An ANFIS model for predicting workpiece deformation during the milling of thin-walled composite components

Basit Öğe Kaydı
dc.contributor.authorOzdemir, Burak
dc.contributor.authorEmir, Ender
dc.contributor.authorBahce, Erkan
dc.contributor.authorYardimeden, Ahmet
dc.contributor.authorKilickap, Erol
dc.date.accessioned2026-04-04T13:33:15Z
dc.date.available2026-04-04T13:33:15Z
dc.date.issued2026
dc.departmentİnönü Üniversitesi
dc.description.abstractThe milling of thin-walled structural components is a meticulous procedure, particularly for workpieces with diminished mechanical qualities. Such workpieces are subject to greater deformation due to the cutting force. These deformations have a negative effect on the machining accuracy of the machined parts. Therefore, it is important to focus on the causes and effects of workpiece deformation in order to understand the surface machining quality of the workpiece. The aim of this study is to calculate the deflection of the workpiece during milling of thin-walled components made of glass fiber reinforced polymer composite (GFRP), carbon fiber reinforced polymer composite (CFRP) and basalt fiber reinforced polymer composite (BFRP). The tests were carried out at three different feed rates (0.1-0.2-0.3 mm/rev) and three different speeds (2000-3000-4000 r/min). A high-speed camera was used to detect the deflection of the thin-walled workpiece during milling. The effect of machining parameters on the variation of cutting force and deflection was statistically evaluated by analysis of variance. In order to better understand the behaviour of the parameters in the process, a predictive model was created using the artificial intelligence method Adaptive Network Based Fuzzy Inference System (ANFIS). The model is able to predict the cutting force with an accuracy of 65.7% and the deformation with an accuracy of 98.9%.
dc.identifier.doi10.1177/00952443251378998
dc.identifier.endpage45
dc.identifier.issn0095-2443
dc.identifier.issn1530-8006
dc.identifier.issue1
dc.identifier.orcid0000-0002-5870-0398
dc.identifier.orcid0000-0003-4972-5064
dc.identifier.scopus2-s2.0-105024475196
dc.identifier.scopusqualityQ3
dc.identifier.startpage26
dc.identifier.urihttps://doi.org/10.1177/00952443251378998
dc.identifier.urihttps://hdl.handle.net/11616/109032
dc.identifier.volume58
dc.identifier.wosWOS:001568465300001
dc.identifier.wosqualityQ3
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherSage Publications Ltd
dc.relation.ispartofJournal of Elastomers and Plastics
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.snmzKA_WOS_20250329
dc.subjectcomposite structure
dc.subjectthin-wall milling
dc.subjectworkpiece deflection
dc.subjectstatistical analysis
dc.subjectANFIS
dc.titleAn ANFIS model for predicting workpiece deformation during the milling of thin-walled composite components
dc.typeArticle

Dosyalar

Koleksiyon

WoS İndeksli Yayınlar Koleksiyonu
Scopus İndeksli Yayınlar Koleksiyonu