Tool Condition Monitoring in Turning Using Statistical Parameters of Vibration Signal

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dc.contributor.authorArslan, Hakan
dc.contributor.authorEr, Ali Osman
dc.contributor.authorOrhan, Sadettin
dc.contributor.authorAslan, Ersan
dc.date.accessioned2020-06-25T18:15:59Z
dc.date.available2020-06-25T18:15:59Z
dc.date.issued2016
dc.departmentKırıkkale Üniversitesi
dc.descriptionArslan, Hakan/0000-0002-2019-1882; Orhan, Sadettin/0000-0002-9751-6665
dc.description.abstractIn this study, the relationship between vibration and tool wear is investigated during high-speed dry turning by using statistical parameters. It is aimed to show how tool wear and the work piece surface roughness changes with tool vibration signals. For this purpose, a series of experiments were conducted in a CNC lathe. An indexable CBN tool and a 16MnCr5 tool steel that was hardened to 63 HRC were both used as material twins in the experiments. The vibration was measured only in the machining direction using an acceleration sensor assembled on a machinery analyzer since this direction has more dominant signals than the other two directions. In addition, tool wear and work piece surface roughness are measured at different cutting time intervals where the cutting speed, radial depth of cut, and feed rate are kept constant. The vibration signals are evaluated using statistical analysis. The statistical parameters in this study are the Root Mean Square (RMS), Crest Factor, and Kurtosis values. When the flank wear increases, the Kurtosis value and RMS also increase, but the Crest factor exhibited irregular variations. It is concluded that these statistical parameters can be used in order to obtain information about tool wear and work piece surface roughness.en_US
dc.identifier.citationclosedAccessen_US
dc.identifier.doi10.20855/ijav.2016.21.4432
dc.identifier.endpage378en_US
dc.identifier.issn1027-5851
dc.identifier.issue4en_US
dc.identifier.scopus2-s2.0-85007037755
dc.identifier.scopusqualityQ3
dc.identifier.startpage371en_US
dc.identifier.urihttps://doi.org/10.20855/ijav.2016.21.4432
dc.identifier.urihttps://hdl.handle.net/20.500.12587/6376
dc.identifier.volume21en_US
dc.identifier.wosWOS:000393048100003
dc.identifier.wosqualityQ4
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherInt Inst Acoustics & Vibrationen_US
dc.relation.ispartofInternational Journal Of Acoustics And Vibration
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.titleTool Condition Monitoring in Turning Using Statistical Parameters of Vibration Signalen_US
dc.typeArticle

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