dc.identifier.uri |
http://dx.doi.org/10.15488/988 |
|
dc.identifier.uri |
http://www.repo.uni-hannover.de/handle/123456789/1012 |
|
dc.contributor.author |
Denkena, Berend
|
|
dc.contributor.author |
Koeller, M.
|
|
dc.date.accessioned |
2016-12-22T11:22:36Z |
|
dc.date.available |
2016-12-22T11:22:36Z |
|
dc.date.issued |
2013 |
|
dc.identifier.citation |
Denkena, B.; Koeller, M.: Simulation based parameterization for process monitoring of machining operations. In: Procedia CIRP 12 (2013), S. 79-84. DOI: https://doi.org/10.1016/j.procir.2013.09.015 |
|
dc.description.abstract |
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. |
eng |
dc.language.iso |
eng |
|
dc.publisher |
Amsterdam : Elsevier |
|
dc.relation.ispartofseries |
Procedia CIRP 12 (2013) |
|
dc.rights |
CC BY-NC-ND 3.0 Unported |
|
dc.rights.uri |
https://creativecommons.org/licenses/by-nc-nd/3.0/ |
|
dc.subject |
Material remova |
eng |
dc.subject |
Monitoring |
eng |
dc.subject |
Simulation |
eng |
dc.subject |
Batch production |
eng |
dc.subject |
Machining operations |
eng |
dc.subject |
Process simulations |
eng |
dc.subject |
Reference parameters |
eng |
dc.subject |
Simulation |
eng |
dc.subject |
Simulation based approaches |
eng |
dc.subject |
Virtual machine tools |
eng |
dc.subject |
Computer simulation |
eng |
dc.subject |
Industrial applications |
eng |
dc.subject |
Industrial engineering |
eng |
dc.subject |
Machine tools |
eng |
dc.subject |
Monitoring |
eng |
dc.subject |
Process control |
eng |
dc.subject |
Process monitoring |
eng |
dc.subject.classification |
Konferenzschrift |
ger |
dc.subject.ddc |
600 | Technik
|
ger |
dc.subject.ddc |
620 | Ingenieurwissenschaften und Maschinenbau
|
ger |
dc.subject.ddc |
500 | Naturwissenschaften
|
ger |
dc.title |
Simulation based parameterization for process monitoring of machining operations |
eng |
dc.type |
Article |
|
dc.type |
Text |
|
dc.relation.issn |
22128271 |
|
dc.relation.doi |
https://doi.org/10.1016/j.procir.2013.09.015 |
|
dc.bibliographicCitation.volume |
12 |
|
dc.bibliographicCitation.firstPage |
79 |
|
dc.bibliographicCitation.lastPage |
84 |
|
dc.description.version |
publishedVersion |
|
tib.accessRights |
frei zug�nglich |
|