This paper proposes a general method for the stability analysis and parameter optimization of milling processes with periodic spindle speed variation (SSV). With the aid of Fourier series, the time-variant spindle speeds of different periodic modulation schemes are unified into one framework. Then the time-varying delay is derived implicitly and calculated efficiently using an accurate ordinary differential equation (ODE) based algorithm. After incorporating the unified spindle speed and time delay into the dynamic model, a Floquet theory based variable-step numerical integration method (VNIM) is presented for the stability analysis of variable spindle speed milling processes. By comparison with other methods, such as the semi-discretization method and the constant-step numerical integration method, the proposed method has the advantages of high computational accuracy and efficiency. Finally, different spindle speed modulation schemes are compared and the modulation parameters are optimized with the aid of three-dimensional stability charts obtained using the proposed VNIM.
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November 2016
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Stability Analysis of Milling Processes With Periodic Spindle Speed Variation Via the Variable-Step Numerical Integration Method
Jinbo Niu,
Jinbo Niu
State Key Laboratory of Mechanical System and Vibration,
School of Mechanical Engineering,
Shanghai Jiao Tong University,
Shanghai 200240, China
School of Mechanical Engineering,
Shanghai Jiao Tong University,
Shanghai 200240, China
Search for other works by this author on:
Ye Ding,
Ye Ding
State Key Laboratory of Mechanical System and Vibration,
School of Mechanical Engineering,
Shanghai Jiao Tong University,
Shanghai 200240, China
e-mail: y.ding@sjtu.edu.cn
School of Mechanical Engineering,
Shanghai Jiao Tong University,
Shanghai 200240, China
e-mail: y.ding@sjtu.edu.cn
Search for other works by this author on:
LiMin Zhu,
LiMin Zhu
State Key Laboratory of Mechanical System and Vibration,
School of Mechanical Engineering,
Shanghai Jiao Tong University,
Shanghai 200240, China
School of Mechanical Engineering,
Shanghai Jiao Tong University,
Shanghai 200240, China
Search for other works by this author on:
Han Ding
Han Ding
State Key Laboratory of Mechanical System and Vibration,
School of Mechanical Engineering,
Shanghai Jiao Tong University,
Shanghai 200240, China
School of Mechanical Engineering,
Shanghai Jiao Tong University,
Shanghai 200240, China
Search for other works by this author on:
Jinbo Niu
State Key Laboratory of Mechanical System and Vibration,
School of Mechanical Engineering,
Shanghai Jiao Tong University,
Shanghai 200240, China
School of Mechanical Engineering,
Shanghai Jiao Tong University,
Shanghai 200240, China
Ye Ding
State Key Laboratory of Mechanical System and Vibration,
School of Mechanical Engineering,
Shanghai Jiao Tong University,
Shanghai 200240, China
e-mail: y.ding@sjtu.edu.cn
School of Mechanical Engineering,
Shanghai Jiao Tong University,
Shanghai 200240, China
e-mail: y.ding@sjtu.edu.cn
LiMin Zhu
State Key Laboratory of Mechanical System and Vibration,
School of Mechanical Engineering,
Shanghai Jiao Tong University,
Shanghai 200240, China
School of Mechanical Engineering,
Shanghai Jiao Tong University,
Shanghai 200240, China
Han Ding
State Key Laboratory of Mechanical System and Vibration,
School of Mechanical Engineering,
Shanghai Jiao Tong University,
Shanghai 200240, China
School of Mechanical Engineering,
Shanghai Jiao Tong University,
Shanghai 200240, China
1Corresponding author.
Manuscript received October 18, 2015; final manuscript received March 10, 2016; published online June 23, 2016. Assoc. Editor: Tony Schmitz.
J. Manuf. Sci. Eng. Nov 2016, 138(11): 114501 (11 pages)
Published Online: June 23, 2016
Article history
Received:
October 18, 2015
Revised:
March 10, 2016
Citation
Niu, J., Ding, Y., Zhu, L., and Ding, H. (June 23, 2016). "Stability Analysis of Milling Processes With Periodic Spindle Speed Variation Via the Variable-Step Numerical Integration Method." ASME. J. Manuf. Sci. Eng. November 2016; 138(11): 114501. https://doi.org/10.1115/1.4033043
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