CN103640194A - Intelligent injection molding machine and injection molding method thereof - Google Patents

Abstract

The invention relates to an intelligent injection molding machine and an injection molding method thereof. The intelligent injection molding machine comprises an input unit, a logic operation unit, a storage unit, a detection unit and an executing unit, wherein the detection unit comprises a position sensor, a pressure sensor, a strain sensor and a temperature sensor; the logic operation unit acquires information of speed, pressure, temperature and strain in each moving process detected by the detection unit and carries out operation and comparison to generate curves of speed, pressure, temperature and strain; the logic operation unit generates a corrected multi-section grading injection-molding process according to the information and stores the corrected multi-section grading injection-molding process in the storage unit; the injection molding machine acts according to the corrected multi-section grading injection-molding process. The sectional injection process obtained by turning-point analysis has an accurate sectional effect, i.e., the sectional process conforms to the actual needs of product molding, so that the sectional injection process has the process characteristic of stable molding.

Description

A kind of Intelligent injection machine and injecting method thereof

Technical field

The present invention relates to a kind of injection machine, relate in particular to a kind of Intelligent injection machine that can automatically generate multistage processing technology.

Background technology

Injection machine of the prior art, all Shooting Techniques all will be set by technologist, then just can produce qualified product, if it is unreasonable that technique arranges, to cause product defects, meanwhile, outstanding not technique setting can also cause the unstable of production, the problems such as defect rate height, make troubles and lose to user.

Chinese patent < < servo motor control system of full-electric injection and method > >, publication number: CN10947840A, disclose a kind of full automatic control system for shot machine and method, it comprises injection machine computer controller, servomotor controller and plc controller; Described computer controller is connected with servomotor controller by CAN bus, and described servomotor controller is connected with servomotor, and described computer controller is connected with plc controller; Described servomotor controller refers to folding mould servomotor controller, injection servomotor controller, melten gel pressurize servomotor controller and ejects servomotor controller; Described servomotor refers to folding mould servomotor, injection servomotor, melten gel pressurize servomotor and ejects servomotor.The invention also discloses the control method of this control system, by the motor of electric injection molding machine being carried out to the control of folding mould, melten gel control, injection control, holding pressure control, eject control, penetrate platform and move and control and mode transfer is controlled, save time.

The control of this injection machine is controlled by many motors, and the control device of use is more, and the reliability when operation is not high, and the Shooting Technique of injection moulding overall process is not carried out accommodation according to the defect of moulding self, produces unstable.

In view of above-mentioned defect, creator of the present invention has obtained this creation finally through long research and practice.

Summary of the invention

The object of the present invention is to provide a kind of Intelligent injection machine and injecting method thereof, in order to overcome above-mentioned technological deficiency.

For achieving the above object, the invention provides a kind of Intelligent injection machine, it comprises an input block, an ALU, a memory cell, a detecting unit and a performance element, wherein,

Described input block, it inputs processing technology information and injection machine self parameter information by an EBI to described ALU;

Described detecting unit comprises a position sensor, a pressure sensor, a strain transducer and a temperature sensor, and above-mentioned each sensor transfers to the movable information of each self-monitoring parts in described ALU respectively;

Described ALU obtains speed, pressure, temperature and the strain information in each motion process that described detecting unit detects, go forward side by side row operation and contrast formation speed, pressure, temperature and strain curve, described ALU is according to the revised multistage classification of above-mentioned Information generation Shooting Technique, be stored in described memory cell, described injection machine is according to this revised multistage classification Shooting Technique action;

Described ALU, completes after time processing process at described injection machine, receives product defects information and the injection machine movable information of described input block, determines defect error adjustment threshold value z, generates injection machine pressure and rate curve; Set injection pressurize dislocation M _kfor base speed knee of curve A and basic pressure knee of curve B; Introduce respectively on this basis auxiliary function, and calculate actual pressure and rate curve in injection moulding process with the error amount of auxiliary function value, determine the amplitude of variation of described speed and pressure curve; Find out and be no more than the flex point that described maximum segment is counted N, determine error segments P hour _min; Whether determine in the injection stroke at each waypoint place in the injection stroke at injection machine, determine that the pressure at each waypoint place is whether in the scope of injection pressure; If injection stroke is in the injection stroke of injection machine, pressure, in the scope of injection pressure, determines that each flex point meets the requirements;

Whether the new technology curve that described ALU determine to generate and the correction value of virgin curve be in described defect error adjustment threshold value z; If within the scope of this, be defined as multistage multi-level injection technique; If not within the scope of this, redefine segmentation multipole injection molding process curve;

Described ALU to described memory cell, and carries out quadric injection mould by the injection technique profile memory generating, and the speed of biphasic injection gained and pressure curve are revised, and repeats said process, until draw optimum segmentation multipole injection molding technique.

