Optimal Design for Rear Drive Axle House Based on Fuzzy Reliability Robust Analysis

DOI

10.2991/cmfe-15.2015.208How to use a DOI?

Keywords

rear drive axle house; fuzzy reliability; robustness; genetic algorithm; tractor

Abstract

In this paper, the rear drive axle house of Dong Fang Hong 40 tractor was selected as the research object, through Finite Element Analysis by ANSYS Workbench, critical sections and conditions were obtained. Based on results by FEA, multi-objective fuzzy reliability robustness design model of rear drive axle house was built. Applying genetic algorithm to solve the design model, multi-objective fuzzy reliability robustness design model was changed into several single-objective fuzzy reliability design models. Though adding the deflection constraint, static strength constraint, fatigue strength constraint, dimension constraint and fuzzy boundary condition constraint, the optimal design parameters were obtained. Compared with the original design, the mass of axis house was reduced by 20.54%, the sensitivity was also cut down by 33.08%, and the reliability and robustness were also improved. Combined with genetic algorithm, the fuzzy reliability robustness design method has obvious advantages than traditional methods, and the optimal results have been successfully applied.

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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TY  - CONF
AU  - Zhijun Wu
AU  - Lihua Zhang
PY  - 2015/07
DA  - 2015/07
TI  - Optimal Design for Rear Drive Axle House Based on Fuzzy Reliability Robust Analysis
BT  - Proceedings of the International Conference on Chemical, Material and Food Engineering
PB  - Atlantis Press
SP  - 887
EP  - 892
SN  - 2352-5401
UR  - https://doi.org/10.2991/cmfe-15.2015.208
DO  - 10.2991/cmfe-15.2015.208
ID  - Wu2015/07
ER  -