CN201179724Y - Intelligentized control system for wall thickness of extrusion-blow molding product - Google Patents
Intelligentized control system for wall thickness of extrusion-blow molding product Download PDFInfo
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- CN201179724Y CN201179724Y CNU2007200583829U CN200720058382U CN201179724Y CN 201179724 Y CN201179724 Y CN 201179724Y CN U2007200583829 U CNU2007200583829 U CN U2007200583829U CN 200720058382 U CN200720058382 U CN 200720058382U CN 201179724 Y CN201179724 Y CN 201179724Y
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Abstract
The utility model provides an intelligent control system for the thickness of extrusion blow-molded product wall, which comprises a die product wall thickness ultrasonic on-line detection module, an industrial control processing module and a die orifice clearance control module; the die product wall thickness ultrasonic on-line detection module is connected with the industrial control processing module; and the industrial control processing module is connected with the die orifice clearance control module. The intelligent control system can realize the on-line and real-time control to the thickness of blow-molded product wall, thereby improving the performance of the blow-molded product and reducing material consumption and production cost.
Description
Technical field
The utility model relates to the control technology of plastics extrusion blow molding product wall thickness, particularly a kind of extrusion-blow molding product wall thickness intelligentized control system.
Background technology
The plastics blow molding product wall thickness is crossed conference and is caused the overweight and unnecessary waste of material of goods, and reduces production efficiency; The too small goods mechanical property that then can cause of wall thickness can not satisfy designing requirement.Therefore, need control the blow-molded article wall thickness.At present, adopt the method that the system of parison wall thickness cyclelog is installed on extrusion blow molding machine to realize control in the industrial production to the blow-molded article wall thickness.The system of parison wall thickness cyclelog moves up and down with change head die orifice gap length a head plug or a mouthful mould by electrohydraulic servo system, thereby the blow-molded article Thickness Distribution is met the demands.Yet this technology exists the deficiency of two aspects.At first, be difficult to set suitable initial head die gap curve.Operating personnel can only rely on the personal experience to set a suitable relatively head die gap curve, and then, the debugging of carrying out repeatedly makes the blow-molded article wall thickness to meet the demands.Complex operation and consuming time needs to consume great deal of raw materials in debug process like this, along with the raising of goods complexity, only relies on operating personnel's experience to be difficult to obtain rational product wall thickness distribution.Secondly, existing various inner parameters in the blowing process of reality inevitably changes and external disturbance, variation as supply voltage, melt temperature, hydraulic system etc. causes the fluctuation in head gap, cause actual wall thickness of goods and target wall thickness to have bigger deviation, the result causes that the product percent defective is higher, the unsettled phenomenon of quality.
Can adopt ultrasonic measuring device to detect the wall thickness of blow-molded article, specifically: at first coat couplant at detected blow-molded article outer surface, then ultrasonic probe is directly contacted with this surface, calculate its wall thickness by the time difference that obtains ultrasonic wave echo on two surfaces inside and outside the blow-molded article wall.The method of ultrasound examination product wall thickness generally is applied to blow-molded article is operated, to reject the underproof goods of wall thickness, its testing result but does not see that at present the wall thickness that utilizes the ultrasound examination goods in real time is open to the technology that it carries out FEEDBACK CONTROL more accurately and reliably.
In summary, existing blow-molded article wall thickness control technology can not satisfy the specification requirement that product wall thickness is carried out fast, accurately controls.
The utility model content
The purpose of this utility model is to overcome the shortcoming of existing blow-molded article wall thickness control technology, a kind of energy optimal control parameter is provided, product wall thickness is carried out Based Intelligent Control, guarantee product quality, make and produce the extrusion-blow molding product wall thickness intelligentized control system stable, that product percent of pass is high.
The purpose of this utility model is achieved through the following technical solutions: a kind of extrusion-blow molding product wall thickness intelligentized control system, comprise the online detection module of product wall thickness ultrasonic wave, industry control processing module, die gap control module in the mould, the online detection module of product wall thickness ultrasonic wave is connected with the industry control processing module in the described mould, and described industry control processing module is connected with the die gap control module.
