CN103802265A - Simulating device and method - Google Patents
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- CN103802265A CN103802265A CN201310551682.0A CN201310551682A CN103802265A CN 103802265 A CN103802265 A CN 103802265A CN 201310551682 A CN201310551682 A CN 201310551682A CN 103802265 A CN103802265 A CN 103802265A
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- 238000000034 method Methods 0.000 title claims abstract description 89
- 238000004088 simulation Methods 0.000 claims abstract description 142
- 230000008569 process Effects 0.000 claims abstract description 63
- 238000001746 injection moulding Methods 0.000 claims abstract description 20
- 239000007924 injection Substances 0.000 claims description 63
- 238000002347 injection Methods 0.000 claims description 63
- 239000000463 material Substances 0.000 claims description 21
- 229920003023 plastic Polymers 0.000 claims description 17
- 239000004033 plastic Substances 0.000 claims description 17
- 238000002844 melting Methods 0.000 claims description 3
- 238000013401 experimental design Methods 0.000 claims description 2
- 230000000704 physical effect Effects 0.000 claims 2
- 239000012778 molding material Substances 0.000 abstract 2
- 230000008901 benefit Effects 0.000 description 3
- 238000004364 calculation method Methods 0.000 description 2
- 238000004519 manufacturing process Methods 0.000 description 2
- 230000007246 mechanism Effects 0.000 description 2
- 241001269238 Data Species 0.000 description 1
- 230000008859 change Effects 0.000 description 1
- 238000006243 chemical reaction Methods 0.000 description 1
- 238000004891 communication Methods 0.000 description 1
- 230000008602 contraction Effects 0.000 description 1
- 238000001816 cooling Methods 0.000 description 1
- 230000008878 coupling Effects 0.000 description 1
- 238000010168 coupling process Methods 0.000 description 1
- 238000005859 coupling reaction Methods 0.000 description 1
- 125000004122 cyclic group Chemical group 0.000 description 1
- 230000001419 dependent effect Effects 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 238000005265 energy consumption Methods 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 230000006872 improvement Effects 0.000 description 1
- 239000000155 melt Substances 0.000 description 1
- 230000008018 melting Effects 0.000 description 1
- 238000010309 melting process Methods 0.000 description 1
- 238000000465 moulding Methods 0.000 description 1
- 238000012856 packing Methods 0.000 description 1
- 238000012545 processing Methods 0.000 description 1
- 239000002994 raw material Substances 0.000 description 1
- 230000001105 regulatory effect Effects 0.000 description 1
- 238000000926 separation method Methods 0.000 description 1
- 125000003003 spiro group Chemical group 0.000 description 1
- 238000012360 testing method Methods 0.000 description 1
- 238000012549 training Methods 0.000 description 1
- 230000007704 transition Effects 0.000 description 1
- 238000013022 venting Methods 0.000 description 1
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B17/00—Systems involving the use of models or simulators of said systems
- G05B17/02—Systems involving the use of models or simulators of said systems electric
-
- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B19/00—Programme-control systems
- G05B19/02—Programme-control systems electric
- G05B19/418—Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS] or computer integrated manufacturing [CIM]
- G05B19/41885—Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS] or computer integrated manufacturing [CIM] characterised by modeling, simulation of the manufacturing system
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B29—WORKING OF PLASTICS; WORKING OF SUBSTANCES IN A PLASTIC STATE IN GENERAL
- B29C—SHAPING OR JOINING OF PLASTICS; SHAPING OF MATERIAL IN A PLASTIC STATE, NOT OTHERWISE PROVIDED FOR; AFTER-TREATMENT OF THE SHAPED PRODUCTS, e.g. REPAIRING
- B29C45/00—Injection moulding, i.e. forcing the required volume of moulding material through a nozzle into a closed mould; Apparatus therefor
- B29C45/17—Component parts, details or accessories; Auxiliary operations
- B29C45/76—Measuring, controlling or regulating
- B29C45/766—Measuring, controlling or regulating the setting or resetting of moulding conditions, e.g. before starting a cycle
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B29—WORKING OF PLASTICS; WORKING OF SUBSTANCES IN A PLASTIC STATE IN GENERAL
- B29C—SHAPING OR JOINING OF PLASTICS; SHAPING OF MATERIAL IN A PLASTIC STATE, NOT OTHERWISE PROVIDED FOR; AFTER-TREATMENT OF THE SHAPED PRODUCTS, e.g. REPAIRING
- B29C45/00—Injection moulding, i.e. forcing the required volume of moulding material through a nozzle into a closed mould; Apparatus therefor
- B29C45/17—Component parts, details or accessories; Auxiliary operations
