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VARIABLE FEEDRATE INTERPOLATION OF NURBS TOOLPATH WITH GEOMETRIC AND KINEMATICAL CONSTRAINTS FOR FIVE-AXIS CNC MACHINING

查看参考文献39篇

文摘 Variable feedrate interpolation algorithms for five-axis parametric toolpath are very promising but still rather limited currently. In this paper, an off-line feedrate scheduling method of dual NURBS curve is presented with geometric and kinematical constraints. For a given dual parametric curve, the feedrates of sampling points are first scheduled sequent with confined feedrate of cutter tip and machine pivot, chord error, normal acceleration and angular feedrate. Then, the feedrate profiles of angular feed acceleration sensitive regions of the path are adjusted using a bi-directional scanning algorithm. After that, a linear programming method is used to adjust the feedrate profiles of linear feed acceleration sensitive regions and control the linear feed acceleration of both cutter tip and machine pivot within preset values. Further, a NURBS curve is used to fit the feedrates of sampling points. Finally, illustrative examples are carried out to validate the feasibility of the proposed feedrate scheduling method. The results show that the proposed method has the ability of effectively controlling the angular feed characters of cutter axis as well as the chord error and linear feed characters of cutter tip and machine pivot, and it has potential to be used in high accuracy and high quality five-axis machining.
来源 Journal of Systems Science and Complexity ,2013,26(5):757-776 【核心库】
DOI 10.1007/s11424-013-3177-z
关键词 Feedrate interpolation ; five-axis machining ; NURBS ; tool path
地址

Dalian University of Technology, Key Laboratory for Precision and Non-Traditional Machining Technology of the Ministry of Education, Dalian, 116024

语种 英文
文献类型 研究性论文
ISSN 1009-6124
学科 数学
基金 supported by the National Natural Science Foundation of China under Grant ;  国家973计划
文献收藏号 CSCD:4945920

参考文献 共 39 共2页

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引证文献 1 篇

1 Guo Jianxin Time Optimal Feedrate Generation with Confined Tracking Error Based on Linear Programming Journal of Systems Science and Complexity,2015,28(1):80-95
CSCD被引 3 次

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