CN2382535Y - Viscosity and dispersity predeterminer for calendering of banbury - Google Patents

Abstract

The utility model relates to a viscosity and dispersity predeterminer for calendering of a banbury, which is composed of a machine box, a CPU main board, a passive mother board, a PC 104 bus input board, a signal input conditioning board, a hard disk, a soft disk driving controller, a display and a printer, wherein, the PC 104 input board is installed on the CPU main board; the main board is fixed on the passive mother board, and then forms electric connection with the hard disk and the soft disk driving controller; the signal input conditioning board is fixed on the passive mother board; the passive mother board is fixed in the machine box; a circuit is formed by the electric connection of a twenty-four path switching quantity input isolation circuit, a twenty-four path switching quantity output isolation driving circuit, an eight path analog input buffer circuit and a two path V/F conversion circuit. The utility model can carry out on-line inspection, control and prediction to viscosity and dispersity for the calendering. The utility model has the advantages that the qualified rate of products is enhanced and the cost is reduced.

Description

Viscosity and dispersity estimator for banburying mixer mixing rubber

The utility model is a viscosity and dispersity estimator for banburying mixer mixing rubber, belongs to mixer mixing glue parameter automatic detection and control device.

Banbury mixer is to be used for softened rubber increasing sizing material plasticity, to reduce a kind of equipment of compound viscosity, and it is rubber or plastics and solid particulate filler or liquid mixing is mixing, a kind of equipment of plasticizing, dispersion.Banbury mixer to materials such as rubber plastic and solid particulate filler or liquid material mixed milling, plasticizing, dispersing technology after, generally product is all had the requirement that reaches certain viscosity and dispersion degree.Whether reality reaches requirement, and existing method is after the Banbury mixer processing technology, from the product of being produced, get certain sample and carry out the quality testing of viscosity and dispersion degree in the laboratory, as nonconforming, the just process reprocessing that can reprocess, sampling detects again, and whether see qualified again.Can not reprocess, just can only handle or scrap.For this reason, product need be parked a period of time general about 24 hours in the workshop toward contact.The artificial the problems referred to above that solve the prior art existence of invention, once on Banbury mixer, set up the mathematical model of prediction compound viscosity and dispersion degree by every kind of sizing material, predict by quality automatic on-line pick-up unit, obtain good effect in actual applications, just Banbury mixer mixing sizing material kind when a lot, at this moment the workload of setting up prediction compound viscosity and dispersion degree mathematical model is bigger, thereby has influence on applying of it.

The purpose of this utility model is exactly in order to overcome and to solve existing mixer mixing adhesiveness, dispersion parameter detection need in the laboratory sampling Detection, both loaded down with trivial details, time-consuming, make product percent of pass low again, need often do over again or scrap, the shortcoming and the problem of cost of products increase etc., a kind of material to Banbury mixer production of research and design need not be sampled to the laboratory and detect, and can detect, control by real-time online the viscosity and dispersity estimator for banburying mixer mixing rubber that product percent of pass height, cost are reduced greatly.

