Tunç, Lütfi Taner and Özşahin, Orkun (2018) Use of inverse stability solutions for identification of uncertainties in the dynamics of machining processes. Advances in Manufacturing . ISSN 2095-3127 (Print) 2195-3597 (Online) Published Online First http://dx.doi.org/10.1007%2Fs40436-018-0233-x
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Official URL: http://dx.doi.org/10.1007%2Fs40436-018-0233-x
Abstract
Research on dynamics and stability of machining operations has attracted considerable attention. Currently, most studies focus on the forward solution of dynamics and stability in which material properties and the frequency response function at the tool tip are known to predict stable cutting conditions. However, the forward solution may fail to perform accurately in cases wherein the aforementioned information is partially known or varies based on the process conditions, or could involve several uncertainties in the dynamics. Under these circumstances, inverse stability solutions are immensely useful to identify the amount of variation in the effective damping or stiffness acting on the machining system. In this paper, the inverse stability solutions and their use for such purposes are discussed through relevant examples and case studies. Specific areas include identification of process damping at low cutting speeds and variations in spindle dynamics at high rotational speeds.
Item Type: | Article |
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Uncontrolled Keywords: | Inverse stability; Machining dynamics; High speed milling; Process damping; Spindle dynamics |
Subjects: | T Technology > TS Manufactures > TS0200 Metal manufactures. Metalworking T Technology > TJ Mechanical engineering and machinery > TJ170-179 Mechanics applied to machinery. Dynamics |
Divisions: | Integrated Manufacturing Technologies Research and Application Center Faculty of Engineering and Natural Sciences > Academic programs > Industrial Engineering Faculty of Engineering and Natural Sciences Faculty of Engineering and Natural Sciences > Academic programs > Manufacturing Systems Eng. |
Depositing User: | Lütfi Taner Tunç |
Date Deposited: | 04 Sep 2018 14:21 |
Last Modified: | 26 Apr 2022 10:00 |
URI: | https://research.sabanciuniv.edu/id/eprint/36404 |
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