On-Line Surface Roughness Prediction by Using a Probabilistic Approach for End-Milling

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dc.contributor.authorKayabaşı, Oğuz
dc.contributor.authorErtürk, Şenol
dc.date.accessioned2020-04-30T23:20:14Z
dc.date.available2020-04-30T23:20:14Z
dc.date.issued2019
dc.departmentDÜ, Mühendislik Fakültesi, Biyomedikal Mühendisliği Bölümüen_US
dc.descriptionKayabasi, Oguz/0000-0003-0129-1113en_US
dc.descriptionWOS: 000498827100006en_US
dc.description.abstractAn effective and efficient methodology is proposed to predict surface roughness by online monitoring of surface quality using accelerometer signals. A probabilistic approach, Monte Carlo Simulation, was researched and developed to create an automated tool for on-line prediction of surface quality. Data from 3-axis vibration (Vx, Vy, Vz) signals were used to predict on-line surface roughness. According to an experimental design with four cutting parameters (Cutting speed (Vc), Feed per teeth (Sz), Dept of cut (Dc), Width of cut (Wc)), three-axis vibration signals were used to combine data into a probabilistic model for development of an on-line surface roughness prediction system. Once the probability model was established by using a data set consisting of 71 experiments, the model was tested for 10 different cutting conditions. The probability model shows that the results have convergence values that are close to each other, by as high as 96.37%.en_US
dc.identifier.doi10.1109/ACCESS.2019.2944769en_US
dc.identifier.endpage143498en_US
dc.identifier.issn2169-3536
dc.identifier.scopusqualityQ1en_US
dc.identifier.startpage143490en_US
dc.identifier.urihttps://doi.org/10.1109/ACCESS.2019.2944769
dc.identifier.urihttps://hdl.handle.net/20.500.12684/3963
dc.identifier.volume7en_US
dc.identifier.wosWOS:000498827100006en_US
dc.identifier.wosqualityQ1en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherIeee-Inst Electrical Electronics Engineers Incen_US
dc.relation.ispartofIeee Accessen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectAccelerometersen_US
dc.subjectmaterials processingen_US
dc.subjectmetal productsen_US
dc.subjectMonte Carlo methodsen_US
dc.subjectprobabilistic logicen_US
dc.subjectsurface roughnessen_US
dc.titleOn-Line Surface Roughness Prediction by Using a Probabilistic Approach for End-Millingen_US
dc.typeArticleen_US

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