EP4577887A1 - Procédé et dispositif pour déterminer des paramètres de traitement - Google Patents

Procédé et dispositif pour déterminer des paramètres de traitement

Info

Publication number
EP4577887A1
EP4577887A1 EP23813573.5A EP23813573A EP4577887A1 EP 4577887 A1 EP4577887 A1 EP 4577887A1 EP 23813573 A EP23813573 A EP 23813573A EP 4577887 A1 EP4577887 A1 EP 4577887A1
Authority
EP
European Patent Office
Prior art keywords
component
parameter set
media
parameter
optimized
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
EP23813573.5A
Other languages
German (de)
English (en)
Inventor
Carsten Schuh
Thomas Soller
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.)
Siemens AG
Siemens Corp
Original Assignee
Siemens AG
Siemens Corp
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 Siemens AG, Siemens Corp filed Critical Siemens AG
Publication of EP4577887A1 publication Critical patent/EP4577887A1/fr
Pending legal-status Critical Current

Links

Classifications

    • 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
    • G05B19/18—Numerical control [NC], i.e. automatically operating machines, in particular machine tools, e.g. in a manufacturing environment, so as to execute positioning, movement or co-ordinated operations by means of program data in numerical form
    • G05B19/406—Numerical control [NC], i.e. automatically operating machines, in particular machine tools, e.g. in a manufacturing environment, so as to execute positioning, movement or co-ordinated operations by means of program data in numerical form characterised by monitoring or safety
    • G05B19/4069—Simulating machining process on screen
    • 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
    • G05B2219/35—Nc in input of data, input till input file format
    • G05B2219/35346—VMMC: virtual machining measuring cell simulate machining process with modeled errors, error prediction
    • 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
    • G05B2219/49—Nc machine tool, till multiple
    • G05B2219/49043—Control of lubrication

