<mi>g</mi>
<mrow>
<mi>L</mi>
<mn>2</mn>
</mrow>
</msub>
<mo>&times;</mo>
<mfrac>
<mi>V</mi>
<mi>R</mi>
</mfrac>
<mo>+</mo>
<msub>
<mi>g</mi>
<mrow>
<mi>L</mi>
<mn>3</mn>
</mrow>
</msub>
<mo>&times;</mo>
<msup>
<mrow>
<mo>(</mo>
<mfrac>
<mi>V</mi>
<mi>R</mi>
</mfrac>
<mo>)</mo>
</mrow>
<mn>2</mn>
</msup>
<mo>+</mo>
<msub>
<mi>g</mi>
<mrow>
<mi>L</mi>
<mn>4</mn>
</mrow>
</msub>
<mo>&times;</mo>
<mi>P</mi>
</mrow>
In formula：P is roll-force, ton；V is the speed of rolls, mpm；R is roller radius, mm；gL0For motor losses moment coefficient constant
；gL1-gL3For the motor losses moment coefficient related to the speed of rolls, roller radius；gL4Damaged for the motor related to roll-force
Lose moment coefficient；
Step 8, the g for obtaining recurrenceL0-gL4It is saved in internal memory constant table, it is determined that final cold rolling motor losses power returns
Model, i.e., when between the cold rolling motor losses power and the working roll speed of rolls, working roll roller radius, roll-force of forebay
Functional relation.
2. the method for testing of cold rolling mill motor losses moment coefficient according to claim 1, it is characterised in that the step
Rapid 6, to 10 groups of data counting loss torques after screening, comprise the following steps that：
Step 6-1, because the efficiency of motor running is lossy, do not act in the speed of rolls, it is necessary to by surveying roll all
Speed calculates motor actual speed；
<mrow>
<msub>
<mi>n</mi>
<mi>r</mi>
</msub>
<mo>=</mo>
<mfrac>
<mrow>
<mn>1000</mn>
<mo>&times;</mo>
<mi>V</mi>
</mrow>
<mrow>
<mn>2</mn>
<mo>&times;</mo>
<mi>R</mi>
<mo>&times;</mo>
<msub>
<mi>G</mi>
<mi>r</mi>
</msub>
<mo>&times;</mo>
<mi>&pi;</mi>
</mrow>
</mfrac>
</mrow>
In formula：nrFor motor rotary speed, rpm；V is the speed of rolls, mpm；R is working roll radius, mm；GrFor gear ratio.
Step 6-2, motor losses power K is calculatedl, cos α × η obtain in step 2；
<mrow>
<msub>
<mi>K</mi>
<mi>l</mi>
</msub>
<mo>=</mo>
<msqrt>
<mn>3</mn>
</msqrt>
<mo>&times;</mo>
<msub>
<mi>V</mi>
<mi>l</mi>
</msub>
<mo>&times;</mo>
<msub>
<mi>I</mi>
<mi>l</mi>
</msub>
<mo>&times;</mo>
<mi>c</mi>
<mi>o</mi>
<mi>s</mi>
<mi>&alpha;</mi>
<mo>&times;</mo>
<mi>&eta;</mi>
<mo>/</mo>
<mn>1000</mn>
</mrow>
In formula：VlFor virtual voltage, V；IlFor actual current, A；KlFor wasted power, KW.
Step 6-3, motor losses torque G is calculatedL；
<mrow>
<msub>
<mi>G</mi>
<mi>L</mi>
</msub>
<mo>=</mo>
<mfrac>
<mrow>
<msub>
<mi>K</mi>
<mi>l</mi>
</msub>
<mo>&times;</mo>
<mi>R</mi>
<mo>&times;</mo>
<mn>60</mn>
</mrow>
<mrow>
<mn>9.81</mn>
<mo>&times;</mo>
<mi>V</mi>
</mrow>
</mfrac>
</mrow>
In formula：R is working roll radius, mm；V is the speed of rolls, mpm；GLTo lose torque, kgmm.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201610459732.6A CN107520258B (en) | 2016-06-22 | 2016-06-22 | The test method of cold rolling mill motor losses torque coefficient |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201610459732.6A CN107520258B (en) | 2016-06-22 | 2016-06-22 | The test method of cold rolling mill motor losses torque coefficient |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN107520258A true CN107520258A (en) | 2017-12-29 |
| CN107520258B CN107520258B (en) | 2019-04-16 |
Family
ID=60735390
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201610459732.6A Active CN107520258B (en) | 2016-06-22 | 2016-06-22 | The test method of cold rolling mill motor losses torque coefficient |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN107520258B (en) |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108984836A (en) * | 2018-06-12 | 2018-12-11 | 中冶南方工程技术有限公司 | A kind of calculation method of rolling loss torque |
| CN110146810A (en) * | 2019-04-23 | 2019-08-20 | 瑞声科技(新加坡)有限公司 | A kind of determination method and device of linear motor test parameter |
| CN112179551A (en) * | 2020-08-20 | 2021-01-05 | 清华大学 | Synchronous testing method and device for torque coefficient and friction force of joint motor of robot |
Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JPH07314025A (en) * | 1994-05-27 | 1995-12-05 | Toshiba Corp | Device for controlling speed of shape roll |
| KR20100011678A (en) * | 2008-07-25 | 2010-02-03 | 현대제철 주식회사 | Apparatus and method for controlling motors in roller-table for transferring fail goods |
| CN102513351A (en) * | 2011-12-24 | 2012-06-27 | 东北大学 | Rolling method and device for strip steel tandem cold rolling |
| CN103100564A (en) * | 2011-11-10 | 2013-05-15 | 上海优控科技有限公司 | Novel rolling process self-adaptive control method |