The utility model is realized by following technical proposals: the structural representation of viscosity and dispersity estimator for banburying mixer mixing rubber as shown in Figure 1, its circuit block diagram as shown in Figure 2, its circuit theory diagrams are as shown in Figure 3.It is by Industry Control machine enclosure 1, Industry Control level cpu motherboard 2, passive mother board 3, PC104 bus signals tablet 4, signal input conditioning plate 5, hard disk 6, disk drive controller 7, display 8 and printer 9 connect and compose jointly, its mutual alignment and annexation are: PC104 bus signals tablet 4 is installed on the Industry Control level cpu motherboard 2 by the PC104 bus hub, 2 of cpu motherboards are fixed on the passive mother board 3 by the isa bus slot, be electrically connected mutually with hard disk 6 and floppy disk 7 by flat signal cable again, signal input conditioning plate 5 is fixed on the passive mother board 3 by the isa bus slot, and passive mother board 3 is fixed in the Industry Control machine enclosure 1; Be plugged on cabinet back side expansion Output Display Unit socket, printer socket, analog quantity input socket by the corresponding respectively card of each above-mentioned plate, be electrically connected mutually with display, printer and Banbury mixer main motor current transmitter, elastomeric compound sizing material glue temperature transmitter by above-mentioned socket again; Its circuit (signal input conditioning plate) is electrically connected jointly and is constituted by 24 way switch amount input isolation circuits, 24 way switch amounts output isolated drive circuit, 8 tunnel analog quantity input buffer circuits, 2 road V/F change-over circuits, and its interconnected relationship is: 24 way switch amount input isolation circuits are electrically connected mutually with industry spot switching value input circuit and PC104 bus tablet respectively; 24 way switch amounts output isolated drive circuit is electrically connected mutually with industry spot controlling object and PC104 bus signals tablet respectively, 8 tunnel analog quantity input buffer circuits are electrically connected mutually with industry spot simulated measurement input circuit, PC104 bus signals tablet respectively, and 2 road V/F change-over circuits are electrically connected mutually with industry spot simulated measurement input circuit, PC104 bus signals tablet respectively.Its action principle is: signal input conditioning plate 5 is with the switching value signal in the Banbury mixer production run, the mixing active power signal of doing of Banbury mixer master motor, sizing material temperature variation signal, after photoelectricity isolation, buffering are amplified, be input to PC104 bus signals tablet 4, be input to cpu motherboard through PC104 bus signals tablet 4 again.Computing machine carries out record analysis according to these input signals to the banburying process of Banbury mixer, foundation returns out corresponding mathematical model, calculate viscosity, dispersion degree predicted value, and mixing process is controlled, to reach the purpose of pre-viscosimetric, dispersion degree and control mix quality.

Circuit theory as shown in Figure 3, wherein a certain way switch amount input isolation circuit is connected and composed jointly by resistance R 19～R20, photoelectric coupled device GDQ2 among the figure; A certain way switch amount output isolated drive circuit is electrically connected jointly by resistance R 21～R23, photoelectric coupled device GDQ3, transistor T1～T2, diode D4, relay J 1 and constitutes; A certain road analog quantity input buffer circuit is electrically connected jointly and is constituted by resistance R 1～R7, operational amplifier U1A, U2A, adjustable resistance RW1, two utmost point stabilivolt DW1～DW2; A certain road V/F change-over circuit is electrically connected jointly and is constituted by resistance R 8～R18, operational amplifier U3A～U4A, V/F switching device U5, adjustable resistance RW1～RW3, two utmost point stabilivolt DW3～DW4, diode D1～D3, capacitor C 1～C3, photoelectric coupled device GDQ1.The simple style of work principle of circuit is as follows: its action principle of switching value input isolation circuit is when the on-the-spot switching value of commercial production is connected, infrared light diode among the photoelectric coupled device GDQ2 just has electric current to flow through, infrared phototriode conducting, its collector is exported a low level to computing machine; The action principle of switching value output isolated drive circuit is: in the time will exporting a control signal, computing machine is exported a low level, infrared light diode among the Light Coupled Device GDQ3 just has electric current to flow through, infrared phototriode conducting, collector is exported a low level, and this low level makes transistor T1 end, the collector of T1 is exported a high level, this level makes transistor T2 conducting, and pilot relay gets electric, exports a control signal; Its action principle of analog quantity input buffer circuit is the analog voltage signal at Banbury mixer scene inputs to operational amplifier through resistance R 1 a negative terminal, because R4=R1, R5=R7, first utmost point of this amplifier, second utmost point enlargement factor are 1, adjusted by adjustable resistance RW1 the zero point of analog quantity, to voltage signal of 1: 1 of computing machine output; Its action principle of V/F change-over circuit is that the analog voltage signal at Banbury mixer scene becomes 0～10V to this voltage through OP amplifier U3A, and adjusted by adjustable resistance RW4 the zero point of analog quantity, and the V-F conversion is finished by U5.Linear in order to change, increased OP amplifier U4A, it is that electric current is imported, full scale is 0～100MA, in order to guarantee the stable capacitor C 2 that increased of backfeed loop, the frequency of U5 is decided by resistance R 16, capacitor C 3 or adjustable resistance RW3, and it is up to the isolated frequency signal of 10KHZ to computing machine exportable.