The online detection module of product wall thickness ultrasonic wave comprises ultrasonic probe, ultrasound examination card in the described mould, and described ultrasonic probe is connected with the ultrasound examination card.
Described ultrasonic probe is connected with supersonic delay line, and ultrasonic probe and supersonic delay line all are installed in the blow mold.Cross for fear of the blow pressure of parison and to act on greatly on the ultrasonic probe end face, supersonic delay line is provided with screw thread, and by being threaded onto on the relevant detection position, blow pressure only acts on the delay line like this, the service life that helps guaranteeing the precision of ultrasound examination and can prolong ultrasonic probe.
Coat couplant between described ultrasonic probe and the supersonic delay line, during installation supersonic delay line is stretched out die cavity, and around supersonic delay line, bore the steam vent of some, so that parison is adjacent to the supersonic delay line end face under the effect of blow pressure, realize both good coupling.
Described industry control processing module comprises industrial computer, Programmable Logic Controller, output port, and described Programmable Logic Controller is connected with industrial computer by output port, and described industrial computer also is connected with other external equipment (as: display) by output port.
Described die gap control module comprises system of parison wall thickness control panel, servo valve and hydraulic system, and described system of parison wall thickness control panel is connected with servo valve, and described servo valve is connected with hydraulic system.
A kind of control method of utilizing above-mentioned extrusion-blow molding product wall thickness intelligentized control system to realize comprises the steps:
(1) sets up the Mathematical Modeling that extrusion-blow molding product wall thickness is optimized, find the solution and obtain optimum head die gap curve.Difference according to finite element method, can directly obtain optimum head die gap curve, also can obtain optimum system of parison wall thickness distribution curve by round-about way, obtain optimum head die gap curve according to head die gap and system of parison wall thickness relation function again, and this functional relation mainly is to obtain by experiment.
(2) the optimum head die gap curve with gained in the step (1) is input to the industry control processing module as initial value, and regulates the die gap control module by the industry control processing module, and the head die gap is controlled, and carries out primary blow molding operation.
(3) in the blowing process, the online detection module of product wall thickness ultrasonic wave obtains the wall thickness of blow-molded article automatically in the mould, then the product wall thickness feedback information that is obtained is stored to the industry control processing module.
(4) difference degree of the product wall thickness distribution curve of analyzing and testing and target wall thickness profile, and the fuzzy Iterative Learning Control Algorithm of startup obtains revised head die gap curve, revised head die gap curve is input to industry control processing module and die gap control module, adjusting head die gap carries out blow molding operation next time, so circulation meets the demands up to the product wall thickness that is obtained.
Described step (1) is specially: to a blow-molded article that has particular wall thickness to require, according to its Thickness Distribution data and corresponding die parameters, adopt finite element method that the blowing process of goods is simulated, utilize analog result set up that system of parison wall thickness distributes and the optimization aim functional value between neural network model, ideal adaptation degree value finds the solution in real time in the realization optimization iterative process, in conjunction with paralleling genetic algorithm based on the real coding technology, set up the Mathematical Modeling that extrusion-blow molding product wall thickness is optimized, and model found the solution, obtain optimum initial head die gap curve.
In the described step (3), the inflation parison also begins to detect ultrasonic echo time of relevant position when making it be adjacent to delay line end face 0.5～1s.Because temperature is bigger to the influence of ultrasonic velocity, therefore, adopt each sense channel method of correction separately, be as the criterion with the relevant position wall thickness behind the goods cooling 24h and proofread and correct the ultrasonic velocity of each passage, then by calculating the product wall thickness that obtains each passage.
