When machining narrow grooves, corners, and other complex cavities with trochoidal milling, the irrationally large trochoidal step usually leads to chatter, while the conservative trochoidal step constrains the machining efficiency. In this paper, a stability prediction model of trochoidal milling is established to solve these problems. An approach considering trochoidal steps and spindle speeds is presented to predict stability boundary of trochoidal milling. With considering the varying cutter-workpiece engagements, the stability of trochoidal milling process is predicted by obtaining the stability lobes of different cutter location (CL) points along the trochoidal milling tool paths. Based on the proposed stability model, a trochoidal step optimization strategy is developed to improve the machining efficiency of trochoidal milling under other parameters in a given situation. Cutting experiments are performed on the machining center GMC 1600H/2 to show the effectiveness of the proposed trochoidal milling stability model. Finally, simulations are adopted to illustrate the optimization strategy.
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September 2017
Research-Article
Stability Prediction and Step Optimization of Trochoidal Milling
Rong Yan,
Rong Yan
National NC System Engineering
Research Center,
School of Mechanical Science and Engineering,
Huazhong University of Science and Technology,
Wuhan 430074, China
e-mail: yanrong@hust.edu.cn
Research Center,
School of Mechanical Science and Engineering,
Huazhong University of Science and Technology,
Wuhan 430074, China
e-mail: yanrong@hust.edu.cn
Search for other works by this author on:
Hua Li,
Hua Li
National NC System Engineering
Research Center,
School of Mechanical Science and Engineering,
Huazhong University of Science and Technology,
Wuhan 430074, China
e-mail: M201570333@hust.edu.cn
Research Center,
School of Mechanical Science and Engineering,
Huazhong University of Science and Technology,
Wuhan 430074, China
e-mail: M201570333@hust.edu.cn
Search for other works by this author on:
Fangyu Peng,
Fangyu Peng
National NC System Engineering
Research Center,
School of Mechanical Science and Engineering,
Huazhong University of Science and Technology,
Wuhan 430074, China;
Research Center,
School of Mechanical Science and Engineering,
Huazhong University of Science and Technology,
Wuhan 430074, China;
State Key Laboratory of Digital Manufacturing
Equipment and Technology,
School of Mechanical Science and Engineering,
Huazhong University of Science and Technology,
Wuhan 430074, China
e-mail: zwm8917@263.net
Equipment and Technology,
School of Mechanical Science and Engineering,
Huazhong University of Science and Technology,
Wuhan 430074, China
e-mail: zwm8917@263.net
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Xiaowei Tang,
Xiaowei Tang
National NC System Engineering
Research Center,
School of Mechanical Science and Engineering,
Huazhong University of Science and Technology,
Wuhan 430074, China
e-mail: txwysxf@126.com
Research Center,
School of Mechanical Science and Engineering,
Huazhong University of Science and Technology,
Wuhan 430074, China
e-mail: txwysxf@126.com
Search for other works by this author on:
Jiawei Xu,
Jiawei Xu
National NC System Engineering
Research Center,
School of Mechanical Science and Engineering,
Huazhong University of Science and Technology,
Wuhan 430074, China
e-mail: M201570600@hust.edu.cn
Research Center,
School of Mechanical Science and Engineering,
Huazhong University of Science and Technology,
Wuhan 430074, China
e-mail: M201570600@hust.edu.cn
Search for other works by this author on:
Haohao Zeng
Haohao Zeng
National NC System Engineering
Research Center,
School of Mechanical Science and Engineering,
Huazhong University of Science and Technology,
Wuhan 430074, China
e-mail: mzh2012@hust.edu.cn
Research Center,
School of Mechanical Science and Engineering,
Huazhong University of Science and Technology,
Wuhan 430074, China
e-mail: mzh2012@hust.edu.cn
Search for other works by this author on:
Rong Yan
National NC System Engineering
Research Center,
School of Mechanical Science and Engineering,
Huazhong University of Science and Technology,
Wuhan 430074, China
e-mail: yanrong@hust.edu.cn
Research Center,
School of Mechanical Science and Engineering,
Huazhong University of Science and Technology,
Wuhan 430074, China
e-mail: yanrong@hust.edu.cn
Hua Li
National NC System Engineering
Research Center,
School of Mechanical Science and Engineering,
Huazhong University of Science and Technology,
Wuhan 430074, China
e-mail: M201570333@hust.edu.cn
Research Center,
School of Mechanical Science and Engineering,
Huazhong University of Science and Technology,
Wuhan 430074, China
e-mail: M201570333@hust.edu.cn
Fangyu Peng
National NC System Engineering
Research Center,
School of Mechanical Science and Engineering,
Huazhong University of Science and Technology,
Wuhan 430074, China;
Research Center,
School of Mechanical Science and Engineering,
Huazhong University of Science and Technology,
Wuhan 430074, China;
State Key Laboratory of Digital Manufacturing
Equipment and Technology,
School of Mechanical Science and Engineering,
Huazhong University of Science and Technology,
Wuhan 430074, China
e-mail: zwm8917@263.net
Equipment and Technology,
School of Mechanical Science and Engineering,
Huazhong University of Science and Technology,
Wuhan 430074, China
e-mail: zwm8917@263.net
Xiaowei Tang
National NC System Engineering
Research Center,
School of Mechanical Science and Engineering,
Huazhong University of Science and Technology,
Wuhan 430074, China
e-mail: txwysxf@126.com
Research Center,
School of Mechanical Science and Engineering,
Huazhong University of Science and Technology,
Wuhan 430074, China
e-mail: txwysxf@126.com
Jiawei Xu
National NC System Engineering
Research Center,
School of Mechanical Science and Engineering,
Huazhong University of Science and Technology,
Wuhan 430074, China
e-mail: M201570600@hust.edu.cn
Research Center,
School of Mechanical Science and Engineering,
Huazhong University of Science and Technology,
Wuhan 430074, China
e-mail: M201570600@hust.edu.cn
Haohao Zeng
National NC System Engineering
Research Center,
School of Mechanical Science and Engineering,
Huazhong University of Science and Technology,
Wuhan 430074, China
e-mail: mzh2012@hust.edu.cn
Research Center,
School of Mechanical Science and Engineering,
Huazhong University of Science and Technology,
Wuhan 430074, China
e-mail: mzh2012@hust.edu.cn
1Corresponding author.
Manuscript received December 19, 2016; final manuscript received May 10, 2017; published online June 22, 2017. Assoc. Editor: Satish Bukkapatnam.
J. Manuf. Sci. Eng. Sep 2017, 139(9): 091006 (11 pages)
Published Online: June 22, 2017
Article history
Received:
December 19, 2016
Revised:
May 10, 2017
Citation
Yan, R., Li, H., Peng, F., Tang, X., Xu, J., and Zeng, H. (June 22, 2017). "Stability Prediction and Step Optimization of Trochoidal Milling." ASME. J. Manuf. Sci. Eng. September 2017; 139(9): 091006. https://doi.org/10.1115/1.4036784
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