Proceedings of the 2017 2nd International Conference on Electrical, Automation and Mechanical Engineering (EAME 2017)

A Tool Path Generation Method for Sculptured Surface Based on the Vector Field of Maximum Strip Width

Authors
Cheng Su, Xin Jiang, Guanying Huo, Danlei Ye, Zehong Lu, Bolun Wang, Zhiming Zheng
Corresponding Author
Cheng Su
Available Online April 2017.
DOI
10.2991/eame-17.2017.54How to use a DOI?
Keywords
tool path; streamline function; vector fied
Abstract

For three-axis sculptured surface machining, a tool path generation method based on the feed directions of maximum machining strip width is proposed. We use a B-Spline stream function to reconstruct the vector field of feed directions, and give the initial tool path by one of the iso-lines of the stream function. The integrated tool paths are generated using traditional iso-scallop method based on the previous obtained initial path. Numerical results show that the tool paths match the optimal vector field in the least square sense. Further a total shorter tool path length can be obtained.

Copyright
© 2017, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2017 2nd International Conference on Electrical, Automation and Mechanical Engineering (EAME 2017)
Series
Advances in Engineering Research
Publication Date
April 2017
ISBN
10.2991/eame-17.2017.54
ISSN
2352-5401
DOI
10.2991/eame-17.2017.54How to use a DOI?
Copyright
© 2017, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Cheng Su
AU  - Xin Jiang
AU  - Guanying Huo
AU  - Danlei Ye
AU  - Zehong Lu
AU  - Bolun Wang
AU  - Zhiming Zheng
PY  - 2017/04
DA  - 2017/04
TI  - A Tool Path Generation Method for Sculptured Surface Based on the Vector Field of Maximum Strip Width
BT  - Proceedings of the 2017 2nd International Conference on Electrical, Automation and Mechanical Engineering (EAME 2017)
PB  - Atlantis Press
SP  - 224
EP  - 229
SN  - 2352-5401
UR  - https://doi.org/10.2991/eame-17.2017.54
DO  - 10.2991/eame-17.2017.54
ID  - Su2017/04
ER  -