Partition-based 3 + 2-axis tool path generation for freeform surface machining using a non-spherical tool

Author:

Hao Jiancheng1,Li Zhaoyu1,Li Xiangyu1,Xie Fubao2,He Dong1,Tang Kai134

Affiliation:

1. Department of Mechanical and Aerospace Engineering, Hong Kong University of Science and Technology , Clear Water Bay, Kowloon, Hong Kong, China

2. Research Institute of Aero-Engine, Beihang University , Beijing 100191, China

3. HKUST Shenzhen-Hong Kong Collaborative Innovation Research Institute , Futian, Shenzhen, China

4. HKUST Shenzhen Research Institute , Shenzhen, China

Abstract

Abstract When machining a complex freeform part, using a non-spherical tool could significantly improve the machining efficiency, as one can adaptively adjust the tool posture to maximize its contact area with the part surface. However, since adjusting the tool posture requires changing the tool orientation, a five-axis machine tool is needed, which is extremely expensive as compared to a conventional three-axis machine tool. Moreover, for a complex freeform surface with high curvature variation, to match its curvature change, the tool axis has to drastically change accordingly, thus inducing high velocity and acceleration on the machine tool’s rotary axes. To address these issues, in this paper we propose a partition-based 3 + 2-axis strategy for machining a general complex freeform surface with a non-spherical tool. As only a finite small number of distinct tool orientations are needed for 3 + 2-axis machining, an indexed three-axis machine tool suffices, thus relieving the need of an expensive five-axis machine tool. In addition, the much-increased rigidity of the three linear axes of the machine tool will greatly improve the kinematics and dynamics of the machine tool and thus enhance the machining accuracy. Experiments in both computer simulation and physical machining are carried out, whose results confirm that, when compared to using a conventional spherical cutter, by using a non-spherical cutter and adaptively adjusting the contacting tool posture and the feed direction, significant improvement in machining efficiency could be achieved, e.g., more than 50% achieved in our experiments.

Funder

HKUST

Publisher

Oxford University Press (OUP)

Subject

Computational Mathematics,Computer Graphics and Computer-Aided Design,Human-Computer Interaction,Engineering (miscellaneous),Modeling and Simulation,Computational Mechanics

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Cubic time-spline fitting and interpolation for five-axis CNC machining;Journal of Computational Design and Engineering;2023-11-03

2. Data Transformation for the Optimal Projection Direction of Mesh Surface;2023 IEEE International Conference on Image Processing and Computer Applications (ICIPCA);2023-08-11

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