Proceedings of the 2015 International Conference on Intelligent Systems Research and Mechatronics Engineering

Prediction method for Surface Roughness based on Cutting parameters and Cloud model reasoning

Authors
Weigang Ding, Yanchao Yin
Corresponding Author
Weigang Ding
Available Online April 2015.
DOI
10.2991/isrme-15.2015.96How to use a DOI?
Keywords
Roughness; Cutting parameters; Precision prediction; Cloud model reasoning;
Abstract

According to the problem of lower prediction accuracy and narrower prediction range for the common prediction method, a new method for surface roughness prediction is putted forward. on the basis of analyzing large simple data, and cloud reasoning prediction model was established. Then the accuracy surface roughness prediction was realized with this model. Finally, experimental results showed that the presented method is more accurate than other methods in the same conditions.

Copyright
© 2015, 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 2015 International Conference on Intelligent Systems Research and Mechatronics Engineering
Series
Advances in Intelligent Systems Research
Publication Date
April 2015
ISBN
10.2991/isrme-15.2015.96
ISSN
1951-6851
DOI
10.2991/isrme-15.2015.96How to use a DOI?
Copyright
© 2015, 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  - Weigang Ding
AU  - Yanchao Yin
PY  - 2015/04
DA  - 2015/04
TI  - Prediction method for Surface Roughness based on Cutting parameters and Cloud model reasoning
BT  - Proceedings of the 2015 International Conference on Intelligent Systems Research and Mechatronics Engineering
PB  - Atlantis Press
SP  - 451
EP  - 455
SN  - 1951-6851
UR  - https://doi.org/10.2991/isrme-15.2015.96
DO  - 10.2991/isrme-15.2015.96
ID  - Ding2015/04
ER  -