Definitions

  • the present invention relates to a method for determining process parameters of a process device, wherein the process device is designed for an automated machining process on a component in which at least one process medium is used. Furthermore, the invention relates to a method for machining a component in such a process device as well as a computer program product and a device for carrying out the method.
  • the amount of a process medium used is usually set independently of the parameters of the individual component so that the process goal is reliably achieved and the other boundary conditions of the respective process step are reliably adhered to.
  • the amount of a (liquid or gaseous) coolant is selected so that overheating of the component to be processed is avoided with a high degree of certainty.
  • the amount of a cleaning fluid is selected so that any contaminants that may be present are removed with a high degree of certainty.
  • the individual parameters of the component to be processed are often not taken into account. Rather, the amount of process medium used is determined primarily by the processing parameters set in the process device, with empirical values with the processing parameters being used to estimate the necessary dosage. This approach often leads to high quantities of process medium being used.
  • the correspondingly high material consumption can have a negative impact on the economic efficiency of the machining process. Further disadvantages can also arise from the fact that the high quantities of media can lead to correspondingly high environmental pollution (e.g. during production and/or disposal of the process medium) or to health risks for the personnel working with the process device.
  • the object of the invention is therefore to provide a method for setting process parameters in a process device which overcomes the disadvantages mentioned.
  • a method is to be made available which enables a comparatively resource-saving use of the process medium.
  • a further object is to provide a corresponding processing method and a Computer program product and a device which are designed to carry out the respective method.
  • the device described in 15 is released.
  • the method according to the invention is in particular a computer-aided method and serves to determine process parameters for a process device.
  • This process device is designed for an automated machining process on a component, wherein at least one process medium is used in the process.
  • the method comprises the following steps: a) specifying a component parameter set for the component to be machined, b) specifying a machining parameter set for the machining process to be carried out, c) providing a simulation model for the machining process which describes one or more parameters of the machining process depending on the component parameter set, the machining parameter set and a variable media parameter set for the process medium to be used, d) specifying a limit value to be observed during the machining process for a selected parameter, e) simulating the machining process using the simulation model in several sub-steps e ⁇ ), whereby different media parameter sets are selected for each of the individual sub-steps e ⁇ ), whereby an optimized media parameter set is determined overall, in which the limit value for the selected parameter is observed, f) Setting the
  • Steps a) to e) can be carried out in a simulation device, which can either be part of the process device mentioned or can be outsourced from it.
  • the order, in particular of steps a) to d), does not have to correspond to the order given, but can in principle be arbitrary.
  • step e) is expediently carried out after the four steps a) to d), since in steps a) to d) the fixed parameters and boundary conditions essential for the simulation are defined.
  • process parameters are defined here which are not primarily related to the process medium and which are therefore kept constant during the execution of a simulation cycle in step e).
  • the process device can generally be an industrial manufacturing device.
  • step c the simulation model to be used for the actual simulation is provided , by which one or more parameters are predicted depending on the specified parameters .
  • step e After the essential input data for the simulation have been provided in steps a) to d), the actual simulation is carried out in step e). This is carried out in several sub-steps e ⁇ ), whereby different media parameter sets are selected in the individual sub-steps e ⁇ ). At least one essential media parameter should therefore be varied from step to step, for example an amount of media used and/or a chemical composition of the process medium.
  • a calculated value is obtained for the selected parameter, and this calculated value is compared with at least one limit value to be observed.
  • the sequence of the sub-steps can in particular be iterative. This is not, however, absolutely necessary, and alternatively, individual sub-steps can be carried out in parallel.
  • a media parameter set is determined in each case which just about meets the limit value for the selected parameter.
  • a minimum amount of media required for a given composition can be determined in this way.
  • the composition of the process medium can also be optimized with regard to a predefined optimization criterion (e.g. low process costs, lowest total amount required, good environmental compatibility and/or low health impact).
  • a predefined optimization criterion e.g. low process costs, lowest total amount required, good environmental compatibility and/or low health impact.
  • an optimized media parameter set tailored to the component and processing parameters is determined by simulation, which is set as a process parameter in the subsequent step f) for carrying out the processing process.
  • the optimized media parameter set can be passed on to a control device within the process device and set there as a process parameter.
  • the method described achieves the result that, with the help of a computer-aided simulation preceding the actual machining process, an optimized media parameter set is found which is optimized in particular for the lowest possible media quantity and/or low environmental impact or low health risk. It is important that this optimization is component-specific, i.e. that the optimization depends not only on the other machining parameters, but also on the component parameters, e.g. on the size, shape and/or the material of the individual component to be machined. By taking the component properties into account individually in the preceding simulation, the process medium used can be optimized particularly precisely. Overall, this component-specific optimization can implement a particularly resource-saving and sustainable machining process.
  • the method according to the invention for processing a component in an automated process device comprises the steps a) to f) already described and then the following step: g) processing the component using the optimized media parameter set.
  • the computer program product according to the invention comprises instructions, wherein the instructions, when the computer program product is executed on a computer, cause the computer to carry out the method according to the invention.
  • the device comprises a simulation device and a process device.
  • the process device is designed for an automated machining process on a component in which at least one process medium is used.
  • the simulation device is designed to carry out the following steps: a) specifying a component parameter set for the component to be machined, b) specifying a machining parameter set for the machining process to be carried out, c) providing a simulation model for the machining process which describes one or more parameters depending on the component parameter set, the machining parameter set and a variable media parameter set for the process medium to be used, d) specifying a limit value to be observed during the machining process for a selected parameter, e) Simulation of the machining process using the simulation model in several sub-steps e ⁇ ), whereby different media parameter sets are selected for each of the individual sub-steps e ⁇ ), whereby an overall optimized media parameter set is determined in which the limit value for the selected parameter is adhered to.
  • the process device has a control device which is designed to carry out the following step: f