In the described step (4), the method for so-called fuzzy iterative learning control is on the basis of iterative learning control, increases a fuzzy control link.The main thought of setting up fuzzy control rule is as follows: if wall thickness deflection is positive, and the trend of increase is arranged, wall thickness change is for negative big so; If wall thickness deflection just is, and the trend that reduces is arranged, wall thickness change is for negative little so; If wall thickness deflection is negative, and the trend of increase is arranged, wall thickness change is honest so; If wall thickness deflection is negative, and the trend that reduces is arranged, wall thickness change is for just little so.
Action principle of the present utility model is: when needing blowing that the goods of particular wall thickness requirement are arranged, the former initial head die gap curve of producing these goods that there is no, only need target wall thickness distributed data and corresponding die parameters to this intelligent control system input blow-molded article, system will adopt finite element method that the blowing process of goods is simulated, utilize the result of finite element modelling to set up that system of parison wall thickness distributes and the optimization aim functional value between neural network model, ideal adaptation degree value finds the solution in real time in the realization optimization iterative process, in conjunction with paralleling genetic algorithm based on the real coding technology, set up the Mathematical Modeling that extrusion-blow molding product wall thickness is optimized, and model found the solution, obtain optimum initial head die gap curve.When the target wall thickness changed, this intelligent control system automatically takes out related parameter, and the initial head gap curve of the blow-molded article of this target Thickness Distribution is carried out Automatic Optimal, obtained new initial head gap curve.Adopt the head die gap curve that optimization method obtained, can overcome the shortcoming that the experience that can only rely on operating personnel obtains corresponding data, these shortcomings mainly comprise: labor intensive, material resources inevitably, make the production cycle long, production efficiency is low, and the gained result also depends on operating personnel's experience, along with the blow-molded article complexity with to the raising of blow-molded article performance requirement, the control technology of this operating personnel's of depending on experience can't satisfy the requirement of modern blowing industry.Because the head die gap curve that the utility model obtained and the optimal curve of actual needs are very approaching, therefore, can shorten the time of system's predetermined wall thickness branch cloth products from beginning to obtaining greatly, realize the intellectuality control of whole blowing process.
In the blowing production process of reality, existing various inner parameters inevitably changes and external disturbance, variation as supply voltage, melt temperature, hydraulic system etc. causes the fluctuation in head gap, make actual wall thickness of goods and target wall thickness have bigger deviation, this moment must corresponding adjusting head gap variation of the blow-molded article wall thickness of appearance because disturb to remedy in actual production process.From adjustment process, be the height non-linear relation between control variables (die gap change curve) and the control target (product wall thickness distribution), it is a kind of non-linear, strongly coupled system, therefore, adopting conventional control method effect is not fine sometimes, the utility model adopts the method for fuzzy iterative learning control, iterative learning control is combined with fuzzy control, give full play to both advantages, quicken the speed of iterative learning, avoided the slow shortcoming of traditional Iterative Learning Control Algorithm convergence rate effectively.
The utility model has following advantage and effect with respect to prior art:
(1) measures feedback regulation control in real time, enhance product performance and reduce material consumption.The utility model carries out intelligent control to the blowing process can overcome product wall thickness deviation because of various inner parameters change and external disturbance causes.By the blow-molded article wall thickness is carried out online detection, and the control algolithm of combined with intelligentization, head die gap curve is carried out feedback regulation control, the blow-molded article wall thickness is come back in the predetermined claimed range.Therefore, utilize the utility model can enhance product performance, reduce material consumption, reduce percent defective.
(2) utilize the utility model that the blow-molded article wall thickness is carried out online detection, can guarantee that properties of product are stable.In the blowing production process, traditional method of quality control is to adopt test check, and a certain amount of goods of promptly every production select one or several goods to carry out the wall thickness detection.This method is based on the sample examination method of probability theory, therefore, exists omission inevitably.The utility model carries out online detection to the blow-molded article wall thickness, can realize 100% check to product quality.The wall thickness data of online detection can be used for control of product quality, with quality, the assurance uniformity in product performance of improving product.
