2003
DOI: 10.1006/jsvi.2002.5129
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Approximate Analytical Solutions for Primary Chatter in the Non-Linear Metal Cutting Model

Abstract: This paper considers an accepted model of the metal cutting process dynamics in the context of an approximate analysis of the resulting non-linear differential equations of motion. The process model is based upon the established mechanics of orthogonal cutting and results in a pair of non-linear ordinary differential equations which are then restated in a form suitable for approximate analytical solution. The chosen solution technique is the perturbation method of multiple time scales and approximate closed-fo… Show more

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Cited by 60 publications
(28 citation statements)
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“…In fact the multiple time-scale method is an efficient and widely used treatment for nonlinear mechanical systems [8,9,10] to get an approximate analytic solution. In these cases the time-scales are introduced to account for nonlinear terms in the examined systems.…”
Section: Calculations and Resultsmentioning
confidence: 99%
“…In fact the multiple time-scale method is an efficient and widely used treatment for nonlinear mechanical systems [8,9,10] to get an approximate analytic solution. In these cases the time-scales are introduced to account for nonlinear terms in the examined systems.…”
Section: Calculations and Resultsmentioning
confidence: 99%
“…Savi et al [4] discussed a one-degree-of-freedom (1DOF) system considering numerical and experimental approaches. Several engineering systems are related to nonsmooth nonlinearities including oil drilling [5][6][7][8], manufacturing [9], and rotor dynamics [10][11][12][13].…”
Section: Introductionmentioning
confidence: 99%
“…Over the past years, its fast development gave way to a reliable high-speed cutting procedure. Consequently, elimina-tion and stabilization of the associated chatter oscillations have become a high interest in science and technology [1][2][3][4][5][6][7]. The plausible adaptive control concept, based on relatively short time series, is studied to gain deeper understanding.…”
Section: Introduction and Experimental Datamentioning
confidence: 99%