Fuzzy Multi-object Optimization Design of Helical Gear Drive

DOI

10.2991/icmeim-17.2017.9How to use a DOI?

Keywords

Helical Gear Drive, Reducer, Multi-objective Optimization Design, Fuzzy Mathematics

Abstract

Fuzzy factors in the helical gear reducer design are analyzed, and a multi-objective optimization model with minimum volume and maximum bearing capacity is established in this paper. For multi-objectives, single-objective optimal solutions are fuzzified to form fuzzy sets to establish the membership functions of the fuzzy sets by taking the fuzziness between the single objectives and between the single objectives and multiple objectives into consideration, and multi-objective optimal solutions are obtained by maximizing the membership functions of the fuzzy set intersection. For an actual helical gear reducer, the fuzzy theory and method are applied to obtain results, and the validness of the method is demonstrated by comparing such results with the conventional design data.

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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TY  - CONF
AU  - Xiao-xing Liu
AU  - Qi-ying Pan
PY  - 2017/02
DA  - 2017/02
TI  - Fuzzy Multi-object Optimization Design of Helical Gear Drive
BT  - Proceedings of the 2017 International Conference on Manufacturing Engineering and Intelligent Materials (ICMEIM 2017)
PB  - Atlantis Press
SP  - 45
EP  - 49
SN  - 2352-5401
UR  - https://doi.org/10.2991/icmeim-17.2017.9
DO  - 10.2991/icmeim-17.2017.9
ID  - Liu2017/02
ER  -