Preferably, described ALU generates actual injection moulding speed curve f1 and pressure curve f2, and constructs auxiliary function f3 and f4, and this curve includes P (P<N) section straight line, respectively by M ₁～M _n+1location positioning;

When determining the error of actual speed curve f1 and broken line f3, according to following formula, calculate,

$\min \mathrm{Essv}=\underset{j=1}{\overset{P}{\mathrm{\&Sigma;}}}\underset{k=1}{\overset{[(M_{k+1}-M_k)/{\mathrm{\&Delta;s}}_k]}{\mathrm{\&Sigma;}}}{\left[(f_1\left({\mathrm{\&Delta;s}}_k\right)-f_3\left({\mathrm{\&Delta;s}}_k\right))\right]}^2---\left(1\right)$

In formula, f ₃(Δ s _k) according to following formula (2), calculate,

$f_3\left({\mathrm{\&Delta;s}}_k\right)=\frac{f_1\left(s_{k+1}\right)-f_1\left(s_k\right)}{s_{k+1}-s_k}*\left({\mathrm{\&Delta;s}}_k\right)+f_1\left(s_k\right)---\left(2\right)$

In above formula, min Essv represents the speed error value of the process curve in whole injection moulding process, and j represents j sampled point, and P represents the segments that injection machine is default, Δ s _kthe screw displacement that represents neighbouring sample point is poor, and k represents the number of samples of every section of straight line, M _k+1, M _kthe position that represents waypoint, f ₁(s _k) the upper s of expression curve f1 _kthe velocity magnitude at place.

Preferably, the error of described actual pressure curve f3 and broken line f4 judge formula as:

$\min \mathrm{Essp}=\underset{j=1}{\overset{P}{\mathrm{\&Sigma;}}}\underset{h=1}{\overset{[(M_{h+1}-M_h)/{\mathrm{\&Delta;s}}_h]}{\mathrm{\&Sigma;}}}{\left[(f_2\left({\mathrm{\&Delta;s}}_h\right)-f_4\left({\mathrm{\&Delta;s}}_h\right))\right]}^2---\left(3\right)$

In formula, f ₄(Δ s _h) by following formula (4), determined,

$f_4\left({\mathrm{\&Delta;s}}_h\right)=\frac{f_2\left(s_{h+1}\right)-f_2\left(s_k\right)}{s_{h+1}-s_h}*\left({\mathrm{\&Delta;s}}_h\right)+f_2\left(s_h\right)---\left(4\right)$

In formula, min Essp represents the pressure error value of the process curve in whole injection moulding process, and j represents j sampled point, and P represents the segments that injection machine is default, Δ s _hthe screw displacement that represents neighbouring sample point is poor, and h represents the number of samples of every section of straight line, M _h+1, M _hthe position that represents waypoint, f ₁(s _h) the upper s of expression curve f2 _hthe velocity magnitude at place.

Preferably, described position sensor is arranged on injection cylinder and piston rod, and on die cylinder and piston rod, it measures the positional information of above-mentioned each parts in real time;

Described pressure sensor is arranged in the oil-out of described oil pump and the injecting cavity of described injection cylinder, and it measures the pressure information of above-mentioned each parts in real time;

Described temperature sensor is arranged on described barrel and fuel tank, measures in real time its temperature information;

Described strain transducer is arranged on pull bar and tailgate, detects in real time its strain information.

Preferably, described injection machine comprises a controller of plastic injection molding, and it is by total line traffic control one servo-driver, and described servo-driver is controlled servomotor action.

The present invention also provides a kind of injection moulding process of Intelligent injection machine, and the Intelligent injection machine based on above-mentioned is realized, and its injection moulding process is:

Step a, operator inputs processing technology information and injection machine essential information by input block to logic and control module;

Step b, controller of plastic injection molding is controlled injection machine and is completed time processing process;

Step c, described ALU receives product defects information and the injection machine movable information of described input block, determines defect error adjustment threshold value z, generates injection machine pressure and rate curve;

Steps d, described ALU is revised Shooting Technique according to product defects information and injection machine pressure and rate curve;

Step e, described ALU is stored to the process curve of generation in described memory cell, and controls described control module and performance element according to new process curve quadric injection mould;

Step f, jumps to step c, and carries out in turn, until the multistage injection technique curve obtaining meets the requirements, determines optimum multipole injection molding process curve;

Makeover process in above-mentioned steps d is:

Steps d 1, sets injection pressurize dislocation M _kfor base speed knee of curve A and basic pressure knee of curve B;

Steps d 2, sets injection machine maximum segment and counts N;

Steps d 3, determines slope of curve amplitude of variation;

Steps d 4, finds out and is no more than the flex point that described maximum segment is counted N;

Steps d 5, the P drawing according to above-mentioned steps _min, whether determine in the injection stroke at each waypoint place in the injection stroke at injection machine, determine that the pressure at each waypoint place is whether in the scope of injection pressure; If these two all meet the demands, steps d 5; If there is one not meet the demands, jump to steps d 1, again make waypoint;

Steps d 6, finds out corner position, forms preliminary multistage multi-level injection process curve;

Steps d 7, whether the new technology curve determine generating and the correction value of virgin curve be in described defect error adjustment threshold value z; If within the scope of this, jump to steps d 8, be defined as multistage classification Shooting Technique; If not within the scope of this, jump to steps d 1, redefine segmentation multipole injection molding process curve;

Steps d 8, determines multistage classification Shooting Technique.

