Proceedings of the 4th International Conference on Information Systems and Computing Technology

Modeling and Evaluation of Milling Cutter Processing Capacity Based on Relational Algebra

Authors
Weiwei Ma, Yan Cao, Leijie Fu, Yu Bai
Corresponding Author
Weiwei Ma
Available Online December 2016.
DOI
10.2991/isct-16.2016.17How to use a DOI?
Keywords
Milling Cutter Processing Capacity; Fuzzy Evaluation; Analytic Hierarchy Process
Abstract

In this paper, facing the problem of tool selection in the machining process, an evaluation model of machining capacity of milling cutter, which is based on the method of relational algebra, is established. First, affecting processing capability factors are integrated by modeling. Second, these factors are quantized through the fuzzy evaluation method, and the data from quantitative processing are weight compared. Final, the comparative analysis of the models commonly used in the evaluation the processing capacity was conducted, which provided the corresponding reference for the model subsequent selection in the processing capacity evaluation. This method has a certainly significance for the choice of tool during machining in the process.

Copyright
© 2016, 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 4th International Conference on Information Systems and Computing Technology
Series
Advances in Computer Science Research
Publication Date
December 2016
ISBN
978-94-6252-276-3
ISSN
2352-538X
DOI
10.2991/isct-16.2016.17How to use a DOI?
Copyright
© 2016, 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  - Weiwei Ma
AU  - Yan Cao
AU  - Leijie Fu
AU  - Yu Bai
PY  - 2016/12
DA  - 2016/12
TI  - Modeling and Evaluation of Milling Cutter Processing Capacity Based on Relational Algebra
BT  - Proceedings of the 4th International Conference on Information Systems and Computing Technology
PB  - Atlantis Press
SP  - 101
EP  - 106
SN  - 2352-538X
UR  - https://doi.org/10.2991/isct-16.2016.17
DO  - 10.2991/isct-16.2016.17
ID  - Ma2016/12
ER  -