(3) the utility model is simple to operate, realization is easy, cost is lower, can be conveniently used in existing blow moulding equipment is undergone technological transformation, and significantly improves the performance and the qualification rate of blow molded product.
Description of drawings
Fig. 1 is the structural representation of the utility model extrusion-blow molding product wall thickness intelligentized control system.
Fig. 2 a is the scheme of installation of ultrasonic probe in blow mold in the system shown in Figure 1.
Fig. 2 b is the A partial view among Fig. 2 a.
Fig. 3 is the master control program flow chart of the utility model method.
Fig. 4 is the schematic diagram of the fuzzy iterative learning control in the utility model method.
Fig. 5 a is the curvilinear motion of initial head die gap and corresponding blow-molded article Thickness Distribution when being even of goods target wall thickness.
Fig. 5 b is the curvilinear motion of head die gap and corresponding blow-molded article Thickness Distribution after the iteration for the first time when being even of goods target wall thickness.
Fig. 5 c is the curvilinear motion of head die gap and corresponding blow-molded article Thickness Distribution after the iteration for the second time when being even of goods target wall thickness.
Fig. 6 a implements the preceding blow-molded article Thickness Distribution of the utility model.
Fig. 6 b is the blow-molded article Thickness Distribution behind enforcement the utility model.
The specific embodiment
Below in conjunction with embodiment and accompanying drawing the utility model is described in further detail, but embodiment of the present utility model is not limited thereto.
Embodiment
Fig. 1 shows concrete structure of the present utility model.As seen from Figure 1, this extrusion-blow molding product wall thickness intelligentized control system comprises industrial computer 1, multichannel ultrasonic test card 2, ultrasonic probe 3, supersonic delay line 4, Programmable Logic Controller host computer 5, Programmable Logic Controller slave computer 6, system of parison wall thickness control panel 7, RS232 communication card 8, servo valve 9, display 10, video output card 11, RS232 serial ports 12; Described ultrasonic probe 3 is connected with multichannel ultrasonic test card 2 by cable, described multichannel ultrasonic test card 2 inserts on the mainboard of industrial computer 1 by pci bus, video output card 11 inserts on the mainboard of industrial computer 1 by the VGA bus, video output card 11 is connected with display 10, supersonic delay line 4 is connected with ultrasonic probe 3 by couplant, Programmable Logic Controller host computer 5 and Programmable Logic Controller slave computer 6 are connected by cable, system of parison wall thickness control panel 7 is installed on the Programmable Logic Controller slave computer 6, servo valve 9 is connected with system of parison wall thickness control panel 7, and industrial computer 1 is connected with Programmable Logic Controller slave computer 6 by RS232 serial ports 12 and RS232 communication card 8.Wherein the mounting means of ultrasonic probe in blow mold seen Fig. 2.
This extrusion-blow molding product wall thickness intelligentized control system each several part type selecting is as follows: industrial computer 1 can be selected the AIMB-742 industrial computer of ADVANTECH company for use; Multichannel ultrasonic test card 2 can be selected the PCIUT3100 ultrasound examination card of US Ultratek company for use, and joins DT8B or DT16B sense channel expansion card; Ultrasonic probe 3 can be selected the M202-SM of Olympus for use; Supersonic delay line 4 can be selected the DLHT-1 of Olympus for use; Programmable Logic Controller host computer 5, Programmable Logic Controller slave computer 6, system of parison wall thickness control panel 7, RS232 communication card 8 can be selected the controller of the 49N0-0G1AY-Y00-0-00 banding pattern base wall thickness control panel of Barber-Colman company for use; Servo valve 9 can be selected the G631-3005A of Moog company for use; The 107P5 of the optional PHILIPS of display 10 company; Video output card 11 can be selected the HD2600XT of ATI Radeon for use; 5 liters of extrusion blow molding machines that extrusion blow molding machine can select for use Zhangjiagang Tongda Machinery Co., Ltd. to produce.By the described annexation of top specification connection is installed then, just can realizes this intelligent control system preferably.
