Prediction of chatter stability for milling process using precise integration method

Dai, Yuebang; Li, Hongkun; Xing, Xinyu; Hao, Baitian

doi:10.1016/j.precisioneng.2017.12.003

Cited by 49 publications

(16 citation statements)

References 8 publications

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“…It was demonstrated that FDM could provide improved both computational efficiency and prediction accuracy. Based on these works, the improved SDMs and FDMs with higher convergence rates and accuracy were developed for stability prediction [89][90][91][92][93][94][95].…”

Section: Prediction Of the Appearance Of Chattermentioning

confidence: 99%

A state-of-art review on chatter and geometric errors in thin-wall machining processes

Pan

et al. 2021

Journal of Manufacturing Processes

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Section: Prediction Of the Appearance Of Chattermentioning

confidence: 99%

A state-of-art review on chatter and geometric errors in thin-wall machining processes

Pan

et al. 2021

Journal of Manufacturing Processes

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“…In orthogonal cutting of milling operations, the application of chatter theory is complicated by the directions of rotary force, chip thickness and intermittent cutting periods [9]. For predictive purposes, the cutting tool (cutter) is considered to have two orthogonal degrees of freedom, as shown in Figure 1.…”

Section: Analytical Prediction Of Regenerative Chatter In the Millingmentioning

confidence: 99%

Study and analysis of the chatter in the milling the stainless steel 302 and alloy steel 4140

Salcedo¹,

Rodríguez²,

Ochoa³

2018

ces

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The instability in machining caused by chatter on machine tools is a defect that is to be reduced to avoid the presence of high roughness on the surface of the part and the rapid wear of the tool in metal cutting processes. For this reason, this work characterizes the behavior of the milling operations in stainless steel 302 and alloy steel 4140, through the development of analytical methods for the subsequent generation of stability lobe diagrams, since these allow us to appreciate the working conditions in which the process presents a stable behavior. The aim of this article is to compare the milling operation performance of these materials taking into account specific cutting parameters, which are specific to machine tools.

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“…By substituting the chip thickness presented in the equation ( 5) and the forces on the tooth given in the equations ( 6) and 7in the equations ( 8) and ( 9) respectively and, by rearranging the resulting expressions in matrix form, you have:…”

Section: Fundamental Equationsmentioning

confidence: 99%

Stability Lobe Prediction in the Milling of Aluminium 7075 and Aluminium 6061

Salcedo¹,

Rodríguez²,

Ochoa³

2018

IJCTR

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Machining instability caused by chatter on machine tools is a defect that is to be reduced to avoid the presence of high roughness on the surface of the machined part and rapid and excessive wear of the tool in metal cutting processes. Therefore, this work characterizes the behavior of the milling operations in Aluminum 7075 and Aluminum 6061, through the development of analytical methods for the subsequent generation of stability lobe diagrams, since these allow us to appreciate the working conditions in which the process presents a stable behavior since by means of the analysis of regenerative chatter in the machine tools we can predict the optimal operating point. In order to arrive at an analysis of the stabilization of the self-excited vibrations in the orthogonal cutting process, the methods proposed by Altinas and Budak are studied, who develop a complete methodology of the subject.

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Prediction of chatter stability for milling process using precise integration method

Cited by 49 publications

References 8 publications

A state-of-art review on chatter and geometric errors in thin-wall machining processes

A state-of-art review on chatter and geometric errors in thin-wall machining processes

Study and analysis of the chatter in the milling the stainless steel 302 and alloy steel 4140

Stability Lobe Prediction in the Milling of Aluminium 7075 and Aluminium 6061

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