Set up corresponding mathematical model in the Banbury mixer prediction compound viscosity dispersion degree device, its mathematical model is set up mechanism: with parameters such as the temperature in this viscosity and dispersity estimator for banburying mixer mixing rubber collection mixing process, time, power, energy, when setting up mathematical model, above-mentioned parameters in 2～6 kinds of sizing material mixing process of minimum collection, the sample lot number that each sizing material is gathered is more than at least 15 batches, total is between 40～150 batches, and the pressure and other parameters of gathering the activity coefficient of every kind of sizing material when mixing, closed-smelting machine rotor rotating speed, ram; Again above-mentioned sampling sample is detected the viscosity and the dispersion degree of material in the laboratory by national standard, and testing result is imported this compound viscosity dispersion degree prediction unit; It is as follows that it sets up the mathematical model step: (1) gets rid of the exceptional value of sample data; From the statistics Xue Zhi, as the variable X Normal Distribution, then 99% value should drop in [μ-3 σ, μ+3 σ], if drop on outside this scope, then these data is worked as outlier exclusion; (2) carry out correlation analysis: see viscosity or dispersion degree and the relation of related parameter is arranged from related coefficient; (3) set up mathematical model: with viscosity or dispersion degree is dependent variable, is that mathematical model is set up in the independent variable recurrence with activity coefficient, rotating speed etc.; (4) carry out relevant check: comprising the check of conspicuousness F, the check of coefficient R, residual test; If by check, then regression equation is set up; If do not pass through, then revise mathematical model, continue regression testing, set up up to mathematical prediction model; (5) prediction compound viscosity and dispersion degree: after setting up mathematical prediction model, under at monitoring condition, during the every mixing a collection of end of Banbury mixer, can provide the viscosity and the dispersion degree numerical value of this batch elastomeric compound; As under controlled conditions, the viscosity of this batch elastomeric compound and dispersion degree value reach in the scope of required value, and Banbury mixer just finishes the mixing of this batch.The mathematical model creation facilities program (CFP) block scheme of Banbury mixer prediction compound viscosity, dispersion degree as shown in Figure 4.

The principle of prediction compound viscosity is: from the rheology theory analysis of Banbury mixer, the expression formula of closed-smelting machine rotor torque T is:

In the formula: N is a rotor speed, and μ is a compound viscosity, and a is that lug, nib is risen trench gap and compared h/g; X is that rotor axle body diameter/rotor rib top diameter compares D _c/ D _tE is the lug, nib top width.For specific Banbury mixer, a, x, e, D _c, D _tDeng being constant, as if the numerical value that replaces with A in the formula bracket, then 1. formula can be reduced to: And the armature spindle power P is: $P=\mathrm{TN}=\frac{{\mathrm{\&pi;<figure-callout\; id="2"\; label="N"\; filenames="Y9923683900141.png"\; state="\{\{state\}\}">N</figure-callout>}}^2\mathrm{\&mu;}}{2}A$ From then on 3. in the formula as seen, viscosity, mu is only relevant with P, N, A.In addition, the different not direct relations of viscosity and every kind of prescription.From above analysis, we think that from the angle of every Banbury mixer the mathematical model that adopts the multiple regression analysis method to set up the prediction compound viscosity is possible.Unsatisfactory at first in the practical application.After further study, consider in the hypothesis of derivation following formula, material is full of whole banburying chamber, and actual and underfill, therefore should introduce the fill factor of banburying chamber, be the material filling coefficient in the practical application, after introducing activity coefficient, return the mathematical model of setting up and obtained satisfied result.

