Proceedings of the 2016 6th International Conference on Mechatronics, Computer and Education Informationization (MCEI 2016)

Epicyclic Gear Train Parametric Design Based on the Multi-objective Fuzzy Optimization Method

Authors
Nana Zhang, Yan Cao, Jiang Du, Qiang Li
Corresponding Author
Nana Zhang
Available Online December 2016.
DOI
https://doi.org/10.2991/mcei-16.2016.266How to use a DOI?
Keywords
Multi-objective fuzzy optimum design; Epicyclic gear train; Pro/E parametric design
Abstract
The research can achieve multi-objective fuzzy and multi constraint optimum design of epicyclic gear train which has large transmission ratio, high power, high efficiency and simple structure, compact epicyclic gear train with multi-objective fuzzy optimum method. Based on analyzing of structure types and characteristics of epicyclic gear train, the mathematical model of fuzzy optimal design for the target with little volume and high efficiency is proposed, which can realize the non-fuzzy processing of fuzzy factors. Based on the optimization results,the parametric design process of this kind of compound gear train is realized with Pro/E,and the normal design process of this type gear is defined.The research can achieve multi-objective fuzzy and multi constraint optimum design of epicyclic gear train which has large transmission ratio, high power, high efficiency and simple structure, compact epicyclic gear train with multi-objective fuzzy optimum method. Based on analyzing of structure types and characteristics of epicyclic gear train, the mathematical model of fuzzy optimal design for the target with little volume and high efficiency is proposed, which can realize the non-fuzzy processing of fuzzy factors. Based on the optimization results,the parametric design process of this kind of compound gear train is realized with Pro/E,and the normal design process of this type gear is defined.The research can achieve multi-objective fuzzy and multi constraint optimum design of epicyclic gear train which has large transmission ratio, high power, high efficiency and simple structure, compact epicyclic gear train with multi-objective fuzzy optimum method. Based on analyzing of structure types and characteristics of epicyclic gear train, the mathematical model of fuzzy optimal design for the target with little volume and high efficiency is proposed, which can realize the non-fuzzy processing of fuzzy factors. Based on the optimization results,the parametric design process of this kind of compound gear train is realized with Pro/E,and the normal design process of this type gear is defined.The research can achieve multi-objective fuzzy and multi constraint optimum design of epicyclic gear train which has large transmission ratio, high power, high efficiency and simple structure, compact epicyclic gear train with multi-objective fuzzy optimum method. Based on analyzing of structure types and characteristics of epicyclic gear train, the mathematical model of fuzzy optimal design for the target with little volume and high efficiency is proposed, which can realize the non-fuzzy processing of fuzzy factors. Based on the optimization results,the parametric design process of this kind of compound gear train is realized with Pro/E,and the normal design process of this type gear is defined.
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Proceedings
2016 6th International Conference on Mechatronics, Computer and Education Informationization (MCEI 2016)
Part of series
Advances in Intelligent Systems Research
Publication Date
December 2016
ISBN
978-94-6252-282-4
ISSN
1951-6851
DOI
https://doi.org/10.2991/mcei-16.2016.266How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Nana Zhang
AU  - Yan Cao
AU  - Jiang Du
AU  - Qiang Li
PY  - 2016/12
DA  - 2016/12
TI  - Epicyclic Gear Train Parametric Design Based on the Multi-objective Fuzzy Optimization Method
BT  - 2016 6th International Conference on Mechatronics, Computer and Education Informationization (MCEI 2016)
PB  - Atlantis Press
SP  - 1305
EP  - 1309
SN  - 1951-6851
UR  - https://doi.org/10.2991/mcei-16.2016.266
DO  - https://doi.org/10.2991/mcei-16.2016.266
ID  - Zhang2016/12
ER  -