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dc.contributor.advisorFales, Rogereng
dc.contributor.authorKennedy, Joseph L.eng
dc.date.issued2011eng
dc.date.submitted2011 Springeng
dc.descriptionTitle from PDF of title page (University of Missouri--Columbia, viewed on October 19, 2012).eng
dc.descriptionThe entire thesis text is included in the research.pdf file; the official abstract appears in the short.pdf file; a non-technical public abstract appears in the public.pdf file.eng
dc.descriptionDissertation advisor: Dr. Roger Faleseng
dc.descriptionVita.eng
dc.descriptionPh. D. University of Missouri--Columbia 2011.eng
dc.description"May 2011"eng
dc.description.abstractIn this work, two separate mathematical models, a traditional and new model, are presented for an end-milling process. The traditional model assumes circular tool motion, while the new model accounts for trochoidal tool motion resulting from the feed of the workpiece past the rotating tool. Simulated bifurcation diagrams are generated using each model and compared to experimental results. An extended Kalman filter (EKF) algorithm is created for estimating the states and modal parameters of the milling process given the tool deflections in the x and y-directions and rotational angle. Once parameter estimates are calculated, stability analysis is performed to generate the stability bound of the system as a function of the spindle speed and depth of cut. A control system is designed for a simulated milling process that uses updated EKF parameter estimates to track the stability bounds of the system through time. Through knowledge of these stability bounds, the spindle speed and/or feed rate are varied to avoid instability (i.e. avoid the onset of chatter vibrations). This control system is unique in its ability to adapt to changing system dynamics. A chatter detection method is also given based on the root-mean-square (RMS) value of the once-per-tool deflection data. This method cannot avoid chatter vibrations form forming; however, it can detect and quantify the severity of chatter vibrations.eng
dc.description.bibrefIncludes bibliographical referenceseng
dc.format.extentxxii, 166 pageseng
dc.identifier.oclc872561301eng
dc.identifier.urihttps://doi.org/10.32469/10355/15779eng
dc.identifier.urihttps://hdl.handle.net/10355/15779
dc.languageEnglisheng
dc.publisherUniversity of Missouri--Columbiaeng
dc.relation.ispartofcommunityUniversity of Missouri--Columbia. Graduate School. Theses and Dissertations.eng
dc.rightsOpenAccess.eng
dc.rights.licenseThis work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivs 3.0 License.
dc.subjectend-milling processeng
dc.subjecttool motioneng
dc.subjecttool chattereng
dc.subjectchatter preventioneng
dc.titleChatter detection and prevention in high-speed millingeng
dc.typeThesiseng
thesis.degree.disciplineMechanical and aerospace engineering (MU)eng
thesis.degree.grantorUniversity of Missouri--Columbiaeng
thesis.degree.levelDoctoraleng
thesis.degree.namePh. D.eng


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