Preferably, in above-mentioned steps d3, determine that the process of slope of curve amplitude of variation is:

Steps d 31, described ALU generates actual injection moulding speed curve f1 and pressure curve f2;

Steps d 32, structure back-up curve f3 and f4; This curve includes P (P<N) section straight line, respectively by M ₁～M _n+1location positioning;

Steps d 33, judges respectively in P section straight line, the error of actual speed curve f1 and broken line f3, and the error amount of actual pressure curve f3 and broken line f4; Wherein, the error between actual speed curve f1 and any two adjacent sectional points of broken line f3 judge formula as:

$\min \mathrm{Essv}=\underset{j=1}{\overset{P}{\mathrm{\&Sigma;}}}\underset{k=1}{\overset{[(M_{k+1}-M_k)/{\mathrm{\&Delta;s}}_k]}{\mathrm{\&Sigma;}}}{\left[(f_1\left({\mathrm{\&Delta;s}}_k\right)-f_3\left({\mathrm{\&Delta;s}}_k\right))\right]}^2---\left(1\right)$

In formula, f ₃(Δ s _k) according to following formula (2), calculate,

$f_3\left({\mathrm{\&Delta;s}}_k\right)=\frac{f_1\left(s_{k+1}\right)-f_1\left(s_k\right)}{s_{k+1}-s_k}*\left({\mathrm{\&Delta;s}}_k\right)+f_1\left(s_k\right)---\left(2\right)$

In above formula, min Essv represents the speed error value of the process curve in whole injection moulding process, and j represents j sampled point, and P represents the segments that injection machine is default, Δ s _kthe screw displacement that represents neighbouring sample point is poor, and k represents the number of samples of every section of straight line, M _k+1, M _kthe position that represents waypoint, f ₁(s _k) the upper s of expression curve f1 _kthe velocity magnitude at place.

Preferably, the error of described actual pressure curve f3 and broken line f4 judge formula as:

$\min \mathrm{Essp}=\underset{j=1}{\overset{P}{\mathrm{\&Sigma;}}}\underset{h=1}{\overset{[(M_{h+1}-M_h)/{\mathrm{\&Delta;s}}_h]}{\mathrm{\&Sigma;}}}{\left[(f_2\left({\mathrm{\&Delta;s}}_h\right)-f_4\left({\mathrm{\&Delta;s}}_h\right))\right]}^2---\left(3\right)$

In formula, f ₄(Δ s _h) by following formula (4), determined,

$f_4\left({\mathrm{\&Delta;s}}_h\right)=\frac{f_2\left(s_{h+1}\right)-f_2\left(s_k\right)}{s_{h+1}-s_h}*\left({\mathrm{\&Delta;s}}_h\right)+f_2\left(s_h\right)---\left(4\right)$

In formula, min Essp represents the pressure error value of the process curve in whole injection moulding process, and j represents j sampled point, and P represents the segments that injection machine is default, Δ s _hthe screw displacement that represents neighbouring sample point is poor, and h represents the number of samples of every section of straight line, M _h+1, M _hthe position that represents waypoint, f ₁(s _h) the upper s of expression curve f2 _hthe velocity magnitude at place.

Preferably, between above-mentioned steps e and f, also comprise step e1, described Intelligent injection machine carries out trace analysis by position sensor to per injection action actual speed, and when the original initial setting value of speed deviations exceeds certain limit, described ALU carries out the fine setting of technological parameter.

Preferably, in above-mentioned steps d3, described ALU is put M by adjacent sectional ₁～M _n+1every section of curve between position is divided into certain umber, and every part of length is Δ s _k, every section of straight line is divided into [(M _k+1-M _k)/Δ s _k] part, actual curve and every part of sampled value of constructed fuction are carried out to square also summation of difference, finally by the value summation of all straightways, and find out minimum of a value.Determining of functional value on above-mentioned curve construction, adopts the initial value point value f of actual function ₁(s _k) determine with near the slope value this value.

Beneficial effect of the present invention is compared with prior art: in injection moulding of the present invention, pursue the forward position constant airspeed of melt mold filling, be the important evidence of injection quality and stability as far as possible, and stage injection technique is exactly to this target mean of access.By flex point analysis and injection speed point of inflexion on a curve that pressure curve in injection process is changed, analyze, use the methods such as neutral net, form a set of multi-level injection method, the stage injection technique drawing by this method, there is subsection efect more accurately, also more accurate to the judgement of pressurize switching point, divide segment process to meet formed product actual demand, therefore possessed the more stable process characteristic of moulding.

Injection machine in the present invention will produce moulding process automatically, automatically produce the technique of optimizing, and have good production stability, and intelligent injection machine, also by following the tracks of the variation of process environments, is revised production technology automatically simultaneously.

For guaranteeing accuracy and the adaptability of process curve correction, in memory cell, store error and adjust threshold value z, so that after carrying out technological parameter correction, process curve floats in foreseeable scope; In the present invention, determine basic flex point A and B, guarantee that parameter correction can have foundation accurately, more accurate to determining of pressurize switching point; In the present invention, introduce auxiliary function and determine error amount, in whole calculating process, error judgment has predefined sampled point, and injection machine deal with data is less, and operational paradigm is high; In slope computational process, only rely on the slope of each sample point and the position coordinates (abscissa) of two functions to carry out determining of functional value, and direct calculated difference; Calculating process is comparatively simple, samples easyly, saves program resource.

Accompanying drawing explanation

Fig. 1 is the functional block diagram of the control system of Intelligent injection machine of the present invention;

Fig. 2 is the structural representation of Intelligent injection machine system of the present invention;

Fig. 3 is the rate curve correction schematic diagram of Intelligent injection machine of the present invention;

Fig. 4 is the pressure curve correction schematic diagram of Intelligent injection machine of the present invention;

Fig. 5 is the flow chart of the injecting method of Intelligent injection machine of the present invention;

Fig. 6 is rate curve and the pressure curve correction flow chart of Intelligent injection machine of the present invention;

Fig. 7 is the flow chart of definite slope of curve amplitude of variation of Intelligent injection machine of the present invention.

