个人信息Personal Information
教授
博士生导师
硕士生导师
性别:男
毕业院校:大连理工大学
学位:博士
所在单位:机械工程学院
电子邮箱:guodm@dlut.edu.cn
Adaptive feedrate interpolation with multiconstraints for five-axis parametric toolpath
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论文类型:期刊论文
发表时间:2014-04-01
发表刊物:INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
收录刊物:SCIE、EI、Scopus
卷号:71
期号:9-12
页面范围:1873-1882
ISSN号:0268-3768
关键字:Feedrate scheduling; Interpolator; NURBS; Five-axis machining
摘要:A good adaptive feedrate will be helpful for improving machining accuracy and efficiency, as well as avoiding the excess of the machine's physical capabilities and feed fluctuations during machining. Therefore, it is highly desirable to consider the constraints of geometric error, cutting performance, and drive constraints in the feedrate scheduling of the parametric curve interpolator for five-axis computer numerical control machining. In this paper, a novel multiconstraints feedrate scheduling method is proposed for the parametric curve interpolator in five-axis machining. In the method, the feed optimization model is first built with the constraints of geometric error, the maximum feedrate and acceleration of cutter tip, and the maximum feedrate and acceleration of five-drive axes. Then, the relations between each constraint and the cutter tip feedrate are derived by means of near arc length parameterization. After that, a linear programming algorithm is applied to obtain the optimal feed profile on the sampling positions of the given tool path. Finally, illustrated examples are given to validate the feasibility and applicability of the proposed feedrate scheduling method. The comparison results show that the proposed method has an ability of the simultaneous guarantees of geometric accuracy, cutting performance, and drive characters of machine tools.