- B29C45/76—Measuring, controlling or regulating
- B29C45/7693—Measuring, controlling or regulating using rheological models of the material in the mould, e.g. finite elements method
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F30/00—Computer-aided design [CAD]
- G06F30/20—Design optimisation, verification or simulation
-
- G—PHYSICS
- G09—EDUCATION; CRYPTOGRAPHY; DISPLAY; ADVERTISING; SEALS
- G09B—EDUCATIONAL OR DEMONSTRATION APPLIANCES; APPLIANCES FOR TEACHING, OR COMMUNICATING WITH, THE BLIND, DEAF OR MUTE; MODELS; PLANETARIA; GLOBES; MAPS; DIAGRAMS
- G09B19/00—Teaching not covered by other main groups of this subclass
- G09B19/24—Use of tools
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B29—WORKING OF PLASTICS; WORKING OF SUBSTANCES IN A PLASTIC STATE IN GENERAL
- B29C—SHAPING OR JOINING OF PLASTICS; SHAPING OF MATERIAL IN A PLASTIC STATE, NOT OTHERWISE PROVIDED FOR; AFTER-TREATMENT OF THE SHAPED PRODUCTS, e.g. REPAIRING
- B29C45/00—Injection moulding, i.e. forcing the required volume of moulding material through a nozzle into a closed mould; Apparatus therefor
- B29C45/17—Component parts, details or accessories; Auxiliary operations
- B29C45/76—Measuring, controlling or regulating
- B29C2045/7606—Controlling or regulating the display unit
-
- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B2219/00—Program-control systems
- G05B2219/30—Nc systems
- G05B2219/45—Nc applications
- G05B2219/45244—Injection molding
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
- Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
- Y02P90/02—Total factory control, e.g. smart factories, flexible manufacturing systems [FMS] or integrated manufacturing systems [IMS]
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- Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- Manufacturing & Machinery (AREA)
- General Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- Business, Economics & Management (AREA)
- Mechanical Engineering (AREA)
- Educational Administration (AREA)
- Entrepreneurship & Innovation (AREA)
- Educational Technology (AREA)
- Automation & Control Theory (AREA)
- General Engineering & Computer Science (AREA)
- Quality & Reliability (AREA)
- Computer Hardware Design (AREA)
- Evolutionary Computation (AREA)
- Geometry (AREA)
- Injection Moulding Of Plastics Or The Like (AREA)
Abstract
The method involves calculating volumetric flow (V-) parameter of a physical model in a machine simulation unit (MS) for simulating an injection molding machine (2). The to-be-processed molding material is simulated for calculating the pressure parameter (p) of to-be-processed molding material in a process simulation unit (PS). The parameter calculated in the process simulation unit is notified through an interface (12) for entering the parameters calculated in the machine simulation unit corresponding to an input mask (11) of the injection molding machine. Independent claims are included for the following: (1) simulating device for injection molding process of injection molding machine; and (2) injection molding machine.
Description
Technical field
The present invention relates to a kind of method for injection molding process is simulated of the feature with claim 1 preamble, also relate to a kind of analogue means and a kind of injection machine with this analogue means for injection molding process is simulated of the feature with claim 13 preamble.
Background technology
Injection machine is simulated known, wherein particularly according to set cyclic process and calculate machine movement according to the performance of driven unit.Such software primarily for train injection machine operating personnel and also for testing machine software.
In addition known is process simulation, wherein, is threedimensional model by injection mold emulation, and starts, simulates through packing stage and the cooling until forming process of the manufactured goods demoulding injecting with melt.For given die cavity geometry, can in this process simulation, carry out the calculating of pressure and temperature by each time point in injection molding process.Thereby attempt the finished product of injection molding process to estimate, wherein also for example consider and shrink and warpage.In this simulation, the performance of injection machine self is inevitable not to be considered all the time completely, and described software is only considered some master datas of injection machine, for example screw diameter, maximum injection speed, maximum injection pressure or maximum clamping force.But because injection property and the matched moulds performance in injection-molding accurately have a significant impact the final products of injection molding process, therefore the degree of accuracy of described process simulation is still improvable.
