2020
DOI: 10.1177/0954405420971075
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Chatter stability prediction of milling considering nonlinearities

Abstract: Nonlinearities have been evidenced during the chatter vibration of milling. Machinability of the thin-walled part is feed rate and position-dependent, and is subject to process damping at low cutting speed. Therefore, chatter stability prediction of milling considering nonlinear cutting force, nonlinear structural stiffness and process damping is investigated. The cutting force and stiffness are established based on the polynomial model and the process damping is investigated based on the dissipated energy. Th… Show more

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Cited by 8 publications
(5 citation statements)
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“…Combining equations ( 1)-( 3), the air damping coefficient c a of the damper can be obtained as equation (4).…”
Section: Air Dampingmentioning
confidence: 99%
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“…Combining equations ( 1)-( 3), the air damping coefficient c a of the damper can be obtained as equation (4).…”
Section: Air Dampingmentioning
confidence: 99%
“…Sims and Turner 3 developed a time domain model of process damping, and explored the relationship between cutting conditions and the amplitude of chatter vibrations. Yang et al 4 proposed a numerical solution based on perturbation and iteration methods to solve the cutting force, vibration, and chatter stability of thin-walled part milling. Liu et al 5 proposed a tool inclination method based on the adoption of the cutting force component in the lowest stiffness direction of the thin-walled part to guarantee the machined surface finish.…”
Section: Introductionmentioning
confidence: 99%
“…[9][10][11][12] The mechanism destroying micromilling machinability has not been revealed fully. 13,14 In the micro-milling of thin-walled parts, regenerative chatter is one of the main challenges due to the low 1 School of Mechanical and Electrical Engineering, Harbin Institute of Technology, Harbin, China stiffness and high spindle speed of the machining system, which makes it the most direct and unfavorable factor causing the decrease in machinability. 15 Micromilling instability can lead to poor surface integrity, premature tool failure, low machining efficiency, etc.…”
Section: Introductionmentioning
confidence: 99%
“…Moreover, monitoring technology can meet the above-mentioned requirements. Among all the monitored variables, the cutting force is the most important one, whose measurement can be used as predicting tool wear, 1 understanding the principle of chip formation, 2 tool geometry design, 3 monitoring tool condition, 4 predicting chatter, 5 and optimizing the machining parameters. 6 Therefore, it is essential to monitor the cutting force timely and accurately.…”
Section: Introductionmentioning
confidence: 99%