The principle of prediction elastomeric compound dispersion degree: according to plastic fluid mix with the solids filler dispersion mechanism and etc. the deflection theory, suppose that plastic fluid and solids place by certain thickness branch multilayer, plastic fluid distortion under external force, the also corresponding displacement of solids, big more as distortion, then the thickness of plastic fluid and solids is more and more littler, be that distance between plastic fluid and between solids is more and more littler, that is to say that deflection is big more, it is good more to mix dispersion, and certain as plastic fluid viscosity, deflection is big more, the external force work done is just big more, and consumed energy is many more.Therefore, how many sizes of dispersion degree should be directly proportional with catabiotic.But because of rubber is not plastic fluid, but viscoelastic fluid, this solids of carbon black are not loose existence, exist but form carbon black agglomerate with certain agglomeration power each other, under external force, the viscoelastic fluid rubber deformation is after external force is removed, have recovery of elasticity in various degree, but carbon black agglomerate not necessarily produces corresponding displacement.So dispersion degree is only undesirable with the model that energy consumption is set up, according to Banbury mixer compounding rubber rheological theory, the only distortion that is produced greater than carbon black agglomerate agglomeration power could be to being dispersed with effect, and the energy in therefore consuming should deduct that part of energy that is consumed less than carbon black agglomeration power.The dispersion degree of carbon black should be relevant with the watt level in a period of time, and power is big, and then dispersion degree is all right.According to this, the mathematical model of the setting up prediction elastomeric compound carbon black dispension degree realization that just is successful on the whole.

The utility model has following advantage and useful effect compared with prior art: the material of 1. existing Banbury mixer production can be qualified, also can be underproof, or even waste product.And to detect just through instrument additional on laboratory or the production line and know.Be exactly the technology that the inventor once invented, also still will set up the sizing material of forecast model and could predict, and workload be bigger by every kind of sizing material modeling and forecasting.And having adopted Banbury mixer of the present utility model, the material of its institute's processing is just known the viscosity and the dispersion degree of the material that it produced when end is mixing.Under controlled conditions, after mixing material reaches its quality requirements, just can finish mixing; 2. use Banbury mixer of the present utility model, as long as mixing any sizing material is all measurable on this Banbury mixer.The utility model has overcome described shortcoming and problem that prior art exists fully, the material that adopts Banbury mixer production of the present utility model is not needed to be sampled to the laboratory again to be detected, and can detect, control by real-time online, therefore, product percent of pass improves greatly, cost reduces greatly, and applying of it will bring bigger economic benefit and social benefit.

Below Figure of description is further specified as follows: Fig. 1 is the contour structures synoptic diagram of viscosity and dispersity estimator for banburying mixer mixing rubber; Fig. 2 is its circuit working functional-block diagram; Fig. 3 is its circuit theory diagrams; Fig. 4 is the mathematical model creation facilities program (CFP) block scheme of Banbury mixer prediction compound viscosity, dispersion degree.

Embodiment of the present utility model can be as follows: (1) draws the printed circuit board (PCB) of signal input conditioning plate by shown in Figure 3, screens components and parts then and installs and simple debugging.For example: U1, U2 can select LM324 type operational amplifier for use; The optional TL082 type of U3, U4 operational amplifier; The optional LM331 type of U5 V/F changes integrated device; The optional 4N25 type of GDQ1 photoelectric coupled device; The optional TL117 type of GDQ2 photoelectric coupled device; (2) by Fig. 1, design shown in Figure 2 and adopt machine-tooled method processing system process industry controller cabinet 1 or choose the 1PC-65 type; Choose required plate, part again, for example: the optional PCA-6153 type of Industry Control cpu motherboard; The optional PCA-6108 type of passive mother board; The optional ADT200 type of PC104 bus signals tablet; The optional Quantum 3.2AT of hard disk; The optional SONY1.44 type of disk drive controller; The optional PH1L1PS105A type of display; Optional National 1121 types of printer; By the described interconnected relationship of top instructions connection is installed then, just can implements this compound viscosity dispersion degree prediction unit preferably; (3) foundation of the mathematical model of mixer mixing adhesiveness dispersion degree prediction as long as undertaken by the described method step of top instructions, just can be implemented preferably.The inventor is through in a few years the research and the test of production practices, and existing a lot of successful embodiment, and having implemented a period of time in production practices prove very successfully, and bigger economic benefit is arranged.Below only for 2 embodiment:

The foundation of embodiment 1:BB370 type Banbury mixer viscosity mathematical prediction model: (1) BB370 type Banbury mixer is gathered the related parameter that has of every batch mixing refining process by its micro computer monitoring or control device, and present embodiment is only gathered the instantaneous power of every batch of binder removal time; (2) search rotating speed and the activity coefficient of every kind of sizing material when mixing from this prediction unit, present embodiment has three kinds of sizing materials to gather 86 batch samples altogether: 27 samples of first kind of sizing material, and rotating speed is 35 rev/mins, activity coefficient is 0.6813; 36 samples of second kind of sizing material, rotating speed is 35 rev/mins, activity coefficient is 0.6640; 23 samples of the third sizing material, rotating speed is 40 rev/mins, activity coefficient is 0.6933; (3), detect, and import in this prediction unit by standard GB/T1232-92 " half finished rubber Mooney viscosity mensuration " standard to above-mentioned 86 batch samples; (4) data to being collected check whether there is abnormal data.From statistics as can be known, if the variable X Normal Distribution, then 99% value should drop in [μ-3 σ, μ+3 σ], if drop on outside this scope, then suspects it is abnormal data, should get rid of; (5) by the viscosity forecast model of following structural form $\mathrm{\&mu;}=\frac{\mathrm{<figure-callout\; id="2"\; label="P\; N"\; filenames="Y9923683900141.png"\; state="\{\{state\}\}">P</figure-callout>}}{N^{}}\&times;1000\&times;({\mathrm{<figure-callout\; id="1"\; label="C"\; filenames="Y9923683900141.png"\; state="\{\{state\}\}">C</figure-callout>}}_1+{\mathrm{<figure-callout\; id="2"\; label="C"\; filenames="Y9923683900141.png"\; state="\{\{state\}\}">C</figure-callout>}}_2/\sqrt{r}+{\mathrm{<figure-callout\; id="3"\; label="C"\; filenames="Y9923683900141.png"\; state="\{\{state\}\}">C</figure-callout>}}_3/r^2)$

In the formula: μ is a Mooney Viscosity of Rubber Mix; P is a binder removal point instantaneous power; N is a rotor speed; R is an activity coefficient; Following formula is carried out the non-linear regression process, will obtain constant C ₁, C ₂, C ₃Estimated result tabulation as shown in table 1.Therefore the forecast model of compound viscosity is: $\mathrm{\&mu;}=\frac{\mathrm{<figure-callout\; id="2"\; label="p\; N"\; filenames="Y9923683900141.png"\; state="\{\{state\}\}">p</figure-callout>}}{N^{}}\&times;1000\&times;(-138729+15144/\sqrt{r}-20681.1/r)$

Table 1: results of linear regression analysis

	The loss of μ: (observed reading-predicted value) 2Total losses=209.50950, R=0.87014, the variance of explanation=75.715%
		Sample size N=86	C 1 C 2 C 3
Standard error of estimate t (83) P-value	-138729 151444 -20681.1 20237.13 22133.54 3053.493 -6.85519 6.842285 -6.77294 0.00000 0.000000 0.00000

(6) coefficient of multiple correlation R of this model=0.87014 represents that our model and the effect of 86 sample data matches are relatively good.And it can also be seen that P/N from table 1 ², r is all more remarkable to the influence of μ.Can pass through conspicuousness F, coefficient R and residual test; (7) for the compound viscosity mathematical prediction model of being set up is tested, in BB370 type mixer mixing process, gather 18 batch samples again, in this 18 batch sample: 9 batches in first kind of glue, 6 batches in second kind of glue, 3 batches in the third glue, and handle is surveyed Mooney viscosity value and predicted value compares, and is shown in table 2 side by side:

Table 2: compound viscosity prediction and residual analysis

Catalogue number(Cat.No.)	Binder removal power activity coefficient rotary speed measure value prediction value residual error P γ N
		1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18	0.368 0.6813 35 58.5 58.124 0.376 0.370 0.6813 35 60.8 58.440 2.360 0.376 0.6813 35 59.5 59.338 0.112 0.376 0.6813 35 58.6 59.388 -0.778 0.374 0.6813 35 61.5 59.072 2.428 0.372 0.6813 35 60.5 58.756 1.744 0.368 0.6813 35 58.4 58.124 0.276 0.374 0.6813 35 59.0 59.072 -0.072 0.382 0.6813 35 60.8 60.336 0.464 0.342 0.6640 35 57.7 60.404 -2.704 0.344 0.6640 35 58.1 60.757 -2.657 0.352 0.6640 35 59.6 62.170 -2.570 0.358 0.6640 35 60.1 63.230 -3.130 0.362 0.6640 35 61.5 63.936 -2.436 0.344 0.6640 35 58.3 60.757 -2.457 0.412 0.6933 40 56.4 56.389 0.011 0.418 0.6933 40 55.7 56.488 -0.788 0.420 0.6933 40 57.5 57.484 0.016

As seen from Table 2: the mean difference of predicted value and measured value comparison is 0.4105 Mooney point, and the predicted value of difference in 2.5 Mooney points has 14, accounts for 77.78%; Difference has 3 within 2.5～3 Mooney points, account for 16.67%; Difference has 1 at 3～3.5 Mooney points, accounts for 5.56%; Standard-required is within ± 3 Mooney points, and as seen this predicted results can formally drop into utilization.

Embodiment 2: the foundation of elastomeric compound dispersion degree mathematical prediction model: (1) adopts system controlled by computer or supervising device, gather the related parameter that has of mixer mixing process: sizing material temperature K amounts to 78 batch samples when binder removal point instantaneous power P, mixing T.T. T, gross energy E, binder removal, and finds mixing rotating speed V, filling remainder FA and the dispersion degree FSD that records by national standard in the lump the input control device from control device; (2) get rid of exceptional value: because negative appears in the 38th sample, and dispersion degree is divided into 1 to 10 grade by standard, so think that these data are exceptional value, should leave out; (3) carry out correlation analysis: correlation matrix is as shown in table 3, because 78 batch samples of gathering, rotating speed is 60 rev/mins, so the influence of the rotating speed of the method consideration temporarily factor in this mathematics model.From table 3 related coefficient as seen, the correlativity between dispersion degree FSD and mixing gross energy E, T.T. T, the activity coefficient FA is bigger, and comparatively speaking, the correlativity between dispersion degree FSD and power and the temperature is then poorer.

Table 3: correlation matrix

Variable	FSD	E	T	K	P	FA
							FSD	1.000	-0.699	-0.520	-0.482	-0.415	-0.776
E	-0.699	1.000	0.621	0.718	0.491	0.844
							T	-0.520	0.621	1.000	0.001	-0.001	0.356
K	-0.482	0.718	0.001	1.000	0.676	0.751
							P	0.415	0.491	-0.100	0.676	1.000	0.692
FA	-0.775	0.844	0.356	0.751	0.692	1.000

(4) foundation of mathematical prediction model: to dispersion degree FSD, do linear regression, can obtain the result shown in following table table 4 with 5 independents variable such as above P, T, E, K, FA:

Table 4: dispersion degree regression model result

Sample size N=74	R＝0.8562 R 2=0.7332 adjusts back R=0.8447 R 2The standard error that=0.7135 F (5,68)=37.365 estimates: 0.6710
							The Beta value	The standard error of Beta value	Estimates of parameters B	The standard error of B value	T value (44)	P value level
	Cut square			66.3215	7.5648	8.7672							0.00000
E							0.3288	0.2264	0.1308	0.0901	1.4523	0.15101
	T	-0.3714	0.1483	-0.0378	0.0151	-2.5039							0.01468
K							-0.0900	0.1562	-0.0172	0.0298	-0.5762	0.56637
	P	0.0601	0.1013	2.8064	4.7338	0.5928							0.55526
FA							-0.9308	0.1447	-94.3048	14.6678	-6.4264	0.00000

As seen from Table 4, dispersion degree FSD and factor E, K, P are all not remarkable, and therefore, for the prediction of dispersion degree, this mathematics model is false; (5) revise the new independent variable of establishment, set up new mathematical model:, factor E and factor T are done to obtain new independent variable AP, AP=E/T with down conversion through relatively