| CN104438361A (en) * | 2014-11-13 | 2015-03-25 | 北京科技大学 | Load experimenting and testing method for rolling mill alternating current main transmission electromechanical system |
| CN104998913A (en) * | 2015-06-29 | 2015-10-28 | 东北大学 | Prediction method of motor power in cold rolling process |
-
2016
- 2016-06-22 CN CN201610459732.6A patent/CN107520258B/en active Active
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JPH07314025A (en) * | 1994-05-27 | 1995-12-05 | Toshiba Corp | Device for controlling speed of shape roll |
| KR20100011678A (en) * | 2008-07-25 | 2010-02-03 | 현대제철 주식회사 | Apparatus and method for controlling motors in roller-table for transferring fail goods |
| CN103100564A (en) * | 2011-11-10 | 2013-05-15 | 上海优控科技有限公司 | Novel rolling process self-adaptive control method |
| CN102513351A (en) * | 2011-12-24 | 2012-06-27 | 东北大学 | Rolling method and device for strip steel tandem cold rolling |
| CN104438361A (en) * | 2014-11-13 | 2015-03-25 | 北京科技大学 | Load experimenting and testing method for rolling mill alternating current main transmission electromechanical system |
| CN104998913A (en) * | 2015-06-29 | 2015-10-28 | 东北大学 | Prediction method of motor power in cold rolling process |
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108984836A (en) * | 2018-06-12 | 2018-12-11 | 中冶南方工程技术有限公司 | A kind of calculation method of rolling loss torque |
| CN110146810A (en) * | 2019-04-23 | 2019-08-20 | 瑞声科技(新加坡)有限公司 | A kind of determination method and device of linear motor test parameter |
| CN112179551A (en) * | 2020-08-20 | 2021-01-05 | 清华大学 | Synchronous testing method and device for torque coefficient and friction force of joint motor of robot |
| CN112179551B (en) * | 2020-08-20 | 2021-06-22 | 清华大学 | Method and device for synchronizing test method and device of joint motor torque coefficient and friction force of robot |
Also Published As
| Publication number | Publication date |
|---|---|
| CN107520258B (en) | 2019-04-16 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN102688897B (en) | Control method of edge portion strip shape of cold rolling strip steel | |
| CN102542105B (en) | Gear load wireless monitoring system and interactive multi-stage gear physical simulation method finished based on same | |
| CN107520258A (en) | The method of testing of cold rolling mill motor losses moment coefficient | |
| CN102641904B (en) | Energy consumption forecasting device | |
| CN102941232B (en) | Method for controlling hot continuous rolling finish rolling process | |
| CN110646224B (en) | Method for measuring instantaneous output power of vehicle drive wheels | |
| CN110646223B (en) | Measurement system for instantaneous output power of vehicle drive wheels | |
| CN101362165A (en) | Coil diameter measuring device and coil tension control method in strip rolling | |
| CN102806235A (en) | Online calculating method for wrap angle of cold-rolled strip steel plate shape roll | |
| CN207946221U (en) | The fatigue life of RV speed reducers and torsional moment test device | |
| CN103033716B (en) | Calculation method of proportion of each lode component in power grid comprehensive load model | |
| CN102363159B (en) | Thickness control method for single precision cold-rolled sheet thickness measuring system | |
| CN202715655U (en) | System for precisely determining coil diameter value of strip steel coiling machine | |
| CN102744265A (en) | Strip steel C warping control method | |
| CN103712792A (en) | Fault diagnosis method for wind-power gear case | |
| CN102641896B (en) | Gauge and flatness comprehensive control system of cold rolled steel sheet | |
| CN102235893A (en) | Air quantity measuring method and device | |
| Sun et al. | Current-aided dynamic time warping for planetary gearbox fault detection at time-varying speeds | |
| CN106960066A (en) | A kind of hot tandem finished frame work roll surface roughness forecasting procedure | |
| CN111715705A (en) | Tension detection and control method for high-speed wire rod rolling mill | |
| CN104346505B (en) | Cold continuous rolling milling train coefficient of friction Forecasting Methodology | |
| CN110947771B (en) | A method for calculating energy consumption of hot tandem rolling | |
| CN116373915A (en) | A torque balance control method for a multi-axle electric locomotive | |
| CN104467600B (en) | Generator rotational inertia online identification method based on analysis method | |
| CN105242143B (en) | Bad data modification method is estimated based on multi-period precision measurement unit data mode |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |