DE102015015811A1 - Method and a simulation device for simulating a fictitious configuration of a shaping system - Google Patents

Abstract

Method for simulating a fictitious configuration of a shaping installation (1), wherein at least one process value (WIST, WSOLL) measured during operation of this shaping installation (1) or read out of a memory (2) of this shaping installation (1) is used as input parameter (P) for the fictional configuration of the shaping system (1) representing model (M) is used.

Description

The invention relates to a method and a simulation device for simulating a fictitious configuration of a shaping system.

In non-generic areas such as the packaging industry ( US 2011/0289012 A1 ) and the industry for the manufacture of bearings and seals ( EP 1 233 357 A1 ), there are already methods and systems that offer a computer-based simulation of certain processes for the detection of potential for improvement.

Such computer-based systems or methods are not yet known in the field of molding technology.

• • Investitionskosten
• • Betriebskosten
• • Stückkosten (bezogen auf das hergestellte Formteil)
• • Ausschussrate
• • Prozess-Reproduzierbarkeit
• • Bedienkomfort
• • Einfachheit der Bedienung, der Inbetriebnahme oder der Fehlersuche
• • Energieverbrauch
• • Transparente Darstellung des Prozesses

For molding or injection molding equipment, optional software or hardware products have been available to date either from the machine manufacturer, from the toolmaker or from other suppliers. Of these, there are often options that are not absolutely necessary for the operation of the plant, but which promise advantages of various kinds. In other words, different system configurations are conceivable, all of which are suitable for the production of a specific molded part, but which differ in one or more of the following features:

• • Investment costs
• • Operating cost
• • Unit costs (based on the molded part produced)
• • Committee rate
• • process reproducibility
• • ease of use
• • Simplicity of operation, commissioning or troubleshooting
• • Power consumption
• • Transparent representation of the process

• • Energiesparendere Antriebe
• • Drehzahlgeregelte Pumpenantriebe
• • Isolierungen oder thermische Trennungen
• • Kühlung oder Temperierung von Bereichen der Anlage
• • Zusätzliche Sensoren in der Maschine oder im Werkzeug
• • Ölwartungseinheit
• • Kühlwasserverteiler mit elektronischer Überwachung und/oder Regelung des Durchflusses
• • Software und/oder Hardware zur Diagnose, Fehlersuche, etc.
• • Software und/oder Hardware zur vorbeugenden Wartung
• • Einstell-Assistenten
• • Software und/oder Hardware zur Erhöhung der Konstanz von Schuss zu Schuss
• • Software und/oder Hardware zur Balancierung der Formfüllung zwischen den einzelnen Kavitäten bei Mehrkavitätenwerkzeugen
• • Software zu manuellen oder automatischen Veränderung der Regelcharakteristik
• • Aktiv schließende Rückstromsperre

Optional equipment for improving the mentioned features are, for example:

• • More energy efficient drives
• • Variable speed pump drives
• • Insulations or thermal separations
• • Cooling or temperature control of areas of the system
• • Additional sensors in the machine or in the tool
• • Oil maintenance unit
• • Cooling water distributor with electronic monitoring and / or flow control
• • Software and / or hardware for diagnostics, troubleshooting, etc.
• • Software and / or hardware for preventive maintenance
• • Setting Wizard
• • software and / or hardware to increase the consistency from shot to shot
• • Software and / or hardware for balancing the mold filling between the individual cavities in multi-cavity molds
• • Software for manual or automatic change of the control characteristic
• • Active closing non-return valve

In practice, it can be seen that the expected benefits may vary to varying degrees depending on the component produced, the material used or other parameters. It is therefore difficult for both the customer and the supplier to judge whether the purchase of such optional equipment pays off in individual cases. A definitive clarification is usually associated with great effort (calculation, trial).

However, a fictitious configuration does not necessarily have to be a configuration that can only be produced by purchasing optional equipment. In this disclosure, a fictitious configuration is also understood to mean a configuration that can be achieved by establishing a specific operating state, by switching off or switching on individual functions or components, by parameterizing the system with other than the currently used nominal values, by changing the ambient conditions, by changing the used raw materials, consumables, supplies or the like. Realizable would be. Generally speaking, a fictitious configuration is understood to mean a configuration of the equipment that in some way deviates from the current configuration used at a particular time.

The object of the present invention is therefore to provide a comparison with the prior art improved method or a simulation device. In particular, a possibility is to be offered for a shaping plant in order to be able to recognize potential for improvement simply, quickly and without great effort.

This is achieved by a method having the features of claim 1. Accordingly, it is provided according to the invention that at least one process value measured during operation of the shaping installation or read out of a memory of this shaping installation is used as input parameter for a model representing the fictitious configuration of the shaping installation. For the simulation device, this is achieved by the fact that a model representing the fictitious configuration of the shaping system can be created by the simulation device as a function of an input parameter on the basis of a process value of the shaping system. With the invention Method or with the simulation device according to the invention, it is now possible to determine the benefits of optional equipment in the concrete process, even before the customer has to make the investment for this equipment. In addition, it is possible to determine the use of different configurations, as they would arise by changing an operating state, by switching off or switching on individual functions or components, by parameterizing the system with other than the currently used nominal values or the like. without having to interrupt or change it. In other words, it is computer-based - without a complex change in the real configuration of the shaping system - to see what advantages or disadvantages offers a fictitious configuration.

For carrying out the method, a calculation unit is provided according to a preferred embodiment. This can also be the control unit for operation and control of the molding plant or of additional components (robots, peripherals, temperature control, etc.). It can also be a PC, a central computer or a mobile terminal.

The calculation unit is provided with data about the respective process (process variables or process values). Such data may be the set values used (setpoint values) as well as the determined measured values (actual values). Particularly simple and therefore advantageous is the transmission of these values to the calculation unit where it is part of the shaping system. If this is not the case, a suitable interface must be provided.

From the process and model sizes (= input variables), the calculation unit determines at least one characteristic using the forecasting model. For the definition of terms, a distinction is made between the input variables between model sizes and process variables. Process variables are values from a running process. These can be measured actual values or set or adjustable nominal values. Model sizes characterize a specific plant configuration. Model sizes are therefore those quantities that describe the relationship between process variables and the desired parameter for a specific system configuration. The calculation unit calculates a parameter from the input variables via the forecast model (hereinafter referred to as the calculation method). A parameter describes a specific property of a process. It may advantageously be a number.

Such characteristics describe a specific property of a process. If one compares two parameters (first and second parameter) with each other, one based on the real system configuration and the other on the basis of a fictitious system configuration, the comparison of the advantages or disadvantages of the fictitious versus the real configuration for Quantify the current process.

Under real plant configuration is to be understood the hardware and software actually used for the current process and the configuration of this hardware and software. A fictitious plant configuration would arise if plant components (hardware and / or software) were exchanged, removed, added, activated or deactivated, or if at least one parameter were changed.

Thus, the benefit of an optional equipment, a changed operating state or a different parameterization in the concrete application can be represented. A suitable representation may be the output of the parameters as numerical values with a suitable unit of measure or a comparison value formed from the parameters (difference, quotient, or the like). The appropriate unit of measurement may be a currency unit in the case of cost savings, electric power in the case of energy saving, but also a percentage value indicating the relative improvement.

Thus, the goal of a comparison of at least two characteristic quantities is achieved, wherein the first parameter is assigned to the real process (with real system configuration) and the at least one further parameter is assigned to a fictitious process (with fictitious system configuration). Through this comparison, a qualitative and quantitative statement can be made about the benefits of changing the plant configuration without actually having to change the plant configuration.

The at least two characteristic quantities can all be calculated with the aid of the prognosis model: The model variables characteristic of the real system configuration and the process variables (actual value and / or nominal value) serve as input variables for the calculation of the first parameter, while for the calculation of the further characteristic variables the model sizes characteristic of the fictitious plant configuration are used.

Alternatively, the first parameter can also be determined directly from the current process. This can be done, for example, by measuring the Parameter itself or by derivation of the characteristic from the measurement of other suitable sizes.

The calculation can also be carried out vice versa: For example, it may be useful to specify a fictitious parameter and to use the forecast model to calculate back to fictitious input variables. Alternatively, input variables can also be calculated such that the characteristic assumes an extreme value, ie a minimum or a maximum (optimization).