The specific embodiment

Below in conjunction with accompanying drawing, to the present invention is above-mentioned, be described in more detail with other technical characterictic and advantage.

Refer to shown in Fig. 1, the functional block diagram of its control system that is Intelligent injection machine of the present invention, in the present invention, this control system comprises an input block 1, an ALU 2, a memory cell 6, an action control unit 3, a performance element 5 and a detecting unit 4, between described input block 1 and ALU 2, by EBI 11, carries out data transmission.

The essential information of the processing technology that described input block 1 is inputted needs by man-machine interface: material, weight, density, opening stroke, speed of moving mold input information is to this control system; Simultaneously, for the injection machine of each model, described input block 1 is also to self basic parameter of control system input injection machine: screw diameter, injection cylinder diameter, injection ram shank diameter, injection cylinder quantity, system oil pressure, injection stroke, Mode-locking oil cylinder diameter, Mode-locking oil cylinder stroke, shifting formwork stroke.

Product defects information after the product single injection-molded of described EBI 11 inputs of described ALU 2 reception and the injection machine movable information of described detecting unit 4 Real-time Collections, to the injection position in product injection technique, injection speed, injection pressure and inject time parameter revise, generate the multistage multi-level injection technique of corresponding each type product.

Injection machine in the present invention will produce moulding process automatically, automatically produce the technique of optimizing, and have good production stability, and intelligent injection machine, also by following the tracks of the variation of process environments, is revised production technology automatically simultaneously.

The product defects information that described ALU 2 receives comprises defect type and defect level information.Described injection machine movable information comprises speed, pressure, temperature and the strain information of injection machine in each motion process, and described ALU 2 carries out computing and contrast by above-mentioned information, the data and curves of formation speed, pressure, temperature and strain.Described ALU 2 is according to the revised multistage classification of above-mentioned Information generation Shooting Technique, and be stored in described memory cell 6, described memory cell 6 is sent to this information in described action control unit 3, described action control unit 3 is controlled described performance element 5 and is moved, and completes Shooting Technique.

In the present invention, for obtaining multistage multi-level injection technique, should carry out multiple injection process, constantly repeat above-mentioned process corrections process and information gathering process, finally generate qualified injection technique.Guarantee that injection technique is applied to produce after optimizing.

Meanwhile, in order further to realize the stable control of Shooting Technique, in injection moulding process, described ALU 2 also carries out technique fine setting.After determining multistage subsection injection technique, described detecting unit 4 is delivered to described ALU 2 by the injection machine movable information of Real-time Collection, after the data and curves of formation speed, pressure, temperature and strain, contrast with the threshold value setting in advance, if the variation of this curve has surpassed the control range of setting, 2 pairs of these techniques of described ALU are finely tuned.Described threshold value comprises the threshold value of speed, pressure, temperature and strain data, and it is stored in described memory cell 6.

Refer to shown in Fig. 2, it is for the structural representation of Intelligent injection machine system of the present invention, wherein, described detecting unit 4 comprises a position sensor 41, a pressure sensor 42, a strain transducer 43 and a temperature sensor 44, and above-mentioned each sensor transfers to the movable information of each self-monitoring parts in described ALU 2 respectively.Wherein, described position sensor 41 is arranged on injection cylinder and piston rod, and on die cylinder and piston rod, it measures the positional information of above-mentioned each parts in real time; Described pressure sensor 42 is arranged in the oil-out of described oil pump 51 and the injecting cavity of described injection cylinder, and it measures the pressure information of above-mentioned each parts in real time; Described temperature sensor 44 is arranged on described barrel and fuel tank, measures in real time its temperature information; Described strain transducer 43 is arranged on pull bar and tailgate, detects in real time its strain information.

Control section in the present invention is integrated in a controller of plastic injection molding 10, and it is by total line traffic control one servo-driver 50, and described servo-driver 50 is controlled servomotor 52 actions.

In addition, in the present invention, open mould assembling action, power source is at die cylinder, and die cylinder is done linear reciprocating motion, passes through linkage, pull template to move as linear reciprocation, in this course, owing to passing through after linkage, the movement velocity of cylinder movement speed and template is not proportional, form relative curve movement, be more conducive to machine operation demand.

Introduce in detail this injection machine control procedure below.

Refer to shown in Fig. 5 the flow chart of its injecting method that is Intelligent injection machine of the present invention.

Step a, operator inputs processing technology information and injection machine essential informations by described input block 1 to described logic and control module 2.

Step b, described controller of plastic injection molding 10 is controlled injection machine and is completed time processing process.This is processed for the first time and is generally exploratory processing, obtains actual speed, pressure curve, as the reference frame of subsequent correction.

Step c, described ALU 2 receives product defects information and the injection machine movable information of described input block 1, determines defect error adjustment threshold value z, generates injection machine pressure and rate curve.

