Geodesic Distance Field-Based Process Planning for Five-Axis Machining of Complicated Parts

被引:11
作者
He, Dong [1 ]
Li, Yamin [1 ]
Li, Zhaoyu [1 ]
Tang, Kai [1 ]
机构
[1] Hong Kong Univ Sci & Technol, Dept Mech & Aerosp Engn, Kowloon, Clear Water Bay, Hong Kong, Peoples R China
来源
JOURNAL OF MANUFACTURING SCIENCE AND ENGINEERING-TRANSACTIONS OF THE ASME | 2021年 / 143卷 / 06期
关键词
five-axis machining; geodesic distance field; volume decomposition; process planning; tetrahedron model; CAD; CAM; CAE; computer-integrated manufacturing; SURFACE; ALGORITHM; MESH;
D O I
10.1115/1.4048956
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
A critical task in multi-pass process planning for the five-axis machining of complicated parts is to determine the intermediate surfaces for rough machining. Traditionally, the intermediate surfaces are simply parallel Z-level planes, and the machining is of the simplest three-axis type. However, for complicated parts, this so-called Z-level method lacks flexibility and causes isolated islands on layers, which require extraneous air movements by the tool. Moreover, the in-process workpiece machined according to the Z-level method suffers from the staircase effect, which often induces unstable dynamic problems on the tool-spindle system. In this paper, we propose a new method of planning a five-axis machining process for a complicated freeform solid part. In our method, the intermediate surfaces are no longer planar but curved, and they are intrinsically influenced by the convex hull of the part. The powerful algebraic tool of geodesic distance field is utilized to generate the desired intermediate surfaces, for which collision-free five-axis machining tool paths are then planned. In addition, we propose a novel idea of alternating between the roughing and finishing machining operations, which helps improve the stiffness of the in-process workpiece. Ample physical cutting experiments are performed, and the experimental results convincingly confirm the advantages of our method.
引用
收藏
页数:14
相关论文
共 28 条
[1]  
Ameur A., 2017, Voxel-based tool sequence optimization for 5-axis machining using high performance computing
[2]   The Quickhull algorithm for convex hulls [J].
Barber, CB ;
Dobkin, DP ;
Huhdanpaa, H .
ACM TRANSACTIONS ON MATHEMATICAL SOFTWARE, 1996, 22 (04) :469-483
[3]  
Botsch M., 2004, P EUR, P185, DOI DOI 10.1145/1057432.1057457
[4]  
Chen L., 2017, INT J ADV MANUF TECH, V95, P2169
[5]   Optimal interface surface determination for multi-axis freeform surface machining with both roughing and finishing [J].
Chen, Lufeng ;
Hu, Pengcheng ;
Luo, Ming ;
Tang, Kai .
CHINESE JOURNAL OF AERONAUTICS, 2018, 31 (02) :370-384
[6]  
Collins J.S., 2018, Digital twin volume registration for Voxel-based closed-loop machining systems
[7]   Geodesics in Heat: A New Approach to Computing Distance Based on Heat Flow [J].
Crane, Keenan ;
Weischedel, Clarisse ;
Wardetzky, Max .
ACM TRANSACTIONS ON GRAPHICS, 2013, 32 (05)
[8]   Support-Free Volume Printing by Multi-Axis Motion [J].
Dai, Chengkai ;
Wang, Charlie C. L. ;
Wu, Chenmeng ;
Lefebvre, Sylvain ;
Fang, Guoxin ;
Liu, Yong-Jin .
ACM TRANSACTIONS ON GRAPHICS, 2018, 37 (04)
[9]   A morphing machining strategy for artificial bone [J].
Gan, Wen-feng ;
Fu, Jian-zhong ;
Shen, Hong-yao ;
Lin, Zhi-wei .
JOURNAL OF ZHEJIANG UNIVERSITY-SCIENCE A, 2014, 15 (03) :157-171
[10]  
Huang B., 2013, UCLA