EP4045983A1 - Procédé d'optimisation basée sur un modèle d'un produit en film lors d'un processus de production sur un système d'extrusion de film - Google Patents

Procédé d'optimisation basée sur un modèle d'un produit en film lors d'un processus de production sur un système d'extrusion de film

Info

Publication number
EP4045983A1
EP4045983A1 EP20789569.9A EP20789569A EP4045983A1 EP 4045983 A1 EP4045983 A1 EP 4045983A1 EP 20789569 A EP20789569 A EP 20789569A EP 4045983 A1 EP4045983 A1 EP 4045983A1
Authority
EP
European Patent Office
Prior art keywords
model
optimization
parameter
production
prioritized
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Pending
Application number
EP20789569.9A
Other languages
German (de)
English (en)
Inventor
Martin Backmann
Markus Bussmann
Melanie Schuh
Lennart Ederleh
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
WINDMOELLER & HOELSCHER SE & CO. KG
Original Assignee
Windmoeller and Hoelscher KG
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Windmoeller and Hoelscher KG filed Critical Windmoeller and Hoelscher KG
Publication of EP4045983A1 publication Critical patent/EP4045983A1/fr
Pending legal-status Critical Current

Links

Classifications

    • 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
    • B29C48/00—Extrusion moulding, i.e. expressing the moulding material through a die or nozzle which imparts the desired form; Apparatus therefor
    • B29C48/25—Component parts, details or accessories; Auxiliary operations
    • B29C48/92—Measuring, controlling or regulating
    • 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—Program-control systems
    • G05B19/02—Program-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
    • B29C48/00—Extrusion moulding, i.e. expressing the moulding material through a die or nozzle which imparts the desired form; Apparatus therefor
    • B29C48/03—Extrusion moulding, i.e. expressing the moulding material through a die or nozzle which imparts the desired form; Apparatus therefor characterised by the shape of the extruded material at extrusion
    • B29C48/07—Flat, e.g. panels
    • B29C48/08—Flat, e.g. panels flexible, e.g. films
    • 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
    • G05B13/00—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion
    • G05B13/02—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric
    • G05B13/04—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric involving the use of models or simulators
    • G05B13/042—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric involving the use of models or simulators in which a parameter or coefficient is automatically adjusted to optimise the performance
    • 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]