In this step, described ALU 2, according to defect type y and the defect level x of input, is determined described defect error adjustment threshold value z, and the database that above-mentioned sunken error is adjusted threshold value is stored in described memory cell 6; And it is by defect type y and the definite empirical value of defect level x that above-mentioned defect error is adjusted threshold value z.For guaranteeing accuracy and the adaptability of process curve correction, in memory cell 6, store error and adjust threshold value z, so that after carrying out technological parameter correction, process curve floats in foreseeable scope.

Steps d, described ALU 2 is revised Shooting Technique according to product defects information and injection machine pressure and rate curve.

In the present invention, adopt the method for flex point analysis to determine flex point, according to the position of flex point, form the injection technique of multistage classification.

Refer to shown in Fig. 3 and 4, it is rate curve and pressure curve correction schematic diagram in injection machine of the present invention, and it is injection moulding position and speed, the graph of a relation of injection moulding position and pressure; And in conjunction with shown in Fig. 6, it is the rate curve of Intelligent injection machine of the present invention and pressure curve correction flow chart.

Steps d 1, sets injection pressurize dislocation M _kfor base speed knee of curve A and basic pressure knee of curve B.In the present invention, determine basic flex point, guarantee that parameter correction can have foundation accurately, more accurate to determining of pressurize switching point.

Steps d 2, sets injection machine maximum segment and counts N; This maximum segment number is determined by the characteristic of injection machine itself.Actual pressure and the segments of rate curve can not surpass this numerical value, otherwise, will affect the stability of injection machine work.

Steps d 3, determines slope of curve amplitude of variation.

In this process, by introducing auxiliary function, and calculate actual pressure and rate curve in injection moulding process with the error amount of auxiliary function value, with this, carry out the slope variation of Detection curve.In the present invention, introduce auxiliary function and determine error amount, in whole calculating process, error judgment has predefined sampled point, and injection machine deal with data is less, and operational paradigm is high.

Refer to shown in Fig. 7, the flow chart of its definite slope of curve amplitude of variation that is Intelligent injection machine of the present invention, detailed process is:

Steps d 31, described ALU 2 generates actual injection moulding speed curve f1 and pressure curve f2;

Steps d 32, structure back-up curve f3 and f4; This curve includes P (P<N) section straight line, respectively by M ₁～M _n+1location positioning;

Steps d 33, judges respectively in P section straight line, the error of actual speed curve f1 and broken line f3, and the error amount of actual pressure curve f3 and broken line f4;

Wherein, the error between actual speed curve f1 and any two adjacent sectional points of broken line f3 judge formula as:

$\min \mathrm{Essv}=\underset{j=1}{\overset{P}{\mathrm{\&Sigma;}}}\underset{k=1}{\overset{[(M_{k+1}-M_k)/{\mathrm{\&Delta;s}}_k]}{\mathrm{\&Sigma;}}}{\left[(f_1\left({\mathrm{\&Delta;s}}_k\right)-f_3\left({\mathrm{\&Delta;s}}_k\right))\right]}^2---\left(1\right)$

In formula, f ₃(Δ s _k) according to following formula (2), calculate,

$f_3\left({\mathrm{\&Delta;s}}_k\right)=\frac{f_1\left(s_{k+1}\right)-f_1\left(s_k\right)}{s_{k+1}-s_k}*\left({\mathrm{\&Delta;s}}_k\right)+f_1\left(s_k\right)---\left(2\right)$

In above formula, min Essv represents the speed error value of the process curve in whole injection moulding process, and j represents j sampled point, and P represents the segments that injection machine is default, Δ s _kthe screw displacement that represents neighbouring sample point is poor, and k represents the number of samples of every section of straight line, M _k+1, M _kthe position that represents waypoint, f ₁(s _k) the upper s of expression curve f1 _kthe velocity magnitude at place.

Its basic ideas are that adjacent sectional is put to M ₁-M _n+1every section of curve between position is divided into certain umber, and every part of length is Δ s _k, every section of straight line is divided into [(M _k+1-M _k)/Δ s _k] part, actual curve and every part of sampled value of constructed fuction are carried out to square also summation of difference, finally by the value summation of all straightways, and find out minimum of a value.Determining of functional value on above-mentioned curve construction, adopts the initial value point value f of actual function ₁(s _k) determine with near the slope value this value.

Above-mentioned computational methods, only rely on the slope of each sample point and the position coordinates (abscissa) of two functions to carry out determining of functional value, and direct calculated difference; Calculating process is comparatively simple, samples easyly, saves program resource.

Wherein, the error of described actual pressure curve f3 and broken line f4 judge formula as:

$\min \mathrm{Essp}=\underset{j=1}{\overset{P}{\mathrm{\&Sigma;}}}\underset{h=1}{\overset{[(M_{h+1}-M_h)/{\mathrm{\&Delta;s}}_h]}{\mathrm{\&Sigma;}}}{\left[(f_2\left({\mathrm{\&Delta;s}}_h\right)-f_4\left({\mathrm{\&Delta;s}}_h\right))\right]}^2---\left(3\right)$

In formula, f ₄(Δ s _h) by following formula (4), determined,

$f_4\left({\mathrm{\&Delta;s}}_h\right)=\frac{f_2\left(s_{h+1}\right)-f_2\left(s_k\right)}{s_{h+1}-s_h}*\left({\mathrm{\&Delta;s}}_h\right)+f_2\left(s_h\right)---\left(4\right)$

In formula, min Essp represents the pressure error value of the process curve in whole injection moulding process, and j represents j sampled point, and P represents the segments that injection machine is default, Δ s _hthe screw displacement that represents neighbouring sample point is poor, and h represents the number of samples of every section of straight line, M _h+1, M _hthe position that represents waypoint, f ₁(s _h) the upper s of expression curve f2 _hthe velocity magnitude at place.

