4.7 Article

NURBS Interpolator with Scheduling Scheme Combining Cubic and Quartic S-shaped Feedrate Profiles Under Drive and Chord Error Constraints

期刊

COMPUTER-AIDED DESIGN
卷 152, 期 -, 页码 -

出版社

ELSEVIER SCI LTD
DOI: 10.1016/j.cad.2022.103380

关键词

NURBS interpolation; Cubic feedrate scheduling; Quartic feedrate scheduling; Parametric interpolation; CNC

资金

  1. National Natural Science Foundation of China (NSFC) [51665005, 52165062]
  2. Guangxi Natural Science Foundation Program [2020JJD160004, 2019JJB160048]
  3. project of improving the basic scientific research ability of young and middle- aged teachers of colleges and universities in Guangxi [2020KY10014]

向作者/读者索取更多资源

This paper proposes an improved feedrate scheduling scheme that processes S-shaped quartic and cubic feedrate profiles to ensure machining quality and efficiency, while satisfying the chord error constraints as much as possible.
Traditional S-shaped feedrate profiles only account for the initial and end feedrates during scheduling; they fail to consider whether the feed rate should continuously satisfy the constraints of the chord error in the processing step. To overcome this problem, this paper proposes a feedrate scheduling scheme that processes S-shaped quartic feedrate profiles at the initial stage followed by S-shaped cubic feedrate profiles to ensure machining quality and efficiency. First, the scheme traverses the feedrate points that satisfy the chord error to determine a slope suitable for the jerk of S-shaped quartic feedrate profile, in order to ensure that the increase in the feedrates does not exceed its constraints. Second, an iterative method is used to optimally allocate processing time between the S-shaped cubic and quartic feedrate profiles to optimize processing efficiency. Finally, a method for determining the new maximum feedrate under feedrate interference is discussed. Simulations and experiments are performed to verify the effectiveness of the proposed method relative to other methods. The results reveal that, when using the proposed approach, the processing and running times of the computer are reduced by 39.48% and 118.34%, respectively, as compared with those of other methods.(C) 2022 Elsevier Ltd. All rights reserved.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.7
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据