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

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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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  -