Prediction of tool deflection using image processing in ball-end milling

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dc.contributor.authorOzdemir, Burak
dc.contributor.authorBahce, Erkan
dc.date.accessioned2026-06-19T06:38:20Z
dc.date.available2026-06-19T06:38:20Z
dc.date.issued2023
dc.departmentMalatya Turgut Özal Üniversitesi
dc.description.abstractIn milling, some of the factors that contribute to the poor quality of products are the cutting forces. Depending on the machining parameters, the cutting forces may significantly affect the tool being used in the machining process. Tool deflection can be modeled as bending deformation. Tool deflection causes poor surface quality, geometrical and dimensional errors. For this reason, it must be addressed during milling and reduced by changing the machining parameters. In the determination of tool deflection, force-based analytical and finite element methods (FEM) and sensor measurement methods are widely used. These technologies have drawbacks such as not being able to obtain fast data, being expensive, demanding precise control, and requiring continual calibration. This study aims to determine the deflection of the tool by image processing dependent on the tool/material pair and machining parameters in the milling process. For this purpose, the AL7075 material with a free-form surface was machined on a CNC milling machine. A mathematical equation is proposed to estimate the tool deflection based on the image processing results. The method has shown that tool deviation can be detected more quickly and simply by image processing.
dc.description.sponsorshipInonu University BAP [FDK-2020-2046]
dc.description.sponsorshipThe author(s) disclosed receipt of the following financial support for the research, authorship, and/or publication of this article: This research was supported by Inonu University BAP (Project number FDK-2020-2046).
dc.identifier.doi10.1177/09544054221136398
dc.identifier.endpage1725
dc.identifier.issn0954-4054
dc.identifier.issn2041-2975
dc.identifier.issue11
dc.identifier.orcid0000-0001-5389-5571
dc.identifier.orcid0000-0002-5870-0398
dc.identifier.scopus2-s2.0-85142350634
dc.identifier.scopusqualityQ1
dc.identifier.startpage1716
dc.identifier.urihttps://doi.org/10.1177/09544054221136398
dc.identifier.urihttps://hdl.handle.net/20.500.12899/5509
dc.identifier.volume237
dc.identifier.wosWOS:000886758800001
dc.identifier.wosqualityQ3
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherSage Publications Ltd
dc.relation.ispartofProceedings of the Institution of Mechanical Engineers Part B-Journal of Engineering Manufacture
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.snmzKA_WOS_20260612
dc.subjectMilling
dc.subjectImage Processing
dc.subjectTool Deflection
dc.titlePrediction of tool deflection using image processing in ball-end milling
dc.typeArticle

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