As such, it can be provided that the at least one process value is supplied to the calculation unit or the simulation device via a suitable interface. Thus, the calculation unit or the simulation device need not be part of the shaping system. Thus, the simulation can be carried out without actually being in the vicinity or in direct connection with the shaping system, as long as at least one specific process value that can be transmitted via the interface is available. However, it is preferably provided that the process value is used by the shaping system as an input parameter for a model representing the fictitious configuration of the shaping system.

The process value can be a specific measured or read actual value or a desired value. However, it can also be provided that the at least one process value is representative of an operating history of the shaping installation.

An example of a specific process value is the wear of a specific part of the molding plant. If one (or advantageously even more) wear value (s) is (are) present, this indicates that a better fictitious configuration is possible.

It is accordingly provided with particular advantage that a first parameter representing a real configuration of the shaping system and / or a second parameter representing the fictitious configuration of the shaping system are determined. Thus, to remain with the previous example, if a wear value of one component is "worse" after an equal number of cycles than a wear value of another component, then a replacement or change of the more worn component has greater utility, resulting in a corresponding penalty "More positive" fictitious characteristic of the fictional configuration. For a better and faster detection, it can be provided for this purpose that the first parameter and the second parameter or a comparison value characteristic of a change from the first to the second parameter are output.

Preferably, it is further provided that the process value, preferably at least two process values, of the real configuration of the shaping installation is transmitted to a calculation unit and the first parameter is calculated by this calculation unit. In this case, the calculation of the first parameter can be carried out using a first calculation method.

The first calculation method can be available via an external data carrier and a suitable interface of the calculation unit. However, it is preferably provided that the first calculation method is stored in a memory of the calculation unit.

In order to determine the second parameter, it is preferably provided that this is determined from at least one fictitious value of the shaping system and the at least one process value of the shaping system. It is preferably provided that the at least one fictitious value is stored in a memory or calculated, transmitted or entered via an input device. In particular, the at least one notional value for calculating the second parameter is transmitted to the calculation unit. The second characteristic is then calculated by the calculation unit using a second calculation method. Particularly preferably, it is provided that the second calculation method is created on the basis of the first calculation method by replacing at least one process value with a fictitious value and / or adding at least one fictitious value.

With regard to the preferred embodiments, these mutatis mutandis apply both to the method and to the simulation device. Therefore, a preferred exemplary embodiment of the simulation device is that the simulation device has a calculation unit for calculating a first parameter representing a real configuration of the molding installation and / or a second parameter representing the fictitious configuration of the molding installation. For this purpose, it is provided that the first characteristic variable can be calculated by the calculation unit from at least one, preferably from at least two, process value detected by a detection device of the shaping system. In particular, it is provided that the second parameter can be calculated by the calculation unit from at least one process value detected by the detection device and at least one fictitious value of the fictitious configuration of the shaping system that can preferably be entered.

For the simulation device is also provided that this has at least one memory in which at least a first calculation method for the calculation of the first parameter is stored by the calculation unit. From this calculation unit, based on the first calculation method, a second calculation method can be created by replacing at least one process value with a notional value and / or adding a notional value.

In order to be able to illustrate the fictitious configuration as well as possible, it is preferably provided that the simulation device has an output device for outputting the first parameter and / or the second parameter.

Furthermore, it is preferably provided that the simulation device has a comparison device with which a comparison value can be determined from the first parameter and the second parameter. This comparison value can also be output via the output device.

For ease of operation, it is provided that the simulation device has an input device, wherein the at least one notional value can be input or changed via the input device. Of course, other settings (such as changes in calculation methods, display of alternative variants, etc.) can also be made via the input device.

Basically, it is the case that all components of the simulation device (calculation unit, comparison device, output device, input device) can only be present as logical components and need not be integrated into a single structural unit. For example, the calculation unit can only be reached via an access server, while a customer can present the corresponding models via his own computer. A preferred embodiment provides that at least the output device and the input device form a unit, preferably in the form of a computer. This, preferably portable, computer can also form the calculation unit. In this case, the detection device, via which the input parameters reach the simulation device, is structurally and spatially separated from the other logical components. Alternatively, it is also possible that these components are all integrated into an existing control or regulation unit of a molding machine and thus a display of the relevant parameters takes place directly on the screen of this control or regulating unit. Likewise, it is provided that a simulation device according to the invention can be retrofitted to an existing control or regulation unit of a shaping installation.

Protection is therefore also desired for an arrangement with a simulation device according to the invention and a shaping system. It is preferably provided in such an arrangement that it has a detection device for detecting, preferably for reading out or measuring, at least one process value of the shaping system. Accordingly, the simulation device has an interface to this detection device, so that the at least one process value can be transmitted as input parameter for a model representing the fictitious configuration of the shaping system to the calculation unit of the simulation device. The retrofittable simulation device particularly preferably has an interface for connection to the detection device (or to the control unit) of the shaping system.

Further details and advantages of the present invention will be explained in more detail below with reference to the description of the figures with reference to the exemplary embodiments illustrated in the drawings. Show:

1 schematically an arrangement with a shaping system and a simulation device and

2 Details of an embodiment.

1 shows an arrangement 10 with a shaping system 1 and a simulation device 5 , The shaping system 1 has at least one shaping machine 12 and / or a peripheral device 11 on. As a peripheral device 11 is in 1 a handling robot for removing molded parts from the cavity 20 shown. peripherals 11 but may also be temperature control units, dryers, conveyors or other automation components.

The shaping machine 12 (Injection molding machine or injection press) itself has an injection unit 13 and a closing unit, wherein the closing unit comprises at least one stationary platen 14 and a movable platen 15 includes. The movable platen 15 is about a drive device 18 movable. In the illustrated three-plate machine is also an end plate 16 intended. The movable platen 17 is along the spars 17 movable. Furthermore, the shaping machine points 12 a control unit 19 on.

This control unit 19 forms the detection device 6 or stands with the detector 6 in signal connection. About this detection device 6 is in operation of the molding plant 1 at least one process value (actual value WIST or setpoint WSOLL) can be detected and as input parameter P to the simulation device 5 routable. Above all, the actual values WIST can be directly via sensors of the detection device 6 be recorded. But it is also possible these actual values WIST or the target values WSOLL (set values) in a memory 2 the shaping system 1 to save and accordingly from this memory 2 read.

The simulation device 5 has the calculation unit as logical components 3 , the comparison device 8th , the output device 7 and the input device 4 on. At least the latter two components can be a structural unit in the form of a computer 9 form. In this case, the output device 7 and the input device 4 For example, be formed together in the form of a touch screen. In addition, the input channels for the input parameters P form an interface of the simulation device 5 with the shaping plant 1 , In the calculation unit 3 At least a first calculation method B1 for calculating a first parameter KREAL is stored. In this calculation method B1 flow from the detection device 6 transmitted process values P (actual values WIST and / or setpoint values WSOLL) and the at least one model size M1. The model size / n M1 and the process values or process variables form the basis for the first calculation method B1 of a real configuration of the shaping system 1 ,

In the calculation unit 3 is also a second calculation method B2 stored. By applying this second calculation method B2 is determined by the calculation unit 3 a second, notional parameter KFIKT can be calculated. In this second calculation method flow from the detection device 6 determined process values P and the at least one model size M1. The second calculation method thus represents a model M representing the fictitious configuration of the shaping system. This notional parameter KFIKT is used for better illustration via the dispensing device 7 displayed. Alternatively or additionally, the second, fictitious characteristic KFIKT and the first, real characteristic KREAL of a comparison device 8th fed. From this comparison device 8th is a comparison value V between the first, real characteristic KREAL and the second, notional characteristic KFIKT (via a mathematical function f) can be determined. This comparison value V is also via the output device 7 displayable. For example, this can be a percentage that shows the concrete improvement at a glance.

To the possibilities of the described method and the simulation device described 5 at molding plants 1 to explain in detail, concrete embodiments are given below. The first embodiment describes the application possibility when making a decision as to whether a fictitious configuration actually brings advantages in terms of energy consumption. The second embodiment will help to detect if a forced-closing backflow valve is actually beneficial. The third embodiment illustrates the advantages of a temperature control unit with a speed-controlled pump.

Embodiment 1 - Energy-saving measures

The energy consumption of a molding machine 12 can be simplified by the in 2 represented formula can be described. The model size A is the energy in kWh required per cycle. This essentially includes the energy consumption for movements of the machine axes. Simplified, the value can be taken as a constant for a specific machine type. In a more precise calculation, the model size A can be calculated as the sum of subtotals for the individual movements. It is possible to incorporate previously determined relationships in the calculation, for example, A can be calculated as a function of the opening speed and the opening stroke.

Model size B describes the energy consumption in kWh per kg of processed material. The energy consumption can be calculated, for example, as a product of the enthalpy of the processed plastic and a previously determined plasticizing efficiency. Specific enthalpy values can be found, for example, in the specialist literature.

The model size C describes the losses (heat losses, idling power of the drives, etc.), ie essentially the energy that is the operational molding machine 12 needed without any movement of the axes takes place.

The model sizes A, B and C can therefore - previously determined by the equipment manufacturer - in a memory 2 the control unit 19 be deposited. Alternatively, these model sizes A, B and C can only be determined automatically based on the process values (in concrete terms, for example, by measuring the power consumption of drives and heaters). As measured process value (actual value WIST), the cycle time and shot weight are included in the calculation method. In both cases, the formula described allows energy consumption E with cycle time and shot weight rescaling (see 3D diagram in 2 ) and the model sizes A, B, C or parts thereof against others (fictitious value WFIKT) and thus to calculate a new energy consumption E, which corresponds to the second, notional characteristic KFIKT.

In this way, for example, the savings can be calculated by using a mass cylinder insulation by using for the real process (first calculation method B1) the proportion CMasse cylinder, uninsulated of the model size C, whereas for the fictitious process (second calculation method B2) a proportion CMasse cylinder is isolated which corresponds to the notional value WFIKT. This makes it possible to obtain a sufficiently accurate estimation for the savings by retrofitting the insulation. The same is possible for energy saving drives. These can either have lower no-load losses (model size C becomes smaller) or have a higher efficiency (model size A becomes smaller).

The energy consumption of the real system configuration can be directly via the detection device 6 be measured or calculated with model parameters that describe the real system configuration, using currently measured process values.

Exemplary Embodiment 2 - Forced-closing Backflow Lock

In certain cases, it may happen that conventional ring-backflow locks do not close sufficiently reproducible. This leads to different amounts of material from cycle to cycle in the injection mold between the platens 14 and 15 be injected. Quality fluctuations, in particular shot weight fluctuations, are the result. Whether such fluctuations exist in the current process can be assessed, for example, based on the mass cushion. By mass cushion is meant the amount of melt remaining after the mold filling cycle in the mass cylinder of the injection unit 13 is left over. If this amount fluctuates, it can be concluded, to a first approximation, that the amount of melt that has entered the mold is subject to such fluctuations.

With a simple forecasting model (first calculation method B1), it is thus possible to calculate a standard deviation from the mass cushion of a number of consecutive cycles (with corresponding process values), resulting in the first, real parameter KREAL for the lock closure behavior of the real system configuration.

As a second, notional parameter KFIKT for a fictitious plant configuration, the forecasting model (second calculation method B2) can now also output a typical standard deviation for the closure behavior of a positively locking barrier. In the simplest case, this standard deviation for different locking diameters can be stored as an empirically determined, fictitious value WFIKT as model size M2 in the prognosis model. The process value is therefore the lock diameter in this case. The calculation method B2 supplies the stored standard deviation as a notional parameter KFIKT for a specific lock diameter. In order to obtain a more accurate result, a refined model is appropriate, which considers other process variables (eg the material to be processed) in addition to the blocking diameter for determining the standard deviation as a fictitious parameter.

By the presence of the two parameters KREAL and KFIKT it is now possible to recognize the concrete benefit that would be brought by the replacement of the ring backflow block against a foreclosure lock. An example of such a forcible lock comes from the DE 10 2012 015 337 A1 out.

Exemplary embodiment 3 - Temperature control unit with variable-speed pump

In the patent application DE 10 2014 001 346 A1 a method for determining the minimum required flow rate for a temperature control circuit of a forming tool is described. In practice, the knowledge of the actually required flow rates is often missing. Therefore, for safety's sake, a larger flow rate is provided than would actually be required for economical operation.

