Feeling machine for process monitoring of turning hybrid solid components

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dc.identifier.uri http://dx.doi.org/10.15488/10943
dc.identifier.uri https://www.repo.uni-hannover.de/handle/123456789/11025
dc.contributor.author Denkena, Berend
dc.contributor.author Bergmann, Benjamin
dc.contributor.author Witt, Matthias
dc.date.accessioned 2021-05-18T09:29:22Z
dc.date.available 2021-05-18T09:29:22Z
dc.date.issued 2020
dc.identifier.citation Denkena, B.; Bergmann, B.; Witt, M.: Feeling machine for process monitoring of turning hybrid solid components. In: Metals 10 (2020), Nr. 7, 930. DOI: https://doi.org/10.3390/met10070930
dc.description.abstract The realization of the increasing automation of production systems requires the guarantee of process security as well as the resulting workpiece quality. For this purpose, monitoring systems are used, which monitor the machining based on machine control signals and external sensors. These systems are challenged by innovative design concepts such as hybrid components made of different materials, which lead to new disturbance variables in the process. Therefore, it is important to obtain as much process information as possible in order to achieve a robust and sensitive evaluation of the machining. Feeling machines with force sensing capabilities represent a promising approach to assist the monitoring. This paper provides, for the first time, an overview of the suitability of the feeling machine for process monitoring during turning operations. The process faults tool breakage, tool wear, and the variation of the material transition position of hybrid shafts that were researched and compared with a force dynamometer. For the investigation, longitudinal turning processes with shafts made of EN AW-6082 and 20MnCr5 were carried out. The results show the feeling machine is sensitive to all kinds of examined errors and can compete with a force dynamometer, especially for roughing operations. © 2020 by the authors. Licensee MDPI, Basel, Switzerland. eng
dc.language.iso eng
dc.publisher Basel : MDPI AG
dc.relation.ispartofseries Metals 10 (2020), Nr. 7
dc.rights CC BY 4.0 Unported
dc.rights.uri https://creativecommons.org/licenses/by/4.0/
dc.subject Benchmark eng
dc.subject Feeling machine eng
dc.subject Process monitoring eng
dc.subject Tailored forming eng
dc.subject Turning eng
dc.subject.ddc 530 | Physik ger
dc.title Feeling machine for process monitoring of turning hybrid solid components
dc.type Article
dc.type Text
dc.relation.essn 2075-4701
dc.relation.doi https://doi.org/10.3390/met10070930
dc.bibliographicCitation.issue 7
dc.bibliographicCitation.volume 10
dc.bibliographicCitation.firstPage 930
dc.description.version publishedVersion
tib.accessRights frei zug�nglich


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