Utilize control method that intelligent control system shown in Figure 1 realizes specifically as shown in Figure 3, comprise the steps:
(1) blow-molded article to there being particular wall thickness to require, set its Thickness Distribution data and corresponding die parameters, adopt finite element analysis that the blowing process of goods is simulated, utilize the finite element modelling result to set up that system of parison wall thickness distributes and the optimization aim functional value between neural network model, ideal adaptation degree value finds the solution in real time in the realization optimization iterative process, in conjunction with paralleling genetic algorithm based on the real coding technology, set up the Mathematical Modeling that extrusion-blow molding product wall thickness is optimized, and model found the solution, obtain optimum initial head die gap curve.
(2) with initial head die gap curve input industry control processing module, regulate the die gap control module, the head gap is controlled the beginning blow molding operation by the industry control processing module.
(3) in the blowing process, the online detection module of product wall thickness ultrasonic wave obtains the Thickness Distribution of blow-molded article automatically in the mould, then the product wall thickness feedback information that is obtained is stored to the industry control processing module; Specifically being ultrasonic probe 3 is input to multichannel ultrasonic test card 2 with the product wall thickness information of each detection position in the blowing production process, is input on industrial computer 1 mainboard through pci bus again; Begin to detect the ultrasonic echo time of relevant position when preform blowup and when being adjacent to supersonic delay line end face 0.5～1s.Because temperature is bigger to the influence of ultrasonic velocity, therefore, the method that adopts each thickness measuring passage to proofread and correct separately, be as the criterion with the relevant position wall thickness of goods coolings 24h and proofread and correct the ultrasonic velocity of each passage, distribute by calculating the product wall thickness that obtains each passage then, and the product wall thickness feedback information that is obtained is stored to the industry control processing module.
(4) computer carries out analytic record according to input information to the wall thickness of goods, and calculate the departure of detected value and desired value, the product wall thickness curve of this departure and record is analyzed, and blur iterative learning control and calculate (idiographic flow is seen Fig. 4), the head die gap curve that must make new advances is controlled the blowing process, to realize the Based Intelligent Control of blowing process.The output of controlled quentity controlled variable is to link to each other with Programmable Logic Controller slave computer 6 by RS232 serial ports 12 and RS232 communication card 8, be transferred to system of parison wall thickness control panel 7 then, system of parison wall thickness control panel 7 is according to the data-driven servo valve 9 of input, thereby realize the control of die gap and carry out next time blow molding operation, so circulation meets the demands up to the product wall thickness that is obtained.
Utilize control method that intelligent control system shown in Figure 3 realizes specifically as shown in Figure 3, comprise the steps:
Utilize intelligent control system shown in Figure 1 that the wall thickness of one packing container is carried out intellectuality control.Fig. 5 a is the curvilinear motion of initial head die gap and corresponding blow-molded article Thickness Distribution when being even of goods target wall thickness; Fig. 5 b is the curvilinear motion of head die gap and corresponding blow-molded article Thickness Distribution after the iteration for the first time when being even of goods target wall thickness; Fig. 5 c is the curvilinear motion of head die gap and corresponding blow-molded article Thickness Distribution after the iteration for the second time when being even of goods target wall thickness.Fig. 6 a implements the preceding blow-molded article Thickness Distribution of the utility model; Fig. 6 b is the blow-molded article Thickness Distribution behind enforcement the utility model.By Fig. 5 a, 5b, 5c and Fig. 6 a, 6b as can be known, this intelligent control system can be realized the control to the blow-molded article wall thickness apace, makes the blow-molded article wall thickness meet the demands.
The foregoing description is the utility model preferred implementation; but embodiment of the present utility model is not restricted to the described embodiments; other any do not deviate from change, the modification done under spiritual essence of the present utility model and the principle, substitutes, combination, simplify; all should be the substitute mode of equivalence, be included within the protection domain of the present utility model.