Reducing the flow rate to a value just sufficient for cooling the molded parts for a given cycle time can reduce energy consumption. A reduction in the flow rate can be achieved by throttling before the tool or preferably by using a temperature control unit with lower pump power or with variably adjustable pump power.

The use of temperature control devices with lower power also means lower investment costs for the devices.

For the purposes of this invention, it is now provided that the flow rates (process values) of the individual cooling circuits are determined for the current process and the real system configuration. The determination can be made by automatic measurement, if appropriate sensors is available. This results in a real parameter KREAL.

The forecast model (second calculation method B2) determines the minimum required flow rate for each temperature control circuit. For this purpose, inputs (fictitious values WFIKT) may be required by the machine setter, for example geometry data of the temperature control channels. The then determined minimum flow rates represent fictitious characteristics KFIKT for a fictitious configuration of the shaping system 1 representing model.

The flow rates can now be used as fictitious parameters KFIKT for comparison with the real parameters KREAL. Alternatively, an energy demand can also be calculated from the flow rates and used as a parameter for the comparison. Another possibility is the conversion into a monetary saving.

Thus, the present invention provides a simple and convenient way to a user of a molding plant 1 to show if optional equipment of the molding plant 1 the establishment of a specific operating state, the switching on or off of individual functions or components, the parameterization of the system with other than the currently used nominal values, the changing of the environmental conditions or the changing of the raw materials used (fictitious configuration) actually advantages over the existing equipment, the current operating state, etc. (real configuration) brings. Above all, it is illustrated in a simple and understandable way by the output of concrete parameters KREAL and KFIKT or by the output of a comparison value V.

• – Messen oder Auslesen eines Prozesswerts W_IST, W_SOLL der Formgebungsanlage 1, wobei dieser wenigstens eine Prozesswert W_IST, W_SOLL im Betrieb dieser Formgebungsanlage 1 gemessen oder aus einem Speicher 2 dieser Formgebungsanlage 1 ausgelesen wird,
• – Übermitteln des wenigstens einen Prozesswerts W_IST, W_SOLL an eine Berechnungseinheit 3,
• – Ermitteln einer ersten, eine reale Konfiguration der Formgebungsanlage 1 repräsentierenden Kenngröße K_REAL, wobei die erste Kenngröße K_REAL von der Berechnungseinheit 3 berechnet wird,
• – Übermitteln eines fiktiven Werts W_FIKT der Formgebungsanlage 1 an die Berechnungseinheit 3,
• – Ermitteln einer zweiten, die fiktive Konfiguration der Formgebungsanlage 1 repräsentierenden Kenngröße K_FIKT, wobei die zweite Kenngröße K_FIKT aus dem wenigstens einen fiktiven Wert W_FIKT der Formgebungsanlage 1 und dem wenigstens einen Prozesswert W_IST, W_SOLL der Formgebungsanlage 1 durch die Berechnungseinheit 3 berechnet wird, sodass der wenigstens eine Prozesswert W_IST, W_SOLL als Eingabeparameter P für ein die fiktive Konfiguration der Formgebungsanlage 1 repräsentierendes Modell M verwendet wird.

Finally, it can be stated that in a particularly preferred method for simulating a fictitious configuration of a shaping installation 1 at least the following method steps are carried out:

• - Measuring or reading a process value W _IS , W _SOLL the molding plant 1 , wherein this is at least one process value W _IS , W _SOLL in the operation of this shaping plant 1 measured or from a memory 2 this shaping plant 1 is read,
• - Transmission of the at least one process value W _IST , W _SOLL to a calculation unit 3 .
• - Determining a first, a real configuration of the molding plant 1 representing characteristic K _REAL , wherein the first characteristic K _REAL of the calculation unit 3 is calculated,
• - transmission of a fictitious value W _{FIKT of} the molding plant 1 to the calculation unit 3 .
• - Determining a second, the fictitious configuration of the molding plant 1 characteristic parameter K _FIKT , wherein the second characteristic K _FIKT from the at least one notional value W _{FIKT of} the shaping system 1 and the at least one process value W _IS , W _SOLL the shaping plant 1 through the calculation unit 3 is calculated, so that the at least one process value W _IS , W _SOLL as input parameter P for a fictitious configuration of the molding plant 1 representing model M is used.

