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contributor authorNankali, Amir
contributor authorLee, Young S.
contributor authorKalmár-Nagy, Tamás
date accessioned2017-11-25T07:20:18Z
date available2017-11-25T07:20:18Z
date copyright2016/1/9
date issued2017
identifier issn1555-1415
identifier othercnd_012_01_011010.pdf
identifier urihttp://138.201.223.254:8080/yetl1/handle/yetl/4236350
description abstractWe study the dynamics of targeted energy transfers in suppressing chatter instability in a single-degree-of-freedom (SDOF) machine tool system. The nonlinear regenerative (time-delayed) cutting force is a main source of machine tool vibrations (chatter). We introduce an ungrounded nonlinear energy sink (NES) coupled to the tool, by which energy transfers from the tool to the NES and efficient dissipation can be realized during chatter. Studying variations of a transition curve with respect to the NES parameters, we analytically show that the location of the Hopf bifurcation point is influenced only by the NES mass and damping coefficient. We demonstrate that application of a well-designed NES renders the subcritical limit cycle oscillations (LCOs) into supercritical ones, followed by Neimark–Sacker and saddle-node bifurcations, which help to increase the stability margin in machining. Numerical and asymptotic bifurcation analyses are performed and three suppression mechanisms are identified. The asymptotic stability analysis is performed to study the domains of attraction for these suppression mechanisms which exhibit good agreement with the bifurcations sets obtained from the numerical continuation methods. The results will help to design nonlinear energy sinks for passive control of regenerative instabilities in machining.
publisherThe American Society of Mechanical Engineers (ASME)
titleTargeted Energy Transfers for Suppressing Regenerative Machine Tool Vibrations
typeJournal Paper
journal volume12
journal issue1
journal titleJournal of Computational and Nonlinear Dynamics
identifier doi10.1115/1.4034397
journal fristpage11010
journal lastpage011010-11
treeJournal of Computational and Nonlinear Dynamics:;2017:;volume( 012 ):;issue: 001
contenttypeFulltext


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