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dc.contributor.advisorWeheba, Gamal
dc.contributor.authorTola, Akale M.
dc.date.accessioned2011-08-19T16:52:08Z
dc.date.available2011-08-19T16:52:08Z
dc.date.copyright2010
dc.date.issued2010-12
dc.identifier.otherd10036
dc.identifier.urihttp://hdl.handle.net/10057/3659
dc.descriptionThesis (Ph.D.)--Wichita State University, College of Engineering, Dept. of Industrial and Manufacturing Engineeringen_US
dc.description.abstractStereolithographic (SL) models have been successfully utilized during product development and the early stages of process design. In this research, SL models were utilized to predict the natural frequencies of high-speed cutting tools. Most common practices utilize theoretical or numerical methods to evaluate tool designs by using simplifying assumptions. However, these results may fail to accurately predict stability limits of the machining system. This research developed a proactive approach for evaluating tool design, which minimizes the risk of ordering the wrong tool and sacrificing the most economic machining condition. Experiments have indicated that SL models correlate well with test results performed on actual machining systems. Consequently, SL models of selected tool designs were constructed and utilized to predict the dynamic characteristics and the stability limits of the machining system. Using stereolithographic models, practitioners can generate stability lobe diagrams and study tool design alternatives before producing or ordering a required tool.en_US
dc.format.extentxvi, 97 p.en
dc.language.isoen_USen_US
dc.publisherWichita State Universityen_US
dc.rightsCopyright Akale Merid Tola, 2010. All rights reserveden
dc.subject.lcshElectronic dissertationsen
dc.titlePredicting high-speed milling dynamics using stereolithographyen_US
dc.typeDissertationen_US


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  • Dissertations [537]
    This collection includes Ph.D. dissertations completed at the Wichita State University Graduate School (Fall 2005 --)

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