In addition, a particularly preferred embodiment of the simulation device 5 for simulating a fictitious configuration of a molding plant 1 a detection device 6 for detecting at least one process value W _IST , W _SOLL the shaping plant 1 and a calculation unit 3 for calculating a first, a real configuration of the molding plant 1 representative characteristic K _REAL and a second, the fictitious configuration of the shaping system 1 characteristic parameter K _FIKT , wherein the calculation unit ( 3 ) from at least one of a detection device 6 the shaping system 1 detected process value W _IS , W _SOLL the first characteristic K _{REAL is} calculable and where by the calculation unit 3 from at least one, from the detection device 6 detected process value W _IST , W _SOLL and at least one fictitious value W _FIKT the fictitious configuration of the shaping system 1 the second parameter K _{FIKT is} calculable, so that by the simulation _device 5 as a function of one on which at least one process value W _IS , W _SOLL the shaping plant 1 based input parameter P a the fictitious configuration of the shaping system 1 representing model M is producible.

LIST OF REFERENCE NUMBERS

1

forming plant

2

Storage

3

calculation unit

4

input device

5

simulation device

6

detector

7

output device

8th

comparison means

9

computer

10

arrangement

11

peripheral

12

forming machine

13

Injection unit

14

fixed platen

15

movable platen

16

faceplate

17

Holme

18

driving device

19

Control unit

20

cavity

W _IS

Actual value

P

input parameters

M

model

K _REAL

first, real characteristic

K _FICT

second, fictitious characteristic

V

comparison value

B ₁

first calculation method

M ₁

Model sizes for first calculation method

W _FICT

fictitious value

B ₂

second calculation method

M ₂

Model sizes for second calculation method

A

size

B

size

C

size

W _SHOULD

setpoint

e

power consumption

f

function

QUOTES INCLUDE IN THE DESCRIPTION

This list of the documents listed by the applicant has been generated automatically and is included solely for the better information of the reader. The list is not part of the German patent or utility model application. The DPMA assumes no liability for any errors or omissions.

Cited patent literature

• US 2011/0289012 A1 [0002]
• EP 1233357 A1 [0002]
• DE 102012015337 A1 [0052]
• DE 102014001346 A1 [0053]

Claims (27)

