2011
DOI: 10.1016/j.ijmachtools.2010.12.007
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Prediction of chatter stability for multiple-delay milling system under different cutting force models

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Cited by 33 publications
(6 citation statements)
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“…Wan [25] has experimentally verified that wear affects the change in cutting force in such a way that the feed and passive forces are more influenced by tool wear than the cutting force. It is further reported in his study that if there is an increase in wear on the clearance angle, the contact area increases and also the amplitude of the dynamic force oscillations increases, which leads to a reducing the stability of the cutting tool.…”
Section: State Of the Artmentioning
confidence: 99%
“…Wan [25] has experimentally verified that wear affects the change in cutting force in such a way that the feed and passive forces are more influenced by tool wear than the cutting force. It is further reported in his study that if there is an increase in wear on the clearance angle, the contact area increases and also the amplitude of the dynamic force oscillations increases, which leads to a reducing the stability of the cutting tool.…”
Section: State Of the Artmentioning
confidence: 99%
“…3b. If the nominal cutting velocity is used for reference as in standard models [21][22][23][24][25][26], then the chip thickness can be given as the projection of the feed vector to the nominal radial directioñ r j (t) as [20] …”
Section: Chip Thickness Expressionmentioning
confidence: 99%
“…The time-periodic damping is a new term compared to standard milling models [21][22][23][24][25][26]. By omitting this term, Eq.…”
Section: Linearized Equation Of Motionmentioning
confidence: 99%
“…However, for unstable milling process, the dominant frequency structure in the spectra can be characterized by complex coupling of TPF, resonance and self-excited vibration. Resonance can be easily described by the natural frequency of the machine tool structure while self-excited vibration are related to regenerative chatter or introduced by excessive tool chipping (Wan et al, 2011) (Moradi et al, 2013.…”
Section: Cutting Force Signal In Frequency-domainmentioning
confidence: 99%