Steps d 4, finds out and is no more than the flex point that described maximum segment is counted N.

In this step, described ALU 2 is that the error of calculation is carried out respectively in each segmentation of 1-N by segments, and the Essv while drawing injection speed and injection pressure Essp, relatively draw the segments P that error minimum of a value is corresponding _min.

In the present invention, injection speed and injection pressure are carried out respectively to flex point analysis and definite segments, and pressure and velocity information are of paramount importance parameter in Shooting Technique, both combine and just can carry out process corrections and adjustment accurately.

Steps d 5, the P drawing according to above-mentioned steps _min, whether determine in the injection stroke at each waypoint place in the injection stroke at injection machine, determine that the pressure at each waypoint place is whether in the scope of injection pressure.

If these two all meet the demands, steps d 5; If there is one not meet the demands, jump to steps d 1, again make waypoint.

Steps d 6, finds out corner position, forms preliminary multistage multi-level injection process curve.

Above-mentioned final definite waypoint P is definite point of inflexion on a curve, and the preliminary segmentation multi-level injection process curve of formation comprises above-mentioned each flex point.

Steps d 7, whether the new technology curve determine generating and the correction value of virgin curve be in described defect error adjustment threshold value z; If within the scope of this, jump to steps d 8, be defined as multistage classification Shooting Technique; If not within the scope of this, jump to steps d 1, redefine segmentation multipole injection molding process curve.

Steps d 8, determines multistage classification Shooting Technique.

Step e, described ALU 2 is stored to the process curve of generation in described memory cell 6, and controls described control module 3 and performance element 4 according to new process curve quadric injection mould;

Step f, jumps to step c, and carries out in turn, until the multistage injection technique curve obtaining meets the requirements, determines optimum multipole injection molding process curve.

In addition, in order to guarantee dynamic adjustable feature and the stability of Shooting Technique, between above-mentioned steps e and f, also comprise step e1, described Intelligent injection machine carries out trace analysis by 41 pairs of per injection action actual speeds of position sensor, when the original initial setting value of speed deviations exceeds certain limit, described ALU 2 carries out the fine setting of technological parameter.

Control procedure in the present invention, can solve the manufacturing deficiency that kinds of processes is relevant.

If product is to lack material phenomenon, plot is slight, lacks material phenomenon and belongs to the problem that actual injection weight does not reach, and by known machine parameter, can calculate:

Weight=volume * density, volume=actual injection position * screw rod sectional area, squares * 3.1415 of screw rod sectional area=screw rod radius.

First system compares actual injection position data, if do not reach desired location, system will be revised injection technological parameter by improving the modes such as injection pressure and speed, if actual injection position data has reached setting data, system will be carried out technique adjustment by strengthening injection position parameter so.

Other a lot of defects, as: overlap, be full of cracks, burns, and lustrous surface is bad, and depressions etc. are all relevant with pressure with filling velocity, only have the melt front flow velocity of filling mould to keep stable, can improve preferably defect, improve stability.Realize this goal, need to have the injection technique of multistage subsection to improve.

In injection moulding of the present invention, pursue the forward position constant airspeed of melt mold filling, be the important evidence of injection quality and stability as far as possible, and stage injection technique is exactly to this target mean of access.By flex point analysis and injection speed point of inflexion on a curve that pressure curve in injection process is changed, analyze, use the methods such as neutral net, form a set of multi-level injection method, the stage injection technique drawing by this method, there is subsection efect more accurately, also more accurate to the judgement of pressurize switching point, divide segment process to meet formed product actual demand, therefore possessed the more stable process characteristic of moulding.

The foregoing is only preferred embodiment of the present invention, is only illustrative for invention, and nonrestrictive.Those skilled in the art is understood, and in the spirit and scope that limit, can carry out many changes to it in invention claim, revise, and even equivalence, but all will fall within the scope of protection of the present invention.

Claims (10)

1. an Intelligent injection machine, is characterized in that, it comprises an input block, an ALU, a memory cell, a detecting unit and a performance element, wherein,

Described input block, it inputs processing technology information and injection machine self parameter information by an EBI to described ALU;

Described detecting unit comprises a position sensor, a pressure sensor, a strain transducer and a temperature sensor, and above-mentioned each sensor transfers to the movable information of each self-monitoring parts in described ALU respectively;

Described ALU obtains speed, pressure, temperature and the strain information in each motion process that described detecting unit detects, go forward side by side row operation and contrast formation speed, pressure, temperature and strain curve, described ALU is according to the revised multistage classification of above-mentioned Information generation Shooting Technique, be stored in described memory cell, described injection machine is according to this revised multistage classification Shooting Technique action;

Described ALU, completes after time processing process at described injection machine, receives product defects information and the injection machine movable information of described input block, determines defect error adjustment threshold value z, generates injection machine pressure and rate curve; Set injection pressurize dislocation M _kfor base speed knee of curve A and basic pressure knee of curve B; Introduce respectively on this basis auxiliary function, and calculate actual pressure and rate curve in injection moulding process with the error amount of auxiliary function value, determine the amplitude of variation of described speed and pressure curve; Find out and be no more than the flex point that described maximum segment is counted N, determine error segments P hour _min; Whether determine in the injection stroke at each waypoint place in the injection stroke at injection machine, determine that the pressure at each waypoint place is whether in the scope of injection pressure; If injection stroke is in the injection stroke of injection machine, pressure, in the scope of injection pressure, determines that each flex point meets the requirements;