Method for simulating a fictitious configuration of a shaping installation ( 1 ), wherein at least one during operation of this molding plant ( 1 ) measured or from a memory ( 2 ) of this shaping plant ( 1 ) read out process value (W _ACT , W _SOLL ) as an input parameter (P) for a fictitious configuration of the shaping system ( 1 ) (M) is used. Method according to claim 1, wherein the at least one process value (W _IST , W _SOLL ) is determined by the shaping device ( 1 ) as an input parameter (P) for the fictitious configuration of the shaping installation ( 1 ) representing model (M) is used. Method according to claim 1 or 2, wherein the at least one process value (W _IST , W _SOLL ) is representative of an operating history of the shaping plant ( 1 ). Method according to one of claims 1 to 3, wherein a first, a real configuration of the molding plant ( 1 ) representative characteristic (K _REAL ) and / or a second, the fictitious configuration of the molding plant ( 1 ) (K _FIKT ). The method of claim 4, wherein the first characteristic (K _REAL ) and the second characteristic (K _FIKT ) or a for a change from the first characteristic (K _REAL ) to the second characteristic (K _FIKT ) characteristic comparison value (V) are output. Method according to claim 4 or 5, wherein the at least one process value (W _IST , W _SOLL ), the real configuration of the shaping plant ( 1 ) to a calculation unit ( 3 ) and transmitted by this calculation unit ( 3 ) the first parameter (K _REAL ) is calculated. The method of claim 6, wherein the calculation of the first characteristic (K _REAL ) using a first calculation method (B ₁ ) takes place. Method according to claim 7, wherein the first calculation method (B ₁ ) is stored in a memory of the calculation unit ( 3 ) is stored. Method according to one of claims 5 to 8, wherein the second parameter (K _FIKT ) from at least one notional value (W _FIKT ) of the molding plant ( 1 ) and the at least one process value (W _IST , W _SOLL ) of the shaping system ( 1 ) is determined. Method according to claim 9, wherein the at least one fictitious value (W _FIKT ) in the memory ( 2 ) of the molding plant ( 1 ) or calculated, transmitted or transmitted via an input device ( 4 ) is entered. The method of claim 9 or 10, wherein the at least one fictitious value (W _fict) for calculating the second parameter (K _fict) (to the calculation unit 3 ) is transmitted. Method according to claim 11, wherein the calculation of the second characteristic (K _FIKT ) by the calculation unit ( 3 ) using a second calculation method (B ₂ ). Method according to claim 12, wherein the second calculation method (B ₂ ) is stored in a memory of the calculation unit ( 3 ) is stored. A method according to claim 12 or 13, characterized in that the second calculation method (B ₂ ) on the basis of the first calculation method (B ₁ ) is created by at least one process value (W _IST , W _SOLL ) by a notional value (W _FIKT ) replaced and / or at least one fictitious value (W _FIKT ) is added. Simulation device ( 5 ) for simulating a fictitious configuration of a molding plant ( 1 ), in particular for carrying out a method according to one of claims 1 to 14, wherein the simulation device ( 5 ) as a function of, on at least one process value (W _IST , W _SOLL ) of the shaping installation ( 1 input parameter (P) is a fictitious configuration of the shaping system ( 1 ) representing model (M) is producible. Simulation device according to claim 15, wherein the simulation device ( 5 ) a calculation unit ( 3 ) for calculating a first, a real configuration of the molding plant ( 1 ) representative characteristic (K _REAL ) and / or a second, the fictitious configuration of the molding plant ( 1 ) (K _FIKT ). A simulation device according to claim 16, wherein the calculation unit ( 3 ) from at least one of a detection device ( 6 ) of the molding plant ( 1 ) detected process value (W _IST , W _SOLL ) the first characteristic (K _REAL ) can be calculated. A simulation device according to claim 16 or 17, wherein the calculation unit ( 3 ) from at least one of the detection means ( 6 ) Process detected value (W, _{W SOLL)} and at least one fictitious value (W _fict) of the fictitious configuration of the forming plant ( 1 ) the second characteristic (K _FIKT ) is calculable. A simulation device according to any one of claims 16 to 18, wherein the Simulation device ( 5 ) an output device ( 7 ) for outputting the first characteristic (K _REAL ) and / or the second characteristic (K _FIKT ). Simulation device according to one of claims 16 to 19, wherein the simulation device ( 5 ) a comparison device ( 8th ), with which from the first characteristic (K _REAL ) and the second characteristic (K _FIKT ) a comparison value (V) can be determined. A simulation device according to claim 20, wherein the output device ( 7 ) the comparison value (V) can be output. Simulation device according to one of claims 18 to 21, wherein the simulation device ( 5 ) an input device ( 4 ), wherein the at least one fictitious value (W _FIKT ) via the input device ( 4 ) can be entered or changed. A simulation device according to claim 22, wherein the output device ( 7 ) and the input device ( 4 ) a unit, preferably a computer ( 9 ), form. Shaping plant with a simulation device ( 5 ) according to one of claims 15 to 23, wherein the simulation device ( 5 ) has at least one memory in which at least one first calculation method (B ₁ ) for the calculation of the first parameter (K _REAL ) by the calculation unit ( 3 ) is deposited. Shaping plant according to claim 24, characterized in that the calculation unit ( 3 ) based on the first calculation method (B ₁ ) a second calculation method (B ₂ ) by replacing at least one process value (W _IST , W _SOLL ) by a notional value (W _FIKT ) and / or by adding a fictitious value (W _FIKT ) can be created is. Arrangement ( 10 ) with a simulation device ( 5 ) according to one of claims 15 to 23 and a shaping installation ( 1 ). Arrangement according to claim 26, wherein the shaping device ( 1 ) a detection device ( 6 ) for detecting, preferably for reading out or measuring, at least one process value (W _IST , W _SOLL ) of the shaping installation ( 1 ) having.

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