With AP and FA is independent variable, does the curve regretional analysis, obtains result as shown in table 5 below:

Table 5: the dispersion degree regression model result after the conversion

Sample size N=74	R＝0.8534 R 2=0.7282 adjusts back R=0.8489 R 2The standard error that=0.7206 F (2,71)=95.118 estimates: 0.6627
							The Beta value	The standard error of Beta value	Estimates of parameters B	The standard error of B value	T value (44)	P value level
	Cut square			60.8380	4.1865	14.5319							0.00000
FA							-0.9641	0.7213	-97.7178	7.3102	-13.3673	0.00000
	AP	0.2853	0.7326	22.0627	5.5781	3.9553							0.00018

The gained regression equation is: $\mathrm{FSD}=60.838-97.7178\mathrm{FA}+22.0627\frac{E}{T}$

As seen from Table 5: the polynary coefficient of determination R that obtains after the recurrence ²=0.7282, F statistic and t statistic show that equation and regression coefficient are all very remarkable; (6) this mathematics model has passed through check, can drop into application.

Claims (2)

1, a kind of display that comprises, the viscosity and dispersity estimator for banburying mixer mixing rubber that printer is formed, it is characterized in that: it is by Industry Control machine enclosure (1), Industry Control level cpu motherboard (2), passive mother board (3), PC104 bus signals tablet (4), signal input conditioning plate (5), hard disk (6), disk drive controller (7), display (8) and printer (9) connect and compose jointly, its mutual alignment and annexation are: PC104 bus signals tablet (4) is installed on the Industry Control level cpu motherboard (2) by the PC104 bus hub, cpu motherboard (2) then is fixed on the passive mother board (3) by the isa bus slot, be electrically connected mutually with hard disk (6) and floppy disk (7) by flat signal cable again, signal input conditioning plate (5) is fixed on the passive mother board (3) by the isa bus slot, passive mother board (3) is fixed in the Industry Control machine enclosure (1): be plugged on cabinet back side expansion Output Display Unit socket by the corresponding respectively card of each above-mentioned plate, the printer socket, the analog quantity input socket is again by above-mentioned socket and display, printer and Banbury mixer main motor current transmitter, elastomeric compound sizing material glue temperature transmitter is electrically connected mutually; Its circuit is electrically connected jointly and is constituted by 24 way switch amount input isolation circuits, 24 way switch amounts output isolated drive circuit, 8 tunnel analog quantity input buffer circuits, 2 road V/F change-over circuits, and its interconnected relationship is: 24 way switch amount input isolation circuits are electrically connected mutually with industry spot switching value input circuit and PC104 bus tablet respectively; 24 way switch amounts output isolated drive circuit is electrically connected mutually with industry spot controlling object and PC104 bus signals tablet respectively, 8 tunnel analog quantity input buffer circuits divide other to be electrically connected mutually with industry spot simulated measurement input circuit, PC104 bus signals tablet, and 2 road V/F change-over circuits are electrically connected mutually with industry spot simulated measurement input circuit, PC104 bus signals tablet respectively.

2,, it is characterized in that described a certain way switch amount output isolated drive circuit is electrically connected jointly by resistance R 21～R23, photoelectric coupled device GDQ3, transistor T1～T2, diode D4, relay J 1 to constitute according to the described a kind of viscosity and dispersity estimator for banburying mixer mixing rubber that comprises that display, printer are formed of claim 1; A certain road analog quantity input buffer circuit is electrically connected jointly and is constituted by resistance R 1～R7, operational amplifier U1A, U2A, adjustable resistance RW1, two utmost point stabilivolt DW1～DW2; A certain road V/F change-over circuit is electrically connected jointly and is constituted by resistance R 8～R18, operational amplifier U3A～U4A, V/F switching device U5, adjustable resistance RW1～RW3, two utmost point stabilivolt DW3～DW4, diode D1～D3, capacitor C 1～C3, photoelectric coupled device GDQ1.

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