Whether the new technology curve that described ALU determine to generate and the correction value of virgin curve be in described defect error adjustment threshold value z; If within the scope of this, be defined as multistage multi-level injection technique; If not within the scope of this, redefine segmentation multipole injection molding process curve;

Described ALU to described memory cell, and carries out quadric injection mould by the injection technique profile memory generating, and the speed of biphasic injection gained and pressure curve are revised, and repeats said process, until draw optimum segmentation multipole injection molding technique.

2. Intelligent injection machine according to claim 1, it is characterized in that, described ALU 2 generates actual injection moulding speed curve f1 and pressure curve f2, and constructs auxiliary function f3 and f4, this curve includes P (P<N) section straight line, respectively by M ₁～M _n+1location positioning;

When determining the error of actual speed curve f1 and broken line f3, according to following formula, calculate,

$\min \mathrm{Essv}=\underset{j=1}{\overset{P}{\mathrm{\&Sigma;}}}\underset{k=1}{\overset{[(M_{k+1}-M_k)/{\mathrm{\&Delta;s}}_k]}{\mathrm{\&Sigma;}}}{\left[(f_1\left({\mathrm{\&Delta;s}}_k\right)-f_3\left({\mathrm{\&Delta;s}}_k\right))\right]}^2---\left(1\right)$

In formula, f ₃(Δ s _k) according to following formula (2), calculate,

$f_3\left({\mathrm{\&Delta;s}}_k\right)=\frac{f_1\left(s_{k+1}\right)-f_1\left(s_k\right)}{s_{k+1}-s_k}*\left({\mathrm{\&Delta;s}}_k\right)+f_1\left(s_k\right)---\left(2\right)$

In above formula, min Essv represents the speed error value of the process curve in whole injection moulding process, and j represents j sampled point, and P represents the segments that injection machine is default, Δ s _kthe screw displacement that represents neighbouring sample point is poor, and k represents the number of samples of every section of straight line, M _k+1, M _kthe position that represents waypoint, f ₁(s _k) the upper s of expression curve f1 _kthe velocity magnitude at place.

3. Intelligent injection machine according to claim 1, is characterized in that, the error of described actual pressure curve f3 and broken line f4 judge formula as:

$\min \mathrm{Essp}=\underset{j=1}{\overset{P}{\mathrm{\&Sigma;}}}\underset{h=1}{\overset{[(M_{h+1}-M_h)/{\mathrm{\&Delta;s}}_h]}{\mathrm{\&Sigma;}}}{\left[(f_2\left({\mathrm{\&Delta;s}}_h\right)-f_4\left({\mathrm{\&Delta;s}}_h\right))\right]}^2---\left(3\right)$

In formula, f ₄(Δ s _h) by following formula (4), determined,

$f_4\left({\mathrm{\&Delta;s}}_h\right)=\frac{f_2\left(s_{h+1}\right)-f_2\left(s_k\right)}{s_{h+1}-s_h}*\left({\mathrm{\&Delta;s}}_h\right)+f_2\left(s_h\right)---\left(4\right)$

In formula, min Essp represents the pressure error value of the process curve in whole injection moulding process, and j represents j sampled point, and P represents the segments that injection machine is default, Δ s _hthe screw displacement that represents neighbouring sample point is poor, and h represents the number of samples of every section of straight line, M _h+1, M _hthe position that represents waypoint, f ₁(s _h) the upper s of expression curve f2 _hthe velocity magnitude at place.

4. Intelligent injection machine according to claim 3, is characterized in that, described position sensor is arranged on injection cylinder and piston rod, and on die cylinder and piston rod, it measures the positional information of above-mentioned each parts in real time;

Described pressure sensor is arranged in the oil-out of described oil pump and the injecting cavity of described injection cylinder, and it measures the pressure information of above-mentioned each parts in real time;

Described temperature sensor is arranged on described barrel and fuel tank, measures in real time its temperature information;

Described strain transducer is arranged on pull bar and tailgate, detects in real time its strain information.

5. Intelligent injection machine according to claim 3, is characterized in that, described injection machine comprises a controller of plastic injection molding, and it is by total line traffic control one servo-driver, and described servo-driver is controlled servomotor action.

6. an injection moulding process for Intelligent injection machine, the Intelligent injection machine based on the claims 1 is realized, and it is characterized in that, and its injection moulding process is:

Step a, operator inputs processing technology information and injection machine essential information by input block to logic and control module;

Step b, controller of plastic injection molding is controlled injection machine and is completed time processing process;

Step c, described ALU receives product defects information and the injection machine movable information of described input block, determines defect error adjustment threshold value z, generates injection machine pressure and rate curve;

Steps d, described ALU is revised Shooting Technique according to product defects information and injection machine pressure and rate curve;

Step e, described ALU is stored to the process curve of generation in described memory cell, and controls described control module and performance element according to new process curve quadric injection mould;

Step f, jumps to step c, and carries out in turn, until the multistage injection technique curve obtaining meets the requirements, determines optimum multipole injection molding process curve;