Definitions

  • the present invention relates to a method for a model-based optimization of a film product during manufacture on a
  • film extrusion systems can be evaluated on the basis of input parameters and output parameters with regard to a production situation and / or with regard to a film product situation. This applies in particular to the setting, that is to say the control and / or regulation of the film extrusion system.
  • a large number of input parameters are necessary in order to set the film extrusion system in such a way that it generates a defined film product situation.
  • Such Input parameters can be, for example, parameters of the raw materials, parameters of the recipe, but also parameters of the film extrusion system itself.
  • the evaluation of the quality of the film product also depends on a large number of parameters. For example, the usage parameter, i.e. the actual fulfillment of a function of the film, but also measurable film parameters such as tear resistance or stretchability can be used here as output parameters.
  • a method is used for a model-based optimization of a film product during manufacture on a film extrusion system by means of a production model of this film extrusion system.
  • Such a procedure has the following steps:
  • a method according to the invention is based on the fact that the film extrusion system can be mapped in a production model with regard to at least some model parameters.
  • a production model can be a simulation model which has an algorithmic part, an empirical model part and / or an artificial intelligence model part. These different parts of the simulation model can be combined or used on their own to provide a production model of a film extrusion system.
  • Such a production model can be created on the basis of known parameter relationships, but also on known training data in the form of production orders that have already been run through historically on film extrusion systems. If the production model has so-called artificial intelligence, such historical data can be used as training data for Example can be used in a deep learning system to train the production model.
  • two model parameters of the production model are recorded in a first step.
  • a basic distinction must be made here as to whether the
  • Model parameters represent input parameters or output parameters of the production model.
  • the optimization method according to the invention can be recorded both for input parameters and for output parameters.
  • a correlation that is to say the acquisition of input parameters and output parameters, is also fundamentally conceivable within the scope of the present invention.
  • the acquisition of the input parameters and the output parameters describes, on the basis of the data of these respective parameters, on the one hand the production situation of the film extrusion plant for the input parameters and on the other hand
  • a production situation includes, for example, values and parameters, but also the basic production stability of the film extrusion line.
  • the film product situation is in particular one or more parameters or parameter combinations which make it possible to evaluate the quality or quantity of the film product.
  • At least one model parameter of the production model is prioritized for the optimization.
  • the at least one prioritized model parameter can be either one of the recorded model parameters or a model parameter that has not yet been recorded.
  • a final step of the method according to the invention at least one non-prioritized model parameter is now changed on the basis of the formed parameter relationship for optimizing the at least one prioritized model parameter.
  • the step of prioritizing the model parameters can be selected which is to be optimized for the film extrusion system when carrying out the method. If, for example, the energy requirement of the film extrusion system is prioritized as the model parameter, then in the final step one or more model parameters of the production model can be changed in such a way that the prioritized model parameter of the energy requirement changes. With regard to the energy requirement, it can be assumed that a reduction in the energy requirement is desired, and therefore the optimization of the other model parameters is also aimed at this change in the prioritized model parameter of the energy requirement.
  • the optimization process can now run with computer support independently of the film extrusion system.
  • Such a method can now carry out an optimization through the parameter relationship of the production model, which can then be implemented with optimized model parameters on the real film extrusion plant. If, in the example described above, the optimization to a reduced energy requirement leads, for example, to the fact that the film extrusion system has to be operated with a changed temperature situation or other raw material parameters, then these changed, non-prioritized model parameters are implemented on the real film extrusion system, so that there is a high probability that reality, the optimized design of the prioritized model parameter and, in this example, a reduced energy requirement will now set.
  • a method according to the invention thus enables both direct and indirect influences on model parameters. It is therefore a question of a model-based optimization, in particular independently, i.e. offline, of the film extrusion system.
  • a model-based optimization in particular independently, i.e. offline, of the film extrusion system.
  • such an optimization can represent a one-time optimization, but also an ongoing optimization.
  • the step of changing, but also all steps of the method are carried out several times, in particular in an iterative manner.
  • a model parameter of the film product itself for example the thickness of the film, can lead to optimization options.
  • the production of a thicker film would enable a more economical and / or faster and thus more cost-effective production overall.
  • an optimization goal and / or an optimization direction is specified. This makes it possible to improve the optimization not only with regard to the prioritized model parameter, but also in the direction of the desired optimization.
  • the optimization direction provides for a reduction in the energy requirement.
  • An optimization target in the sense of a maximum energy requirement limit can also be provided, which should be undershot by the optimization.
  • the optimization target can also be provided as a target corridor and thus an optimization target corridor.
  • a further advantage can be achieved if, in a method according to the invention, when changing the at least one non-prioritized model parameter, a change limit and / or a change direction is specified. This can ensure that undesired change directions are avoided. In particular, a wrong direction of the optimization can be avoided.
  • a change limit also makes it possible, in the case of non-prioritized model parameters, to avoid this limit being exceeded when optimizing the prioritized model parameter. For example, in the case of the thickness of the film, falling below a minimum thickness for a certain recipe can massively impair the stability during production.