Summary of the invention
Task of the present invention is: a kind of method and apparatus for injection molding process is simulated is provided, and it can make accuracy that finished product the estimates acceptable tolerance closer to finished product.
The analogue means of this task by a kind of method of the feature with claim 1, a kind of feature with claim 13 and a kind ofly completed by the injection machine with such analogue means.
This realizes in the following way, that is: move machine simulation portion and process simulation portion simultaneously, wherein, by at least one first parameter-preferably at least one volume flow-offer process simulation portion, and/or by least one pressure in die cavity of at least one second parameter-preferably-offer machine simulation portion.That is to say, simulate for the important element of the result of injection molding process all, and exchange the result of described simulation.
Generally speaking, simulation carry out step by step-by time discrete.Certainly, be also preferably as follows in the present invention setting, that is, after each simulation steps, exchange pressure and volume flow and other possible parameters.
By the improvement to simulation accuracy being realized by the present invention, the manufacture of moulding is produced to multiple advantages.By the accurately predicting of the final products to injection molding process, can realize in advance estimating the energy requirement amount in for example manufacturing or circulation timei and expection productivity ratio thereupon.Due to simulation according to the present invention, compared with utilizing the process simulation of prior art, the component selection injection machine for producing more reliably.Aspect the degree of accuracy reaching, the result of described simulation is also used in and while encountering problems, picks out problematic parts.Described problematic parts just can be replaced targetedly, and needn't in the time dealing with problems, process according to trial and error principle.
Be preferably as follows setting, that is: injected plastics material and injection mold simulated jointly.In this case, described injection mold will be in process simulation portion and in machine simulation portion, is not simulated.
Other embodiments of the present invention limit by dependent claims.
In order to obtain best the thermal condition in injection mold, can in machine simulation portion and/or process simulation portion, at least one temperature to the injection mold that will simulate calculate, and send described at least one temperature to process simulation portion and/or machine simulation portion.Preferably set following embodiment at this, by machine simulation portion, the performance of mold hot adjuster is simulated in this embodiment.
Can set as follows: at least one position and/or at least one speed to the movable mold clamp board that will simulate in machine simulation portion are calculated, and send described at least one position and/or at least one speed to process simulation portion.Can set as follows equally: in machine simulation portion, at least one power acting on the mold clamp board that will simulate is calculated, and sent described at least one power to process simulation portion.By these methods, this simulation also can be for injection-molding method.
For special exactly by the result feedback of process simulation portion to machine simulation portion, at least one expansive force can be in process simulation portion the injected plastics material by simulating being produced calculate, and sends described at least one expansive force to described machine simulation portion.
In order as far as possible exactly volume flow to be calculated, can set as follows: in process simulation portion, in machine nozzle and preferably the performance of the injected plastics material in screw rod cup simulate.
Also can set as follows: in process simulation portion or in machine simulation portion, plasticizing process is simulated.Obtain thus plasticizing efficiency and/or Temperature Distribution and/or the pressure distribution of the injected plastics material of for example melting.
Can be preferably as follows in addition setting: in machine simulation portion and/or in process simulation portion the part to the injection machine that will simulate-particularly injection mold-at least one deformation quantity calculates, and sends described at least one deformation quantity to process simulation portion and/or machine simulation portion.By the deformation quantity of the whole system being made up of machine, mould and profiled member is considered, also can be loyal to the former local effect that obtains die venting and contraction.
In addition preferably, in one embodiment, the parts of described injection machine are simulated convertibly in machine simulation portion, and/or the parts of described injection mold are simulated convertibly in process simulation portion.So realize and carry out the rapid adjustment to described simulation by user.
In order to produce injection machine adjusting data set (Einstelldatensatz) used, can carry out at least one times and produce and regulate data set according to simulation of the present invention and based on result.At this advantageously: carry out repeatedly and also select subsequently according to simulation of the present invention the initial parameter collection that produces optimum with different initial parameter collection.Automatic Optimal can be carried out targetedly at this, namely: the input parameter of restriction constantly changes in preset range, until specific objective numerical value reaches ideal value.Input parameter can be the rated value that can regulate on machine, but can be also the geometry data of mould or machine part, can also be the material data of injected plastics material be present in machine or mould in the material data of raw material.Preferably the parameter of the mass property of parts and/or influence process productivity ratio (circulation timei, energy consumption) is limited as target value.