Makeover process in above-mentioned steps d is:

Steps d 1, sets injection pressurize dislocation M _kfor base speed knee of curve A and basic pressure knee of curve B;

Steps d 2, sets injection machine maximum segment and counts N;

Steps d 3, determines slope of curve amplitude of variation;

Steps d 4, finds out and is no more than the flex point that described maximum segment is counted N;

Steps d 5, the P drawing according to above-mentioned steps _min, whether determine in the injection stroke at each waypoint place in the injection stroke at injection machine, determine that the pressure at each waypoint place is whether in the scope of injection pressure; If these two all meet the demands, steps d 5; If there is one not meet the demands, jump to steps d 1, again make waypoint;

Steps d 6, finds out corner position, forms preliminary multistage multi-level injection process curve;

Steps d 7, whether the new technology curve determine generating and the correction value of virgin curve be in described defect error adjustment threshold value z; If within the scope of this, jump to steps d 8, be defined as multistage classification Shooting Technique; If not within the scope of this, jump to steps d 1, redefine segmentation multipole injection molding process curve;

Steps d 8, determines multistage classification Shooting Technique.

7. the injection moulding process of Intelligent injection machine according to claim 6, is characterized in that, in above-mentioned steps d3, determines that the process of slope of curve amplitude of variation is:

Steps d 31, described ALU generates actual injection moulding speed curve f1 and pressure curve f2;

Steps d 32, structure back-up curve f3 and f4; This curve includes P (P<N) section straight line, respectively by M ₁～M _n+1location positioning;

Steps d 33, judges respectively in P section straight line, the error of actual speed curve f1 and broken line f3, and the error amount of actual pressure curve f3 and broken line f4; Wherein, the error between actual speed curve f1 and any two adjacent sectional points of broken line f3 judge formula as:

$\min \mathrm{Essv}=\underset{j=1}{\overset{P}{\mathrm{\&Sigma;}}}\underset{k=1}{\overset{[(M_{k+1}-M_k)/{\mathrm{\&Delta;s}}_k]}{\mathrm{\&Sigma;}}}{\left[(f_1\left({\mathrm{\&Delta;s}}_k\right)-f_3\left({\mathrm{\&Delta;s}}_k\right))\right]}^2---\left(1\right)$

In formula, f ₃(Δ s _k) according to following formula (2), calculate,

$f_3\left({\mathrm{\&Delta;s}}_k\right)=\frac{f_1\left(s_{k+1}\right)-f_1\left(s_k\right)}{s_{k+1}-s_k}*\left({\mathrm{\&Delta;s}}_k\right)+f_1\left(s_k\right)---\left(2\right)$

In above formula, min Essv represents the speed error value of the process curve in whole injection moulding process, and j represents j sampled point, and P represents the segments that injection machine is default, Δ s _kthe screw displacement that represents neighbouring sample point is poor, and k represents the number of samples of every section of straight line, M _k+1, M _kthe position that represents waypoint, f ₁(s _k) the upper s of expression curve f1 _kthe velocity magnitude at place.

8. the injection moulding process of Intelligent injection machine according to claim 7, is characterized in that, the error of described actual pressure curve f3 and broken line f4 judge formula as:

$\min \mathrm{Essp}=\underset{j=1}{\overset{P}{\mathrm{\&Sigma;}}}\underset{h=1}{\overset{[(M_{h+1}-M_h)/{\mathrm{\&Delta;s}}_h]}{\mathrm{\&Sigma;}}}{\left[(f_2\left({\mathrm{\&Delta;s}}_h\right)-f_4\left({\mathrm{\&Delta;s}}_h\right))\right]}^2---\left(3\right)$

In formula, f ₄(Δ s _h) by following formula (4), determined,

$f_4\left({\mathrm{\&Delta;s}}_h\right)=\frac{f_2\left(s_{h+1}\right)-f_2\left(s_k\right)}{s_{h+1}-s_h}*\left({\mathrm{\&Delta;s}}_h\right)+f_2\left(s_h\right)---\left(4\right)$

In formula, min Essp represents the pressure error value of the process curve in whole injection moulding process, and j represents j sampled point, and P represents the segments that injection machine is default, Δ s _hthe screw displacement that represents neighbouring sample point is poor, and h represents the number of samples of every section of straight line, M _h+1, M _hthe position that represents waypoint, f ₁(s _h) the upper s of expression curve f2 _hthe velocity magnitude at place.

9. the injection moulding process of Intelligent injection machine according to claim 8, it is characterized in that, between above-mentioned steps e and f, also comprise step e1, described Intelligent injection machine carries out trace analysis by position sensor to per injection action actual speed, when the original initial setting value of speed deviations exceeds certain limit, described ALU carries out the fine setting of technological parameter.

10. the injection moulding process of Intelligent injection machine according to claim 7, is characterized in that, in above-mentioned steps d3, described ALU is put M by adjacent sectional ₁～M _n+1every section of curve between position is divided into certain umber, and every part of length is Δ s _k, every section of straight line is divided into [(M _k+1-M _k)/Δ s _k] part, actual curve and every part of sampled value of constructed fuction are carried out to square also summation of difference, finally by the value summation of all straightways, and find out minimum of a value.Determining of functional value on above-mentioned curve construction, adopts the initial value point value f of actual function ₁(s _k) determine with near the slope value this value.

Images