  • the step of changing the at least one non-prioritized model parameter is repeated several times, in particular in an automated manner.
  • this iterative repetition in particular in an automated manner, will even have an automatic evaluation of an optimization result.
  • the evaluation and realignment of the optimization direction can thus be carried out anew with each iterative run, so that a simulation running purely on a computer can carry out this optimization.
  • the iterative implementation and in particular the feedback loop built into each iteration can increase the complexity of the desired optimization tasks even further and further improve the quality of the resulting optimization solutions.
  • an optimization result for the prioritized at least one model parameter is determined and, in particular, evaluated on the basis of the changed at least one non-prioritized model parameter by means of the parameter relationship formed.
  • an evaluation of the optimization or an evaluation of the result of the optimization will take place.
  • the simulation of the production after the optimization can therefore represent an additional simulation following the optimization, and thus verify the result of the optimization, so to speak.
  • the same production model can be used for the simulation of the production as it is used for the optimization. In principle, however, it is also conceivable to use a different production model so that two production models check each other, so to speak, i.e.
  • a specific film extrusion system is selected on the basis of the optimization of the at least one prioritized model parameter and / or on the basis of the changed at least one non-prioritized model parameter.
  • Film extrusion systems can develop in different directions, especially over the duration of use and the wear and tear that occurs in the process.
  • a specific film extrusion system can be better suited for production than another.
  • production can achieve the optimized advantages in a particularly positive way.
  • the optimization process can additionally support or even carry out production planning. This is particularly advantageous when used for specific Film extrusion systems specific production models can be used for the simulations after the optimization.
  • At least one input parameter in the form of a new raw material parameter is used for the optimization. If, for example, a new raw material is used for the first time in an existing film extrusion line, this new raw material can only be incorporated into existing recipes using the optimization process and checked for optimization potential. On the basis of this raw material, an optimization method according to the invention can be used to design and optimize a new recipe, so to speak, and thus also new film product properties. This is particularly true in combination with the corresponding parameters for this new raw material.
  • At least one output parameter in the form of a new film parameter is used for the optimization.
  • a design of a new film product based on a film property can speak of a design of a new film product based on a film property.
  • this can be combined with a new raw material parameter in accordance with the preceding paragraph.
  • a new product idea for example a new barrier property or the like, can be automatically provided with a new recipe using the optimization process.
  • the present invention also relates to a computer program product comprising instructions which, when the program is executed on a computer, cause the computer to carry out the steps of a method according to the invention.
  • a computer program product according to the invention thus has the same advantages as have been explained in detail with reference to a method according to the invention.
  • Figure 1 shows an embodiment of a film extrusion system
  • FIG. 2 a further embodiment of a film extrusion system
  • Figure 3 shows an embodiment of the use of the production model
  • Figure 4 shows another use of a production model
  • FIG. 5 shows an illustration of an optimization target
  • FIG. 6 shows an illustration of a change limit.
  • FIGS. 1 and 2 schematically show a possibility of film extrusion systems 10.
  • FIG. 1 shows a film extrusion system 10 in the form of a flat film extrusion system, which here schematically has two extruders 20. These two extruders 20 make the corresponding melt available to a flat-shaped nozzle 30, via which a film web 40 is discharged and cooled on a cooling roller. Finally, this film web 40 is wound up on a winding roll 50.
  • FIG. 2 shows a blown film device as a film extrusion system 10, which here also has two extruders 20. The extrusion material is melted and fed to a nozzle 30 in the form of a ring, so that a bubble can be inflated as a film web 40. The flattened film web 40 is deflected and likewise wound up again on a winding roll 50.
  • FIGS. 3 and 4 show schematically how input parameters EP are now linked to output parameters AP in a production model.
  • the production model PM can for example have an artificial intelligence, an empirical simulation model and / or an algorithmic simulation model.
  • the production model PM is bidirectional, even multidirectional, so that the link according to FIG. 3 can be provided from left to right or according to FIG. 4 from right to left or also in a combined manner for different directions of the model parameters MP.
  • the optimization is carried out with specification of at least one model parameter MP to be optimized and thus prioritized.
  • non-prioritized model parameters MP are changed until the prioritized model parameter MP has moved in a desired direction or in a desired destination.
  • FIG. 5 shows a criterion for such an optimization.
  • a model parameter MP is to be optimized from a starting point along an optimization direction OR over several optimization runs.
  • the optimization direction in FIG. 5 indicates that the data of the model parameter MP should increase.
  • the optimization direction OR can additionally or alternatively also be specified by an optimization target OZ, which is able to provide the limit which the model parameter MP should exceed along the optimization direction OR.
  • the optimization result OE is also shown here in FIG. 5, which is above the optimization target OZ. Exceeding the optimization target OZ can also be defined as a termination criterion in order to end the optimization accordingly.
  • FIG. 6 can additionally or alternatively be used for optimization and relates to model parameters MP that are not prioritized and therefore changed.
  • the change should also be provided, for example, with a change direction VR, with the model parameter MP also increasing here along a change direction VR.
  • a corridor is provided here with change limits VG, which should not be exceeded or fallen short of.
  • FIG. 6 is a slightly increased added value for the model parameter MP as a change result VE.