In this meaning advantageously: experimental design can automatically complete, wherein with change initial parameter carry out repeatedly according to simulation of the present invention.
For the ease of operation and/or for the ease of operating personnel are giveed training, can make the interface for input parameter of machine simulation portion corresponding to the input screen of injection machine.
The present invention is the claimed injection machine having according to analogue means of the present invention also, and wherein said analogue means is connected with control or the adjusting device of described injection machine.
Preferably set at this: the parameter of inputting of described machine simulation portion can be by described injection machine as regulating data set accept.Removing thus by operating personnel is injection molding process and the manual necessity of input parameter.
Can obtain on the market for the software product that the melting process of the plastic grain in spiro rod plasticizing unit is calculated.Described software product is except needing material data and processing the geometry data that also needs screw rod important procedure parameter for plasticizing.Result of calculation be mainly temperature in time graph and the melt of the time graph of plasticizing efficiency, necessary screw rod turning moment respectively with the time graph of pressure distribution.Can set as follows: these calculation procedures are via suitable interface and virtual machine and/or be coupled with process simulation portion.Also can be again for determining that the parameter of plasticizing simulation is used the input screen of machine simulation portion in the simplest situation at this.Can preferably carry out the coupling of repetition: machine simulation portion is the default screw rod revolution of very first time step.Plasticizing simulation is main calculates plasticizing efficiency and required moment, and it is returned to machine simulation portion; Plasticizing efficiency is corresponding to the quantity of material of per time unit's plasticizing.Because these materials are transported in screw rod cup, therefore screw rod moves backward, can calculate the screw position making new advances.Required moment derives a new revolution according to the adjusting function of machine again, and described new revolution is transferred into described plasticizing simulation as the default value of the second time step.This is cycled to repeat and carries out, until screw rod arrives the metering stroke of setting.
The result of described coupled simulation is the Temperature Distribution approaching in actual metering time and melt, and this result can be included in other already described calculating.
Accompanying drawing explanation
Other advantages of the present invention and details can obtain by accompanying drawing and to the relevant explanation of accompanying drawing.Shown in it:
Fig. 1 has the injection machine according to analogue means of the present invention, and
Fig. 2 is according to the flow chart of analogy method of the present invention.
The specific embodiment
Fig. 1 illustrates injection machine 2 schematically illustrated its adjusting or control module 3 and analogue means 1.The closing unit of a vertical matched moulds is exemplarily shown herein, and it has multiple montant 4, fixing mold clamp board 5 and a movable mold clamp board 6.Certainly, the present invention also can be used for the closing unit of any other type.Described adjusting or control module 3 are connected with all critical elements of injection machine 2 conventionally.Exemplarily illustrate and being connected of fast travel cylinder 13, lockable mechanism 7, pressure mechanism 8 and injecting unit 9 herein.
At this, the state with die sinking illustrates described closing unit, so that the mold half of injection mold 10 is visible.
In analogue means 1, move the MS of machine simulation portion and the PS of process simulation portion, wherein, in each simulation steps, send the pressure p being calculated by the PS of process simulation portion to machine simulation portion MS.In addition, in each process steps of the MS of machine simulation portion, by the volume flow being calculated by the MS of machine simulation portion
send the PS of process simulation portion to.In addition, following parameter is also simulated and is exchanged by the MS of machine simulation portion or the PS of process simulation portion, that is: the temperature T of injection mold, act on the power F on mold clamp board 6, the expansive force F being produced by melt
a, the position x of movable mold clamp board 6 and the deformation quantity Δ x of speed v and injection mold.At this, temperature T, power F, expansive force F
aand deformation quantity Δ x can be used as the parameter of position resolution, namely: for all position coordinateses relevant with corresponding parameter, temperature T, power F, expansive force F
abeing actually with deformation quantity Δ x can be exchanged.
Analogue means 1 also has interface 12, and the MS of machine simulation portion parameter used can be inputted at this interface.Interface 12 is the input screen 11 on adjusting or the control module 3 of injection machine 2 in the ideal case.