  • the process medium can generally advantageously be a coolant, a lubricant, an inerting agent, a process gas, a process liquid, a cleaning agent and/or a transport medium. All of these process media and auxiliary materials have in common that, on the one hand, a certain minimum amount of the process medium must be available so that the machining process runs smoothly, but on the other hand, for reasons of economic efficiency and/or sustainability, an excess of the process medium used should be avoided.
  • the process medium can a process can be fluid, i.e. either liquid or gaseous. Such fluid media are used in many industrial manufacturing processes either as auxiliary materials or as reagents, and resource-efficient use is generally desirable here.
  • the process medium can also be a solid (e.g.
  • the process medium fulfils a function that supports the machining process.
  • the medium can either be fully or partially used up during the process (e.g. by chemically reacting), or it can remain unchanged afterwards.
  • the medium remaining after the process can either be disposed of as waste product or it can be fully or partially recovered.
  • the process medium can be, for example, a cooling lubricant for a machining process in a machine tool, or it can be an inert gas in a welding process, or it can be a cleaning fluid in a cleaning step.
  • This cleaning step can optionally be carried out before or after a further machining step within an overall machining process.
  • it can be a reaction gas (e.g. for hardening a component), a process fluid or a process gas for applying a coating, a liquid or a gas for an etching process, or a starting material for plasma treatment of a component.
  • a reaction gas e.g. for hardening a component
  • a process fluid or a process gas for applying a coating e.g. for hardening a component
  • a liquid or a gas for an etching process e.g.
  • a starting material for plasma treatment of a component e.g.
  • a solid process medium for mechanical treatment for example solid carbon dioxide for a CCh jet process or a powder for an abrasive powder jet process.
  • the simulation model can be a multi-physics simulation model in which phenomena from several physical domains are taken into account.
  • thermal, fluid dynamic, chemical and/or electrical relationships can also be taken into account in the model. be taken into account.
  • Such a multi-physical model ensures that the relationships between the mechanical processes of the machining process on the component and the fluid-dynamic, thermal, chemical and/or electrical interactions between the process medium and the component and the process device are sufficiently taken into account during the simulation.
  • it is a coupled simulation model which describes at least the structural-mechanical domain and additionally at least one further physical aspect of the interaction of the process medium with the component and/or the machining device.
  • the media parameter set can advantageously also contain other parameters, which can optionally be optimized within step e) using the simulation.
  • an optimized profile for a temporally variable media inflow can be determined.
  • an optimized profile for a spatially variable media inflow into different areas of the device can be determined.
  • the temperature of the process medium used, the service life of the process medium and/or the number of process cycles until the process medium is replaced can also be optimized here using the simulation.
  • the optimized media parameter set determined here can have an optimized media composition as a parameter, wherein the optimized media composition is composed from a selection of available material components in such a way that the processing process is optimized with regard to at least one predetermined criterion.
  • This optimization of the media composition can be particularly advantageously combined with the previously described optimization of the total media quantity (and optionally further parameters), so that overall an optimized media parameter set is determined in which both the quantity and the composition are optimized by the simulation.
  • the at least one limit value specified there can be a maximum value, with the selected parameter being a measure of the stress on the component.
  • a maximum stress on the process tool, the process device and/or the process medium can also be specified here.
  • the at least one limit value is then a maximum stress on the component, the tool and/or the process medium that must be observed during the machining process.
  • the corresponding stress can be a temperature load during the process, a mechanical force, a chemical change and/or a concentration of an influencing substance.
  • Such stresses can be caused by the use of suitable process media can be reduced, so that by setting a limit value for the stress, the position of the optimum determined in step e) is influenced.
  • the method may comprise the following additional step : j ) feeding the measured value obtained back into the simulation model provided in step c ) and adapting the simulation model .
  • the device can also advantageously be designed such that it is adapted to carry out the optional steps h), i) and optionally j).
  • the machining process can be monitored using an optional sensor 80, which is only shown schematically here. In particular, this can be used to monitor a parameter for which a specified limit value must be maintained during the process.
  • the temperature of the component 30 can be measured using a temperature sensor during the machining process. Processing process can be monitored.
  • the measured value obtained with the sensor 80 can be used, on the one hand, to adjust the media parameters determined with the simulation device via the control and regulation device 60, i.e., for example, to increase the amount of media if the component 30 becomes hotter during the process than was predicted by the simulation.
  • the measured value obtained with the sensor 80 can also be used to adapt the simulation model used by the simulation device 70 if the measured value deviates from the predicted value.
  • Figure 2 shows a flow chart for a first exemplary embodiment of the method according to the invention for determining process parameters for a process device, wherein the process device can be, for example, the machine tool 10 shown in Figure 1.
  • the basic method can also be applied to any other examples of process devices in which process media are used.
  • a simulation model M is provided, which can in particular be a multiphysical model.
  • the model M comprises both a model component for structural mechanics M_m and a thermal model component M_th, a fluid dynamic model component M_fl and a chemical model component M_ch .
  • an electrical and/or electrochemical model component not shown here can also be used. Not all of the model components shown here are necessary. However, it is advantageous if, in addition to the model component for structural mechanics M_m, at least one further model component is present in order to describe thermal, fluid dynamic, chemical and/or electrical interactions between the process medium 50 and the component 30 and/or the process tool 40 .
  • the entire parameter field P5_opt (P4) can be transferred to the control and regulating device 60.
  • the parameter field can be used, for example, to determine and use the optimized media parameter set P5_opt depending on a user-defined processing process.
  • the control device 50 can also automatically determine a higher-level optimum in which both optimized media parameters P5_opt and optimized processing parameters P4_opt are output and preset for a process goal to be achieved.
  • Step f) is followed by step g), in which the processing of the component 30 is carried out within the process device 10.
  • step g) in which the processing of the component 30 is carried out within the process device 10.
  • a measurement of at least one parameter K can take place. This can be done, for example, via the sensor 80 ( Figure 1), which enables a (direct or indirect) measurement of a load state or a contamination. This can basically be a load state and/or a contamination of the component 30, the tool 40 or the process medium 50. In any case, this enables monitoring and control of the simulation result.
  • the optimized media parameter set P5 obtained from the simulation can be adjusted. In this way, an even better control of the media use can be achieved.
  • the measurement result can be fed back into the simulation model M and the simulation model M can be adjusted accordingly. In this way, an even better optimized media parameter set P5_opt is obtained in a subsequent run through the simulation step e).
  • Control device (opt. also regulating device)