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  • Engineering & Computer Science (AREA)
  • General Physics & Mathematics (AREA)
  • Automation & Control Theory (AREA)
  • Physics & Mathematics (AREA)
  • Mechanical Engineering (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Health & Medical Sciences (AREA)
  • Artificial Intelligence (AREA)
  • Evolutionary Computation (AREA)
  • Medical Informatics (AREA)
  • Software Systems (AREA)
  • Manufacturing & Machinery (AREA)
  • Quality & Reliability (AREA)
  • General Engineering & Computer Science (AREA)
  • Extrusion Moulding Of Plastics Or The Like (AREA)

Abstract

L'invention concerne un procédé d'optimisation basée sur un modèle d'un produit en film lors d'un processus de production sur un système d'extrusion de film (10) faisant intervenir un modèle de production (PM) du système d'extrusion de film (10), comprenant les étapes suivantes consistant à : détecter au moins deux paramètres de modèle (MP) sous la forme de paramètres d'entrée (EP) du modèle de production (PM) afin de prédire une situation de production du système d'extrusion de film (10) et/ou au moins deux paramètres de modèle (MP) sous la forme de paramètres de sortie (AP) du modèle de production (PM) afin de prédire une situation de produit en film du système d'extrusion de film (10), former une relation de paramètres entre les paramètres de modèle (MP) détectés à l'aide du modèle de production (PM), classer par ordre de priorité au moins un paramètre de modèle (MP) du modèle de production (PM) pour le processus d'optimisation, et modifier au moins un paramètre de modèle (MP) non prioritaire du modèle de production (PM) sur la base de la relation de paramètres formée afin d'optimiser le paramètre de modèle (MP) prioritaire.
EP20789569.9A 2019-10-14 2020-10-08 Procédé d'optimisation basée sur un modèle d'un produit en film lors d'un processus de production sur un système d'extrusion de film Pending EP4045983A1 (fr)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
DE102019127550.4A DE102019127550A1 (de) 2019-10-14 2019-10-14 Verfahren für eine modellbasierte Optimierung eines Folienproduktes bei einer Herstellung auf einer Folienextrusionsanlage
PCT/EP2020/078239 WO2021073999A1 (fr) 2019-10-14 2020-10-08 Procédé d'optimisation basée sur un modèle d'un produit en film lors d'un processus de production sur un système d'extrusion de film

Publications (1)

Publication Number Publication Date
EP4045983A1 true EP4045983A1 (fr) 2022-08-24

Family

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Family Applications (1)

Application Number Title Priority Date Filing Date
EP20789569.9A Pending EP4045983A1 (fr) 2019-10-14 2020-10-08 Procédé d'optimisation basée sur un modèle d'un produit en film lors d'un processus de production sur un système d'extrusion de film

Country Status (4)

Country Link
US (1) US12459186B2 (fr)
EP (1) EP4045983A1 (fr)
DE (1) DE102019127550A1 (fr)
WO (1) WO2021073999A1 (fr)

Families Citing this family (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
DE102019127545A1 (de) * 2019-10-14 2021-04-15 Windmöller & Hölscher Kg Verfahren für eine modellbasierte Bestimmung von Modellparametern
DE102021112619A1 (de) * 2021-05-14 2022-11-17 Windmöller & Hölscher Kg Verfahren zur Herstellung von Folie aus einer Gesamtmenge an Rohstoffen mit einer Folienextrusionsmaschine sowie Computerprogrammprodukt zur Durchführung des Verfahrens
CN118406309B (zh) * 2024-05-08 2025-02-11 中山市有信新材料有限公司 一种塑料耐候色母粒

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Publication number Priority date Publication date Assignee Title
DE10059567A1 (de) * 2000-11-30 2002-06-13 Siemens Ag Verfahren und Vorrichtung zur Berechnung von Prozessgrößen eines industriellen Prozesses
US20040148144A1 (en) * 2003-01-24 2004-07-29 Martin Gregory D. Parameterizing a steady-state model using derivative constraints
DE102009054905A1 (de) * 2009-12-17 2011-06-22 Robert Bosch GmbH, 70469 Verfahren zum Ermitteln von Funktionsparametern für ein Steuergerät
WO2016180235A1 (fr) * 2015-05-13 2016-11-17 Shenzhen University Système et procédé d'optimisation lumineuse
DE102017007140A1 (de) * 2016-10-18 2018-04-19 Reifenhäuser GmbH & Co. KG Maschinenfabrik Verfahren zum indirekten Ableiten einer systematischen Abhängigkeit zwischen einer Einstellgröße und einer optischen Eigenschaft einer Folienbahn, Verfahren zum Anpassen der Qualität einer Folienbahn, Verfahren zum Herstellen einer Folienbahn sowie Vorrichtung zum Herstellen einer Folienbahn
EA037650B1 (ru) * 2016-10-18 2021-04-27 Райфенхойзер Гмбх Унд Ко. Кг Машиненфабрик Способ контроля производственного процесса, способ косвенного выведения систематической зависимости, способ адаптации качества, способ запуска производственного процесса, способ и установка для изготовления экструзионного продукта
US10877654B1 (en) * 2018-04-03 2020-12-29 Palantir Technologies Inc. Graphical user interfaces for optimizations
GB2587206B (en) * 2019-09-17 2021-12-22 Milestone Systems As Method, device, and computer program for setting parameters values of a video source device
EP3798660A1 (fr) * 2019-09-25 2021-03-31 Siemens Healthcare GmbH Procédé de fourniture des ensembles de paramètres de réglage pour un dispositif de résonance magnétique, procédé de fonctionnement d'un dispositif de résonance magnétique, dispositif de fourniture, dispositif de résonance magnétique et programme informatique

Also Published As

Publication number Publication date
US12459186B2 (en) 2025-11-04
US20230330909A1 (en) 2023-10-19
WO2021073999A1 (fr) 2021-04-22
DE102019127550A1 (de) 2021-04-15

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