The adjusting of injection machine 2 or control module 3 are connected with analogue means 1 via data connection device 12.The adjusting data set calculating by simulation for example can directly send via this data connection device 12 adjusting or the control module 3 of injection machine 2 to.The implementation of data connection device 12 is unimportant.By modern communication network, for example, can between injection machine 2 and analogue means 1, realize large spatial separation arbitrarily.
Shown in Fig. 2, according to the flow chart of analogy method of the present invention, the step of being carried out by the MS of machine simulation portion is wherein shown in left side, and the step of being carried out by the PS of process simulation portion is shown on right side.Generally speaking, in the time of injection of plastic material, carry out speed thereupon and regulate the stage, then carry out pressure and regulate the stage.In the flow chart illustrating, necessary conversion is together considered by determinant E.
Particularly, at the first simulation steps (t
e=0) in to volume flow
calculate and this volume flow is passed to process simulation portion.Then, process simulation portion calculates the pressure in melt and this pressure is passed to the MS of machine simulation portion again.After increasing progressively for the counter of simulation steps, determine whether and should regulate phase transition to pressure to regulate the stage from speed by determinant E.If not, in next simulation steps, again calculate by the MS of machine simulation portion the volume flow making new advances
.
If changed, regulate stage (t at pressure
n=0) in the first simulation steps, recalculate volume flow
and this volume flow is passed to the PS of process simulation portion.Pressure p in melt is re-started and calculates and send this pressure to machine simulation portion MS.After increasing progressively for the new counter in pressure adjusting stage, determine whether and reach the pressure terminal in adjusting stage.In the present embodiment, this is simply via predetermined time step t
n-sollsum realize, if be no to this answers, in next pressure simulation steps in adjusting stage, recalculate volume flow
.
The PS of process simulation portion for prior art need to be provided with predetermined pressure in the pressure adjusting stage conventionally.But, if rated pressure is sent to the PS of process simulation portion by the MS of machine simulation portion simply now, machine performance is not considered all the time.In order to give full play to advantage of the present invention, in the present embodiment also in the pressure adjusting stage by volume flow
send the PS of process simulation portion to.
If reach the pressure terminal in adjusting stage, simulation finishes.
Claims (25)
1. the method for the injection molding process that uses injection machine (2) to implement is simulated, described injection machine has the input screen (11) for data input, wherein
-in the machine simulation portion (MS) for described injection machine (2) is simulated, alternatively in the situation that there is no injection mold, based on physical property model, at least one the first parameter-preferred volume flow in the injecting unit that will simulate (9) of injection machine (2)
-calculate, and
-in the process simulation portion (PS) for the injected plastics material that will process and/or injection mold are simulated, based on physical model, at least one the second parameter-preferred pressure (p) in the injected plastics material that will simulate-calculate,
It is characterized in that: described at least one second parameter is sent to machine simulation portion (MS) and/or sends described at least one first parameter to process simulation portion (PS), and interface (12) is for inputting machine simulation part (MS) parameter used, and this interface is corresponding to the input screen (11) of injection machine (2).
2. method according to claim 1, it is characterized in that: at least one temperature (T) to the injection mold that will simulate (10) in machine simulation portion (MS) and/or in process simulation portion (PS) is calculated, and send described at least one temperature (T) to process simulation portion (PS) and/or machine simulation portion (MS).
3. method according to claim 1 and 2, is characterized in that: by machine simulation portion (MS), the performance of mold hot adjuster is simulated.
4. according at least one of claim 1 or 2 described method, it is characterized in that: in machine simulation portion (MS) at least one position of the movable mold clamp board (6) that will simulate (x) and/or at least one speed (v) calculate, and by described at least one position (x) and/or described at least one speed (v) send process simulation portion (PS) to.
5. according at least one of claim 1 to 4 described method, it is characterized in that: in machine simulation portion (MS), at least one power (F) acting on the mold clamp board (6) that will simulate is calculated, and sent described at least one power (F) to process simulation portion (PS).
6. according at least one of claim 1 to 5 described method, it is characterized in that: at least one expansive force (FA) in process simulation portion (PS), the injected plastics material by simulating being produced calculates, and sends described at least one expansive force (FA) to machine simulation portion (MS).
7. according at least one described method of claim 1 to 6, it is characterized in that: in process simulation portion (PS) in machine nozzle and preferably the mobile performance of the injected plastics material in screw rod cup simulate.