Claims (6)
1, a kind of extrusion-blow molding product wall thickness intelligentized control system, it is characterized in that: comprise the online detection module of product wall thickness ultrasonic wave, industry control processing module, die gap control module in the mould, the online detection module of product wall thickness ultrasonic wave is connected with the industry control processing module in the described mould, and described industry control processing module is connected with the die gap control module.
2, extrusion-blow molding product wall thickness intelligentized control system according to claim 1, it is characterized in that: the online detection module of product wall thickness ultrasonic wave comprises ultrasonic probe, ultrasound examination card in the described mould, and described ultrasonic probe is connected with the ultrasound examination card.
3, extrusion-blow molding product wall thickness intelligentized control system according to claim 2, it is characterized in that: described ultrasonic probe is connected with supersonic delay line, ultrasonic probe and supersonic delay line all are installed in the blow mold, supersonic delay line is provided with screw thread, and by being threaded onto on the relevant detection position.
4, extrusion-blow molding product wall thickness intelligentized control system according to claim 3, it is characterized in that: described ultrasonic probe and supersonic delay line are of coupled connections, described supersonic delay line stretches out die cavity, and the steam vent of some is set around supersonic delay line.
5, extrusion-blow molding product wall thickness intelligentized control system according to claim 1, it is characterized in that: described industry control processing module comprises industrial computer, Programmable Logic Controller, output port, described Programmable Logic Controller is connected with industrial computer by output port, and described industrial computer also is connected with external equipment by output port.
6, extrusion-blow molding product wall thickness intelligentized control system according to claim 1 is characterized in that: described die gap control module comprises system of parison wall thickness control panel, servo valve, and described system of parison wall thickness control panel is connected with servo valve.
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| Application Number | Priority Date | Filing Date | Title |
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| CNU2007200583829U CN201179724Y (en) | 2007-10-17 | 2007-10-17 | Intelligentized control system for wall thickness of extrusion-blow molding product |
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| CNU2007200583829U CN201179724Y (en) | 2007-10-17 | 2007-10-17 | Intelligentized control system for wall thickness of extrusion-blow molding product |
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104822505A (en) * | 2012-12-11 | 2015-08-05 | 考特斯机械制造有限公司 | Extrusion blow molding method and device for performance thereof |
| CN107775942A (en) * | 2016-08-31 | 2018-03-09 | 岱纳包装（天津）有限公司 | A kind of method of extrusion glue embryo adjust automatically and control extrusion-blown modling based on 3D scannings |
| US20200353663A1 (en) * | 2019-05-10 | 2020-11-12 | The Royal Institution For The Advancement Of Learning / Mcgill University | Method and system for regulating an extrusion process |
-
2007
- 2007-10-17 CN CNU2007200583829U patent/CN201179724Y/en not_active Expired - Fee Related
Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104822505A (en) * | 2012-12-11 | 2015-08-05 | 考特斯机械制造有限公司 | Extrusion blow molding method and device for performance thereof |
| CN104822505B (en) * | 2012-12-11 | 2016-12-07 | 考特斯机械制造有限公司 | Extrusion blow molding processes and apparatus for carrying out the method |
| US10035290B2 (en) | 2012-12-11 | 2018-07-31 | Kautex Maschinenbau Gmbh | Extrusion blow-molding method and device for the performance thereof |
| CN107775942A (en) * | 2016-08-31 | 2018-03-09 | 岱纳包装（天津）有限公司 | A kind of method of extrusion glue embryo adjust automatically and control extrusion-blown modling based on 3D scannings |
| US20200353663A1 (en) * | 2019-05-10 | 2020-11-12 | The Royal Institution For The Advancement Of Learning / Mcgill University | Method and system for regulating an extrusion process |
| US11718011B2 (en) * | 2019-05-10 | 2023-08-08 | The Royal Institution For The Advancement Of Learning/Mcgill University | Method and system for regulating an extrusion process |
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Granted publication date: 20090114 Termination date: 20121017 |