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  • Engineering & Computer Science (AREA)
  • Human Computer Interaction (AREA)
  • Manufacturing & Machinery (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Automation & Control Theory (AREA)
  • Numerical Control (AREA)
  • Feedback Control In General (AREA)

Abstract

L'invention concerne un procédé pour déterminer des paramètres de traitement (P4, P5) d'un dispositif de traitement (10), le dispositif de traitement (10) étant conçu pour effectuer un processus de traitement automatisé sur un composant (30) dans lequel au moins un milieu de traitement (50) est utilisé. Le procédé comprend les étapes suivantes : a) définir un ensemble de paramètres de composant (P3) pour le composant (30) à traiter, b) définir un ensemble de paramètres de traitement (P4) pour le processus de traitement à effectuer ; c) fournir un modèle de simulation (M) pour le processus de traitement, qui décrit au moins une valeur caractéristique (K) du processus de traitement en fonction de l'ensemble de paramètres de composant (P3), de l'ensemble de paramètres de traitement (P4) et d'un ensemble de paramètres de milieu variable (P5) pour le milieu de traitement (50) à utiliser, d) définir une valeur limite (K_lim) à respecter pendant le processus de traitement pour une valeur caractéristique sélectionnée (K), e) simuler le processus de traitement à l'aide du modèle de simulation (M) en une pluralité de sous-étapes ei) et f) définir l'ensemble de paramètres de milieu optimisé (P5_opt) pour exécuter le processus de traitement automatisé dans le dispositif de traitement (10). Pendant les diverses sous-étapes ei), différents ensembles de paramètres de milieu (P5) sont sélectionnés dans chaque cas, ce qui permet de déterminer un ensemble de paramètres de milieu optimisé (P5_opt) pour lequel la valeur limite (K_lim) est respectée pour la valeur caractéristique sélectionnée (K). L'invention concerne également un procédé de traitement correspondant ainsi qu'un produit programme d'ordinateur et un dispositif conçus pour mettre en oeuvre le procédé.
EP23813573.5A 2022-11-28 2023-11-10 Procédé et dispositif pour déterminer des paramètres de traitement Pending EP4577887A1 (fr)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
EP22209858.4A EP4375774A1 (fr) 2022-11-28 2022-11-28 Procédé et dispositif de détermination de paramètres de processus
PCT/EP2023/081385 WO2024115075A1 (fr) 2022-11-28 2023-11-10 Procédé et dispositif pour déterminer des paramètres de traitement

Publications (1)

Publication Number Publication Date
EP4577887A1 true EP4577887A1 (fr) 2025-07-02

Family

ID=84389301

Family Applications (2)

Application Number Title Priority Date Filing Date
EP22209858.4A Withdrawn EP4375774A1 (fr) 2022-11-28 2022-11-28 Procédé et dispositif de détermination de paramètres de processus
EP23813573.5A Pending EP4577887A1 (fr) 2022-11-28 2023-11-10 Procédé et dispositif pour déterminer des paramètres de traitement

Family Applications Before (1)

Application Number Title Priority Date Filing Date
EP22209858.4A Withdrawn EP4375774A1 (fr) 2022-11-28 2022-11-28 Procédé et dispositif de détermination de paramètres de processus

Country Status (3)

Country Link
EP (2) EP4375774A1 (fr)
CN (1) CN120322739A (fr)
WO (1) WO2024115075A1 (fr)

Family Cites Families (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
EP3147729B1 (fr) * 2015-09-25 2019-06-12 Göcke, Tobias Procede et dispositif de commande de processus adaptatif et optimal, utilisation du procede
DE102018121198A1 (de) * 2018-08-30 2020-03-05 Thyssenkrupp Ag Verfahren, Vorrichtung und System zur Ermittlung von Messinformationen
EP3825794A1 (fr) * 2019-11-21 2021-05-26 pro-micron GmbH Procédé de surveillance et/ou de prévision des processus d'usinage et/ou des résultats d'usinage

Also Published As

Publication number Publication date
WO2024115075A1 (fr) 2024-06-06
CN120322739A (zh) 2025-07-15
EP4375774A1 (fr) 2024-05-29

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