8. according at least one of claim 1 to 7 described method, it is characterized in that: the plasticizing efficiency of the injected plastics material to plasticizing process-melting and/or Temperature Distribution and/or pressure distribution in process simulation portion (PS) or in machine simulation portion (MS)-simulate.
9. according at least one of claim 1 to 8 described method, it is characterized in that: in machine simulation portion (MS) and/or in process simulation portion (PS) part to the injection machine that will simulate (2)-particularly injection mold (10)-(Δ x) calculates at least one deformation quantity, and (Δ x) sends process simulation portion (PS) and/or machine simulation portion (MS) to by described deformation quantity.
10. according at least one of claim 1 to 9 described method, it is characterized in that: in machine simulation portion (MS), the parts of injection machine are simulated convertibly, and/or in process simulation portion (PS), the parts of injection mold are simulated convertibly.
11. 1 kinds of methods for generation of injection machine (2) adjusting data set used, is characterized in that: carry out simulation at least one times according at least one of claim 1 to 10 described method, and produce and regulate data set based on analog result.
12. 1 kinds of methods for experimental design is simulated, is characterized in that: carry out repeatedly the method according at least one of claim 1 to 10 with the initial parameter changing.
13. 1 kinds of analogue means for the injection moulding process that uses injection machine (2) to implement is simulated, described injection machine has the input screen (11) for data input, wherein
-in the machine simulation portion (MS) for injection machine (2) is simulated, alternatively in the situation that there is no injection mold, based on physical property model, at least one the first parameter-preferred volume flow in the injecting unit that will simulate (9) of injection machine (2)
-can be calculated, and
-in the process simulation portion (PS) for the injected plastics material that will process and/or injection mold are simulated, based on physical model, at least one the second parameter-preferred pressure (p) in the injected plastics material that will simulate-can be calculated,
Wherein, described analogue means (1) comprises the interface (12) for inputting machine simulation part (MS) parameter used, it is characterized in that: described at least one second parameter can be called by machine simulation portion (MS) and/or described at least one first parameter can be called by process simulation portion (PS), and the input screen (11) of injection machine (2) is corresponding to the interface (12) of machine simulation portion (MS).
14. analogue means according to claim 13, it is characterized in that: in machine simulation portion (MS) and/or in process simulation portion (PS), at least one temperature (T) of the injection mold (10) of simulating can be calculated, and described at least one temperature (T) can be called by process simulation portion (PS) and/or machine simulation portion (MS).
15. analogue means according to claim 14, is characterized in that: can be simulated the performance of mold hot adjuster by machine simulation portion (MS).
16. according to the analogue means described in claim 13 or 14, it is characterized in that: in machine simulation portion (MS), at least one position of the movable mold clamp board (6) of simulating (x) and/or at least one speed (v) can be calculated, and described at least one position (x) and/or described at least one speed (v) can be called by process simulation portion (PS).
17. according to claim 13 at least one of 16 described analogue means, it is characterized in that: in machine simulation portion (MS), at least one power (F) acting on the mold clamp board (6) that will simulate can be calculated, and described at least one power (F) can be called by process simulation portion (PS).
18. according to claim 13 at least one of 17 described analogue means, it is characterized in that: in process simulation portion (PS), at least one expansive force (FA) being produced by the injected plastics material that will simulate can be calculated, and described at least one expansive force (FA) can be called by machine simulation portion (MS).
19. according to claim 13 at least one described analogue means of 18, it is characterized in that: in process simulation portion (PS), in machine nozzle and preferably the mobile performance of the injected plastics material in screw rod cup can simulated.
20. according to claim 13 at least one of 19 described analogue means, it is characterized in that: in process simulation portion (PS) or in machine simulation portion (MS), the plasticizing efficiency of the injected plastics material of plasticizing process-melting and/or Temperature Distribution and/or pressure distribution-can simulated.
21. according to claim 13 at least one of 20 described analogue means, it is characterized in that: in machine simulation portion (MS) and/or in process simulation portion (PS), a part for the injection machine (2) of simulating-particularly injection mold (10)-at least one deformation quantity (Δ x) can be calculated, and described at least one deformation quantity (Δ x) can be called by process simulation portion (PS) and/or machine simulation portion (MS).
22. according to claim 13 at least one of 21 described analogue means, it is characterized in that: in machine simulation portion (MS), the parts of injection machine can be simulated convertibly, and/or the parts of injection mold can be simulated convertibly in process simulation portion (PS).
