Robust Design of Load Sensing Proportional Valve by Orthogonal Experiment Analysis with Constrained Multi-objective Genetic Algorithm Huazhong University of Science and Tech

Format:

Conference/Event

Author/Creator:

Ma, Ma, author.

Contributor:

Jin, Ankang

Wu, Jinglai

Zhang, Yunqing

Conference Name:

SAE 2013 World Congress & Exhibition (2013-04-16 : Detroit, Michigan, United States)

Language:

English

Physical Description:

1 online resource

Place of Publication:

Warrendale, PA SAE International 2013

Summary:

This paper deals with the robust design of the Load Sensing Proportional Valve (LSPV). To find out the parameters which have main effect on the performance of the LSPV, the DOE based on orthogonal experiment is carried out utilizing the LSPV model built in AMESim environment. In order to save computation expense, the RSM technique is used to approximate the optimal objectives and constraints. Then a robust design methodology using multi-objective evolutionary algorithm (MOEA) is performed and a set of non-dominated solutions are therefore obtained. With specified assessments, feasible solutions can therefore be selected from the entire field of the Pareto optimal solutions. The validation is made by Monte Carlo Simulation Technique in terms of the robustness of the feasible solutions

Notes:

Vendor supplied data

Publisher Number:

2013-01-0378

Access Restriction:

Restricted for use by site license