Zusammenfassung: | |
Process monitoring can prevent machine and tool failure in metal-cutting. A successful process monitoring of cutting processes depends on reliable monitoring limits for the process. In industrial applications these limits have to be generated in a learning phase during a ramp-up process. In order to enable process monitoring for single batch production without a learning phase, this paper describes a simulation based approach for generating reference data to set process limits. As a foundation for calculation of monitoring limits a position-based process simulation has to be established. In a first step an approach of modeling material removal is evaluated to check whether it fits the application for parameterizing the process monitoring. In this context the potentials of a process simulation for calculating process limits are clarified. Additionally the quality of data generated by this kind of simulation is discussed. In a second step a method is described to implement machine properties by a virtual machine tool within a simulation of material removal. For that purpose a method to use actual data of axis position and tool within the simulation of material removal is necessary. With these data a way-based simulation of material removal can generate reference parameters for monitoring limits instead of using data from a learning phase during the ramp-up process. By using position data of a virtual machine tool a reliable source for the actual position of all axes enables the position-based simulation to perform material removal in a more accurate way.
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Lizenzbestimmungen: | CC BY-NC-ND 3.0 Unported - https://creativecommons.org/licenses/by-nc-nd/3.0/ |
Publikationstyp: | Article |
Publikationsstatus: | publishedVersion |
Erstveröffentlichung: | 2013 |
Schlagwörter (englisch): | Material remova, Monitoring, Simulation, Batch production, Machining operations, Process simulations, Reference parameters, Simulation, Simulation based approaches, Virtual machine tools, Computer simulation, Industrial applications, Industrial engineering, Machine tools, Monitoring, Process control, Process monitoring |
Fachliche Zuordnung (DDC): | 600 | Technik, 620 | Ingenieurwissenschaften und Maschinenbau, 500 | Naturwissenschaften |
Kontrollierte Schlagwörter: | Konferenzschrift |
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