In milling of flexible workpieces, like axial-flow compressor impellers with thin-wall blades and deep channels, interference occurrence between workpiece and tool shaft is a great adverse issue. Even though interference avoidance plays a mandatory role in tool path generation stage, the generated tool path remains just a nominally interference-free one. This challenge is attributed to the fact that workpiece flexibility and dynamic response cannot be considered in tool path generation stage. This paper presents a strategy in process parameters planning stage, aiming to avoid the interference between tool shaft and flexible workpiece with dynamic response in milling process. The interference problem is formulated as that to evaluate the approaching extent of two surfaces, i.e., the vibrating workpiece and the swept envelope surface generated by the tool undergoing spatial motions. A metric is defined to evaluate quantitatively the approaching extent. Then, a minimax optimization model is developed, in which the optimization objective is to maximize the metric, so as the interference-free can be guaranteed while constraints require the milling process to be stable and process parameters to fall into preferred intervals in which material removal rate is satisfactory. Finish milling of impeller using a conical cutter governed by a nominally interference-free tool path is numerically simulated to illustrate the dynamics responses of the spatially distributed nodal points on the thin-wall blade and approaching extent of the time-varying vibrating blades to the tool swept envelope surface. Furthermore, the present model results suggest to use an optimal process parameters set in finish milling, as a result improving machining efficiency in addition to ensuring the interference-free requirement. The model results are verified against milling experiments.
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Minimax Optimization Strategy for Process Parameters Planning: Toward Interference-Free Between Tool and Flexible Workpiece in Milling Process
Xiao-Ming Zhang,
Xiao-Ming Zhang
State Key Laboratory of Digital Manufacturing
Equipment and Technology,
Huazhong University of
Science and Technology,
Wuhan 430074, China
e-mail: zhangxm.duyi@gmail.com
Equipment and Technology,
Huazhong University of
Science and Technology,
Wuhan 430074, China
e-mail: zhangxm.duyi@gmail.com
Search for other works by this author on:
Dong Zhang,
Dong Zhang
State Key Laboratory of Digital Manufacturing
Equipment and Technology,
Huazhong University of Science and
Technology,
Wuhan 430074, China
Equipment and Technology,
Huazhong University of Science and
Technology,
Wuhan 430074, China
Search for other works by this author on:
Le Cao,
Le Cao
State Key Laboratory of Digital Manufacturing
Equipment and Technology,
Huazhong University of
Science and Technology,
Wuhan 430074, China
Equipment and Technology,
Huazhong University of
Science and Technology,
Wuhan 430074, China
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Tao Huang,
Tao Huang
State Key Laboratory of Digital Manufacturing
Equipment and Technology,
Huazhong University of
Science and Technology,
Wuhan 430074, China
Equipment and Technology,
Huazhong University of
Science and Technology,
Wuhan 430074, China
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Jürgen Leopold,
Jürgen Leopold
Precision Engineering Department,
Fraunhofer Institute for Machine Tools and
Forming Technology,
Chemnitz 09661, Germany
Fraunhofer Institute for Machine Tools and
Forming Technology,
Chemnitz 09661, Germany
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Han Ding
Han Ding
State Key Laboratory of Digital Manufacturing
Equipment and Technology,
Huazhong University of
Science and Technology,
Wuhan 430074, China
Equipment and Technology,
Huazhong University of
Science and Technology,
Wuhan 430074, China
Search for other works by this author on:
Xiao-Ming Zhang
State Key Laboratory of Digital Manufacturing
Equipment and Technology,
Huazhong University of
Science and Technology,
Wuhan 430074, China
e-mail: zhangxm.duyi@gmail.com
Equipment and Technology,
Huazhong University of
Science and Technology,
Wuhan 430074, China
e-mail: zhangxm.duyi@gmail.com
Dong Zhang
State Key Laboratory of Digital Manufacturing
Equipment and Technology,
Huazhong University of Science and
Technology,
Wuhan 430074, China
Equipment and Technology,
Huazhong University of Science and
Technology,
Wuhan 430074, China
Le Cao
State Key Laboratory of Digital Manufacturing
Equipment and Technology,
Huazhong University of
Science and Technology,
Wuhan 430074, China
Equipment and Technology,
Huazhong University of
Science and Technology,
Wuhan 430074, China
Tao Huang
State Key Laboratory of Digital Manufacturing
Equipment and Technology,
Huazhong University of
Science and Technology,
Wuhan 430074, China
Equipment and Technology,
Huazhong University of
Science and Technology,
Wuhan 430074, China
Jürgen Leopold
Precision Engineering Department,
Fraunhofer Institute for Machine Tools and
Forming Technology,
Chemnitz 09661, Germany
Fraunhofer Institute for Machine Tools and
Forming Technology,
Chemnitz 09661, Germany
Han Ding
State Key Laboratory of Digital Manufacturing
Equipment and Technology,
Huazhong University of
Science and Technology,
Wuhan 430074, China
Equipment and Technology,
Huazhong University of
Science and Technology,
Wuhan 430074, China
1Corresponding author.
Manuscript received May 26, 2016; final manuscript received October 31, 2016; published online December 21, 2016. Assoc. Editor: Xiaoping Qian.
J. Manuf. Sci. Eng. May 2017, 139(5): 051010 (11 pages)
Published Online: December 21, 2016
Article history
Received:
May 26, 2016
Revised:
October 31, 2016
Citation
Zhang, X., Zhang, D., Cao, L., Huang, T., Leopold, J., and Ding, H. (December 21, 2016). "Minimax Optimization Strategy for Process Parameters Planning: Toward Interference-Free Between Tool and Flexible Workpiece in Milling Process." ASME. J. Manuf. Sci. Eng. May 2017; 139(5): 051010. https://doi.org/10.1115/1.4035184
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