Proceedings of the 2017 International Conference on Manufacturing Engineering and Intelligent Materials (ICMEIM 2017)

Parameter Setting for Dynamic Milling of Aluminum Alloy

Authors
Wen-ju Shan
Corresponding Author
Wen-ju Shan
Available Online February 2017.
DOI
10.2991/icmeim-17.2017.60How to use a DOI?
Keywords
Dynamic milling, Aluminum Alloy, Mastercam
Abstract

This paper introduces the application of dynamic milling technology in the mastercam software, and makes a further study on the processing technology of aluminum alloy workpiece. With the development of the industry, Aluminum alloy is in widely application in various fields, but due to its rigidity of the workpiece during the machining process, which is easy to make deformation, the processing quality is difficult to meet the specified requirements. Using the dynamic trajectory optimization of tool machining technology in high speed machining can make optimization in many ways, such as the tool cut-in and cut-out, tool moving, the corner solving etc. Dynamic trajectory optimization can formulate appropriate tool path processing aluminum alloy workpiece, and can also reduce tool wear and improve cutting efficiency.

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/).

Download article (PDF)

Volume Title
Proceedings of the 2017 International Conference on Manufacturing Engineering and Intelligent Materials (ICMEIM 2017)
Series
Advances in Engineering Research
Publication Date
February 2017
ISBN
978-94-6252-317-3
ISSN
2352-5401
DOI
10.2991/icmeim-17.2017.60How 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  - Wen-ju Shan
PY  - 2017/02
DA  - 2017/02
TI  - Parameter Setting for Dynamic Milling of Aluminum Alloy
BT  - Proceedings of the 2017 International Conference on Manufacturing Engineering and Intelligent Materials (ICMEIM 2017)
PB  - Atlantis Press
SP  - 356
EP  - 360
SN  - 2352-5401
UR  - https://doi.org/10.2991/icmeim-17.2017.60
DO  - 10.2991/icmeim-17.2017.60
ID  - Shan2017/02
ER  -