23. according to claim 13 at least one of 22 described analogue means, it is characterized in that: can repeatedly be carried out with the initial parameter changing the simulation of injection molding process.
24. 1 kinds of injection machines, have the analogue means described according to claim 13 at least one of 23, it is characterized in that: described analogue means (1) is connected with control or the adjusting device (3) of injection machine (2).
25. injection machines according to claim 24, is characterized in that: control or adjusting device (3) that the parameter of inputting of machine simulation portion (MS) can be injection molding machine (2) receive as adjusting data set.
Applications Claiming Priority (2)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| ATA1195/2012 | 2012-11-09 | ||
| ATA1195/2012A AT513481B1 (en) | 2012-11-09 | 2012-11-09 | Simulation device and method |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN103802265A true CN103802265A (en) | 2014-05-21 |
| CN103802265B CN103802265B (en) | 2017-04-12 |
Family
ID=50555909
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201310551682.0A Active CN103802265B (en) | 2012-11-09 | 2013-11-08 | Simulating device and method |
Country Status (3)
| Country | Link |
|---|---|
| CN (1) | CN103802265B (en) |
| AT (1) | AT513481B1 (en) |
| DE (1) | DE102013016914A1 (en) |
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108237670A (en) * | 2016-12-23 | 2018-07-03 | 恩格尔奥地利有限公司 | For optimizing the method for the process optimization system for molding machine |
| CN108447737A (en) * | 2018-05-18 | 2018-08-24 | 厦门理工学院 | A kind of relay base quality optimization system based on simplex search |
| CN108735072A (en) * | 2018-05-29 | 2018-11-02 | 武汉视野弘毅教育科技有限公司 | A kind of teaching method of work-integrated learning |
| CN110325342A (en) * | 2017-02-23 | 2019-10-11 | 东洋机械金属株式会社 | Injection molding apparatus |
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| DE102016214293A1 (en) | 2016-08-03 | 2018-02-08 | Bayerische Motoren Werke Aktiengesellschaft | Method, casting material and casting for testing a temperature balance of a casting mold |
| US20190176383A1 (en) * | 2017-12-07 | 2019-06-13 | Rjg, Inc. | Predictive simulation system and method for injection molding |
| DE102018123361A1 (en) | 2018-09-23 | 2020-03-26 | Arburg Gmbh + Co Kg | Process for controlling a machine for processing plastics |
| DE102020109947A1 (en) | 2020-04-09 | 2021-10-14 | Arburg Gmbh + Co Kg | Method for adjusting an injection molding machine |
| AT523768B1 (en) | 2020-04-20 | 2023-08-15 | Engel Austria Gmbh | Method and computer program product for comparing a simulation with the actually performed process |
| JP2022052082A (en) | 2020-09-23 | 2022-04-04 | 株式会社日立製作所 | Injection molding system and support method for setting injection molding machine |
| DE102021128718A1 (en) * | 2021-11-04 | 2023-05-04 | Volkswagen Aktiengesellschaft | Method for determining process parameters for a manufacturing process of a real product |
| CN117574695B (en) * | 2024-01-19 | 2024-05-14 | 深圳市京鼎工业技术股份有限公司 | Injection mold simulation pouring method, system and medium |
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| CN101685475A (en) * | 2008-08-08 | 2010-03-31 | 本田技研工业株式会社 | Analytical model preparation method, and simulation system method for predicting molding failure |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN108237670A (en) * | 2016-12-23 | 2018-07-03 | 恩格尔奥地利有限公司 | For optimizing the method for the process optimization system for molding machine |
| CN110325342A (en) * | 2017-02-23 | 2019-10-11 | 东洋机械金属株式会社 | Injection molding apparatus |
| CN108447737A (en) * | 2018-05-18 | 2018-08-24 | 厦门理工学院 | A kind of relay base quality optimization system based on simplex search |
| CN108735072A (en) * | 2018-05-29 | 2018-11-02 | 武汉视野弘毅教育科技有限公司 | A kind of teaching method of work-integrated learning |
Also Published As
| Publication number | Publication date |
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| DE102013016914A1 (en) | 2014-05-15 |
| AT513481A4 (en) | 2014-05-15 |
| CN103802265B (en) | 2017-04-12 |
| AT513481B1 (en) | 2014-05-15 |
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